---
_id: '14716'
abstract:
- lang: eng
text: "Background: Antimicrobial resistance (AMR) poses a significant global health
threat, and an accurate prediction of bacterial resistance patterns is critical
for effective treatment and control strategies. In recent years, machine learning
(ML) approaches have emerged as powerful tools for analyzing large-scale bacterial
AMR data. However, ML methods often ignore evolutionary relationships among bacterial
strains, which can greatly impact performance of the ML methods, especially if
resistance-associated features are attempted to be detected. Genome-wide association
studies (GWAS) methods like linear mixed models accounts for the evolutionary
relationships in bacteria, but they uncover only highly significant variants which
have already been reported in literature.\r\n\r\nResults: In this work, we introduce
a novel phylogeny-related parallelism score (PRPS), which measures whether a certain
feature is correlated with the population structure of a set of samples. We demonstrate
that PRPS can be used, in combination with SVM- and random forest-based models,
to reduce the number of features in the analysis, while simultaneously increasing
models’ performance. We applied our pipeline to publicly available AMR data from
PATRIC database for Mycobacterium tuberculosis against six common antibiotics.\r\n\r\nConclusions:
Using our pipeline, we re-discovered known resistance-associated mutations as
well as new candidate mutations which can be related to resistance and not previously
reported in the literature. We demonstrated that taking into account phylogenetic
relationships not only improves the model performance, but also yields more biologically
relevant predicted most contributing resistance markers."
acknowledgement: Open Access funding enabled and organized by Projekt DEAL. A.Y. and
O.V.K. acknowledge financial support from the Klaus Faber Foundation. A.A.A. was
funded by the Helmholtz AI project AMR-XAI. The work of O.O.B. is funded by Fonds
zur Förderung der Wissenschaftlichen Forschung (FWF), Grant ESP 253-B.
article_number: '404'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Alper
full_name: Yurtseven, Alper
last_name: Yurtseven
- first_name: Sofia
full_name: Buyanova, Sofia
id: 2F54A7BC-3902-11EA-AC87-BC9F3DDC885E
last_name: Buyanova
- first_name: Amay Ajaykumar A.
full_name: Agrawal, Amay Ajaykumar A.
last_name: Agrawal
- first_name: Olga
full_name: Bochkareva, Olga
id: C4558D3C-6102-11E9-A62E-F418E6697425
last_name: Bochkareva
orcid: 0000-0003-1006-6639
- first_name: Olga V V.
full_name: Kalinina, Olga V V.
last_name: Kalinina
citation:
ama: Yurtseven A, Buyanova S, Agrawal AAA, Bochkareva O, Kalinina OVV. Machine learning
and phylogenetic analysis allow for predicting antibiotic resistance in M. tuberculosis.
BMC Microbiology. 2023;23(1). doi:10.1186/s12866-023-03147-7
apa: Yurtseven, A., Buyanova, S., Agrawal, A. A. A., Bochkareva, O., & Kalinina,
O. V. V. (2023). Machine learning and phylogenetic analysis allow for predicting
antibiotic resistance in M. tuberculosis. BMC Microbiology. Springer Nature.
https://doi.org/10.1186/s12866-023-03147-7
chicago: Yurtseven, Alper, Sofia Buyanova, Amay Ajaykumar A. Agrawal, Olga Bochkareva,
and Olga V V. Kalinina. “Machine Learning and Phylogenetic Analysis Allow for
Predicting Antibiotic Resistance in M. Tuberculosis.” BMC Microbiology.
Springer Nature, 2023. https://doi.org/10.1186/s12866-023-03147-7.
ieee: A. Yurtseven, S. Buyanova, A. A. A. Agrawal, O. Bochkareva, and O. V. V. Kalinina,
“Machine learning and phylogenetic analysis allow for predicting antibiotic resistance
in M. tuberculosis,” BMC Microbiology, vol. 23, no. 1. Springer Nature,
2023.
ista: Yurtseven A, Buyanova S, Agrawal AAA, Bochkareva O, Kalinina OVV. 2023. Machine
learning and phylogenetic analysis allow for predicting antibiotic resistance
in M. tuberculosis. BMC Microbiology. 23(1), 404.
mla: Yurtseven, Alper, et al. “Machine Learning and Phylogenetic Analysis Allow
for Predicting Antibiotic Resistance in M. Tuberculosis.” BMC Microbiology,
vol. 23, no. 1, 404, Springer Nature, 2023, doi:10.1186/s12866-023-03147-7.
short: A. Yurtseven, S. Buyanova, A.A.A. Agrawal, O. Bochkareva, O.V.V. Kalinina,
BMC Microbiology 23 (2023).
date_created: 2023-12-31T23:01:02Z
date_published: 2023-12-01T00:00:00Z
date_updated: 2024-01-02T09:20:57Z
day: '01'
ddc:
- '570'
department:
- _id: FyKo
doi: 10.1186/s12866-023-03147-7
external_id:
pmid:
- '38124060'
file:
- access_level: open_access
checksum: 7ff5e95f3496ff663301eb4a13a316d5
content_type: application/pdf
creator: dernst
date_created: 2024-01-02T09:09:32Z
date_updated: 2024-01-02T09:09:32Z
file_id: '14723'
file_name: 2023_BMCMicrobiology_Yurtseven.pdf
file_size: 1979922
relation: main_file
success: 1
file_date_updated: 2024-01-02T09:09:32Z
has_accepted_license: '1'
intvolume: ' 23'
issue: '1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
publication: BMC Microbiology
publication_identifier:
eissn:
- 1471-2180
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Machine learning and phylogenetic analysis allow for predicting antibiotic
resistance in M. tuberculosis
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 23
year: '2023'
...
---
_id: '13164'
abstract:
- lang: eng
text: Molecular compatibility between gametes is a prerequisite for successful fertilization.
As long as a sperm and egg can recognize and bind each other via their surface
proteins, gamete fusion may occur even between members of separate species, resulting
in hybrids that can impact speciation. The egg membrane protein Bouncer confers
species specificity to gamete interactions between medaka and zebrafish, preventing
their cross-fertilization. Here, we leverage this specificity to uncover distinct
amino acid residues and N-glycosylation patterns that differentially influence
the function of medaka and zebrafish Bouncer and contribute to cross-species incompatibility.
Curiously, in contrast to the specificity observed for medaka and zebrafish Bouncer,
seahorse and fugu Bouncer are compatible with both zebrafish and medaka sperm,
in line with the pervasive purifying selection that dominates Bouncer’s evolution.
The Bouncer-sperm interaction is therefore the product of seemingly opposing evolutionary
forces that, for some species, restrict fertilization to closely related fish,
and for others, allow broad gamete compatibility that enables hybridization.
acknowledgement: We thank Manfred Schartl for sharing RNA-seq data from medaka ovaries
and testes prior to publication; Maria Novatchkova for help with RNA-seq analysis;
Katharina Lust for advice on medaka techniques; Milan Malinsky for input on Lake
Malawi cichlid Bouncer sequences; Felicia Spitzer, Mirjam Binner, and Anna Bandura
for help with genotyping; Friedrich Puhl, Kerstin Rattner, Julia Koenig, and Dijana
Sunjic for taking care of zebrafish and medaka; and the Pauli lab for helpful discussions
about the project and feedback on the manuscript. K.R.B.G. was supported by a DOC
Fellowship from the Austrian Academy of Sciences. Work in the Pauli lab was supported
by the FWF START program (Y 1031-B28 to A.P.), the ERC CoG 101044495/GaMe, the HFSP
Career Development Award (CDA00066/2015 to A.P.), a HFSP Young Investigator Award
(RGY0079/2020 to A.P.) and the FWF SFB RNA-Deco (project number F80). The IMP receives
institutional funding from Boehringer Ingelheim and the Austrian Research Promotion
Agency (Headquarter grant FFG-852936). Work by J.S. and Y.M. in this project was
supported by the Israel Science Foundation grant 636/21 to Y.M. Work by L.J. was
supported by the Swedish Research Council grant 2020-04936 and the Knut and Alice
Wallenberg Foundation grant 2018.0042. For the purpose of Open Access, the author
has applied a CC BY public copyright license to any Author Accepted Manuscript (AAM)
version arising from this submission.
article_number: '3506'
article_processing_charge: No
article_type: original
author:
- first_name: Krista R.B.
full_name: Gert, Krista R.B.
last_name: Gert
- first_name: Karin
full_name: Panser, Karin
last_name: Panser
- first_name: Joachim
full_name: Surm, Joachim
last_name: Surm
- first_name: Benjamin S.
full_name: Steinmetz, Benjamin S.
last_name: Steinmetz
- first_name: Alexander
full_name: Schleiffer, Alexander
last_name: Schleiffer
- first_name: Luca
full_name: Jovine, Luca
last_name: Jovine
- first_name: Yehu
full_name: Moran, Yehu
last_name: Moran
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Andrea
full_name: Pauli, Andrea
last_name: Pauli
citation:
ama: Gert KRB, Panser K, Surm J, et al. Divergent molecular signatures in fish Bouncer
proteins define cross-fertilization boundaries. Nature Communications.
2023;14. doi:10.1038/s41467-023-39317-4
apa: Gert, K. R. B., Panser, K., Surm, J., Steinmetz, B. S., Schleiffer, A., Jovine,
L., … Pauli, A. (2023). Divergent molecular signatures in fish Bouncer proteins
define cross-fertilization boundaries. Nature Communications. Springer
Nature. https://doi.org/10.1038/s41467-023-39317-4
chicago: Gert, Krista R.B., Karin Panser, Joachim Surm, Benjamin S. Steinmetz, Alexander
Schleiffer, Luca Jovine, Yehu Moran, Fyodor Kondrashov, and Andrea Pauli. “Divergent
Molecular Signatures in Fish Bouncer Proteins Define Cross-Fertilization Boundaries.”
Nature Communications. Springer Nature, 2023. https://doi.org/10.1038/s41467-023-39317-4.
ieee: K. R. B. Gert et al., “Divergent molecular signatures in fish Bouncer
proteins define cross-fertilization boundaries,” Nature Communications,
vol. 14. Springer Nature, 2023.
ista: Gert KRB, Panser K, Surm J, Steinmetz BS, Schleiffer A, Jovine L, Moran Y,
Kondrashov F, Pauli A. 2023. Divergent molecular signatures in fish Bouncer proteins
define cross-fertilization boundaries. Nature Communications. 14, 3506.
mla: Gert, Krista R. B., et al. “Divergent Molecular Signatures in Fish Bouncer
Proteins Define Cross-Fertilization Boundaries.” Nature Communications,
vol. 14, 3506, Springer Nature, 2023, doi:10.1038/s41467-023-39317-4.
short: K.R.B. Gert, K. Panser, J. Surm, B.S. Steinmetz, A. Schleiffer, L. Jovine,
Y. Moran, F. Kondrashov, A. Pauli, Nature Communications 14 (2023).
date_created: 2023-06-25T22:00:45Z
date_published: 2023-06-14T00:00:00Z
date_updated: 2023-12-13T11:26:34Z
day: '14'
ddc:
- '570'
department:
- _id: FyKo
doi: 10.1038/s41467-023-39317-4
external_id:
isi:
- '001048208600023'
file:
- access_level: open_access
checksum: d6165f41c7f1c2c04b04256ec9f003fb
content_type: application/pdf
creator: dernst
date_created: 2023-06-26T10:26:04Z
date_updated: 2023-06-26T10:26:04Z
file_id: '13172'
file_name: 2023_NatureComm_Gert.pdf
file_size: 1555006
relation: main_file
success: 1
file_date_updated: 2023-06-26T10:26:04Z
has_accepted_license: '1'
intvolume: ' 14'
isi: 1
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
publication: Nature Communications
publication_identifier:
eissn:
- 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Divergent molecular signatures in fish Bouncer proteins define cross-fertilization
boundaries
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14
year: '2023'
...
---
_id: '13976'
abstract:
- lang: eng
text: Conflicts and natural disasters affect entire populations of the countries
involved and, in addition to the thousands of lives destroyed, have a substantial
negative impact on the scientific advances these countries provide. The unprovoked
invasion of Ukraine by Russia, the devastating earthquake in Turkey and Syria,
and the ongoing conflicts in the Middle East are just a few examples. Millions
of people have been killed or displaced, their futures uncertain. These events
have resulted in extensive infrastructure collapse, with loss of electricity,
transportation, and access to services. Schools, universities, and research centers
have been destroyed along with decades’ worth of data, samples, and findings.
Scholars in disaster areas face short- and long-term problems in terms of what
they can accomplish now for obtaining grants and for employment in the long run.
In our interconnected world, conflicts and disasters are no longer a local problem
but have wide-ranging impacts on the entire world, both now and in the future.
Here, we focus on the current and ongoing impact of war on the scientific community
within Ukraine and from this draw lessons that can be applied to all affected
countries where scientists at risk are facing hardship. We present and classify
examples of effective and feasible mechanisms used to support researchers in countries
facing hardship and discuss how these can be implemented with help from the international
scientific community and what more is desperately needed. Reaching out, providing
accessible training opportunities, and developing collaborations should increase
inclusion and connectivity, support scientific advancements within affected communities,
and expedite postwar and disaster recovery.
acknowledgement: "Our article is dedicated to all freedom-loving people around the
world and to the people of Ukraine who fight for our freedom. Special thanks to
Anita Bandrowski, Oleksandra V. Ivashchenko, and Sanita Reinsone for the helpful
review, valuable criticism, and useful suggestions while preparing this manuscript,
and to Tetiana Yes'kova for helping with Ukrainian translation.\r\nAll authors volunteered
their time. No funding supported work on this article."
article_processing_charge: Yes
article_type: original
author:
- first_name: Walter
full_name: Wolfsberger, Walter
last_name: Wolfsberger
- first_name: Karishma
full_name: Chhugani, Karishma
last_name: Chhugani
- first_name: Khrystyna
full_name: Shchubelka, Khrystyna
last_name: Shchubelka
- first_name: Alina
full_name: Frolova, Alina
last_name: Frolova
- first_name: Yuriy
full_name: Salyha, Yuriy
last_name: Salyha
- first_name: Oksana
full_name: Zlenko, Oksana
last_name: Zlenko
- first_name: Mykhailo
full_name: Arych, Mykhailo
last_name: Arych
- first_name: Dmytro
full_name: Dziuba, Dmytro
last_name: Dziuba
- first_name: Andrii
full_name: Parkhomenko, Andrii
last_name: Parkhomenko
- first_name: Volodymyr
full_name: Smolanka, Volodymyr
last_name: Smolanka
- first_name: Zeynep H.
full_name: Gümüş, Zeynep H.
last_name: Gümüş
- first_name: Efe
full_name: Sezgin, Efe
last_name: Sezgin
- first_name: Alondra
full_name: Diaz-Lameiro, Alondra
last_name: Diaz-Lameiro
- first_name: Viktor R.
full_name: Toth, Viktor R.
last_name: Toth
- first_name: Megi
full_name: Maci, Megi
last_name: Maci
- first_name: Eric
full_name: Bortz, Eric
last_name: Bortz
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Patricia M.
full_name: Morton, Patricia M.
last_name: Morton
- first_name: Paweł P.
full_name: Łabaj, Paweł P.
last_name: Łabaj
- first_name: Veronika
full_name: Romero, Veronika
last_name: Romero
- first_name: Jakub
full_name: Hlávka, Jakub
last_name: Hlávka
- first_name: Serghei
full_name: Mangul, Serghei
last_name: Mangul
- first_name: Taras K.
full_name: Oleksyk, Taras K.
last_name: Oleksyk
citation:
ama: 'Wolfsberger W, Chhugani K, Shchubelka K, et al. Scientists without borders:
Lessons from Ukraine. GigaScience. 2023;12. doi:10.1093/gigascience/giad045'
apa: 'Wolfsberger, W., Chhugani, K., Shchubelka, K., Frolova, A., Salyha, Y., Zlenko,
O., … Oleksyk, T. K. (2023). Scientists without borders: Lessons from Ukraine.
GigaScience. Oxford Academic. https://doi.org/10.1093/gigascience/giad045'
chicago: 'Wolfsberger, Walter, Karishma Chhugani, Khrystyna Shchubelka, Alina Frolova,
Yuriy Salyha, Oksana Zlenko, Mykhailo Arych, et al. “Scientists without Borders:
Lessons from Ukraine.” GigaScience. Oxford Academic, 2023. https://doi.org/10.1093/gigascience/giad045.'
ieee: 'W. Wolfsberger et al., “Scientists without borders: Lessons from Ukraine,”
GigaScience, vol. 12. Oxford Academic, 2023.'
ista: 'Wolfsberger W, Chhugani K, Shchubelka K, Frolova A, Salyha Y, Zlenko O, Arych
M, Dziuba D, Parkhomenko A, Smolanka V, Gümüş ZH, Sezgin E, Diaz-Lameiro A, Toth
VR, Maci M, Bortz E, Kondrashov F, Morton PM, Łabaj PP, Romero V, Hlávka J, Mangul
S, Oleksyk TK. 2023. Scientists without borders: Lessons from Ukraine. GigaScience.
12.'
mla: 'Wolfsberger, Walter, et al. “Scientists without Borders: Lessons from Ukraine.”
GigaScience, vol. 12, Oxford Academic, 2023, doi:10.1093/gigascience/giad045.'
short: W. Wolfsberger, K. Chhugani, K. Shchubelka, A. Frolova, Y. Salyha, O. Zlenko,
M. Arych, D. Dziuba, A. Parkhomenko, V. Smolanka, Z.H. Gümüş, E. Sezgin, A. Diaz-Lameiro,
V.R. Toth, M. Maci, E. Bortz, F. Kondrashov, P.M. Morton, P.P. Łabaj, V. Romero,
J. Hlávka, S. Mangul, T.K. Oleksyk, GigaScience 12 (2023).
date_created: 2023-08-06T22:01:13Z
date_published: 2023-07-27T00:00:00Z
date_updated: 2023-12-13T12:01:46Z
day: '27'
department:
- _id: FyKo
doi: 10.1093/gigascience/giad045
external_id:
isi:
- '001081086100001'
pmid:
- '37496156'
intvolume: ' 12'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1093/gigascience/giad045
month: '07'
oa: 1
oa_version: Published Version
pmid: 1
publication: GigaScience
publication_identifier:
eissn:
- 2047-217X
publication_status: epub_ahead
publisher: Oxford Academic
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Scientists without borders: Lessons from Ukraine'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 12
year: '2023'
...
---
_id: '12758'
abstract:
- lang: eng
text: AlphaFold changed the field of structural biology by achieving three-dimensional
(3D) structure prediction from protein sequence at experimental quality. The astounding
success even led to claims that the protein folding problem is “solved”. However,
protein folding problem is more than just structure prediction from sequence.
Presently, it is unknown if the AlphaFold-triggered revolution could help to solve
other problems related to protein folding. Here we assay the ability of AlphaFold
to predict the impact of single mutations on protein stability (ΔΔG) and function.
To study the question we extracted the pLDDT and metrics from AlphaFold
predictions before and after single mutation in a protein and correlated the predicted
change with the experimentally known ΔΔG values. Additionally, we correlated the
same AlphaFold pLDDT metrics with the impact of a single mutation on structure
using a large scale dataset of single mutations in GFP with the experimentally
assayed levels of fluorescence. We found a very weak or no correlation between
AlphaFold output metrics and change of protein stability or fluorescence. Our
results imply that AlphaFold may not be immediately applied to other problems
or applications in protein folding.
acknowledgement: The authors acknowledge the use of Zhores supercomputer [28] for
obtaining the results presented in this paper.The authors thank Zimin Foundation
and Petrovax for support of the presented study at the School of Molecular and Theoretical
Biology 2021.
article_number: e0282689
article_processing_charge: No
article_type: original
author:
- first_name: Marina A.
full_name: Pak, Marina A.
last_name: Pak
- first_name: Karina A.
full_name: Markhieva, Karina A.
last_name: Markhieva
- first_name: Mariia S.
full_name: Novikova, Mariia S.
last_name: Novikova
- first_name: Dmitry S.
full_name: Petrov, Dmitry S.
last_name: Petrov
- first_name: Ilya S.
full_name: Vorobyev, Ilya S.
last_name: Vorobyev
- first_name: Ekaterina
full_name: Maksimova, Ekaterina
id: 2FBE0DE4-F248-11E8-B48F-1D18A9856A87
last_name: Maksimova
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Dmitry N.
full_name: Ivankov, Dmitry N.
last_name: Ivankov
citation:
ama: Pak MA, Markhieva KA, Novikova MS, et al. Using AlphaFold to predict the impact
of single mutations on protein stability and function. PLoS ONE. 2023;18(3).
doi:10.1371/journal.pone.0282689
apa: Pak, M. A., Markhieva, K. A., Novikova, M. S., Petrov, D. S., Vorobyev, I.
S., Maksimova, E., … Ivankov, D. N. (2023). Using AlphaFold to predict the impact
of single mutations on protein stability and function. PLoS ONE. Public
Library of Science. https://doi.org/10.1371/journal.pone.0282689
chicago: Pak, Marina A., Karina A. Markhieva, Mariia S. Novikova, Dmitry S. Petrov,
Ilya S. Vorobyev, Ekaterina Maksimova, Fyodor Kondrashov, and Dmitry N. Ivankov.
“Using AlphaFold to Predict the Impact of Single Mutations on Protein Stability
and Function.” PLoS ONE. Public Library of Science, 2023. https://doi.org/10.1371/journal.pone.0282689.
ieee: M. A. Pak et al., “Using AlphaFold to predict the impact of single
mutations on protein stability and function,” PLoS ONE, vol. 18, no. 3.
Public Library of Science, 2023.
ista: Pak MA, Markhieva KA, Novikova MS, Petrov DS, Vorobyev IS, Maksimova E, Kondrashov
F, Ivankov DN. 2023. Using AlphaFold to predict the impact of single mutations
on protein stability and function. PLoS ONE. 18(3), e0282689.
mla: Pak, Marina A., et al. “Using AlphaFold to Predict the Impact of Single Mutations
on Protein Stability and Function.” PLoS ONE, vol. 18, no. 3, e0282689,
Public Library of Science, 2023, doi:10.1371/journal.pone.0282689.
short: M.A. Pak, K.A. Markhieva, M.S. Novikova, D.S. Petrov, I.S. Vorobyev, E. Maksimova,
F. Kondrashov, D.N. Ivankov, PLoS ONE 18 (2023).
date_created: 2023-03-26T22:01:07Z
date_published: 2023-03-16T00:00:00Z
date_updated: 2023-08-01T13:47:14Z
day: '16'
ddc:
- '570'
department:
- _id: FyKo
- _id: MaRo
doi: 10.1371/journal.pone.0282689
external_id:
isi:
- '000985134400106'
file:
- access_level: open_access
checksum: 0281bdfccf8d76c4e08dd011c603f6b6
content_type: application/pdf
creator: dernst
date_created: 2023-03-27T07:09:08Z
date_updated: 2023-03-27T07:09:08Z
file_id: '12771'
file_name: 2023_PLoSOne_Pak.pdf
file_size: 856625
relation: main_file
success: 1
file_date_updated: 2023-03-27T07:09:08Z
has_accepted_license: '1'
intvolume: ' 18'
isi: 1
issue: '3'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
publication: PLoS ONE
publication_identifier:
eissn:
- 1932-6203
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Using AlphaFold to predict the impact of single mutations on protein stability
and function
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 18
year: '2023'
...
---
_id: '10927'
abstract:
- lang: eng
text: "Motivation\r\nHigh plasticity of bacterial genomes is provided by numerous
mechanisms including horizontal gene transfer and recombination via numerous flanking
repeats. Genome rearrangements such as inversions, deletions, insertions and duplications
may independently occur in different strains, providing parallel adaptation or
phenotypic diversity. Specifically, such rearrangements might be responsible for
virulence, antibiotic resistance and antigenic variation. However, identification
of such events requires laborious manual inspection and verification of phyletic
pattern consistency.\r\nResults\r\nHere, we define the term ‘parallel rearrangements’
as events that occur independently in phylogenetically distant bacterial strains
and present a formalization of the problem of parallel rearrangements calling.
We implement an algorithmic solution for the identification of parallel rearrangements
in bacterial populations as a tool PaReBrick. The tool takes a collection of strains
represented as a sequence of oriented synteny blocks and a phylogenetic tree as
input data. It identifies rearrangements, tests them for consistency with a tree,
and sorts the events by their parallelism score. The tool provides diagrams of
the neighbors for each block of interest, allowing the detection of horizontally
transferred blocks or their extra copies and the inversions in which copied blocks
are involved. We demonstrated PaReBrick’s efficiency and accuracy and showed its
potential to detect genome rearrangements responsible for pathogenicity and adaptation
in bacterial genomes."
acknowledgement: "The authors thank the 2020 student class of the Bioinformatics Institute,
who\r\nused the first versions of the tool and provided many valuable suggestions
to\r\nimprove usability. They also thank Louisa Gonzalez Somermeyer for manuscript
proofreading\r\nThis work was supported by the National Center for Cognitive Research
of\r\nITMO University and JetBrains Research [to A.Z and N.A.]; and the European\r\nUnion’s
Horizon 2020 Research and Innovation Programme under the Marie\r\nSkłodowska-Curie
[754411 to O.B.].\r\nPaReBrick is written in Python and is available on GitHub:
https://github.com/ctlab/parallel-rearrangements."
article_processing_charge: No
article_type: original
author:
- first_name: Alexey
full_name: Zabelkin, Alexey
last_name: Zabelkin
- first_name: Yulia
full_name: Yakovleva, Yulia
last_name: Yakovleva
- first_name: Olga
full_name: Bochkareva, Olga
id: C4558D3C-6102-11E9-A62E-F418E6697425
last_name: Bochkareva
orcid: 0000-0003-1006-6639
- first_name: Nikita
full_name: Alexeev, Nikita
last_name: Alexeev
citation:
ama: 'Zabelkin A, Yakovleva Y, Bochkareva O, Alexeev N. PaReBrick: PArallel REarrangements
and BReaks identification toolkit. Bioinformatics. 2022;38(2):357-363.
doi:10.1093/bioinformatics/btab691'
apa: 'Zabelkin, A., Yakovleva, Y., Bochkareva, O., & Alexeev, N. (2022). PaReBrick:
PArallel REarrangements and BReaks identification toolkit. Bioinformatics.
Oxford Academic. https://doi.org/10.1093/bioinformatics/btab691'
chicago: 'Zabelkin, Alexey, Yulia Yakovleva, Olga Bochkareva, and Nikita Alexeev.
“PaReBrick: PArallel REarrangements and BReaks Identification Toolkit.” Bioinformatics.
Oxford Academic, 2022. https://doi.org/10.1093/bioinformatics/btab691.'
ieee: 'A. Zabelkin, Y. Yakovleva, O. Bochkareva, and N. Alexeev, “PaReBrick: PArallel
REarrangements and BReaks identification toolkit,” Bioinformatics, vol.
38, no. 2. Oxford Academic, pp. 357–363, 2022.'
ista: 'Zabelkin A, Yakovleva Y, Bochkareva O, Alexeev N. 2022. PaReBrick: PArallel
REarrangements and BReaks identification toolkit. Bioinformatics. 38(2), 357–363.'
mla: 'Zabelkin, Alexey, et al. “PaReBrick: PArallel REarrangements and BReaks Identification
Toolkit.” Bioinformatics, vol. 38, no. 2, Oxford Academic, 2022, pp. 357–63,
doi:10.1093/bioinformatics/btab691.'
short: A. Zabelkin, Y. Yakovleva, O. Bochkareva, N. Alexeev, Bioinformatics 38 (2022)
357–363.
date_created: 2022-03-27T22:01:46Z
date_published: 2022-01-15T00:00:00Z
date_updated: 2023-08-03T06:21:46Z
day: '15'
ddc:
- '000'
department:
- _id: FyKo
doi: 10.1093/bioinformatics/btab691
ec_funded: 1
external_id:
isi:
- '000743380100008'
file:
- access_level: open_access
checksum: 4b5688ff9ac86180ccdf7f82fa33d926
content_type: application/pdf
creator: dernst
date_created: 2022-03-28T08:07:46Z
date_updated: 2022-03-28T08:07:46Z
file_id: '10930'
file_name: 2022_Bioinformatics_Zabelkin.pdf
file_size: 3425744
relation: main_file
success: 1
file_date_updated: 2022-03-28T08:07:46Z
has_accepted_license: '1'
intvolume: ' 38'
isi: 1
issue: '2'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: 357-363
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Bioinformatics
publication_identifier:
eissn:
- 1460-2059
issn:
- 1367-4803
publication_status: published
publisher: Oxford Academic
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/ctlab/parallel-rearrangements
scopus_import: '1'
status: public
title: 'PaReBrick: PArallel REarrangements and BReaks identification toolkit'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 38
year: '2022'
...
---
_id: '11187'
abstract:
- lang: eng
text: During the COVID-19 pandemic, genomics and bioinformatics have emerged as
essential public health tools. The genomic data acquired using these methods have
supported the global health response, facilitated the development of testing methods
and allowed the timely tracking of novel SARS-CoV-2 variants. Yet the virtually
unlimited potential for rapid generation and analysis of genomic data is also
coupled with unique technical, scientific and organizational challenges. Here,
we discuss the application of genomic and computational methods for efficient
data-driven COVID-19 response, the advantages of the democratization of viral
sequencing around the world and the challenges associated with viral genome data
collection and processing.
acknowledgement: 'Our paper is dedicated to all freedom-loving people around the world,
and to the people of Ukraine who fight for our freedom. We thank William M. Switzer
and Ellsworth M. Campbell from the Division of HIV/AIDS Prevention, Centers for
Disease Control and Prevention (CDC), Atlanta, GA, USA, for discussions and suggestions.
We thank Jason Ladner from the Pathogen and Microbiome Institute, Northern Arizona
University, Flagstaff, AZ, for providing suggestions and feedback. S.M. was partially
supported by National Science Foundation grants 2041984. T.L. is supported by the
NSFC Excellent Young Scientists Fund (Hong Kong and Macau; 31922087), Research Grants
Council (RGC) Collaborative Research Fund (C7144-20GF), RGC Research Impact Fund
(R7021-20), Innovation and Technology Commission’s InnoHK funding (D24H) and Health
and Medical Research Fund (COVID190223). P.S. was supported by US National Institutes
of Health (NIH) grant 1R01EB025022 and National Science Foundation (NSF) grant 2047828.
M.A. acknowledges King Abdulaziz City for Science and Technology and the Saudi Human
Genome Project for technical and financial support (https://shgp.kacst.edu.sa) N.W.
was supported by US NIH grants R00 AI139445, DP2 AT011966 and R01 AI167910. A.S.
acknowledge funding from NSF grant no. 2029025. A.Z. has been partially supported
by NIH grants 1R01EB025022-01 and 1R21CA241044-01A1. S. Knyazev has been partly
supported by Molecular Basis of Disease at Georgia State University and NIH awards
R01 HG009120, R01 MH115676, R01 AI153827 and U01 HG011715. A.W. has been supported
by the CAMS Innovation Fund for Medical Sciences (2021-I2M-1-061). R.K. was supported
by NSF project 2038509, RAPID: Improving QIIME 2 and UniFrac for Viruses to Respond
to COVID-19, CDC project 30055281 with Scripps led by Kristian Andersen, Genomic
sequencing of SARS-CoV-2 to investigate local and cross-border emergence and spread.
J.O.W. was supported by NIH–National Institute of Allergy and Infectious Diseases
(NIAID) R01 AI135992 and receives funding from the CDC unrelated to this work. T.I.V.
is supported by the Branco Weiss Fellowship. Y.P. was supported by the Ministry
of Science and Higher Education of the Russian Federation within the framework of
state support for the creation and development of World-Class Research Centers “Digital
biodesign and personalized healthcare” N◦075-15-2020-926. E.B. was supported by
a US National Institute of General Medical Sciences IDeA Alaska INBRE (P20GM103395)
and NIAID CEIRR (75N93019R00028). C.E.M. thanks Testing for America (501c3), OpenCovidScreen
Foundation, Igor Tulchinsky and the WorldQuant Foundation, Bill Ackman and Olivia
Flatto and the Pershing Square Foundation, Ken Griffin and Citadel, the US National
Institutes of Health (R01AI125416, R01AI151059, R21AI129851, U01DA053941), and the
Alfred P. Sloan Foundation (G-2015-13964). C.Y.C. is supported by US CDC Epidemiology
and Laboratory Capacity (ELC) for Infectious Diseases grant 6NU50CK000539 to the
California Department of Public Health, the Innovative Genomics Institute (IGI)
at the University of California, Berkeley, and University of California, San Francisco,
NIH grant R33AI12945 and US CDC contract 75D30121C10991. A.K. was partly supported
by RFBR grant 20-515-80017. P.L. acknowledges support from the European Research
Council (ERC) under the European Union’s Horizon 2020 research and innovation program
(grant agreement no. ~725422 - ReservoirDOCS), the Wellcome Trust through project
206298/Z/17/Z (Artic Network) and NIH grants R01 AI153044 and U19 AI135995. K.C.
acknowledges support from the US NSF award EEID-IOS-2109688. F.K.’s work was supported
by an ERC Consolidator grant to F.K. (771209–CharFL).'
article_processing_charge: No
article_type: letter_note
author:
- first_name: Sergey
full_name: Knyazev, Sergey
last_name: Knyazev
- first_name: Karishma
full_name: Chhugani, Karishma
last_name: Chhugani
- first_name: Varuni
full_name: Sarwal, Varuni
last_name: Sarwal
- first_name: Ram
full_name: Ayyala, Ram
last_name: Ayyala
- first_name: Harman
full_name: Singh, Harman
last_name: Singh
- first_name: Smruthi
full_name: Karthikeyan, Smruthi
last_name: Karthikeyan
- first_name: Dhrithi
full_name: Deshpande, Dhrithi
last_name: Deshpande
- first_name: Pelin Icer
full_name: Baykal, Pelin Icer
last_name: Baykal
- first_name: Zoia
full_name: Comarova, Zoia
last_name: Comarova
- first_name: Angela
full_name: Lu, Angela
last_name: Lu
- first_name: Yuri
full_name: Porozov, Yuri
last_name: Porozov
- first_name: Tetyana I.
full_name: Vasylyeva, Tetyana I.
last_name: Vasylyeva
- first_name: Joel O.
full_name: Wertheim, Joel O.
last_name: Wertheim
- first_name: Braden T.
full_name: Tierney, Braden T.
last_name: Tierney
- first_name: Charles Y.
full_name: Chiu, Charles Y.
last_name: Chiu
- first_name: Ren
full_name: Sun, Ren
last_name: Sun
- first_name: Aiping
full_name: Wu, Aiping
last_name: Wu
- first_name: Malak S.
full_name: Abedalthagafi, Malak S.
last_name: Abedalthagafi
- first_name: Victoria M.
full_name: Pak, Victoria M.
last_name: Pak
- first_name: Shivashankar H.
full_name: Nagaraj, Shivashankar H.
last_name: Nagaraj
- first_name: Adam L.
full_name: Smith, Adam L.
last_name: Smith
- first_name: Pavel
full_name: Skums, Pavel
last_name: Skums
- first_name: Bogdan
full_name: Pasaniuc, Bogdan
last_name: Pasaniuc
- first_name: Andrey
full_name: Komissarov, Andrey
last_name: Komissarov
- first_name: Christopher E.
full_name: Mason, Christopher E.
last_name: Mason
- first_name: Eric
full_name: Bortz, Eric
last_name: Bortz
- first_name: Philippe
full_name: Lemey, Philippe
last_name: Lemey
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Niko
full_name: Beerenwinkel, Niko
last_name: Beerenwinkel
- first_name: Tommy Tsan Yuk
full_name: Lam, Tommy Tsan Yuk
last_name: Lam
- first_name: Nicholas C.
full_name: Wu, Nicholas C.
last_name: Wu
- first_name: Alex
full_name: Zelikovsky, Alex
last_name: Zelikovsky
- first_name: Rob
full_name: Knight, Rob
last_name: Knight
- first_name: Keith A.
full_name: Crandall, Keith A.
last_name: Crandall
- first_name: Serghei
full_name: Mangul, Serghei
last_name: Mangul
citation:
ama: Knyazev S, Chhugani K, Sarwal V, et al. Unlocking capacities of genomics for
the COVID-19 response and future pandemics. Nature Methods. 2022;19(4):374-380.
doi:10.1038/s41592-022-01444-z
apa: Knyazev, S., Chhugani, K., Sarwal, V., Ayyala, R., Singh, H., Karthikeyan,
S., … Mangul, S. (2022). Unlocking capacities of genomics for the COVID-19 response
and future pandemics. Nature Methods. Springer Nature. https://doi.org/10.1038/s41592-022-01444-z
chicago: Knyazev, Sergey, Karishma Chhugani, Varuni Sarwal, Ram Ayyala, Harman Singh,
Smruthi Karthikeyan, Dhrithi Deshpande, et al. “Unlocking Capacities of Genomics
for the COVID-19 Response and Future Pandemics.” Nature Methods. Springer
Nature, 2022. https://doi.org/10.1038/s41592-022-01444-z.
ieee: S. Knyazev et al., “Unlocking capacities of genomics for the COVID-19
response and future pandemics,” Nature Methods, vol. 19, no. 4. Springer
Nature, pp. 374–380, 2022.
ista: Knyazev S, Chhugani K, Sarwal V, Ayyala R, Singh H, Karthikeyan S, Deshpande
D, Baykal PI, Comarova Z, Lu A, Porozov Y, Vasylyeva TI, Wertheim JO, Tierney
BT, Chiu CY, Sun R, Wu A, Abedalthagafi MS, Pak VM, Nagaraj SH, Smith AL, Skums
P, Pasaniuc B, Komissarov A, Mason CE, Bortz E, Lemey P, Kondrashov F, Beerenwinkel
N, Lam TTY, Wu NC, Zelikovsky A, Knight R, Crandall KA, Mangul S. 2022. Unlocking
capacities of genomics for the COVID-19 response and future pandemics. Nature
Methods. 19(4), 374–380.
mla: Knyazev, Sergey, et al. “Unlocking Capacities of Genomics for the COVID-19
Response and Future Pandemics.” Nature Methods, vol. 19, no. 4, Springer
Nature, 2022, pp. 374–80, doi:10.1038/s41592-022-01444-z.
short: S. Knyazev, K. Chhugani, V. Sarwal, R. Ayyala, H. Singh, S. Karthikeyan,
D. Deshpande, P.I. Baykal, Z. Comarova, A. Lu, Y. Porozov, T.I. Vasylyeva, J.O.
Wertheim, B.T. Tierney, C.Y. Chiu, R. Sun, A. Wu, M.S. Abedalthagafi, V.M. Pak,
S.H. Nagaraj, A.L. Smith, P. Skums, B. Pasaniuc, A. Komissarov, C.E. Mason, E.
Bortz, P. Lemey, F. Kondrashov, N. Beerenwinkel, T.T.Y. Lam, N.C. Wu, A. Zelikovsky,
R. Knight, K.A. Crandall, S. Mangul, Nature Methods 19 (2022) 374–380.
date_created: 2022-04-17T22:01:48Z
date_published: 2022-04-08T00:00:00Z
date_updated: 2023-08-03T06:46:09Z
day: '08'
department:
- _id: FyKo
doi: 10.1038/s41592-022-01444-z
ec_funded: 1
external_id:
isi:
- '000781199600011'
pmid:
- '35396471'
intvolume: ' 19'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1038/s41592-022-01444-z
month: '04'
oa: 1
oa_version: Published Version
page: 374-380
pmid: 1
project:
- _id: 26580278-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '771209'
name: Characterizing the fitness landscape on population and global scales
publication: Nature Methods
publication_identifier:
eissn:
- 1548-7105
issn:
- 1548-7091
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Unlocking capacities of genomics for the COVID-19 response and future pandemics
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 19
year: '2022'
...
---
_id: '11344'
abstract:
- lang: eng
text: Until recently, Shigella and enteroinvasive Escherichia coli were thought
to be primate-restricted pathogens. The base of their pathogenicity is the type
3 secretion system (T3SS) encoded by the pINV virulence plasmid, which facilitates
host cell invasion and subsequent proliferation. A large family of T3SS effectors,
E3 ubiquitin-ligases encoded by the ipaH genes, have a key role in the Shigella
pathogenicity through the modulation of cellular ubiquitination that degrades
host proteins. However, recent genomic studies identified ipaH genes in the genomes
of Escherichia marmotae, a potential marmot pathogen, and an E. coli extracted
from fecal samples of bovine calves, suggesting that non-human hosts may also
be infected by these strains, potentially pathogenic to humans. We performed a
comparative genomic study of the functional repertoires in the ipaH gene family
in Shigella and enteroinvasive Escherichia from human and predicted non-human
hosts. We found that fewer than half of Shigella genomes had a complete set of
ipaH genes, with frequent gene losses and duplications that were not consistent
with the species tree and nomenclature. Non-human host IpaH proteins had a diverse
set of substrate-binding domains and, in contrast to the Shigella proteins, two
variants of the NEL C-terminal domain. Inconsistencies between strains phylogeny
and composition of effectors indicate horizontal gene transfer between E. coli
adapted to different hosts. These results provide a framework for understanding
of ipaH-mediated host-pathogens interactions and suggest a need for a genomic
study of fecal samples from diseased animals.
acknowledgement: 'The project was initiated with Aygul Minnegalieva and Yulia Yakovleva
at the Summer School of Molecular and Theoretical Biology (SMTB-2020), supported
by the Zimin Foundation. We thank Inna Shapovalenko, Daria Abuzova, Elizaveta Kaminskaya,
and Dmitriy Zvezdin for their contribution to the project during SMTB-2020. We also
thank Peter Vlasov for fruitful discussions.This study was supported by the Russian
Foundation for Basic Research (RFBR), Grant # 20-54-14005 and Fonds zur Förderung
der wissenschaftlichen Forschung (FWF), Grant # I5127-B. The work of OB is supported
by the European Union’s Horizon 2020 Research and Innovation Programme under the
Marie Skłodowska-Curie Grant Agreement No. 754411. '
article_number: '6868'
article_processing_charge: No
article_type: original
author:
- first_name: NO
full_name: Dranenko, NO
last_name: Dranenko
- first_name: MN
full_name: Tutukina, MN
last_name: Tutukina
- first_name: MS
full_name: Gelfand, MS
last_name: Gelfand
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Olga
full_name: Bochkareva, Olga
id: C4558D3C-6102-11E9-A62E-F418E6697425
last_name: Bochkareva
orcid: 0000-0003-1006-6639
citation:
ama: Dranenko N, Tutukina M, Gelfand M, Kondrashov F, Bochkareva O. Chromosome-encoded
IpaH ubiquitin ligases indicate non-human enteroinvasive Escherichia. Scientific
Reports. 2022;12. doi:10.1038/s41598-022-10827-3
apa: Dranenko, N., Tutukina, M., Gelfand, M., Kondrashov, F., & Bochkareva,
O. (2022). Chromosome-encoded IpaH ubiquitin ligases indicate non-human enteroinvasive
Escherichia. Scientific Reports. Springer Nature. https://doi.org/10.1038/s41598-022-10827-3
chicago: Dranenko, NO, MN Tutukina, MS Gelfand, Fyodor Kondrashov, and Olga Bochkareva.
“Chromosome-Encoded IpaH Ubiquitin Ligases Indicate Non-Human Enteroinvasive Escherichia.”
Scientific Reports. Springer Nature, 2022. https://doi.org/10.1038/s41598-022-10827-3.
ieee: N. Dranenko, M. Tutukina, M. Gelfand, F. Kondrashov, and O. Bochkareva, “Chromosome-encoded
IpaH ubiquitin ligases indicate non-human enteroinvasive Escherichia,” Scientific
Reports, vol. 12. Springer Nature, 2022.
ista: Dranenko N, Tutukina M, Gelfand M, Kondrashov F, Bochkareva O. 2022. Chromosome-encoded
IpaH ubiquitin ligases indicate non-human enteroinvasive Escherichia. Scientific
Reports. 12, 6868.
mla: Dranenko, NO, et al. “Chromosome-Encoded IpaH Ubiquitin Ligases Indicate Non-Human
Enteroinvasive Escherichia.” Scientific Reports, vol. 12, 6868, Springer
Nature, 2022, doi:10.1038/s41598-022-10827-3.
short: N. Dranenko, M. Tutukina, M. Gelfand, F. Kondrashov, O. Bochkareva, Scientific
Reports 12 (2022).
date_created: 2022-05-02T07:08:42Z
date_published: 2022-04-27T00:00:00Z
date_updated: 2023-08-03T06:59:49Z
day: '27'
ddc:
- '570'
department:
- _id: FyKo
doi: 10.1038/s41598-022-10827-3
ec_funded: 1
external_id:
isi:
- '000788639400032'
pmid:
- '35477739'
file:
- access_level: open_access
checksum: 12601b8a5c6b83bb618f92bcb963ecc9
content_type: application/pdf
creator: dernst
date_created: 2022-05-02T09:05:20Z
date_updated: 2022-05-02T09:05:20Z
file_id: '11349'
file_name: 2022_ScientificReports_Dranenko.pdf
file_size: 3564155
relation: main_file
success: 1
file_date_updated: 2022-05-02T09:05:20Z
has_accepted_license: '1'
intvolume: ' 12'
isi: 1
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: c098eddd-5a5b-11eb-8a69-abe27170a68f
grant_number: I05127
name: Evolutionary analysis of gene regulation
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Scientific Reports
publication_identifier:
issn:
- 2045-2322
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Chromosome-encoded IpaH ubiquitin ligases indicate non-human enteroinvasive
Escherichia
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 12
year: '2022'
...
---
_id: '11448'
abstract:
- lang: eng
text: Studies of protein fitness landscapes reveal biophysical constraints guiding
protein evolution and empower prediction of functional proteins. However, generalisation
of these findings is limited due to scarceness of systematic data on fitness landscapes
of proteins with a defined evolutionary relationship. We characterized the fitness
peaks of four orthologous fluorescent proteins with a broad range of sequence
divergence. While two of the four studied fitness peaks were sharp, the other
two were considerably flatter, being almost entirely free of epistatic interactions.
Mutationally robust proteins, characterized by a flat fitness peak, were not optimal
templates for machine-learning-driven protein design – instead, predictions were
more accurate for fragile proteins with epistatic landscapes. Our work paves insights
for practical application of fitness landscape heterogeneity in protein engineering.
acknowledged_ssus:
- _id: LifeSc
- _id: Bio
acknowledgement: "We thank Ondřej Draganov, Rodrigo Redondo, Bor Kavčič, Mia Juračić
and Andrea Pauli for discussion and technical advice. We thank Anita Testa Salmazo
for advice on resin protein purification, Dmitry Bolotin and the Milaboratory (milaboratory.com)
for access to computing and storage infrastructure, and Josef Houser and Eva Fujdiarova
for technical assistance and data interpretation. Core facility Biomolecular Interactions
and Crystallization of CEITEC Masaryk University is gratefully acknowledged for
the obtaining of the scientific data presented in this paper. This research was
supported by the Scientific Service Units (SSU) of IST-Austria\r\nthrough resources
provided by the Bioimaging Facility (BIF), and the Life Science Facility (LSF).
MiSeq and HiSeq NGS sequencing was performed by the Next Generation Sequencing Facility
at Vienna BioCenter Core Facilities (VBCF), member of the Vienna BioCenter (VBC),
Austria. FACS was performed at the BioOptics Facility of the Institute of Molecular
Pathology (IMP), Austria. We also thank the Biomolecular Crystallography Facility
in the Vanderbilt University Center for Structural Biology. We are grateful to Joel
M Harp for help with X-ray data collection. This work was supported by the ERC Consolidator
grant to FAK (771209—CharFL). KSS acknowledges support by President’s Grant МК–5405.2021.1.4,
the Imperial College Research Fellowship and the MRC London Institute of Medical
Sciences (UKRI MC-A658-5QEA0).\r\nAF is supported by the Marie Skłodowska-Curie
Fellowship (H2020-MSCA-IF-2019, Grant Agreement No. 898203, Project acronym \"FLINDIP\").
Experiments were partially carried out using equipment provided by the Institute
of Bioorganic Chemistry of the Russian Academy of Sciences Сore Facility (CKP IBCH).
This work was supported by a Russian Science Foundation grant 19-74-10102.This project
has received funding from the European Union’s Horizon 2020 research and innovation
programme under the Marie Skłodowska-Curie Grant Agreement No. 665,385."
article_number: '75842'
article_processing_charge: No
article_type: original
author:
- first_name: Louisa
full_name: Gonzalez Somermeyer, Louisa
id: 4720D23C-F248-11E8-B48F-1D18A9856A87
last_name: Gonzalez Somermeyer
orcid: 0000-0001-9139-5383
- first_name: Aubin
full_name: Fleiss, Aubin
last_name: Fleiss
- first_name: Alexander S
full_name: Mishin, Alexander S
last_name: Mishin
- first_name: Nina G
full_name: Bozhanova, Nina G
last_name: Bozhanova
- first_name: Anna A
full_name: Igolkina, Anna A
last_name: Igolkina
- first_name: Jens
full_name: Meiler, Jens
last_name: Meiler
- first_name: Maria-Elisenda
full_name: Alaball Pujol, Maria-Elisenda
last_name: Alaball Pujol
- first_name: Ekaterina V
full_name: Putintseva, Ekaterina V
last_name: Putintseva
- first_name: Karen S
full_name: Sarkisyan, Karen S
last_name: Sarkisyan
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
citation:
ama: Gonzalez Somermeyer L, Fleiss A, Mishin AS, et al. Heterogeneity of the GFP
fitness landscape and data-driven protein design. eLife. 2022;11. doi:10.7554/elife.75842
apa: Gonzalez Somermeyer, L., Fleiss, A., Mishin, A. S., Bozhanova, N. G., Igolkina,
A. A., Meiler, J., … Kondrashov, F. (2022). Heterogeneity of the GFP fitness landscape
and data-driven protein design. ELife. eLife Sciences Publications. https://doi.org/10.7554/elife.75842
chicago: Gonzalez Somermeyer, Louisa, Aubin Fleiss, Alexander S Mishin, Nina G Bozhanova,
Anna A Igolkina, Jens Meiler, Maria-Elisenda Alaball Pujol, Ekaterina V Putintseva,
Karen S Sarkisyan, and Fyodor Kondrashov. “Heterogeneity of the GFP Fitness Landscape
and Data-Driven Protein Design.” ELife. eLife Sciences Publications, 2022.
https://doi.org/10.7554/elife.75842.
ieee: L. Gonzalez Somermeyer et al., “Heterogeneity of the GFP fitness landscape
and data-driven protein design,” eLife, vol. 11. eLife Sciences Publications,
2022.
ista: Gonzalez Somermeyer L, Fleiss A, Mishin AS, Bozhanova NG, Igolkina AA, Meiler
J, Alaball Pujol M-E, Putintseva EV, Sarkisyan KS, Kondrashov F. 2022. Heterogeneity
of the GFP fitness landscape and data-driven protein design. eLife. 11, 75842.
mla: Gonzalez Somermeyer, Louisa, et al. “Heterogeneity of the GFP Fitness Landscape
and Data-Driven Protein Design.” ELife, vol. 11, 75842, eLife Sciences
Publications, 2022, doi:10.7554/elife.75842.
short: L. Gonzalez Somermeyer, A. Fleiss, A.S. Mishin, N.G. Bozhanova, A.A. Igolkina,
J. Meiler, M.-E. Alaball Pujol, E.V. Putintseva, K.S. Sarkisyan, F. Kondrashov,
ELife 11 (2022).
date_created: 2022-06-18T09:06:59Z
date_published: 2022-05-05T00:00:00Z
date_updated: 2023-08-03T07:20:15Z
day: '05'
ddc:
- '570'
department:
- _id: GradSch
- _id: FyKo
doi: 10.7554/elife.75842
ec_funded: 1
external_id:
isi:
- '000799197200001'
file:
- access_level: open_access
checksum: 7573c28f44028ab0cc81faef30039e44
content_type: application/pdf
creator: dernst
date_created: 2022-06-20T07:44:19Z
date_updated: 2022-06-20T07:44:19Z
file_id: '11454'
file_name: 2022_eLife_Somermeyer.pdf
file_size: 5297213
relation: main_file
success: 1
file_date_updated: 2022-06-20T07:44:19Z
has_accepted_license: '1'
intvolume: ' 11'
isi: 1
keyword:
- General Immunology and Microbiology
- General Biochemistry
- Genetics and Molecular Biology
- General Medicine
- General Neuroscience
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
project:
- _id: 26580278-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '771209'
name: Characterizing the fitness landscape on population and global scales
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: eLife
publication_identifier:
issn:
- 2050-084X
publication_status: published
publisher: eLife Sciences Publications
quality_controlled: '1'
scopus_import: '1'
status: public
title: Heterogeneity of the GFP fitness landscape and data-driven protein design
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 11
year: '2022'
...
---
_id: '11587'
abstract:
- lang: eng
text: "Background: Accurate and comprehensive annotation of transcript sequences
is essential for transcript quantification and differential gene and transcript
expression analysis. Single-molecule long-read sequencing technologies provide
improved integrity of transcript structures including alternative splicing, and
transcription start and polyadenylation sites. However, accuracy is significantly
affected by sequencing errors, mRNA degradation, or incomplete cDNA synthesis.\r\nResults:
We present a new and comprehensive Arabidopsis thaliana Reference Transcript Dataset
3 (AtRTD3). AtRTD3 contains over 169,000 transcripts—twice that of the best current
Arabidopsis transcriptome and including over 1500 novel genes. Seventy-eight percent
of transcripts are from Iso-seq with accurately defined splice junctions and transcription
start and end sites. We develop novel methods to determine splice junctions and
transcription start and end sites accurately. Mismatch profiles around splice
junctions provide a powerful feature to distinguish correct splice junctions and
remove false splice junctions. Stratified approaches identify high-confidence
transcription start and end sites and remove fragmentary transcripts due to degradation.
AtRTD3 is a major improvement over existing transcriptomes as demonstrated by
analysis of an Arabidopsis cold response RNA-seq time-series. AtRTD3 provides
higher resolution of transcript expression profiling and identifies cold-induced
differential transcription start and polyadenylation site usage.\r\nConclusions:
AtRTD3 is the most comprehensive Arabidopsis transcriptome currently. It improves
the precision of differential gene and transcript expression, differential alternative
splicing, and transcription start/end site usage analysis from RNA-seq data. The
novel methods for identifying accurate splice junctions and transcription start/end
sites are widely applicable and will improve single-molecule sequencing analysis
from any species."
acknowledgement: "This work was jointly supported by funding from the Biotechnology
and Biological Sciences Research Council (BBSRC) BB/P009751/1 to JB; BB/R014582/1
to RW and RZ; BB/S020160/1 to RZ; BB/S004610/1 (16 ERA-CAPS BARN) to RW; the Scottish
Government Rural and Environment Science and Analytical Services division (RESAS)
[to RZ, RW, and JB]; the\r\nNational Science Foundation (MCB-2014408) and the National
Institute of Health (NIH) (GM-114297) to E.H.; S. H. was supported by funding to
K.D. from the University of York; the Austrian Science Fund (FWF) SFB F43 to AB
and MJ and [P26333] to MK; The French Agence Nationale de la Recherche grant ANR-16-CE12-0032
to MC; the Japan Science and\r\nTechnology Agency (JST), the Core Research for Evolutionary
Science and Technology (CREST; Grant Number JPMJCR13B4) to M.S.; the National Science
Foundation (Grant No. DBI1949036 to A.b.H and A.S.N.R, and Grant No. MCB 2014542
to E.H. and A.S.N.R.); and the DOE Office of Science, Office of Biological and Environmental
Research (Grant\r\nNo. DE-SC0010733) to A.S.N.R and A.b.H.; the Deutsche Forschungsgemeinschaft
(DFG) STA653/14-1 and STA653/15-1 to DS; the National Science Foundation grant (IOS-154173)
to Q.Q.L.; the German Research Foundation (DFG) WA2167/8-1 to AW and SFB1101/C03
to AW and TWK; the Research Grants Council (RGC) of Hong Kong (GRF 12103020) to
LX. NSF grant IOS-1849708 and NSF EPSCoR grant 1826836 to RS; the Academia Sinica
to S.-L. T."
article_number: '149'
article_processing_charge: No
article_type: original
author:
- first_name: Runxuan
full_name: Zhang, Runxuan
last_name: Zhang
- first_name: Richard
full_name: Kuo, Richard
last_name: Kuo
- first_name: Max
full_name: Coulter, Max
last_name: Coulter
- first_name: Cristiane P.G.
full_name: Calixto, Cristiane P.G.
last_name: Calixto
- first_name: Juan Carlos
full_name: Entizne, Juan Carlos
last_name: Entizne
- first_name: Wenbin
full_name: Guo, Wenbin
last_name: Guo
- first_name: Yamile
full_name: Marquez, Yamile
last_name: Marquez
- first_name: Linda
full_name: Milne, Linda
last_name: Milne
- first_name: Stefan
full_name: Riegler, Stefan
id: FF6018E0-D806-11E9-8E43-0B14E6697425
last_name: Riegler
orcid: 0000-0003-3413-1343
- first_name: Akihiro
full_name: Matsui, Akihiro
last_name: Matsui
- first_name: Maho
full_name: Tanaka, Maho
last_name: Tanaka
- first_name: Sarah
full_name: Harvey, Sarah
last_name: Harvey
- first_name: Yubang
full_name: Gao, Yubang
last_name: Gao
- first_name: Theresa
full_name: Wießner-Kroh, Theresa
last_name: Wießner-Kroh
- first_name: Alejandro
full_name: Paniagua, Alejandro
last_name: Paniagua
- first_name: Martin
full_name: Crespi, Martin
last_name: Crespi
- first_name: Katherine
full_name: Denby, Katherine
last_name: Denby
- first_name: Asa Ben
full_name: Hur, Asa Ben
last_name: Hur
- first_name: Enamul
full_name: Huq, Enamul
last_name: Huq
- first_name: Michael
full_name: Jantsch, Michael
last_name: Jantsch
- first_name: Artur
full_name: Jarmolowski, Artur
last_name: Jarmolowski
- first_name: Tino
full_name: Koester, Tino
last_name: Koester
- first_name: Sascha
full_name: Laubinger, Sascha
last_name: Laubinger
- first_name: Qingshun Quinn
full_name: Li, Qingshun Quinn
last_name: Li
- first_name: Lianfeng
full_name: Gu, Lianfeng
last_name: Gu
- first_name: Motoaki
full_name: Seki, Motoaki
last_name: Seki
- first_name: Dorothee
full_name: Staiger, Dorothee
last_name: Staiger
- first_name: Ramanjulu
full_name: Sunkar, Ramanjulu
last_name: Sunkar
- first_name: Zofia
full_name: Szweykowska-Kulinska, Zofia
last_name: Szweykowska-Kulinska
- first_name: Shih Long
full_name: Tu, Shih Long
last_name: Tu
- first_name: Andreas
full_name: Wachter, Andreas
last_name: Wachter
- first_name: Robbie
full_name: Waugh, Robbie
last_name: Waugh
- first_name: Liming
full_name: Xiong, Liming
last_name: Xiong
- first_name: Xiao Ning
full_name: Zhang, Xiao Ning
last_name: Zhang
- first_name: Ana
full_name: Conesa, Ana
last_name: Conesa
- first_name: Anireddy S.N.
full_name: Reddy, Anireddy S.N.
last_name: Reddy
- first_name: Andrea
full_name: Barta, Andrea
last_name: Barta
- first_name: Maria
full_name: Kalyna, Maria
last_name: Kalyna
- first_name: John W.S.
full_name: Brown, John W.S.
last_name: Brown
citation:
ama: Zhang R, Kuo R, Coulter M, et al. A high-resolution single-molecule sequencing-based
Arabidopsis transcriptome using novel methods of Iso-seq analysis. Genome Biology.
2022;23. doi:10.1186/s13059-022-02711-0
apa: Zhang, R., Kuo, R., Coulter, M., Calixto, C. P. G., Entizne, J. C., Guo, W.,
… Brown, J. W. S. (2022). A high-resolution single-molecule sequencing-based Arabidopsis
transcriptome using novel methods of Iso-seq analysis. Genome Biology.
BioMed Central. https://doi.org/10.1186/s13059-022-02711-0
chicago: Zhang, Runxuan, Richard Kuo, Max Coulter, Cristiane P.G. Calixto, Juan
Carlos Entizne, Wenbin Guo, Yamile Marquez, et al. “A High-Resolution Single-Molecule
Sequencing-Based Arabidopsis Transcriptome Using Novel Methods of Iso-Seq Analysis.”
Genome Biology. BioMed Central, 2022. https://doi.org/10.1186/s13059-022-02711-0.
ieee: R. Zhang et al., “A high-resolution single-molecule sequencing-based
Arabidopsis transcriptome using novel methods of Iso-seq analysis,” Genome
Biology, vol. 23. BioMed Central, 2022.
ista: Zhang R, Kuo R, Coulter M, Calixto CPG, Entizne JC, Guo W, Marquez Y, Milne
L, Riegler S, Matsui A, Tanaka M, Harvey S, Gao Y, Wießner-Kroh T, Paniagua A,
Crespi M, Denby K, Hur AB, Huq E, Jantsch M, Jarmolowski A, Koester T, Laubinger
S, Li QQ, Gu L, Seki M, Staiger D, Sunkar R, Szweykowska-Kulinska Z, Tu SL, Wachter
A, Waugh R, Xiong L, Zhang XN, Conesa A, Reddy ASN, Barta A, Kalyna M, Brown JWS.
2022. A high-resolution single-molecule sequencing-based Arabidopsis transcriptome
using novel methods of Iso-seq analysis. Genome Biology. 23, 149.
mla: Zhang, Runxuan, et al. “A High-Resolution Single-Molecule Sequencing-Based
Arabidopsis Transcriptome Using Novel Methods of Iso-Seq Analysis.” Genome
Biology, vol. 23, 149, BioMed Central, 2022, doi:10.1186/s13059-022-02711-0.
short: R. Zhang, R. Kuo, M. Coulter, C.P.G. Calixto, J.C. Entizne, W. Guo, Y. Marquez,
L. Milne, S. Riegler, A. Matsui, M. Tanaka, S. Harvey, Y. Gao, T. Wießner-Kroh,
A. Paniagua, M. Crespi, K. Denby, A.B. Hur, E. Huq, M. Jantsch, A. Jarmolowski,
T. Koester, S. Laubinger, Q.Q. Li, L. Gu, M. Seki, D. Staiger, R. Sunkar, Z. Szweykowska-Kulinska,
S.L. Tu, A. Wachter, R. Waugh, L. Xiong, X.N. Zhang, A. Conesa, A.S.N. Reddy,
A. Barta, M. Kalyna, J.W.S. Brown, Genome Biology 23 (2022).
date_created: 2022-07-17T22:01:53Z
date_published: 2022-07-07T00:00:00Z
date_updated: 2023-08-03T12:04:18Z
day: '07'
ddc:
- '570'
department:
- _id: FyKo
doi: 10.1186/s13059-022-02711-0
external_id:
isi:
- '000821915500002'
file:
- access_level: open_access
checksum: 2c30ef84151d257a6b835b4e069b70ac
content_type: application/pdf
creator: dernst
date_created: 2022-07-18T08:15:24Z
date_updated: 2022-07-18T08:15:24Z
file_id: '11597'
file_name: 2022_GenomeBiology_Zhang.pdf
file_size: 3146207
relation: main_file
success: 1
file_date_updated: 2022-07-18T08:15:24Z
has_accepted_license: '1'
intvolume: ' 23'
isi: 1
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
publication: Genome Biology
publication_identifier:
eissn:
- 1474-760X
publication_status: published
publisher: BioMed Central
quality_controlled: '1'
scopus_import: '1'
status: public
title: A high-resolution single-molecule sequencing-based Arabidopsis transcriptome
using novel methods of Iso-seq analysis
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 23
year: '2022'
...
---
_id: '12116'
abstract:
- lang: eng
text: Russia’s unprovoked attack on Ukraine has destroyed civilian infrastructure,
including universities, research centers, and other academic infrastructure (1).
Many Ukrainian scholars and researchers remain in Ukraine, and their work has
suffered from major setbacks (2–4). We call on international scientists and institutions
to support them.
article_processing_charge: No
article_type: letter_note
author:
- first_name: Karishma
full_name: Chhugani, Karishma
last_name: Chhugani
- first_name: Alina
full_name: Frolova, Alina
last_name: Frolova
- first_name: Yuriy
full_name: Salyha, Yuriy
last_name: Salyha
- first_name: Andrada
full_name: Fiscutean, Andrada
last_name: Fiscutean
- first_name: Oksana
full_name: Zlenko, Oksana
last_name: Zlenko
- first_name: Sanita
full_name: Reinsone, Sanita
last_name: Reinsone
- first_name: Walter W.
full_name: Wolfsberger, Walter W.
last_name: Wolfsberger
- first_name: Oleksandra V.
full_name: Ivashchenko, Oleksandra V.
last_name: Ivashchenko
- first_name: Megi
full_name: Maci, Megi
last_name: Maci
- first_name: Dmytro
full_name: Dziuba, Dmytro
last_name: Dziuba
- first_name: Andrii
full_name: Parkhomenko, Andrii
last_name: Parkhomenko
- first_name: Eric
full_name: Bortz, Eric
last_name: Bortz
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Paweł P.
full_name: Łabaj, Paweł P.
last_name: Łabaj
- first_name: Veronika
full_name: Romero, Veronika
last_name: Romero
- first_name: Jakub
full_name: Hlávka, Jakub
last_name: Hlávka
- first_name: Taras K.
full_name: Oleksyk, Taras K.
last_name: Oleksyk
- first_name: Serghei
full_name: Mangul, Serghei
last_name: Mangul
citation:
ama: Chhugani K, Frolova A, Salyha Y, et al. Remote opportunities for scholars in
Ukraine. Science. 2022;378(6626):1285-1286. doi:10.1126/science.adg0797
apa: Chhugani, K., Frolova, A., Salyha, Y., Fiscutean, A., Zlenko, O., Reinsone,
S., … Mangul, S. (2022). Remote opportunities for scholars in Ukraine. Science.
American Association for the Advancement of Science. https://doi.org/10.1126/science.adg0797
chicago: Chhugani, Karishma, Alina Frolova, Yuriy Salyha, Andrada Fiscutean, Oksana
Zlenko, Sanita Reinsone, Walter W. Wolfsberger, et al. “Remote Opportunities for
Scholars in Ukraine.” Science. American Association for the Advancement
of Science, 2022. https://doi.org/10.1126/science.adg0797.
ieee: K. Chhugani et al., “Remote opportunities for scholars in Ukraine,”
Science, vol. 378, no. 6626. American Association for the Advancement of
Science, pp. 1285–1286, 2022.
ista: Chhugani K, Frolova A, Salyha Y, Fiscutean A, Zlenko O, Reinsone S, Wolfsberger
WW, Ivashchenko OV, Maci M, Dziuba D, Parkhomenko A, Bortz E, Kondrashov F, Łabaj
PP, Romero V, Hlávka J, Oleksyk TK, Mangul S. 2022. Remote opportunities for scholars
in Ukraine. Science. 378(6626), 1285–1286.
mla: Chhugani, Karishma, et al. “Remote Opportunities for Scholars in Ukraine.”
Science, vol. 378, no. 6626, American Association for the Advancement of
Science, 2022, pp. 1285–86, doi:10.1126/science.adg0797.
short: K. Chhugani, A. Frolova, Y. Salyha, A. Fiscutean, O. Zlenko, S. Reinsone,
W.W. Wolfsberger, O.V. Ivashchenko, M. Maci, D. Dziuba, A. Parkhomenko, E. Bortz,
F. Kondrashov, P.P. Łabaj, V. Romero, J. Hlávka, T.K. Oleksyk, S. Mangul, Science
378 (2022) 1285–1286.
date_created: 2023-01-12T11:56:30Z
date_published: 2022-12-22T00:00:00Z
date_updated: 2023-10-03T11:01:06Z
day: '22'
department:
- _id: FyKo
doi: 10.1126/science.adg0797
external_id:
isi:
- '000963463700023'
intvolume: ' 378'
isi: 1
issue: '6626'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1126/science.adg0797
month: '12'
oa: 1
oa_version: Published Version
page: 1285-1286
publication: Science
publication_identifier:
eissn:
- 1095-9203
issn:
- 0036-8075
publication_status: published
publisher: American Association for the Advancement of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Remote opportunities for scholars in Ukraine
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 378
year: '2022'
...
---
_id: '12131'
abstract:
- lang: eng
text: Replication-incompetent adenoviral vectors have been extensively used as a
platform for vaccine design, with at least four anti-COVID-19 vaccines authorized
to date. These vaccines elicit neutralizing antibody responses directed against
SARS-CoV-2 Spike protein and confer significant level of protection against SARS-CoV-2
infection. Immunization with adenovirus-vectored vaccines is known to be accompanied
by the production of anti-vector antibodies, which may translate into reduced
efficacy of booster or repeated rounds of revaccination. Here, we used blood samples
from patients who received an adenovirus-based Gam-COVID-Vac vaccine to address
the question of whether anti-vector antibodies may influence the magnitude of
SARS-CoV-2-specific humoral response after booster vaccination. We observed that
rAd26-based prime vaccination with Gam-COVID-Vac induced the development of Ad26-neutralizing
antibodies, which persisted in circulation for at least 9 months. Our analysis
further indicates that high pre-boost Ad26 neutralizing antibody titers do not
appear to affect the humoral immunogenicity of the Gam-COVID-Vac boost. The titers
of anti-SARS-CoV-2 RBD IgGs and antibodies, which neutralized both the wild type
and the circulating variants of concern of SARS-CoV-2 such as Delta and Omicron,
were independent of the pre-boost levels of Ad26-neutralizing antibodies. Thus,
our results support the development of repeated immunization schedule with adenovirus-based
COVID-19 vaccines.
acknowledgement: We thank Sergey Kulemzin, Grigory Efimov, Yuri Lebedin, Alexander
Taranin and Rudolf Valenta for providing reagents. Figures were created with the
help of BioRender.com. This work was supported by the Russian Science Foundation
(Project 21-15-00286). Byazrova M.G. was supported by the RUDN University Strategic
Academic Leadership Program.
article_number: '145'
article_processing_charge: No
article_type: original
author:
- first_name: Maria G.
full_name: Byazrova, Maria G.
last_name: Byazrova
- first_name: Ekaterina A.
full_name: Astakhova, Ekaterina A.
last_name: Astakhova
- first_name: Aygul
full_name: Minnegalieva, Aygul
id: 87DF77F0-1D9A-11EA-B6AE-CE443DDC885E
last_name: Minnegalieva
- first_name: Maria M.
full_name: Sukhova, Maria M.
last_name: Sukhova
- first_name: Artem A.
full_name: Mikhailov, Artem A.
last_name: Mikhailov
- first_name: Alexey G.
full_name: Prilipov, Alexey G.
last_name: Prilipov
- first_name: Andrey A.
full_name: Gorchakov, Andrey A.
last_name: Gorchakov
- first_name: Alexander V.
full_name: Filatov, Alexander V.
last_name: Filatov
citation:
ama: Byazrova MG, Astakhova EA, Minnegalieva A, et al. Anti-Ad26 humoral immunity
does not compromise SARS-COV-2 neutralizing antibody responses following Gam-COVID-Vac
booster vaccination. npj Vaccines. 2022;7. doi:10.1038/s41541-022-00566-x
apa: Byazrova, M. G., Astakhova, E. A., Minnegalieva, A., Sukhova, M. M., Mikhailov,
A. A., Prilipov, A. G., … Filatov, A. V. (2022). Anti-Ad26 humoral immunity does
not compromise SARS-COV-2 neutralizing antibody responses following Gam-COVID-Vac
booster vaccination. Npj Vaccines. Springer Nature. https://doi.org/10.1038/s41541-022-00566-x
chicago: Byazrova, Maria G., Ekaterina A. Astakhova, Aygul Minnegalieva, Maria M.
Sukhova, Artem A. Mikhailov, Alexey G. Prilipov, Andrey A. Gorchakov, and Alexander
V. Filatov. “Anti-Ad26 Humoral Immunity Does Not Compromise SARS-COV-2 Neutralizing
Antibody Responses Following Gam-COVID-Vac Booster Vaccination.” Npj Vaccines.
Springer Nature, 2022. https://doi.org/10.1038/s41541-022-00566-x.
ieee: M. G. Byazrova et al., “Anti-Ad26 humoral immunity does not compromise
SARS-COV-2 neutralizing antibody responses following Gam-COVID-Vac booster vaccination,”
npj Vaccines, vol. 7. Springer Nature, 2022.
ista: Byazrova MG, Astakhova EA, Minnegalieva A, Sukhova MM, Mikhailov AA, Prilipov
AG, Gorchakov AA, Filatov AV. 2022. Anti-Ad26 humoral immunity does not compromise
SARS-COV-2 neutralizing antibody responses following Gam-COVID-Vac booster vaccination.
npj Vaccines. 7, 145.
mla: Byazrova, Maria G., et al. “Anti-Ad26 Humoral Immunity Does Not Compromise
SARS-COV-2 Neutralizing Antibody Responses Following Gam-COVID-Vac Booster Vaccination.”
Npj Vaccines, vol. 7, 145, Springer Nature, 2022, doi:10.1038/s41541-022-00566-x.
short: M.G. Byazrova, E.A. Astakhova, A. Minnegalieva, M.M. Sukhova, A.A. Mikhailov,
A.G. Prilipov, A.A. Gorchakov, A.V. Filatov, Npj Vaccines 7 (2022).
date_created: 2023-01-12T12:02:54Z
date_published: 2022-11-15T00:00:00Z
date_updated: 2023-08-04T08:52:40Z
day: '15'
ddc:
- '570'
department:
- _id: FyKo
doi: 10.1038/s41541-022-00566-x
external_id:
isi:
- '000884278600004'
pmid:
- '36379998'
file:
- access_level: open_access
checksum: ddaac096381565b2b4b7dcc34cdbc4ee
content_type: application/pdf
creator: dernst
date_created: 2023-01-23T11:22:09Z
date_updated: 2023-01-23T11:22:09Z
file_id: '12347'
file_name: 2022_njpVaccines_Byazrova.pdf
file_size: 1856046
relation: main_file
success: 1
file_date_updated: 2023-01-23T11:22:09Z
has_accepted_license: '1'
intvolume: ' 7'
isi: 1
keyword:
- Pharmacology (medical)
- Infectious Diseases
- Pharmacology
- Immunology
- SARS-COV-2
- COVID
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
pmid: 1
publication: npj Vaccines
publication_identifier:
issn:
- 2059-0105
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Anti-Ad26 humoral immunity does not compromise SARS-COV-2 neutralizing antibody
responses following Gam-COVID-Vac booster vaccination
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 7
year: '2022'
...
---
_id: '12173'
abstract:
- lang: eng
text: With increasing urbanization and industrialization, the prevalence of inflammatory
bowel diseases (IBDs) has steadily been rising over the past two decades. IBD
involves flares of gastrointestinal (GI) inflammation accompanied by microbiota
perturbations. However, microbial mechanisms that trigger such flares remain elusive.
Here, we analyzed the association of the emerging pathogen atypical enteropathogenic
E. coli (aEPEC) with IBD disease activity. The presence of diarrheagenic E. coli
was assessed in stool samples from 630 IBD patients and 234 age- and sex-matched
controls without GI symptoms. Microbiota was analyzed with 16S ribosomal RNA gene
amplicon sequencing, and 57 clinical aEPEC isolates were subjected to whole-genome
sequencing and in vitro pathogenicity experiments including biofilm formation,
epithelial barrier function and the ability to induce pro-inflammatory signaling.
The presence of aEPEC correlated with laboratory, clinical and endoscopic disease
activity in ulcerative colitis (UC), as well as microbiota dysbiosis. In vitro,
aEPEC strains induce epithelial p21-activated kinases, disrupt the epithelial
barrier and display potent biofilm formation. The effector proteins espV and espG2
distinguish aEPEC cultured from UC and Crohn’s disease patients, respectively.
EspV-positive aEPEC harbor more virulence factors and have a higher pro-inflammatory
potential, which is counteracted by 5-ASA. aEPEC may tip a fragile immune–microbiota
homeostasis and thereby contribute to flares in UC. aEPEC isolates from UC patients
display properties to disrupt the epithelial barrier and to induce pro-inflammatory
signaling in vitro.
acknowledgement: "We would like to acknowledge Anita Krnjic, Christina Gmainer, Marion
Nehr, Helga Mock, and Sena Ecin for technical support in conducting the experiments.\r\nThis
study was supported by the Austrian Science Fund (P 32302) and the Vienna Science
and Technology Fund (LS18- 053; Austrian Science Fund (FWF)) [P 32302]."
article_number: e2143218
article_processing_charge: No
article_type: original
author:
- first_name: Maximilian
full_name: Baumgartner, Maximilian
last_name: Baumgartner
- first_name: Rebecca
full_name: Zirnbauer, Rebecca
last_name: Zirnbauer
- first_name: Sabine
full_name: Schlager, Sabine
last_name: Schlager
- first_name: Daniel
full_name: Mertens, Daniel
last_name: Mertens
- first_name: Nikolaus
full_name: Gasche, Nikolaus
last_name: Gasche
- first_name: Barbara
full_name: Sladek, Barbara
last_name: Sladek
- first_name: Craig
full_name: Herbold, Craig
last_name: Herbold
- first_name: Olga
full_name: Bochkareva, Olga
last_name: Bochkareva
- first_name: Vera
full_name: Emelianenko, Vera
id: 20152b9d-927a-11ed-8107-be36d740812d
last_name: Emelianenko
- first_name: Harald
full_name: Vogelsang, Harald
last_name: Vogelsang
- first_name: Michaela
full_name: Lang, Michaela
last_name: Lang
- first_name: Anton
full_name: Klotz, Anton
last_name: Klotz
- first_name: Birgit
full_name: Moik, Birgit
last_name: Moik
- first_name: Athanasios
full_name: Makristathis, Athanasios
last_name: Makristathis
- first_name: David
full_name: Berry, David
last_name: Berry
- first_name: Stefanie
full_name: Dabsch, Stefanie
last_name: Dabsch
- first_name: Vineeta
full_name: Khare, Vineeta
last_name: Khare
- first_name: Christoph
full_name: Gasche, Christoph
last_name: Gasche
citation:
ama: Baumgartner M, Zirnbauer R, Schlager S, et al. Atypical enteropathogenic E.
coli are associated with disease activity in ulcerative colitis. Gut Microbes.
2022;14(1). doi:10.1080/19490976.2022.2143218
apa: Baumgartner, M., Zirnbauer, R., Schlager, S., Mertens, D., Gasche, N., Sladek,
B., … Gasche, C. (2022). Atypical enteropathogenic E. coli are associated with
disease activity in ulcerative colitis. Gut Microbes. Taylor & Francis.
https://doi.org/10.1080/19490976.2022.2143218
chicago: Baumgartner, Maximilian, Rebecca Zirnbauer, Sabine Schlager, Daniel Mertens,
Nikolaus Gasche, Barbara Sladek, Craig Herbold, et al. “Atypical Enteropathogenic
E. Coli Are Associated with Disease Activity in Ulcerative Colitis.” Gut Microbes.
Taylor & Francis, 2022. https://doi.org/10.1080/19490976.2022.2143218.
ieee: M. Baumgartner et al., “Atypical enteropathogenic E. coli are associated
with disease activity in ulcerative colitis,” Gut Microbes, vol. 14, no.
1. Taylor & Francis, 2022.
ista: Baumgartner M, Zirnbauer R, Schlager S, Mertens D, Gasche N, Sladek B, Herbold
C, Bochkareva O, Emelianenko V, Vogelsang H, Lang M, Klotz A, Moik B, Makristathis
A, Berry D, Dabsch S, Khare V, Gasche C. 2022. Atypical enteropathogenic E. coli
are associated with disease activity in ulcerative colitis. Gut Microbes. 14(1),
e2143218.
mla: Baumgartner, Maximilian, et al. “Atypical Enteropathogenic E. Coli Are Associated
with Disease Activity in Ulcerative Colitis.” Gut Microbes, vol. 14, no.
1, e2143218, Taylor & Francis, 2022, doi:10.1080/19490976.2022.2143218.
short: M. Baumgartner, R. Zirnbauer, S. Schlager, D. Mertens, N. Gasche, B. Sladek,
C. Herbold, O. Bochkareva, V. Emelianenko, H. Vogelsang, M. Lang, A. Klotz, B.
Moik, A. Makristathis, D. Berry, S. Dabsch, V. Khare, C. Gasche, Gut Microbes
14 (2022).
date_created: 2023-01-12T12:11:36Z
date_published: 2022-11-22T00:00:00Z
date_updated: 2023-08-04T09:10:18Z
day: '22'
ddc:
- '570'
department:
- _id: FyKo
doi: 10.1080/19490976.2022.2143218
external_id:
isi:
- '000889180100001'
file:
- access_level: open_access
checksum: ee7681a17ae27645e9b5c1df61c15429
content_type: application/pdf
creator: dernst
date_created: 2023-01-26T10:56:51Z
date_updated: 2023-01-26T10:56:51Z
file_id: '12400'
file_name: 2022_GutMicrobes_Baumgartner.pdf
file_size: 4075251
relation: main_file
success: 1
file_date_updated: 2023-01-26T10:56:51Z
has_accepted_license: '1'
intvolume: ' 14'
isi: 1
issue: '1'
keyword:
- Infectious Diseases
- Microbiology (medical)
- Gastroenterology
- Microbiology
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
publication: Gut Microbes
publication_identifier:
eissn:
- 1949-0984
issn:
- 1949-0976
publication_status: published
publisher: Taylor & Francis
quality_controlled: '1'
scopus_import: '1'
status: public
title: Atypical enteropathogenic E. coli are associated with disease activity in ulcerative
colitis
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 14
year: '2022'
...
---
_id: '9255'
abstract:
- lang: eng
text: Our ability to trust that a random number is truly random is essential for
fields as diverse as cryptography and fundamental tests of quantum mechanics.
Existing solutions both come with drawbacks—device-independent quantum random
number generators (QRNGs) are highly impractical and standard semi-device-independent
QRNGs are limited to a specific physical implementation and level of trust. Here
we propose a framework for semi-device-independent randomness certification, using
a source of trusted vacuum in the form of a signal shutter. It employs a flexible
set of assumptions and levels of trust, allowing it to be applied in a wide range
of physical scenarios involving both quantum and classical entropy sources. We
experimentally demonstrate our protocol with a photonic setup and generate secure
random bits under three different assumptions with varying degrees of security
and resulting data rates.
acknowledgement: We would like to thank Robert Fickler for discussions about the experimental
realization and Marek Sýs for running the NIST randomness test on the data we acquired
in the experiment. We would like to thank Ugo Zanforlin, Gerald Buller, Daniel White,
and Cristian Bonato for their help with the experiment. M. Pivoluska, M. Plesch,
and M.M. acknowledge Czech-Austrian project MultiQUEST (I3053-N27 and GF17-33780L).
M. Pivoluska and M. Plesch additionally acknowledge the support of VEGA project
2/0136/19. M.F. acknowledges support from the Polish NCN grant Sonata UMO-2014/14/E/ST2/00020,
the European Research Council (ERC) under the European Union’s Horizon 2020 research
and innovation program ERC AdG CERQUTE (grant agreement No 834266), the State Research
Agency (AEI) TRANQI (PID2019-106888GB-I00/10.13039/501100011033), the Government
of Spain (FIS2020-TRANQI; Severo Ochoa CEX2019-000910-S), Fundació Cellex, Fundació
Mir-Puig, and Generalitat de Catalunya (CERCA, AGAUR). M.M., W.M., N.H.V., and C.F.
acknowledge support from the QuantERA ERA-NET Co-fund (FWF Project I3773-N36) and
the UK Engineering and Physical Sciences Research Council (EPSRC) (EP/P024114/1).
article_number: '50'
article_processing_charge: No
article_type: original
author:
- first_name: Matej
full_name: Pivoluska, Matej
last_name: Pivoluska
- first_name: Martin
full_name: Plesch, Martin
last_name: Plesch
- first_name: Máté
full_name: Farkas, Máté
last_name: Farkas
- first_name: Natalia
full_name: Ruzickova, Natalia
id: D2761128-D73D-11E9-A1BF-BA0DE6697425
last_name: Ruzickova
- first_name: Clara
full_name: Flegel, Clara
last_name: Flegel
- first_name: Natalia Herrera
full_name: Valencia, Natalia Herrera
last_name: Valencia
- first_name: Will
full_name: Mccutcheon, Will
last_name: Mccutcheon
- first_name: Mehul
full_name: Malik, Mehul
last_name: Malik
- first_name: Edgar A.
full_name: Aguilar, Edgar A.
last_name: Aguilar
citation:
ama: Pivoluska M, Plesch M, Farkas M, et al. Semi-device-independent random number
generation with flexible assumptions. npj Quantum Information. 2021;7.
doi:10.1038/s41534-021-00387-1
apa: Pivoluska, M., Plesch, M., Farkas, M., Ruzickova, N., Flegel, C., Valencia,
N. H., … Aguilar, E. A. (2021). Semi-device-independent random number generation
with flexible assumptions. Npj Quantum Information. Springer Nature. https://doi.org/10.1038/s41534-021-00387-1
chicago: Pivoluska, Matej, Martin Plesch, Máté Farkas, Natalia Ruzickova, Clara
Flegel, Natalia Herrera Valencia, Will Mccutcheon, Mehul Malik, and Edgar A. Aguilar.
“Semi-Device-Independent Random Number Generation with Flexible Assumptions.”
Npj Quantum Information. Springer Nature, 2021. https://doi.org/10.1038/s41534-021-00387-1.
ieee: M. Pivoluska et al., “Semi-device-independent random number generation
with flexible assumptions,” npj Quantum Information, vol. 7. Springer Nature,
2021.
ista: Pivoluska M, Plesch M, Farkas M, Ruzickova N, Flegel C, Valencia NH, Mccutcheon
W, Malik M, Aguilar EA. 2021. Semi-device-independent random number generation
with flexible assumptions. npj Quantum Information. 7, 50.
mla: Pivoluska, Matej, et al. “Semi-Device-Independent Random Number Generation
with Flexible Assumptions.” Npj Quantum Information, vol. 7, 50, Springer
Nature, 2021, doi:10.1038/s41534-021-00387-1.
short: M. Pivoluska, M. Plesch, M. Farkas, N. Ruzickova, C. Flegel, N.H. Valencia,
W. Mccutcheon, M. Malik, E.A. Aguilar, Npj Quantum Information 7 (2021).
date_created: 2021-03-21T23:01:19Z
date_published: 2021-03-15T00:00:00Z
date_updated: 2023-08-07T14:17:26Z
day: '15'
ddc:
- '530'
department:
- _id: FyKo
doi: 10.1038/s41534-021-00387-1
external_id:
isi:
- '000629173100001'
file:
- access_level: open_access
checksum: 26d3f2a2c8c8fa8c1002028326b45f64
content_type: application/pdf
creator: dernst
date_created: 2021-03-22T11:09:34Z
date_updated: 2021-03-22T11:09:34Z
file_id: '9274'
file_name: 2021_NPJQuantumInformation_Pivoluska.pdf
file_size: 1360271
relation: main_file
success: 1
file_date_updated: 2021-03-22T11:09:34Z
has_accepted_license: '1'
intvolume: ' 7'
isi: 1
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
publication: npj Quantum Information
publication_identifier:
eissn:
- 2056-6387
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Semi-device-independent random number generation with flexible assumptions
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 7
year: '2021'
...
---
_id: '9380'
abstract:
- lang: eng
text: Shigella are pathogens originating within the Escherichia lineage but frequently
classified as a separate genus. Shigella genomes contain numerous insertion sequences
(ISs) that lead to pseudogenisation of affected genes and an increase of non-homologous
recombination. Here, we study 414 genomes of E. coli and Shigella strains to assess
the contribution of genomic rearrangements to Shigella evolution. We found that
Shigella experienced exceptionally high rates of intragenomic rearrangements and
had a decreased rate of homologous recombination compared to pathogenic and non-pathogenic
E. coli. The high rearrangement rate resulted in independent disruption of syntenic
regions and parallel rearrangements in different Shigella lineages. Specifically,
we identified two types of chromosomally encoded E3 ubiquitin-protein ligases
acquired independently by all Shigella strains that also showed a high level of
sequence conservation in the promoter and further in the 5′-intergenic region.
In the only available enteroinvasive E. coli (EIEC) strain, which is a pathogenic
E. coli with a phenotype intermediate between Shigella and non-pathogenic E. coli,
we found a rate of genome rearrangements comparable to those in other E. coli
and no functional copies of the two Shigella-specific E3 ubiquitin ligases. These
data indicate that the accumulation of ISs influenced many aspects of genome evolution
and played an important role in the evolution of intracellular pathogens. Our
research demonstrates the power of comparative genomics-based on synteny block
composition and an important role of non-coding regions in the evolution of genomic
islands.
acknowledgement: We thank Fyodor Kondrashov for valuable advice and manuscript proofreading.
We also thank Alla Mikheenko for assistance with Circos.
article_number: '628622'
article_processing_charge: No
article_type: original
author:
- first_name: Zaira
full_name: Seferbekova, Zaira
last_name: Seferbekova
- first_name: Alexey
full_name: Zabelkin, Alexey
last_name: Zabelkin
- first_name: Yulia
full_name: Yakovleva, Yulia
last_name: Yakovleva
- first_name: Robert
full_name: Afasizhev, Robert
last_name: Afasizhev
- first_name: Natalia O.
full_name: Dranenko, Natalia O.
last_name: Dranenko
- first_name: Nikita
full_name: Alexeev, Nikita
last_name: Alexeev
- first_name: Mikhail S.
full_name: Gelfand, Mikhail S.
last_name: Gelfand
- first_name: Olga
full_name: Bochkareva, Olga
id: C4558D3C-6102-11E9-A62E-F418E6697425
last_name: Bochkareva
orcid: 0000-0003-1006-6639
citation:
ama: Seferbekova Z, Zabelkin A, Yakovleva Y, et al. High rates of genome rearrangements
and pathogenicity of Shigella spp. Frontiers in Microbiology. 2021;12.
doi:10.3389/fmicb.2021.628622
apa: Seferbekova, Z., Zabelkin, A., Yakovleva, Y., Afasizhev, R., Dranenko, N. O.,
Alexeev, N., … Bochkareva, O. (2021). High rates of genome rearrangements and
pathogenicity of Shigella spp. Frontiers in Microbiology. Frontiers. https://doi.org/10.3389/fmicb.2021.628622
chicago: Seferbekova, Zaira, Alexey Zabelkin, Yulia Yakovleva, Robert Afasizhev,
Natalia O. Dranenko, Nikita Alexeev, Mikhail S. Gelfand, and Olga Bochkareva.
“High Rates of Genome Rearrangements and Pathogenicity of Shigella Spp.” Frontiers
in Microbiology. Frontiers, 2021. https://doi.org/10.3389/fmicb.2021.628622.
ieee: Z. Seferbekova et al., “High rates of genome rearrangements and pathogenicity
of Shigella spp,” Frontiers in Microbiology, vol. 12. Frontiers, 2021.
ista: Seferbekova Z, Zabelkin A, Yakovleva Y, Afasizhev R, Dranenko NO, Alexeev
N, Gelfand MS, Bochkareva O. 2021. High rates of genome rearrangements and pathogenicity
of Shigella spp. Frontiers in Microbiology. 12, 628622.
mla: Seferbekova, Zaira, et al. “High Rates of Genome Rearrangements and Pathogenicity
of Shigella Spp.” Frontiers in Microbiology, vol. 12, 628622, Frontiers,
2021, doi:10.3389/fmicb.2021.628622.
short: Z. Seferbekova, A. Zabelkin, Y. Yakovleva, R. Afasizhev, N.O. Dranenko, N.
Alexeev, M.S. Gelfand, O. Bochkareva, Frontiers in Microbiology 12 (2021).
date_created: 2021-05-09T22:01:38Z
date_published: 2021-04-12T00:00:00Z
date_updated: 2023-08-08T13:30:39Z
day: '12'
ddc:
- '570'
department:
- _id: FyKo
doi: 10.3389/fmicb.2021.628622
ec_funded: 1
external_id:
isi:
- '000643713300001'
file:
- access_level: open_access
checksum: 2f856543add59273a482a7f326fc0400
content_type: application/pdf
creator: kschuh
date_created: 2021-05-11T13:05:52Z
date_updated: 2021-05-11T13:05:52Z
file_id: '9384'
file_name: 2021_Frontiers_Microbiology_Seferbekova.pdf
file_size: 14362316
relation: main_file
success: 1
file_date_updated: 2021-05-11T13:05:52Z
has_accepted_license: '1'
intvolume: ' 12'
isi: 1
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Frontiers in Microbiology
publication_identifier:
eissn:
- 1664-302X
publication_status: published
publisher: Frontiers
quality_controlled: '1'
scopus_import: '1'
status: public
title: High rates of genome rearrangements and pathogenicity of Shigella spp
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 12
year: '2021'
...
---
_id: '9905'
abstract:
- lang: eng
text: Vaccines are thought to be the best available solution for controlling the
ongoing SARS-CoV-2 pandemic. However, the emergence of vaccine-resistant strains
may come too rapidly for current vaccine developments to alleviate the health,
economic and social consequences of the pandemic. To quantify and characterize
the risk of such a scenario, we created a SIR-derived model with initial stochastic
dynamics of the vaccine-resistant strain to study the probability of its emergence
and establishment. Using parameters realistically resembling SARS-CoV-2 transmission,
we model a wave-like pattern of the pandemic and consider the impact of the rate
of vaccination and the strength of non-pharmaceutical intervention measures on
the probability of emergence of a resistant strain. As expected, we found that
a fast rate of vaccination decreases the probability of emergence of a resistant
strain. Counterintuitively, when a relaxation of non-pharmaceutical interventions
happened at a time when most individuals of the population have already been vaccinated
the probability of emergence of a resistant strain was greatly increased. Consequently,
we show that a period of transmission reduction close to the end of the vaccination
campaign can substantially reduce the probability of resistant strain establishment.
Our results suggest that policymakers and individuals should consider maintaining
non-pharmaceutical interventions and transmission-reducing behaviours throughout
the entire vaccination period.
acknowledgement: We thank Alexey Kondrashov, Nick Machnik, Raimundo Julian Saona Urmeneta,
Gasper Tkacik and Nick Barton for fruitful discussions. We also thank participants
of EvoLunch seminar at IST Austria and the internal seminar at the Banco de España
for useful comments. The opinions expressed in this document are exclusively of
the authors and, therefore, do not necessarily coincide with those of the Banco
de España or the Eurosystem. ETD is supported by the Swiss National Science and
Louis Jeantet Foundation. The work of FAK was in part supported by the ERC Consolidator
Grant (771209-CharFL).
article_number: '15729'
article_processing_charge: Yes
article_type: original
author:
- first_name: Simon
full_name: Rella, Simon
id: B4765ACA-AA38-11E9-AC9A-0930E6697425
last_name: Rella
- first_name: Yuliya A.
full_name: Kulikova, Yuliya A.
last_name: Kulikova
- first_name: Emmanouil T.
full_name: Dermitzakis, Emmanouil T.
last_name: Dermitzakis
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
citation:
ama: Rella S, Kulikova YA, Dermitzakis ET, Kondrashov F. Rates of SARS-CoV-2 transmission
and vaccination impact the fate of vaccine-resistant strains. Scientific Reports.
2021;11(1). doi:10.1038/s41598-021-95025-3
apa: Rella, S., Kulikova, Y. A., Dermitzakis, E. T., & Kondrashov, F. (2021).
Rates of SARS-CoV-2 transmission and vaccination impact the fate of vaccine-resistant
strains. Scientific Reports. Springer Nature. https://doi.org/10.1038/s41598-021-95025-3
chicago: Rella, Simon, Yuliya A. Kulikova, Emmanouil T. Dermitzakis, and Fyodor
Kondrashov. “Rates of SARS-CoV-2 Transmission and Vaccination Impact the Fate
of Vaccine-Resistant Strains.” Scientific Reports. Springer Nature, 2021.
https://doi.org/10.1038/s41598-021-95025-3.
ieee: S. Rella, Y. A. Kulikova, E. T. Dermitzakis, and F. Kondrashov, “Rates of
SARS-CoV-2 transmission and vaccination impact the fate of vaccine-resistant strains,”
Scientific Reports, vol. 11, no. 1. Springer Nature, 2021.
ista: Rella S, Kulikova YA, Dermitzakis ET, Kondrashov F. 2021. Rates of SARS-CoV-2
transmission and vaccination impact the fate of vaccine-resistant strains. Scientific
Reports. 11(1), 15729.
mla: Rella, Simon, et al. “Rates of SARS-CoV-2 Transmission and Vaccination Impact
the Fate of Vaccine-Resistant Strains.” Scientific Reports, vol. 11, no.
1, 15729, Springer Nature, 2021, doi:10.1038/s41598-021-95025-3.
short: S. Rella, Y.A. Kulikova, E.T. Dermitzakis, F. Kondrashov, Scientific Reports
11 (2021).
date_created: 2021-08-15T22:01:26Z
date_published: 2021-07-30T00:00:00Z
date_updated: 2023-08-11T10:42:58Z
day: '30'
ddc:
- '570'
- '610'
department:
- _id: FyKo
doi: 10.1038/s41598-021-95025-3
ec_funded: 1
external_id:
isi:
- '000683329100001'
pmid:
- '34330988'
file:
- access_level: open_access
checksum: ac86892ed17e6724c7251844da5cef5c
content_type: application/pdf
creator: asandaue
date_created: 2021-08-16T11:36:49Z
date_updated: 2021-08-16T11:36:49Z
file_id: '9927'
file_name: 2021_ScientificReports_Rella.pdf
file_size: 3432001
relation: main_file
success: 1
file_date_updated: 2021-08-16T11:36:49Z
has_accepted_license: '1'
intvolume: ' 11'
isi: 1
issue: '1'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 26580278-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '771209'
name: Characterizing the fitness landscape on population and global scales
publication: Scientific Reports
publication_identifier:
eissn:
- '20452322'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- description: News on IST Website
relation: press_release
url: https://ist.ac.at/en/news/counterintuitive-dynamics-threaten-the-end-of-the-pandemic/
scopus_import: '1'
status: public
title: Rates of SARS-CoV-2 transmission and vaccination impact the fate of vaccine-resistant
strains
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 11
year: '2021'
...
---
_id: '9910'
abstract:
- lang: eng
text: Adult height inspired the first biometrical and quantitative genetic studies
and is a test-case trait for understanding heritability. The studies of height
led to formulation of the classical polygenic model, that has a profound influence
on the way we view and analyse complex traits. An essential part of the classical
model is an assumption of additivity of effects and normality of the distribution
of the residuals. However, it may be expected that the normal approximation will
become insufficient in bigger studies. Here, we demonstrate that when the height
of hundreds of thousands of individuals is analysed, the model complexity needs
to be increased to include non-additive interactions between sex, environment
and genes. Alternatively, the use of log-normal approximation allowed us to still
use the additive effects model. These findings are important for future genetic
and methodologic studies that make use of adult height as an exemplar trait.
acknowledgement: "We are grateful to Marianna Bevova and Pavel Borodin for fruitful
discussion and help with conceptualising our findings and to Lennart C. Karssen
for help with handling the UK Biobank data.\r\n\r\nFunding\r\nThis research has
been conducted using the UK Biobank Resource (project # 41601, “Non-additive effects
in control of complex human traits”). The work of SAS, IAK, and TIS were supported
by Russian Ministry of Science and Education under the 5–100 Excellence Programme.
The work of YSA and TIA was supported by the Ministry of Education and Science of
the RF via the Institute of Cytology and Genetics SB RAS (project number 0324-2019-0040-C-01/AAAA-A17-117092070032-4).
FAK is supported by the ERC Consolidator Grant (ChrFL: 771209)."
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Sergei A.
full_name: Slavskii, Sergei A.
last_name: Slavskii
- first_name: Ivan A.
full_name: Kuznetsov, Ivan A.
last_name: Kuznetsov
- first_name: Tatiana I.
full_name: Shashkova, Tatiana I.
last_name: Shashkova
- first_name: Georgii A.
full_name: Bazykin, Georgii A.
last_name: Bazykin
- first_name: Tatiana I.
full_name: Axenovich, Tatiana I.
last_name: Axenovich
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Yurii S.
full_name: Aulchenko, Yurii S.
last_name: Aulchenko
citation:
ama: Slavskii SA, Kuznetsov IA, Shashkova TI, et al. The limits of normal approximation
for adult height. European Journal of Human Genetics. 2021;29(7):1082-1091.
doi:10.1038/s41431-021-00836-7
apa: Slavskii, S. A., Kuznetsov, I. A., Shashkova, T. I., Bazykin, G. A., Axenovich,
T. I., Kondrashov, F., & Aulchenko, Y. S. (2021). The limits of normal approximation
for adult height. European Journal of Human Genetics. Springer Nature.
https://doi.org/10.1038/s41431-021-00836-7
chicago: Slavskii, Sergei A., Ivan A. Kuznetsov, Tatiana I. Shashkova, Georgii A.
Bazykin, Tatiana I. Axenovich, Fyodor Kondrashov, and Yurii S. Aulchenko. “The
Limits of Normal Approximation for Adult Height.” European Journal of Human
Genetics. Springer Nature, 2021. https://doi.org/10.1038/s41431-021-00836-7.
ieee: S. A. Slavskii et al., “The limits of normal approximation for adult
height,” European Journal of Human Genetics, vol. 29, no. 7. Springer Nature,
pp. 1082–1091, 2021.
ista: Slavskii SA, Kuznetsov IA, Shashkova TI, Bazykin GA, Axenovich TI, Kondrashov
F, Aulchenko YS. 2021. The limits of normal approximation for adult height. European
Journal of Human Genetics. 29(7), 1082–1091.
mla: Slavskii, Sergei A., et al. “The Limits of Normal Approximation for Adult Height.”
European Journal of Human Genetics, vol. 29, no. 7, Springer Nature, 2021,
pp. 1082–91, doi:10.1038/s41431-021-00836-7.
short: S.A. Slavskii, I.A. Kuznetsov, T.I. Shashkova, G.A. Bazykin, T.I. Axenovich,
F. Kondrashov, Y.S. Aulchenko, European Journal of Human Genetics 29 (2021) 1082–1091.
date_created: 2021-08-15T22:01:28Z
date_published: 2021-07-01T00:00:00Z
date_updated: 2023-08-11T10:33:42Z
day: '01'
ddc:
- '576'
department:
- _id: FyKo
doi: 10.1038/s41431-021-00836-7
ec_funded: 1
external_id:
isi:
- '000625853200001'
pmid:
- '33664501'
file:
- access_level: open_access
checksum: a676d76f91b0dbe0504c63e469129c2a
content_type: application/pdf
creator: asandaue
date_created: 2021-08-16T09:14:36Z
date_updated: 2021-08-16T09:14:36Z
file_id: '9921'
file_name: 2021_EuropeanJournalOfHumanGenetics_Slavskii.pdf
file_size: 1079395
relation: main_file
success: 1
file_date_updated: 2021-08-16T09:14:36Z
has_accepted_license: '1'
intvolume: ' 29'
isi: 1
issue: '7'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 1082-1091
pmid: 1
project:
- _id: 26580278-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '771209'
name: Characterizing the fitness landscape on population and global scales
publication: European Journal of Human Genetics
publication_identifier:
eissn:
- '14765438'
issn:
- '10184813'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: The limits of normal approximation for adult height
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 29
year: '2021'
...
---
_id: '7889'
abstract:
- lang: eng
text: Autoluminescent plants engineered to express a bacterial bioluminescence gene
cluster in plastids have not been widely adopted because of low light output.
We engineered tobacco plants with a fungal bioluminescence system that converts
caffeic acid (present in all plants) into luciferin and report self-sustained
luminescence that is visible to the naked eye. Our findings could underpin development
of a suite of imaging tools for plants.
acknowledgement: "This study was designed, performed and funded by Planta LLC. We
thank K. Wood for assisting in manuscript development. Planta acknowledges support
from the Skolkovo Innovation Centre. We thank D. Bolotin and the Milaboratory (milaboratory.com)
for access to computing and storage infrastructure. We thank S. Shakhov for providing\r\nphotography
equipment. The Synthetic Biology Group is funded by the MRC London Institute of
Medical Sciences (UKRI MC-A658-5QEA0, K.S.S.). K.S.S. is supported by an Imperial
College Research Fellowship. Experiments were partially carried out using equipment
provided by the Institute of Bioorganic Chemistry of the Russian Academy\r\nof Sciences
Сore Facility (CKP IBCH; supported by the Russian Ministry of Education and Science
Grant RFMEFI62117X0018). The F.A.K. lab is supported by ERC grant agreement 771209—CharFL.
This project received funding from the European Union’s Horizon 2020 Research and
Innovation Programme under Marie Skłodowska-Curie\r\nGrant Agreement 665385. K.S.S.
acknowledges support by President’s Grant 075-15-2019-411. Design and assembly of
some of the plasmids was supported by Russian Science Foundation grant 19-74-10102.
Imaging experiments were partially supported by Russian Science Foundation grant
17-14-01169p. LC-MS/MS analyses of extracts were\r\nsupported by Russian Science
Foundation grant 16-14-00052p. Design and assembly of plasmids was partially supported
by grant 075-15-2019-1789 from the Ministry of Science and Higher Education of the
Russian Federation allocated to the Center for Precision Genome Editing and Genetic
Technologies for Biomedicine. The authors\r\nwould like to acknowledge the work
of Genomics Core Facility of the Skolkovo Institute of Science and Technology, which
performed the sequencing and bioinformatic analysis."
article_processing_charge: No
article_type: original
author:
- first_name: Tatiana
full_name: Mitiouchkina, Tatiana
last_name: Mitiouchkina
- first_name: Alexander S.
full_name: Mishin, Alexander S.
last_name: Mishin
- first_name: Louisa
full_name: Gonzalez Somermeyer, Louisa
id: 4720D23C-F248-11E8-B48F-1D18A9856A87
last_name: Gonzalez Somermeyer
orcid: 0000-0001-9139-5383
- first_name: Nadezhda M.
full_name: Markina, Nadezhda M.
last_name: Markina
- first_name: Tatiana V.
full_name: Chepurnyh, Tatiana V.
last_name: Chepurnyh
- first_name: Elena B.
full_name: Guglya, Elena B.
last_name: Guglya
- first_name: Tatiana A.
full_name: Karataeva, Tatiana A.
last_name: Karataeva
- first_name: Kseniia A.
full_name: Palkina, Kseniia A.
last_name: Palkina
- first_name: Ekaterina S.
full_name: Shakhova, Ekaterina S.
last_name: Shakhova
- first_name: Liliia I.
full_name: Fakhranurova, Liliia I.
last_name: Fakhranurova
- first_name: Sofia V.
full_name: Chekova, Sofia V.
last_name: Chekova
- first_name: Aleksandra S.
full_name: Tsarkova, Aleksandra S.
last_name: Tsarkova
- first_name: Yaroslav V.
full_name: Golubev, Yaroslav V.
last_name: Golubev
- first_name: Vadim V.
full_name: Negrebetsky, Vadim V.
last_name: Negrebetsky
- first_name: Sergey A.
full_name: Dolgushin, Sergey A.
last_name: Dolgushin
- first_name: Pavel V.
full_name: Shalaev, Pavel V.
last_name: Shalaev
- first_name: Dmitry
full_name: Shlykov, Dmitry
last_name: Shlykov
- first_name: Olesya A.
full_name: Melnik, Olesya A.
last_name: Melnik
- first_name: Victoria O.
full_name: Shipunova, Victoria O.
last_name: Shipunova
- first_name: Sergey M.
full_name: Deyev, Sergey M.
last_name: Deyev
- first_name: Andrey I.
full_name: Bubyrev, Andrey I.
last_name: Bubyrev
- first_name: Alexander S.
full_name: Pushin, Alexander S.
last_name: Pushin
- first_name: Vladimir V.
full_name: Choob, Vladimir V.
last_name: Choob
- first_name: Sergey V.
full_name: Dolgov, Sergey V.
last_name: Dolgov
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Ilia V.
full_name: Yampolsky, Ilia V.
last_name: Yampolsky
- first_name: Karen S.
full_name: Sarkisyan, Karen S.
last_name: Sarkisyan
citation:
ama: Mitiouchkina T, Mishin AS, Gonzalez Somermeyer L, et al. Plants with genetically
encoded autoluminescence. Nature Biotechnology. 2020;38:944-946. doi:10.1038/s41587-020-0500-9
apa: Mitiouchkina, T., Mishin, A. S., Gonzalez Somermeyer, L., Markina, N. M., Chepurnyh,
T. V., Guglya, E. B., … Sarkisyan, K. S. (2020). Plants with genetically encoded
autoluminescence. Nature Biotechnology. Springer Nature. https://doi.org/10.1038/s41587-020-0500-9
chicago: Mitiouchkina, Tatiana, Alexander S. Mishin, Louisa Gonzalez Somermeyer,
Nadezhda M. Markina, Tatiana V. Chepurnyh, Elena B. Guglya, Tatiana A. Karataeva,
et al. “Plants with Genetically Encoded Autoluminescence.” Nature Biotechnology.
Springer Nature, 2020. https://doi.org/10.1038/s41587-020-0500-9.
ieee: T. Mitiouchkina et al., “Plants with genetically encoded autoluminescence,”
Nature Biotechnology, vol. 38. Springer Nature, pp. 944–946, 2020.
ista: Mitiouchkina T, Mishin AS, Gonzalez Somermeyer L, Markina NM, Chepurnyh TV,
Guglya EB, Karataeva TA, Palkina KA, Shakhova ES, Fakhranurova LI, Chekova SV,
Tsarkova AS, Golubev YV, Negrebetsky VV, Dolgushin SA, Shalaev PV, Shlykov D,
Melnik OA, Shipunova VO, Deyev SM, Bubyrev AI, Pushin AS, Choob VV, Dolgov SV,
Kondrashov F, Yampolsky IV, Sarkisyan KS. 2020. Plants with genetically encoded
autoluminescence. Nature Biotechnology. 38, 944–946.
mla: Mitiouchkina, Tatiana, et al. “Plants with Genetically Encoded Autoluminescence.”
Nature Biotechnology, vol. 38, Springer Nature, 2020, pp. 944–46, doi:10.1038/s41587-020-0500-9.
short: T. Mitiouchkina, A.S. Mishin, L. Gonzalez Somermeyer, N.M. Markina, T.V.
Chepurnyh, E.B. Guglya, T.A. Karataeva, K.A. Palkina, E.S. Shakhova, L.I. Fakhranurova,
S.V. Chekova, A.S. Tsarkova, Y.V. Golubev, V.V. Negrebetsky, S.A. Dolgushin, P.V.
Shalaev, D. Shlykov, O.A. Melnik, V.O. Shipunova, S.M. Deyev, A.I. Bubyrev, A.S.
Pushin, V.V. Choob, S.V. Dolgov, F. Kondrashov, I.V. Yampolsky, K.S. Sarkisyan,
Nature Biotechnology 38 (2020) 944–946.
date_created: 2020-05-25T15:02:00Z
date_published: 2020-04-27T00:00:00Z
date_updated: 2023-09-05T15:30:34Z
day: '27'
ddc:
- '570'
department:
- _id: FyKo
doi: 10.1038/s41587-020-0500-9
ec_funded: 1
external_id:
isi:
- '000529298800003'
pmid:
- '32341562'
file:
- access_level: open_access
checksum: 1b30467500ec6277229a875b06e196d0
content_type: application/pdf
creator: dernst
date_created: 2020-08-28T08:57:07Z
date_updated: 2021-03-02T23:30:03Z
embargo: 2021-03-01
file_id: '8316'
file_name: 2020_NatureBiotech_Mitiouchkina.pdf
file_size: 1180086
relation: main_file
file_date_updated: 2021-03-02T23:30:03Z
has_accepted_license: '1'
intvolume: ' 38'
isi: 1
language:
- iso: eng
month: '04'
oa: 1
oa_version: Submitted Version
page: 944-946
pmid: 1
project:
- _id: 26580278-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '771209'
name: Characterizing the fitness landscape on population and global scales
publication: Nature Biotechnology
publication_identifier:
eissn:
- 1546-1696
issn:
- 1087-0156
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: https://doi.org/10.1038/s41587-020-0578-0
scopus_import: '1'
status: public
title: Plants with genetically encoded autoluminescence
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 38
year: '2020'
...
---
_id: '7931'
abstract:
- lang: eng
text: In the course of sample preparation for Next Generation Sequencing (NGS),
DNA is fragmented by various methods. Fragmentation shows a persistent bias with
regard to the cleavage rates of various dinucleotides. With the exception of CpG
dinucleotides the previously described biases were consistent with results of
the DNA cleavage in solution. Here we computed cleavage rates of all dinucleotides
including the methylated CpG and unmethylated CpG dinucleotides using data of
the Whole Genome Sequencing datasets of the 1000 Genomes project. We found that
the cleavage rate of CpG is significantly higher for the methylated CpG dinucleotides.
Using this information, we developed a classifier for distinguishing cancer and
healthy tissues based on their CpG islands statuses of the fragmentation. A simple
Support Vector Machine classifier based on this algorithm shows an accuracy of
84%. The proposed method allows the detection of epigenetic markers purely based
on mechanochemical DNA fragmentation, which can be detected by a simple analysis
of the NGS sequencing data.
article_number: '8635'
article_processing_charge: No
article_type: original
author:
- first_name: Leonid A.
full_name: Uroshlev, Leonid A.
last_name: Uroshlev
- first_name: Eldar T.
full_name: Abdullaev, Eldar T.
last_name: Abdullaev
- first_name: Iren R.
full_name: Umarova, Iren R.
last_name: Umarova
- first_name: Irina A.
full_name: Il’Icheva, Irina A.
last_name: Il’Icheva
- first_name: Larisa A.
full_name: Panchenko, Larisa A.
last_name: Panchenko
- first_name: Robert V.
full_name: Polozov, Robert V.
last_name: Polozov
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Yury D.
full_name: Nechipurenko, Yury D.
last_name: Nechipurenko
- first_name: Sergei L.
full_name: Grokhovsky, Sergei L.
last_name: Grokhovsky
citation:
ama: Uroshlev LA, Abdullaev ET, Umarova IR, et al. A method for identification of
the methylation level of CpG islands from NGS data. Scientific Reports.
2020;10. doi:10.1038/s41598-020-65406-1
apa: Uroshlev, L. A., Abdullaev, E. T., Umarova, I. R., Il’Icheva, I. A., Panchenko,
L. A., Polozov, R. V., … Grokhovsky, S. L. (2020). A method for identification
of the methylation level of CpG islands from NGS data. Scientific Reports.
Springer Nature. https://doi.org/10.1038/s41598-020-65406-1
chicago: Uroshlev, Leonid A., Eldar T. Abdullaev, Iren R. Umarova, Irina A. Il’Icheva,
Larisa A. Panchenko, Robert V. Polozov, Fyodor Kondrashov, Yury D. Nechipurenko,
and Sergei L. Grokhovsky. “A Method for Identification of the Methylation Level
of CpG Islands from NGS Data.” Scientific Reports. Springer Nature, 2020.
https://doi.org/10.1038/s41598-020-65406-1.
ieee: L. A. Uroshlev et al., “A method for identification of the methylation
level of CpG islands from NGS data,” Scientific Reports, vol. 10. Springer
Nature, 2020.
ista: Uroshlev LA, Abdullaev ET, Umarova IR, Il’Icheva IA, Panchenko LA, Polozov
RV, Kondrashov F, Nechipurenko YD, Grokhovsky SL. 2020. A method for identification
of the methylation level of CpG islands from NGS data. Scientific Reports. 10,
8635.
mla: Uroshlev, Leonid A., et al. “A Method for Identification of the Methylation
Level of CpG Islands from NGS Data.” Scientific Reports, vol. 10, 8635,
Springer Nature, 2020, doi:10.1038/s41598-020-65406-1.
short: L.A. Uroshlev, E.T. Abdullaev, I.R. Umarova, I.A. Il’Icheva, L.A. Panchenko,
R.V. Polozov, F. Kondrashov, Y.D. Nechipurenko, S.L. Grokhovsky, Scientific Reports
10 (2020).
date_created: 2020-06-07T22:00:51Z
date_published: 2020-05-25T00:00:00Z
date_updated: 2023-08-21T07:00:17Z
day: '25'
ddc:
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department:
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doi: 10.1038/s41598-020-65406-1
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isi:
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publication_identifier:
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publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: A method for identification of the methylation level of CpG islands from NGS
data
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 10
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...
---
_id: '8320'
abstract:
- lang: eng
text: The genetic code is considered to use five nucleic bases (adenine, guanine,
cytosine, thymine and uracil), which form two pairs for encoding information in
DNA and two pairs for encoding information in RNA. Nevertheless, in recent years
several artificial base pairs have been developed in attempts to expand the genetic
code. Employment of these additional base pairs increases the information capacity
and variety of DNA sequences, and provides a platform for the site-specific, enzymatic
incorporation of extra functional components into DNA and RNA. As a result, of
the development of such expanded systems, many artificial base pairs have been
synthesized and tested under various conditions. Following many stages of enhancement,
unnatural base pairs have been modified to eliminate their weak points, qualifying
them for specific research needs. Moreover, the first attempts to create a semi-synthetic
organism containing DNA with unnatural base pairs seem to have been successful.
This further extends the possible applications of these kinds of pairs. Herein,
we describe the most significant qualities of unnatural base pairs and their actual
applications.
acknowledgement: We would like to thank our co-workers and members of the Alkalaeva
lab for participating in discussions about the topics covered in this essay.
article_processing_charge: No
article_type: original
author:
- first_name: S. A.
full_name: Mukba, S. A.
last_name: Mukba
- first_name: Petr
full_name: Vlasov, Petr
id: 38BB9AC4-F248-11E8-B48F-1D18A9856A87
last_name: Vlasov
- first_name: P. M.
full_name: Kolosov, P. M.
last_name: Kolosov
- first_name: E. Y.
full_name: Shuvalova, E. Y.
last_name: Shuvalova
- first_name: T. V.
full_name: Egorova, T. V.
last_name: Egorova
- first_name: E. Z.
full_name: Alkalaeva, E. Z.
last_name: Alkalaeva
citation:
ama: 'Mukba SA, Vlasov P, Kolosov PM, Shuvalova EY, Egorova TV, Alkalaeva EZ. Expanding
the genetic code: Unnatural base pairs in biological systems. Molecular Biology.
2020;54(4):475-484. doi:10.1134/S0026893320040111'
apa: 'Mukba, S. A., Vlasov, P., Kolosov, P. M., Shuvalova, E. Y., Egorova, T. V.,
& Alkalaeva, E. Z. (2020). Expanding the genetic code: Unnatural base pairs
in biological systems. Molecular Biology. Springer Nature. https://doi.org/10.1134/S0026893320040111'
chicago: 'Mukba, S. A., Petr Vlasov, P. M. Kolosov, E. Y. Shuvalova, T. V. Egorova,
and E. Z. Alkalaeva. “Expanding the Genetic Code: Unnatural Base Pairs in Biological
Systems.” Molecular Biology. Springer Nature, 2020. https://doi.org/10.1134/S0026893320040111.'
ieee: 'S. A. Mukba, P. Vlasov, P. M. Kolosov, E. Y. Shuvalova, T. V. Egorova, and
E. Z. Alkalaeva, “Expanding the genetic code: Unnatural base pairs in biological
systems,” Molecular Biology, vol. 54, no. 4. Springer Nature, pp. 475–484,
2020.'
ista: 'Mukba SA, Vlasov P, Kolosov PM, Shuvalova EY, Egorova TV, Alkalaeva EZ. 2020.
Expanding the genetic code: Unnatural base pairs in biological systems. Molecular
Biology. 54(4), 475–484.'
mla: 'Mukba, S. A., et al. “Expanding the Genetic Code: Unnatural Base Pairs in
Biological Systems.” Molecular Biology, vol. 54, no. 4, Springer Nature,
2020, pp. 475–84, doi:10.1134/S0026893320040111.'
short: S.A. Mukba, P. Vlasov, P.M. Kolosov, E.Y. Shuvalova, T.V. Egorova, E.Z. Alkalaeva,
Molecular Biology 54 (2020) 475–484.
date_created: 2020-08-30T22:01:11Z
date_published: 2020-08-19T00:00:00Z
date_updated: 2023-08-22T09:01:03Z
day: '19'
department:
- _id: FyKo
doi: 10.1134/S0026893320040111
external_id:
isi:
- '000562110300001'
intvolume: ' 54'
isi: 1
issue: '4'
language:
- iso: eng
month: '08'
oa_version: None
page: 475-484
publication: Molecular Biology
publication_identifier:
eissn:
- '16083245'
issn:
- '00268933'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
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relation: original
status: public
scopus_import: '1'
status: public
title: 'Expanding the genetic code: Unnatural base pairs in biological systems'
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 54
year: '2020'
...
---
_id: '8321'
abstract:
- lang: eng
text: The genetic code is considered to use five nucleic bases (adenine, guanine,
cytosine, thymine and uracil), which form two pairs for encoding information in
DNA and two pairs for encoding information in RNA. Nevertheless, in recent years
several artificial base pairs have been developed in attempts to expand the genetic
code. Employment of these additional base pairs increases the information capacity
and variety of DNA sequences, and provides a platform for the site-specific, enzymatic
incorporation of extra functional components into DNA and RNA. As a result, of
the development of such expanded systems, many artificial base pairs have been
synthesized and tested under various conditions. Following many stages of enhancement,
unnatural base pairs have been modified to eliminate their weak points, qualifying
them for specific research needs. Moreover, the first attempts to create a semi-synthetic
organism containing DNA with unnatural base pairs seem to have been successful.
This further extends the possible applications of these kinds of pairs. Herein,
we describe the most significant qualities of unnatural base pairs and their actual
applications.
article_processing_charge: No
article_type: original
author:
- first_name: S. A.
full_name: Mukba, S. A.
last_name: Mukba
- first_name: Petr
full_name: Vlasov, Petr
id: 38BB9AC4-F248-11E8-B48F-1D18A9856A87
last_name: Vlasov
- first_name: P. M.
full_name: Kolosov, P. M.
last_name: Kolosov
- first_name: E. Y.
full_name: Shuvalova, E. Y.
last_name: Shuvalova
- first_name: T. V.
full_name: Egorova, T. V.
last_name: Egorova
- first_name: E. Z.
full_name: Alkalaeva, E. Z.
last_name: Alkalaeva
citation:
ama: 'Mukba SA, Vlasov P, Kolosov PM, Shuvalova EY, Egorova TV, Alkalaeva EZ. Expanding
the genetic code: Unnatural base pairs in biological systems. Molekuliarnaia
biologiia. 2020;54(4):531-541. doi:10.31857/S0026898420040126'
apa: 'Mukba, S. A., Vlasov, P., Kolosov, P. M., Shuvalova, E. Y., Egorova, T. V.,
& Alkalaeva, E. Z. (2020). Expanding the genetic code: Unnatural base pairs
in biological systems. Molekuliarnaia biologiia. Russian Academy of Sciences.
https://doi.org/10.31857/S0026898420040126'
chicago: 'Mukba, S. A., Petr Vlasov, P. M. Kolosov, E. Y. Shuvalova, T. V. Egorova,
and E. Z. Alkalaeva. “Expanding the genetic code: Unnatural base pairs in biological
systems.” Molekuliarnaia biologiia. Russian Academy of Sciences, 2020.
https://doi.org/10.31857/S0026898420040126.'
ieee: 'S. A. Mukba, P. Vlasov, P. M. Kolosov, E. Y. Shuvalova, T. V. Egorova, and
E. Z. Alkalaeva, “Expanding the genetic code: Unnatural base pairs in biological
systems,” Molekuliarnaia biologiia, vol. 54, no. 4. Russian Academy of
Sciences, pp. 531–541, 2020.'
ista: 'Mukba SA, Vlasov P, Kolosov PM, Shuvalova EY, Egorova TV, Alkalaeva EZ. 2020.
Expanding the genetic code: Unnatural base pairs in biological systems. Molekuliarnaia
biologiia. 54(4), 531–541.'
mla: 'Mukba, S. A., et al. “Expanding the genetic code: Unnatural base pairs in
biological systems.” Molekuliarnaia biologiia, vol. 54, no. 4, Russian
Academy of Sciences, 2020, pp. 531–41, doi:10.31857/S0026898420040126.'
short: S.A. Mukba, P. Vlasov, P.M. Kolosov, E.Y. Shuvalova, T.V. Egorova, E.Z. Alkalaeva,
Molekuliarnaia biologiia 54 (2020) 531–541.
date_created: 2020-08-30T22:01:11Z
date_published: 2020-07-01T00:00:00Z
date_updated: 2023-08-22T09:01:02Z
day: '01'
department:
- _id: FyKo
doi: 10.31857/S0026898420040126
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issue: '4'
language:
- iso: rus
month: '07'
oa_version: None
page: 531-541
pmid: 1
publication: Molekuliarnaia biologiia
publication_identifier:
issn:
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publication_status: published
publisher: Russian Academy of Sciences
quality_controlled: '1'
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scopus_import: '1'
status: public
title: 'Expanding the genetic code: Unnatural base pairs in biological systems'
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...