---
_id: '14862'
article_number: ckad160.597
article_processing_charge: No
author:
- first_name: Simon
full_name: Rella, Simon
id: B4765ACA-AA38-11E9-AC9A-0930E6697425
last_name: Rella
- first_name: Y
full_name: Kulikova, Y
last_name: Kulikova
- first_name: Aygul
full_name: Minnegalieva, Aygul
id: 87DF77F0-1D9A-11EA-B6AE-CE443DDC885E
last_name: Minnegalieva
- 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 Y, Minnegalieva A, Kondrashov F. Complex vaccination strategies
prevent the emergence of vaccine resistance. In: European Journal of Public
Health. Vol 33. Oxford University Press; 2023. doi:10.1093/eurpub/ckad160.597'
apa: Rella, S., Kulikova, Y., Minnegalieva, A., & Kondrashov, F. (2023). Complex
vaccination strategies prevent the emergence of vaccine resistance. In European
Journal of Public Health (Vol. 33). Oxford University Press. https://doi.org/10.1093/eurpub/ckad160.597
chicago: Rella, Simon, Y Kulikova, Aygul Minnegalieva, and Fyodor Kondrashov. “Complex
Vaccination Strategies Prevent the Emergence of Vaccine Resistance.” In European
Journal of Public Health, Vol. 33. Oxford University Press, 2023. https://doi.org/10.1093/eurpub/ckad160.597.
ieee: S. Rella, Y. Kulikova, A. Minnegalieva, and F. Kondrashov, “Complex vaccination
strategies prevent the emergence of vaccine resistance,” in European Journal
of Public Health, 2023, vol. 33, no. Supplement_2.
ista: Rella S, Kulikova Y, Minnegalieva A, Kondrashov F. 2023. Complex vaccination
strategies prevent the emergence of vaccine resistance. European Journal of Public
Health. vol. 33, ckad160.597.
mla: Rella, Simon, et al. “Complex Vaccination Strategies Prevent the Emergence
of Vaccine Resistance.” European Journal of Public Health, vol. 33, no.
Supplement_2, ckad160.597, Oxford University Press, 2023, doi:10.1093/eurpub/ckad160.597.
short: S. Rella, Y. Kulikova, A. Minnegalieva, F. Kondrashov, in:, European Journal
of Public Health, Oxford University Press, 2023.
date_created: 2024-01-22T12:02:28Z
date_published: 2023-10-01T00:00:00Z
date_updated: 2024-01-24T11:16:09Z
day: '01'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1093/eurpub/ckad160.597
file:
- access_level: open_access
checksum: 98706755bb4cc5d553818ade7660a7d2
content_type: application/pdf
creator: dernst
date_created: 2024-01-24T11:12:33Z
date_updated: 2024-01-24T11:12:33Z
file_id: '14882'
file_name: 2023_EurJourPublicHealth_Rella.pdf
file_size: 71057
relation: main_file
success: 1
file_date_updated: 2024-01-24T11:12:33Z
has_accepted_license: '1'
intvolume: ' 33'
issue: Supplement_2
keyword:
- Public Health
- Environmental and Occupational Health
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '10'
oa: 1
oa_version: Published Version
publication: European Journal of Public Health
publication_identifier:
eissn:
- 1464-360X
issn:
- 1101-1262
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
status: public
title: Complex vaccination strategies prevent the emergence of vaccine resistance
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: conference_abstract
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 33
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
license: https://creativecommons.org/licenses/by/4.0/
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: '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: '11447'
abstract:
- lang: eng
text: Empirical essays of fitness landscapes suggest that they may be rugged, that
is having multiple fitness peaks. Such fitness landscapes, those that have multiple
peaks, necessarily have special local structures, called reciprocal sign epistasis
(Poelwijk et al. in J Theor Biol 272:141–144, 2011). Here, we investigate the
quantitative relationship between the number of fitness peaks and the number of
reciprocal sign epistatic interactions. Previously, it has been shown (Poelwijk
et al. in J Theor Biol 272:141–144, 2011) that pairwise reciprocal sign epistasis
is a necessary but not sufficient condition for the existence of multiple peaks.
Applying discrete Morse theory, which to our knowledge has never been used in
this context, we extend this result by giving the minimal number of reciprocal
sign epistatic interactions required to create a given number of peaks.
acknowledgement: We are grateful to Herbert Edelsbrunner and Jeferson Zapata for helpful
discussions. Open access funding provided by Austrian Science Fund (FWF). Partially
supported by the ERC Consolidator (771209–CharFL) and the FWF Austrian Science Fund
(I5127-B) grants to FAK.
article_number: '74'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Raimundo J
full_name: Saona Urmeneta, Raimundo J
id: BD1DF4C4-D767-11E9-B658-BC13E6697425
last_name: Saona Urmeneta
orcid: 0000-0001-5103-038X
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Kseniia
full_name: Khudiakova, Kseniia
id: 4E6DC800-AE37-11E9-AC72-31CAE5697425
last_name: Khudiakova
orcid: 0000-0002-6246-1465
citation:
ama: Saona Urmeneta RJ, Kondrashov F, Khudiakova K. Relation between the number
of peaks and the number of reciprocal sign epistatic interactions. Bulletin
of Mathematical Biology. 2022;84(8). doi:10.1007/s11538-022-01029-z
apa: Saona Urmeneta, R. J., Kondrashov, F., & Khudiakova, K. (2022). Relation
between the number of peaks and the number of reciprocal sign epistatic interactions.
Bulletin of Mathematical Biology. Springer Nature. https://doi.org/10.1007/s11538-022-01029-z
chicago: Saona Urmeneta, Raimundo J, Fyodor Kondrashov, and Kseniia Khudiakova.
“Relation between the Number of Peaks and the Number of Reciprocal Sign Epistatic
Interactions.” Bulletin of Mathematical Biology. Springer Nature, 2022.
https://doi.org/10.1007/s11538-022-01029-z.
ieee: R. J. Saona Urmeneta, F. Kondrashov, and K. Khudiakova, “Relation between
the number of peaks and the number of reciprocal sign epistatic interactions,”
Bulletin of Mathematical Biology, vol. 84, no. 8. Springer Nature, 2022.
ista: Saona Urmeneta RJ, Kondrashov F, Khudiakova K. 2022. Relation between the
number of peaks and the number of reciprocal sign epistatic interactions. Bulletin
of Mathematical Biology. 84(8), 74.
mla: Saona Urmeneta, Raimundo J., et al. “Relation between the Number of Peaks and
the Number of Reciprocal Sign Epistatic Interactions.” Bulletin of Mathematical
Biology, vol. 84, no. 8, 74, Springer Nature, 2022, doi:10.1007/s11538-022-01029-z.
short: R.J. Saona Urmeneta, F. Kondrashov, K. Khudiakova, Bulletin of Mathematical
Biology 84 (2022).
date_created: 2022-06-17T16:16:15Z
date_published: 2022-06-17T00:00:00Z
date_updated: 2023-08-03T07:20:53Z
day: '17'
ddc:
- '510'
- '570'
department:
- _id: GradSch
- _id: NiBa
- _id: JaMa
doi: 10.1007/s11538-022-01029-z
ec_funded: 1
external_id:
isi:
- '000812509800001'
file:
- access_level: open_access
checksum: 05a1fe7d10914a00c2bca9b447993a65
content_type: application/pdf
creator: dernst
date_created: 2022-06-20T07:51:32Z
date_updated: 2022-06-20T07:51:32Z
file_id: '11455'
file_name: 2022_BulletinMathBiology_Saona.pdf
file_size: 463025
relation: main_file
success: 1
file_date_updated: 2022-06-20T07:51:32Z
has_accepted_license: '1'
intvolume: ' 84'
isi: 1
issue: '8'
keyword:
- Computational Theory and Mathematics
- General Agricultural and Biological Sciences
- Pharmacology
- General Environmental Science
- General Biochemistry
- Genetics and Molecular Biology
- General Mathematics
- Immunology
- General Neuroscience
language:
- iso: eng
month: '06'
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: c098eddd-5a5b-11eb-8a69-abe27170a68f
grant_number: I05127
name: Evolutionary analysis of gene regulation
publication: Bulletin of Mathematical Biology
publication_identifier:
eissn:
- 1522-9602
issn:
- 0092-8240
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: https://doi.org/10.1007/s11538-022-01118-z
scopus_import: '1'
status: public
title: Relation between the number of peaks and the number of reciprocal sign epistatic
interactions
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: 84
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: '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: '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:
- '570'
department:
- _id: FyKo
doi: 10.1038/s41598-020-65406-1
external_id:
isi:
- '000560774200007'
file:
- access_level: open_access
checksum: 099e51611a5b7ca04244d03b2faddf33
content_type: application/pdf
creator: dernst
date_created: 2020-06-08T06:27:32Z
date_updated: 2020-07-14T12:48:05Z
file_id: '7947'
file_name: 2020_ScientificReports_Uroshlev.pdf
file_size: 1001724
relation: main_file
file_date_updated: 2020-07-14T12:48:05Z
has_accepted_license: '1'
intvolume: ' 10'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
publication: Scientific Reports
publication_identifier:
eissn:
- '20452322'
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
year: '2020'
...
---
_id: '8151'
abstract:
- lang: eng
text: The main idea behind the Core Project is to teach first year students at IST
scientific communication skills and let them practice by presenting their research
within an interdisciplinary environment. Over the course of the first semester,
students participated in seminars, where they shared their results with the colleagues
from other fields and took part in discussions on relevant subjects. The main
focus during this sessions was on delivering the information in a simplified and
comprehensible way, going into the very basics of a subject if necessary. At the
end, the students were asked to present their research in the written form to
exercise their writing skills. The reports were gathered in this document. All
of them were reviewed by the teaching assistants and write-ups illustrating unique
stylistic features and, in general, an outstanding level of writing skills, were
honorably mentioned in the section "Selected Reports".
article_processing_charge: No
author:
- first_name: Mikhail
full_name: Maslov, Mikhail
id: 2E65BB0E-F248-11E8-B48F-1D18A9856A87
last_name: Maslov
orcid: 0000-0003-4074-2570
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Christina
full_name: Artner, Christina
id: 45DF286A-F248-11E8-B48F-1D18A9856A87
last_name: Artner
- first_name: Mike
full_name: Hennessey-Wesen, Mike
id: 3F338C72-F248-11E8-B48F-1D18A9856A87
last_name: Hennessey-Wesen
- first_name: Bor
full_name: Kavcic, Bor
id: 350F91D2-F248-11E8-B48F-1D18A9856A87
last_name: Kavcic
orcid: 0000-0001-6041-254X
- first_name: Nick N
full_name: Machnik, Nick N
id: 3591A0AA-F248-11E8-B48F-1D18A9856A87
last_name: Machnik
- first_name: Roshan K
full_name: Satapathy, Roshan K
id: 46046B7A-F248-11E8-B48F-1D18A9856A87
last_name: Satapathy
- first_name: Isabella
full_name: Tomanek, Isabella
id: 3981F020-F248-11E8-B48F-1D18A9856A87
last_name: Tomanek
orcid: 0000-0001-6197-363X
citation:
ama: Maslov M, Kondrashov F, Artner C, et al. Core Project Proceedings. IST
Austria; 2020.
apa: Maslov, M., Kondrashov, F., Artner, C., Hennessey-Wesen, M., Kavcic, B., Machnik,
N. N., … Tomanek, I. (2020). Core Project Proceedings. IST Austria.
chicago: Maslov, Mikhail, Fyodor Kondrashov, Christina Artner, Mike Hennessey-Wesen,
Bor Kavcic, Nick N Machnik, Roshan K Satapathy, and Isabella Tomanek. Core
Project Proceedings. IST Austria, 2020.
ieee: M. Maslov et al., Core Project Proceedings. IST Austria, 2020.
ista: Maslov M, Kondrashov F, Artner C, Hennessey-Wesen M, Kavcic B, Machnik NN,
Satapathy RK, Tomanek I. 2020. Core Project Proceedings, IST Austria, 425p.
mla: Maslov, Mikhail, et al. Core Project Proceedings. IST Austria, 2020.
short: M. Maslov, F. Kondrashov, C. Artner, M. Hennessey-Wesen, B. Kavcic, N.N.
Machnik, R.K. Satapathy, I. Tomanek, Core Project Proceedings, IST Austria, 2020.
date_created: 2020-07-22T14:48:14Z
date_published: 2020-06-01T00:00:00Z
date_updated: 2023-02-23T13:26:00Z
day: '01'
ddc:
- '510'
- '530'
- '570'
extern: '1'
file:
- access_level: local
content_type: application/pdf
creator: dernst
date_created: 2020-07-22T14:45:07Z
date_updated: 2020-07-22T14:45:07Z
file_id: '8152'
file_name: Core_Project_Proceedings_mod.pdf
file_size: 169620437
relation: main_file
file_date_updated: 2020-07-22T14:45:07Z
has_accepted_license: '1'
language:
- iso: eng
month: '06'
oa_version: None
page: '425'
publication_status: published
publisher: IST Austria
status: public
title: Core Project Proceedings
type: report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '8645'
abstract:
- lang: eng
text: 'Epistasis, the context-dependence of the contribution of an amino acid substitution
to fitness, is common in evolution. To detect epistasis, fitness must be measured
for at least four genotypes: the reference genotype, two different single mutants
and a double mutant with both of the single mutations. For higher-order epistasis
of the order n, fitness has to be measured for all 2n genotypes of an n-dimensional
hypercube in genotype space forming a ‘combinatorially complete dataset’. So far,
only a handful of such datasets have been produced by manual curation. Concurrently,
random mutagenesis experiments have produced measurements of fitness and other
phenotypes in a high-throughput manner, potentially containing a number of combinatorially
complete datasets. We present an effective recursive algorithm for finding all
hypercube structures in random mutagenesis experimental data. To test the algorithm,
we applied it to the data from a recent HIS3 protein dataset and found all 199
847 053 unique combinatorially complete genotype combinations of dimensionality
ranging from 2 to 12. The algorithm may be useful for researchers looking for
higher-order epistasis in their high-throughput experimental data.'
acknowledgement: 'This work was supported by the European Research Council under the
European Union’s Seventh Framework Programme (FP7/2007-2013, ERC grant agreement
335980_EinME) and Startup package to the Ivankov laboratory at Skolkovo Institute
of Science and Technology. The work was started at the School of Molecular and Theoretical
Biology 2017 supported by the Zimin Foundation. N.S.B. was supported by the Woman
Scientists Support Grant in Centre for Genomic Regulation (CRG). '
article_processing_charge: No
article_type: original
author:
- first_name: Laura A
full_name: Esteban, Laura A
last_name: Esteban
- first_name: Lyubov R
full_name: Lonishin, Lyubov R
last_name: Lonishin
- first_name: Daniil M
full_name: Bobrovskiy, Daniil M
last_name: Bobrovskiy
- first_name: Gregory
full_name: Leleytner, Gregory
last_name: Leleytner
- first_name: Natalya S
full_name: Bogatyreva, Natalya S
last_name: Bogatyreva
- 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: 'Esteban LA, Lonishin LR, Bobrovskiy DM, et al. HypercubeME: Two hundred million
combinatorially complete datasets from a single experiment. Bioinformatics.
2020;36(6):1960-1962. doi:10.1093/bioinformatics/btz841'
apa: 'Esteban, L. A., Lonishin, L. R., Bobrovskiy, D. M., Leleytner, G., Bogatyreva,
N. S., Kondrashov, F., & Ivankov, D. N. (2020). HypercubeME: Two hundred million
combinatorially complete datasets from a single experiment. Bioinformatics.
Oxford Academic. https://doi.org/10.1093/bioinformatics/btz841'
chicago: 'Esteban, Laura A, Lyubov R Lonishin, Daniil M Bobrovskiy, Gregory Leleytner,
Natalya S Bogatyreva, Fyodor Kondrashov, and Dmitry N Ivankov. “HypercubeME:
Two Hundred Million Combinatorially Complete Datasets from a Single Experiment.”
Bioinformatics. Oxford Academic, 2020. https://doi.org/10.1093/bioinformatics/btz841.'
ieee: 'L. A. Esteban et al., “HypercubeME: Two hundred million combinatorially
complete datasets from a single experiment,” Bioinformatics, vol. 36, no.
6. Oxford Academic, pp. 1960–1962, 2020.'
ista: 'Esteban LA, Lonishin LR, Bobrovskiy DM, Leleytner G, Bogatyreva NS, Kondrashov
F, Ivankov DN. 2020. HypercubeME: Two hundred million combinatorially complete
datasets from a single experiment. Bioinformatics. 36(6), 1960–1962.'
mla: 'Esteban, Laura A., et al. “HypercubeME: Two Hundred Million Combinatorially
Complete Datasets from a Single Experiment.” Bioinformatics, vol. 36, no.
6, Oxford Academic, 2020, pp. 1960–62, doi:10.1093/bioinformatics/btz841.'
short: L.A. Esteban, L.R. Lonishin, D.M. Bobrovskiy, G. Leleytner, N.S. Bogatyreva,
F. Kondrashov, D.N. Ivankov, Bioinformatics 36 (2020) 1960–1962.
date_created: 2020-10-11T22:01:14Z
date_published: 2020-03-15T00:00:00Z
date_updated: 2023-08-22T09:57:29Z
day: '15'
ddc:
- '000'
- '570'
department:
- _id: FyKo
doi: 10.1093/bioinformatics/btz841
ec_funded: 1
external_id:
isi:
- '000538696800054'
pmid:
- '31742320'
file:
- access_level: open_access
checksum: 21d6f71839deb3b83e4a356193f72767
content_type: application/pdf
creator: dernst
date_created: 2020-10-12T12:02:09Z
date_updated: 2020-10-12T12:02:09Z
file_id: '8649'
file_name: 2020_Bioinformatics_Esteban.pdf
file_size: 308341
relation: main_file
success: 1
file_date_updated: 2020-10-12T12:02:09Z
has_accepted_license: '1'
intvolume: ' 36'
isi: 1
issue: '6'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 1960-1962
pmid: 1
project:
- _id: 26120F5C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '335980'
name: Systematic investigation of epistasis in molecular evolution
publication: Bioinformatics
publication_identifier:
eissn:
- 1460-2059
issn:
- 1367-4803
publication_status: published
publisher: Oxford Academic
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'HypercubeME: Two hundred million combinatorially complete datasets from a
single experiment'
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 36
year: '2020'
...
---
_id: '7181'
abstract:
- lang: eng
text: Multiple sequence alignments (MSAs) are used for structural1,2 and evolutionary
predictions1,2, but the complexity of aligning large datasets requires the use
of approximate solutions3, including the progressive algorithm4. Progressive MSA
methods start by aligning the most similar sequences and subsequently incorporate
the remaining sequences, from leaf-to-root, based on a guide-tree. Their accuracy
declines substantially as the number of sequences is scaled up5. We introduce
a regressive algorithm that enables MSA of up to 1.4 million sequences on a standard
workstation and substantially improves accuracy on datasets larger than 10,000
sequences. Our regressive algorithm works the other way around to the progressive
algorithm and begins by aligning the most dissimilar sequences. It uses an efficient
divide-and-conquer strategy to run third-party alignment methods in linear time,
regardless of their original complexity. Our approach will enable analyses of
extremely large genomic datasets such as the recently announced Earth BioGenome
Project, which comprises 1.5 million eukaryotic genomes6.
article_processing_charge: No
article_type: original
author:
- first_name: Edgar
full_name: Garriga, Edgar
last_name: Garriga
- first_name: Paolo
full_name: Di Tommaso, Paolo
last_name: Di Tommaso
- first_name: Cedrik
full_name: Magis, Cedrik
last_name: Magis
- first_name: Ionas
full_name: Erb, Ionas
last_name: Erb
- first_name: Leila
full_name: Mansouri, Leila
last_name: Mansouri
- first_name: Athanasios
full_name: Baltzis, Athanasios
last_name: Baltzis
- first_name: Hafid
full_name: Laayouni, Hafid
last_name: Laayouni
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Evan
full_name: Floden, Evan
last_name: Floden
- first_name: Cedric
full_name: Notredame, Cedric
last_name: Notredame
citation:
ama: Garriga E, Di Tommaso P, Magis C, et al. Large multiple sequence alignments
with a root-to-leaf regressive method. Nature Biotechnology. 2019;37(12):1466-1470.
doi:10.1038/s41587-019-0333-6
apa: Garriga, E., Di Tommaso, P., Magis, C., Erb, I., Mansouri, L., Baltzis, A.,
… Notredame, C. (2019). Large multiple sequence alignments with a root-to-leaf
regressive method. Nature Biotechnology. Springer Nature. https://doi.org/10.1038/s41587-019-0333-6
chicago: Garriga, Edgar, Paolo Di Tommaso, Cedrik Magis, Ionas Erb, Leila Mansouri,
Athanasios Baltzis, Hafid Laayouni, Fyodor Kondrashov, Evan Floden, and Cedric
Notredame. “Large Multiple Sequence Alignments with a Root-to-Leaf Regressive
Method.” Nature Biotechnology. Springer Nature, 2019. https://doi.org/10.1038/s41587-019-0333-6.
ieee: E. Garriga et al., “Large multiple sequence alignments with a root-to-leaf
regressive method,” Nature Biotechnology, vol. 37, no. 12. Springer Nature,
pp. 1466–1470, 2019.
ista: Garriga E, Di Tommaso P, Magis C, Erb I, Mansouri L, Baltzis A, Laayouni H,
Kondrashov F, Floden E, Notredame C. 2019. Large multiple sequence alignments
with a root-to-leaf regressive method. Nature Biotechnology. 37(12), 1466–1470.
mla: Garriga, Edgar, et al. “Large Multiple Sequence Alignments with a Root-to-Leaf
Regressive Method.” Nature Biotechnology, vol. 37, no. 12, Springer Nature,
2019, pp. 1466–70, doi:10.1038/s41587-019-0333-6.
short: E. Garriga, P. Di Tommaso, C. Magis, I. Erb, L. Mansouri, A. Baltzis, H.
Laayouni, F. Kondrashov, E. Floden, C. Notredame, Nature Biotechnology 37 (2019)
1466–1470.
date_created: 2019-12-15T23:00:43Z
date_published: 2019-12-01T00:00:00Z
date_updated: 2023-09-06T14:32:52Z
day: '01'
department:
- _id: FyKo
doi: 10.1038/s41587-019-0333-6
ec_funded: 1
external_id:
isi:
- '000500748900021'
pmid:
- '31792410'
intvolume: ' 37'
isi: 1
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894943/
month: '12'
oa: 1
oa_version: Submitted Version
page: 1466-1470
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:
- '15461696'
issn:
- '10870156'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '13059'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Large multiple sequence alignments with a root-to-leaf regressive method
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 37
year: '2019'
...
---
_id: '6419'
abstract:
- lang: eng
text: Characterizing the fitness landscape, a representation of fitness for a large
set of genotypes, is key to understanding how genetic information is interpreted
to create functional organisms. Here we determined the evolutionarily-relevant
segment of the fitness landscape of His3, a gene coding for an enzyme in the histidine
synthesis pathway, focusing on combinations of amino acid states found at orthologous
sites of extant species. Just 15% of amino acids found in yeast His3 orthologues
were always neutral while the impact on fitness of the remaining 85% depended
on the genetic background. Furthermore, at 67% of sites, amino acid replacements
were under sign epistasis, having both strongly positive and negative effect in
different genetic backgrounds. 46% of sites were under reciprocal sign epistasis.
The fitness impact of amino acid replacements was influenced by only a few genetic
backgrounds but involved interaction of multiple sites, shaping a rugged fitness
landscape in which many of the shortest paths between highly fit genotypes are
inaccessible.
article_number: e1008079
article_processing_charge: No
author:
- first_name: Victoria
full_name: Pokusaeva, Victoria
id: 3184041C-F248-11E8-B48F-1D18A9856A87
last_name: Pokusaeva
orcid: 0000-0001-7660-444X
- first_name: Dinara R.
full_name: Usmanova, Dinara R.
last_name: Usmanova
- first_name: Ekaterina V.
full_name: Putintseva, Ekaterina V.
last_name: Putintseva
- first_name: Lorena
full_name: Espinar, Lorena
last_name: Espinar
- first_name: Karen
full_name: Sarkisyan, Karen
id: 39A7BF80-F248-11E8-B48F-1D18A9856A87
last_name: Sarkisyan
orcid: 0000-0002-5375-6341
- first_name: Alexander S.
full_name: Mishin, Alexander S.
last_name: Mishin
- first_name: Natalya S.
full_name: Bogatyreva, Natalya S.
last_name: Bogatyreva
- first_name: Dmitry
full_name: Ivankov, Dmitry
id: 49FF1036-F248-11E8-B48F-1D18A9856A87
last_name: Ivankov
- first_name: Arseniy
full_name: Akopyan, Arseniy
id: 430D2C90-F248-11E8-B48F-1D18A9856A87
last_name: Akopyan
orcid: 0000-0002-2548-617X
- first_name: Sergey
full_name: Avvakumov, Sergey
id: 3827DAC8-F248-11E8-B48F-1D18A9856A87
last_name: Avvakumov
- first_name: Inna S.
full_name: Povolotskaya, Inna S.
last_name: Povolotskaya
- first_name: Guillaume J.
full_name: Filion, Guillaume J.
last_name: Filion
- first_name: Lucas B.
full_name: Carey, Lucas B.
last_name: Carey
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
citation:
ama: Pokusaeva V, Usmanova DR, Putintseva EV, et al. An experimental assay of the
interactions of amino acids from orthologous sequences shaping a complex fitness
landscape. PLoS Genetics. 2019;15(4). doi:10.1371/journal.pgen.1008079
apa: Pokusaeva, V., Usmanova, D. R., Putintseva, E. V., Espinar, L., Sarkisyan,
K., Mishin, A. S., … Kondrashov, F. (2019). An experimental assay of the interactions
of amino acids from orthologous sequences shaping a complex fitness landscape.
PLoS Genetics. Public Library of Science. https://doi.org/10.1371/journal.pgen.1008079
chicago: Pokusaeva, Victoria, Dinara R. Usmanova, Ekaterina V. Putintseva, Lorena
Espinar, Karen Sarkisyan, Alexander S. Mishin, Natalya S. Bogatyreva, et al. “An
Experimental Assay of the Interactions of Amino Acids from Orthologous Sequences
Shaping a Complex Fitness Landscape.” PLoS Genetics. Public Library of
Science, 2019. https://doi.org/10.1371/journal.pgen.1008079.
ieee: V. Pokusaeva et al., “An experimental assay of the interactions of
amino acids from orthologous sequences shaping a complex fitness landscape,” PLoS
Genetics, vol. 15, no. 4. Public Library of Science, 2019.
ista: Pokusaeva V, Usmanova DR, Putintseva EV, Espinar L, Sarkisyan K, Mishin AS,
Bogatyreva NS, Ivankov D, Akopyan A, Avvakumov S, Povolotskaya IS, Filion GJ,
Carey LB, Kondrashov F. 2019. An experimental assay of the interactions of amino
acids from orthologous sequences shaping a complex fitness landscape. PLoS Genetics.
15(4), e1008079.
mla: Pokusaeva, Victoria, et al. “An Experimental Assay of the Interactions of Amino
Acids from Orthologous Sequences Shaping a Complex Fitness Landscape.” PLoS
Genetics, vol. 15, no. 4, e1008079, Public Library of Science, 2019, doi:10.1371/journal.pgen.1008079.
short: V. Pokusaeva, D.R. Usmanova, E.V. Putintseva, L. Espinar, K. Sarkisyan, A.S.
Mishin, N.S. Bogatyreva, D. Ivankov, A. Akopyan, S. Avvakumov, I.S. Povolotskaya,
G.J. Filion, L.B. Carey, F. Kondrashov, PLoS Genetics 15 (2019).
date_created: 2019-05-13T07:58:38Z
date_published: 2019-04-10T00:00:00Z
date_updated: 2023-08-25T10:30:37Z
day: '10'
ddc:
- '570'
department:
- _id: FyKo
doi: 10.1371/journal.pgen.1008079
ec_funded: 1
external_id:
isi:
- '000466866000029'
file:
- access_level: open_access
checksum: cf3889c8a8a16053dacf9c3776cbe217
content_type: application/pdf
creator: dernst
date_created: 2019-05-14T08:26:08Z
date_updated: 2020-07-14T12:47:30Z
file_id: '6445'
file_name: 2019_PLOSGenetics_Pokusaeva.pdf
file_size: 3726017
relation: main_file
file_date_updated: 2020-07-14T12:47:30Z
has_accepted_license: '1'
intvolume: ' 15'
isi: 1
issue: '4'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: PLoS Genetics
publication_identifier:
eissn:
- '15537404'
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
related_material:
record:
- id: '9789'
relation: research_data
status: public
- id: '9790'
relation: research_data
status: public
- id: '9797'
relation: research_data
status: public
scopus_import: '1'
status: public
title: An experimental assay of the interactions of amino acids from orthologous sequences
shaping a complex fitness landscape
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: 15
year: '2019'
...
---
_id: '9789'
article_processing_charge: No
author:
- first_name: Victoria
full_name: Pokusaeva, Victoria
id: 3184041C-F248-11E8-B48F-1D18A9856A87
last_name: Pokusaeva
orcid: 0000-0001-7660-444X
- first_name: Dinara R.
full_name: Usmanova, Dinara R.
last_name: Usmanova
- first_name: Ekaterina V.
full_name: Putintseva, Ekaterina V.
last_name: Putintseva
- first_name: Lorena
full_name: Espinar, Lorena
last_name: Espinar
- first_name: Karen
full_name: Sarkisyan, Karen
id: 39A7BF80-F248-11E8-B48F-1D18A9856A87
last_name: Sarkisyan
orcid: 0000-0002-5375-6341
- first_name: Alexander S.
full_name: Mishin, Alexander S.
last_name: Mishin
- first_name: Natalya S.
full_name: Bogatyreva, Natalya S.
last_name: Bogatyreva
- first_name: Dmitry
full_name: Ivankov, Dmitry
id: 49FF1036-F248-11E8-B48F-1D18A9856A87
last_name: Ivankov
- first_name: Arseniy
full_name: Akopyan, Arseniy
id: 430D2C90-F248-11E8-B48F-1D18A9856A87
last_name: Akopyan
orcid: 0000-0002-2548-617X
- first_name: Sergey
full_name: Avvakumov, Sergey
id: 3827DAC8-F248-11E8-B48F-1D18A9856A87
last_name: Avvakumov
- first_name: Inna S.
full_name: Povolotskaya, Inna S.
last_name: Povolotskaya
- first_name: Guillaume J.
full_name: Filion, Guillaume J.
last_name: Filion
- first_name: Lucas B.
full_name: Carey, Lucas B.
last_name: Carey
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
citation:
ama: Pokusaeva V, Usmanova DR, Putintseva EV, et al. Multiple alignment of His3
orthologues. 2019. doi:10.1371/journal.pgen.1008079.s010
apa: Pokusaeva, V., Usmanova, D. R., Putintseva, E. V., Espinar, L., Sarkisyan,
K., Mishin, A. S., … Kondrashov, F. (2019). Multiple alignment of His3 orthologues.
Public Library of Science. https://doi.org/10.1371/journal.pgen.1008079.s010
chicago: Pokusaeva, Victoria, Dinara R. Usmanova, Ekaterina V. Putintseva, Lorena
Espinar, Karen Sarkisyan, Alexander S. Mishin, Natalya S. Bogatyreva, et al. “Multiple
Alignment of His3 Orthologues.” Public Library of Science, 2019. https://doi.org/10.1371/journal.pgen.1008079.s010.
ieee: V. Pokusaeva et al., “Multiple alignment of His3 orthologues.” Public
Library of Science, 2019.
ista: Pokusaeva V, Usmanova DR, Putintseva EV, Espinar L, Sarkisyan K, Mishin AS,
Bogatyreva NS, Ivankov D, Akopyan A, Avvakumov S, Povolotskaya IS, Filion GJ,
Carey LB, Kondrashov F. 2019. Multiple alignment of His3 orthologues, Public Library
of Science, 10.1371/journal.pgen.1008079.s010.
mla: Pokusaeva, Victoria, et al. Multiple Alignment of His3 Orthologues.
Public Library of Science, 2019, doi:10.1371/journal.pgen.1008079.s010.
short: V. Pokusaeva, D.R. Usmanova, E.V. Putintseva, L. Espinar, K. Sarkisyan, A.S.
Mishin, N.S. Bogatyreva, D. Ivankov, A. Akopyan, S. Avvakumov, I.S. Povolotskaya,
G.J. Filion, L.B. Carey, F. Kondrashov, (2019).
date_created: 2021-08-06T08:38:50Z
date_published: 2019-04-10T00:00:00Z
date_updated: 2023-08-25T10:30:36Z
day: '10'
department:
- _id: FyKo
doi: 10.1371/journal.pgen.1008079.s010
month: '04'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '6419'
relation: used_in_publication
status: public
status: public
title: Multiple alignment of His3 orthologues
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2019'
...
---
_id: '9790'
article_processing_charge: No
author:
- first_name: Victoria
full_name: Pokusaeva, Victoria
id: 3184041C-F248-11E8-B48F-1D18A9856A87
last_name: Pokusaeva
orcid: 0000-0001-7660-444X
- first_name: Dinara R.
full_name: Usmanova, Dinara R.
last_name: Usmanova
- first_name: Ekaterina V.
full_name: Putintseva, Ekaterina V.
last_name: Putintseva
- first_name: Lorena
full_name: Espinar, Lorena
last_name: Espinar
- first_name: Karen
full_name: Sarkisyan, Karen
id: 39A7BF80-F248-11E8-B48F-1D18A9856A87
last_name: Sarkisyan
orcid: 0000-0002-5375-6341
- first_name: Alexander S.
full_name: Mishin, Alexander S.
last_name: Mishin
- first_name: Natalya S.
full_name: Bogatyreva, Natalya S.
last_name: Bogatyreva
- first_name: Dmitry
full_name: Ivankov, Dmitry
id: 49FF1036-F248-11E8-B48F-1D18A9856A87
last_name: Ivankov
- first_name: Arseniy
full_name: Akopyan, Arseniy
id: 430D2C90-F248-11E8-B48F-1D18A9856A87
last_name: Akopyan
orcid: 0000-0002-2548-617X
- first_name: Sergey
full_name: Avvakumov, Sergey
id: 3827DAC8-F248-11E8-B48F-1D18A9856A87
last_name: Avvakumov
- first_name: Inna S.
full_name: Povolotskaya, Inna S.
last_name: Povolotskaya
- first_name: Guillaume J.
full_name: Filion, Guillaume J.
last_name: Filion
- first_name: Lucas B.
full_name: Carey, Lucas B.
last_name: Carey
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
citation:
ama: Pokusaeva V, Usmanova DR, Putintseva EV, et al. A statistical summary of segment
libraries and sequencing results. 2019. doi:10.1371/journal.pgen.1008079.s011
apa: Pokusaeva, V., Usmanova, D. R., Putintseva, E. V., Espinar, L., Sarkisyan,
K., Mishin, A. S., … Kondrashov, F. (2019). A statistical summary of segment libraries
and sequencing results. Public Library of Science. https://doi.org/10.1371/journal.pgen.1008079.s011
chicago: Pokusaeva, Victoria, Dinara R. Usmanova, Ekaterina V. Putintseva, Lorena
Espinar, Karen Sarkisyan, Alexander S. Mishin, Natalya S. Bogatyreva, et al. “A
Statistical Summary of Segment Libraries and Sequencing Results.” Public Library
of Science, 2019. https://doi.org/10.1371/journal.pgen.1008079.s011.
ieee: V. Pokusaeva et al., “A statistical summary of segment libraries and
sequencing results.” Public Library of Science, 2019.
ista: Pokusaeva V, Usmanova DR, Putintseva EV, Espinar L, Sarkisyan K, Mishin AS,
Bogatyreva NS, Ivankov D, Akopyan A, Avvakumov S, Povolotskaya IS, Filion GJ,
Carey LB, Kondrashov F. 2019. A statistical summary of segment libraries and sequencing
results, Public Library of Science, 10.1371/journal.pgen.1008079.s011.
mla: Pokusaeva, Victoria, et al. A Statistical Summary of Segment Libraries and
Sequencing Results. Public Library of Science, 2019, doi:10.1371/journal.pgen.1008079.s011.
short: V. Pokusaeva, D.R. Usmanova, E.V. Putintseva, L. Espinar, K. Sarkisyan, A.S.
Mishin, N.S. Bogatyreva, D. Ivankov, A. Akopyan, S. Avvakumov, I.S. Povolotskaya,
G.J. Filion, L.B. Carey, F. Kondrashov, (2019).
date_created: 2021-08-06T08:50:15Z
date_published: 2019-04-10T00:00:00Z
date_updated: 2023-08-25T10:30:36Z
day: '10'
department:
- _id: FyKo
doi: 10.1371/journal.pgen.1008079.s011
month: '04'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '6419'
relation: used_in_publication
status: public
status: public
title: A statistical summary of segment libraries and sequencing results
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2019'
...
---
_id: '9797'
article_processing_charge: No
author:
- first_name: Victoria
full_name: Pokusaeva, Victoria
id: 3184041C-F248-11E8-B48F-1D18A9856A87
last_name: Pokusaeva
orcid: 0000-0001-7660-444X
- first_name: Dinara R.
full_name: Usmanova, Dinara R.
last_name: Usmanova
- first_name: Ekaterina V.
full_name: Putintseva, Ekaterina V.
last_name: Putintseva
- first_name: Lorena
full_name: Espinar, Lorena
last_name: Espinar
- first_name: Karen
full_name: Sarkisyan, Karen
id: 39A7BF80-F248-11E8-B48F-1D18A9856A87
last_name: Sarkisyan
orcid: 0000-0002-5375-6341
- first_name: Alexander S.
full_name: Mishin, Alexander S.
last_name: Mishin
- first_name: Natalya S.
full_name: Bogatyreva, Natalya S.
last_name: Bogatyreva
- first_name: Dmitry
full_name: Ivankov, Dmitry
id: 49FF1036-F248-11E8-B48F-1D18A9856A87
last_name: Ivankov
- first_name: Arseniy
full_name: Akopyan, Arseniy
id: 430D2C90-F248-11E8-B48F-1D18A9856A87
last_name: Akopyan
orcid: 0000-0002-2548-617X
- first_name: Inna S.
full_name: Povolotskaya, Inna S.
last_name: Povolotskaya
- first_name: Guillaume J.
full_name: Filion, Guillaume J.
last_name: Filion
- first_name: Lucas B.
full_name: Carey, Lucas B.
last_name: Carey
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
citation:
ama: Pokusaeva V, Usmanova DR, Putintseva EV, et al. A statistical summary of segment
libraries and sequencing results. 2019. doi:10.1371/journal.pgen.1008079.s011
apa: Pokusaeva, V., Usmanova, D. R., Putintseva, E. V., Espinar, L., Sarkisyan,
K., Mishin, A. S., … Kondrashov, F. (2019). A statistical summary of segment libraries
and sequencing results. Public Library of Science. https://doi.org/10.1371/journal.pgen.1008079.s011
chicago: Pokusaeva, Victoria, Dinara R. Usmanova, Ekaterina V. Putintseva, Lorena
Espinar, Karen Sarkisyan, Alexander S. Mishin, Natalya S. Bogatyreva, et al. “A
Statistical Summary of Segment Libraries and Sequencing Results.” Public Library
of Science, 2019. https://doi.org/10.1371/journal.pgen.1008079.s011.
ieee: V. Pokusaeva et al., “A statistical summary of segment libraries and
sequencing results.” Public Library of Science, 2019.
ista: Pokusaeva V, Usmanova DR, Putintseva EV, Espinar L, Sarkisyan K, Mishin AS,
Bogatyreva NS, Ivankov D, Akopyan A, Povolotskaya IS, Filion GJ, Carey LB, Kondrashov
F. 2019. A statistical summary of segment libraries and sequencing results, Public
Library of Science, 10.1371/journal.pgen.1008079.s011.
mla: Pokusaeva, Victoria, et al. A Statistical Summary of Segment Libraries and
Sequencing Results. Public Library of Science, 2019, doi:10.1371/journal.pgen.1008079.s011.
short: V. Pokusaeva, D.R. Usmanova, E.V. Putintseva, L. Espinar, K. Sarkisyan, A.S.
Mishin, N.S. Bogatyreva, D. Ivankov, A. Akopyan, I.S. Povolotskaya, G.J. Filion,
L.B. Carey, F. Kondrashov, (2019).
date_created: 2021-08-06T11:08:20Z
date_published: 2019-04-10T00:00:00Z
date_updated: 2023-08-25T10:30:36Z
day: '10'
department:
- _id: FyKo
doi: 10.1371/journal.pgen.1008079.s011
month: '04'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '6419'
relation: used_in_publication
status: public
status: public
title: A statistical summary of segment libraries and sequencing results
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2019'
...