---
_id: '8644'
abstract:
- lang: eng
text: Determining the phase diagram of systems consisting of smaller subsystems
'connected' via a tunable coupling is a challenging task relevant for a variety
of physical settings. A general question is whether new phases, not present in
the uncoupled limit, may arise. We use machine learning and a suitable quasidistance
between different points of the phase diagram to study layered spin models, in
which the spin variables constituting each of the uncoupled systems (to which
we refer as layers) are coupled to each other via an interlayer coupling. In such
systems, in general, composite order parameters involving spins of different layers
may emerge as a consequence of the interlayer coupling. We focus on the layered
Ising and Ashkin–Teller models as a paradigmatic case study, determining their
phase diagram via the application of a machine learning algorithm to the Monte
Carlo data. Remarkably our technique is able to correctly characterize all the
system phases also in the case of hidden order parameters, i.e. order parameters
whose expression in terms of the microscopic configurations would require additional
preprocessing of the data fed to the algorithm. We correctly retrieve the three
known phases of the Ashkin–Teller model with ferromagnetic couplings, including
the phase described by a composite order parameter. For the bilayer and trilayer
Ising models the phases we find are only the ferromagnetic and the paramagnetic
ones. Within the approach we introduce, owing to the construction of convolutional
neural networks, naturally suitable for layered image-like data with arbitrary
number of layers, no preprocessing of the Monte Carlo data is needed, also with
regard to its spatial structure. The physical meaning of our results is discussed
and compared with analytical data, where available. Yet, the method can be used
without any a priori knowledge of the phases one seeks to find and can be applied
to other models and structures.
acknowledgement: We thank Gesualdo Delfino, Michele Fabrizio, Piero Ferrarese, Robert
Konik, Christoph Lampert and Mikhail Lemeshko for stimulating discussions at various
stages of this work. WR has received funding from the EU Horizon 2020 program under
the Marie Skłodowska-Curie Grant Agreement No. 665385 and is a recipient of a DOC
Fellowship of the Austrian Academy of Sciences. GB acknowledges support from the
Austrian Science Fund (FWF), under project No. M2641-N27. ND acknowledges support
by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) via Collaborative
Research Center SFB 1225 (ISOQUANT)--project-id 273811115--and under Germany's Excellence
Strategy 'EXC-2181/1-390900948' (the Heidelberg STRUCTURES Excellence Cluster).
article_number: '093026'
article_processing_charge: No
article_type: original
author:
- first_name: Wojciech
full_name: Rzadkowski, Wojciech
id: 48C55298-F248-11E8-B48F-1D18A9856A87
last_name: Rzadkowski
orcid: 0000-0002-1106-4419
- first_name: N
full_name: Defenu, N
last_name: Defenu
- first_name: S
full_name: Chiacchiera, S
last_name: Chiacchiera
- first_name: A
full_name: Trombettoni, A
last_name: Trombettoni
- first_name: Giacomo
full_name: Bighin, Giacomo
id: 4CA96FD4-F248-11E8-B48F-1D18A9856A87
last_name: Bighin
orcid: 0000-0001-8823-9777
citation:
ama: Rzadkowski W, Defenu N, Chiacchiera S, Trombettoni A, Bighin G. Detecting composite
orders in layered models via machine learning. New Journal of Physics.
2020;22(9). doi:10.1088/1367-2630/abae44
apa: Rzadkowski, W., Defenu, N., Chiacchiera, S., Trombettoni, A., & Bighin,
G. (2020). Detecting composite orders in layered models via machine learning.
New Journal of Physics. IOP Publishing. https://doi.org/10.1088/1367-2630/abae44
chicago: Rzadkowski, Wojciech, N Defenu, S Chiacchiera, A Trombettoni, and Giacomo
Bighin. “Detecting Composite Orders in Layered Models via Machine Learning.” New
Journal of Physics. IOP Publishing, 2020. https://doi.org/10.1088/1367-2630/abae44.
ieee: W. Rzadkowski, N. Defenu, S. Chiacchiera, A. Trombettoni, and G. Bighin, “Detecting
composite orders in layered models via machine learning,” New Journal of Physics,
vol. 22, no. 9. IOP Publishing, 2020.
ista: Rzadkowski W, Defenu N, Chiacchiera S, Trombettoni A, Bighin G. 2020. Detecting
composite orders in layered models via machine learning. New Journal of Physics.
22(9), 093026.
mla: Rzadkowski, Wojciech, et al. “Detecting Composite Orders in Layered Models
via Machine Learning.” New Journal of Physics, vol. 22, no. 9, 093026,
IOP Publishing, 2020, doi:10.1088/1367-2630/abae44.
short: W. Rzadkowski, N. Defenu, S. Chiacchiera, A. Trombettoni, G. Bighin, New
Journal of Physics 22 (2020).
date_created: 2020-10-11T22:01:14Z
date_published: 2020-09-01T00:00:00Z
date_updated: 2024-08-07T07:16:53Z
day: '01'
ddc:
- '530'
department:
- _id: MiLe
doi: 10.1088/1367-2630/abae44
ec_funded: 1
external_id:
isi:
- '000573298000001'
file:
- access_level: open_access
checksum: c9238fff422e7a957c3a0d559f756b3a
content_type: application/pdf
creator: dernst
date_created: 2020-10-12T12:18:47Z
date_updated: 2020-10-12T12:18:47Z
file_id: '8650'
file_name: 2020_NewJournalPhysics_Rzdkowski.pdf
file_size: 2725143
relation: main_file
success: 1
file_date_updated: 2020-10-12T12:18:47Z
has_accepted_license: '1'
intvolume: ' 22'
isi: 1
issue: '9'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 05A235A0-7A3F-11EA-A408-12923DDC885E
grant_number: '25681'
name: Analytic and machine learning approaches to composite quantum impurities
- _id: 26986C82-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: M02641
name: A path-integral approach to composite impurities
publication: New Journal of Physics
publication_identifier:
issn:
- '13672630'
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
related_material:
record:
- id: '10759'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Detecting composite orders in layered models via machine learning
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: 22
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
license: https://creativecommons.org/licenses/by-nc/4.0/
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: '8652'
abstract:
- lang: eng
text: Nature creates electrons with two values of the spin projection quantum number.
In certain applications, it is important to filter electrons with one spin projection
from the rest. Such filtering is not trivial, since spin-dependent interactions
are often weak, and cannot lead to any substantial effect. Here we propose an
efficient spin filter based upon scattering from a two-dimensional crystal, which
is made of aligned point magnets. The polarization of the outgoing electron flux
is controlled by the crystal, and reaches maximum at specific values of the parameters.
In our scheme, polarization increase is accompanied by higher reflectivity of
the crystal. High transmission is feasible in scattering from a quantum cavity
made of two crystals. Our findings can be used for studies of low-energy spin-dependent
scattering from two-dimensional ordered structures made of magnetic atoms or aligned
chiral molecules.
acknowledgement: "This work has received funding from the European Union’s Horizon
2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement
No. 754411 (A.G.V. and A.G.). M.L. acknowledges support by the Austrian Science
Fund (FWF), under project No. P29902-N27, and by the European Research Council (ERC)
Starting\r\nGrant No. 801770 (ANGULON)."
article_number: '178'
article_processing_charge: Yes
article_type: original
author:
- first_name: Areg
full_name: Ghazaryan, Areg
id: 4AF46FD6-F248-11E8-B48F-1D18A9856A87
last_name: Ghazaryan
orcid: 0000-0001-9666-3543
- first_name: Mikhail
full_name: Lemeshko, Mikhail
id: 37CB05FA-F248-11E8-B48F-1D18A9856A87
last_name: Lemeshko
orcid: 0000-0002-6990-7802
- first_name: Artem
full_name: Volosniev, Artem
id: 37D278BC-F248-11E8-B48F-1D18A9856A87
last_name: Volosniev
orcid: 0000-0003-0393-5525
citation:
ama: Ghazaryan A, Lemeshko M, Volosniev A. Filtering spins by scattering from a
lattice of point magnets. Communications Physics. 2020;3. doi:10.1038/s42005-020-00445-8
apa: Ghazaryan, A., Lemeshko, M., & Volosniev, A. (2020). Filtering spins by
scattering from a lattice of point magnets. Communications Physics. Springer
Nature. https://doi.org/10.1038/s42005-020-00445-8
chicago: Ghazaryan, Areg, Mikhail Lemeshko, and Artem Volosniev. “Filtering Spins
by Scattering from a Lattice of Point Magnets.” Communications Physics.
Springer Nature, 2020. https://doi.org/10.1038/s42005-020-00445-8.
ieee: A. Ghazaryan, M. Lemeshko, and A. Volosniev, “Filtering spins by scattering
from a lattice of point magnets,” Communications Physics, vol. 3. Springer
Nature, 2020.
ista: Ghazaryan A, Lemeshko M, Volosniev A. 2020. Filtering spins by scattering
from a lattice of point magnets. Communications Physics. 3, 178.
mla: Ghazaryan, Areg, et al. “Filtering Spins by Scattering from a Lattice of Point
Magnets.” Communications Physics, vol. 3, 178, Springer Nature, 2020, doi:10.1038/s42005-020-00445-8.
short: A. Ghazaryan, M. Lemeshko, A. Volosniev, Communications Physics 3 (2020).
date_created: 2020-10-13T09:48:59Z
date_published: 2020-10-09T00:00:00Z
date_updated: 2023-08-22T09:58:46Z
day: '09'
ddc:
- '530'
department:
- _id: MiLe
doi: 10.1038/s42005-020-00445-8
ec_funded: 1
external_id:
isi:
- '000581681000001'
file:
- access_level: open_access
checksum: 60cd35b99f0780acffc7b6060e49ec8b
content_type: application/pdf
creator: dernst
date_created: 2020-10-14T15:16:28Z
date_updated: 2020-10-14T15:16:28Z
file_id: '8662'
file_name: 2020_CommPhysics_Ghazaryan.pdf
file_size: 1462934
relation: main_file
success: 1
file_date_updated: 2020-10-14T15:16:28Z
has_accepted_license: '1'
intvolume: ' 3'
isi: 1
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
- _id: 26031614-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P29902
name: Quantum rotations in the presence of a many-body environment
- _id: 2688CF98-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '801770'
name: 'Angulon: physics and applications of a new quasiparticle'
publication: Communications Physics
publication_identifier:
issn:
- 2399-3650
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Filtering spins by scattering from a lattice of point magnets
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: 3
year: '2020'
...
---
_id: '8653'
abstract:
- lang: eng
text: "Mutations are the raw material of evolution and come in many different flavors.
Point mutations change a single letter in the DNA sequence, while copy number
mutations like duplications or deletions add or remove many letters of the DNA
sequence simultaneously. Each type of mutation exhibits specific properties like
its rate of formation and reversal. \r\nGene expression is a fundamental phenotype
that can be altered by both, point and copy number mutations. The following thesis
is concerned with the dynamics of gene expression evolution and how it is affected
by the properties exhibited by point and copy number mutations. Specifically,
we are considering i) copy number mutations during adaptation to fluctuating environments
and ii) the interaction of copy number and point mutations during adaptation to
constant environments. "
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Isabella
full_name: Tomanek, Isabella
id: 3981F020-F248-11E8-B48F-1D18A9856A87
last_name: Tomanek
orcid: 0000-0001-6197-363X
citation:
ama: Tomanek I. The evolution of gene expression by copy number and point mutations.
2020. doi:10.15479/AT:ISTA:8653
apa: Tomanek, I. (2020). The evolution of gene expression by copy number and
point mutations. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:8653
chicago: Tomanek, Isabella. “The Evolution of Gene Expression by Copy Number and
Point Mutations.” Institute of Science and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8653.
ieee: I. Tomanek, “The evolution of gene expression by copy number and point mutations,”
Institute of Science and Technology Austria, 2020.
ista: Tomanek I. 2020. The evolution of gene expression by copy number and point
mutations. Institute of Science and Technology Austria.
mla: Tomanek, Isabella. The Evolution of Gene Expression by Copy Number and Point
Mutations. Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8653.
short: I. Tomanek, The Evolution of Gene Expression by Copy Number and Point Mutations,
Institute of Science and Technology Austria, 2020.
date_created: 2020-10-13T13:02:33Z
date_published: 2020-10-13T00:00:00Z
date_updated: 2023-09-07T13:22:42Z
day: '13'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: CaGu
doi: 10.15479/AT:ISTA:8653
file:
- access_level: closed
checksum: c01d9f59794b4b70528f37637c17ad02
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: itomanek
date_created: 2020-10-16T12:14:21Z
date_updated: 2021-10-20T22:30:03Z
embargo_to: open_access
file_id: '8666'
file_name: Thesis_ITomanek_final_201016.docx
file_size: 25131884
relation: source_file
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checksum: f8edbc3b0f81a780e13ca1e561d42d8b
content_type: application/pdf
creator: itomanek
date_created: 2020-10-16T12:14:21Z
date_updated: 2021-10-20T22:30:03Z
embargo: 2021-10-19
file_id: '8667'
file_name: Thesis_ITomanek_final_201016.pdf
file_size: 15405675
relation: main_file
file_date_updated: 2021-10-20T22:30:03Z
has_accepted_license: '1'
keyword:
- duplication
- amplification
- promoter
- CNV
- AMGET
- experimental evolution
- Escherichia coli
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: '117'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '7652'
relation: research_data
status: public
status: public
supervisor:
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
title: The evolution of gene expression by copy number and point mutations
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2020'
...
---
_id: '8657'
abstract:
- lang: eng
text: "Synthesis of proteins – translation – is a fundamental process of life. Quantitative
studies anchor translation into the context of bacterial physiology and reveal
several mathematical relationships, called “growth laws,” which capture physiological
feedbacks between protein synthesis and cell growth. Growth laws describe the
dependency of the ribosome abundance as a function of growth rate, which can change
depending on the growth conditions. Perturbations of translation reveal that bacteria
employ a compensatory strategy in which the reduced translation capability results
in increased expression of the translation machinery.\r\nPerturbations of translation
are achieved in various ways; clinically interesting is the application of translation-targeting
antibiotics – translation inhibitors. The antibiotic effects on bacterial physiology
are often poorly understood. Bacterial responses to two or more simultaneously
applied antibiotics are even more puzzling. The combined antibiotic effect determines
the type of drug interaction, which ranges from synergy (the effect is stronger
than expected) to antagonism (the effect is weaker) and suppression (one of the
drugs loses its potency).\r\nIn the first part of this work, we systematically
measure the pairwise interaction network for translation inhibitors that interfere
with different steps in translation. We find that the interactions are surprisingly
diverse and tend to be more antagonistic. To explore the underlying mechanisms,
we begin with a minimal biophysical model of combined antibiotic action. We base
this model on the kinetics of antibiotic uptake and binding together with the
physiological response described by the growth laws. The biophysical model explains
some drug interactions, but not all; it specifically fails to predict suppression.\r\nIn
the second part of this work, we hypothesize that elusive suppressive drug interactions
result from the interplay between ribosomes halted in different stages of translation.
To elucidate this putative mechanism of drug interactions between translation
inhibitors, we generate translation bottlenecks genetically using in- ducible
control of translation factors that regulate well-defined translation cycle steps.
These perturbations accurately mimic antibiotic action and drug interactions,
supporting that the interplay of different translation bottlenecks partially causes
these interactions.\r\nWe extend this approach by varying two translation bottlenecks
simultaneously. This approach reveals the suppression of translocation inhibition
by inhibited translation. We rationalize this effect by modeling dense traffic
of ribosomes that move on transcripts in a translation factor-mediated manner.
This model predicts a dissolution of traffic jams caused by inhibited translocation
when the density of ribosome traffic is reduced by lowered initiation. We base
this model on the growth laws and quantitative relationships between different
translation and growth parameters.\r\nIn the final part of this work, we describe
a set of tools aimed at quantification of physiological and translation parameters.
We further develop a simple model that directly connects the abundance of a translation
factor with the growth rate, which allows us to extract physiological parameters
describing initiation. We demonstrate the development of tools for measuring translation
rate.\r\nThis thesis showcases how a combination of high-throughput growth rate
mea- surements, genetics, and modeling can reveal mechanisms of drug interactions.
Furthermore, by a gradual transition from combinations of antibiotics to precise
genetic interventions, we demonstrated the equivalency between genetic and chemi-
cal perturbations of translation. These findings tile the path for quantitative
studies of antibiotic combinations and illustrate future approaches towards the
quantitative description of translation."
acknowledged_ssus:
- _id: LifeSc
- _id: M-Shop
acknowledgement: I thank Life Science Facilities for their continuous support with
providing top-notch laboratory materials, keeping the devices humming, and coordinating
the repairs and building of custom-designed laboratory equipment with the MIBA Machine
shop.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Bor
full_name: Kavcic, Bor
id: 350F91D2-F248-11E8-B48F-1D18A9856A87
last_name: Kavcic
orcid: 0000-0001-6041-254X
citation:
ama: 'Kavcic B. Perturbations of protein synthesis: from antibiotics to genetics
and physiology. 2020. doi:10.15479/AT:ISTA:8657'
apa: 'Kavcic, B. (2020). Perturbations of protein synthesis: from antibiotics
to genetics and physiology. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:8657'
chicago: 'Kavcic, Bor. “Perturbations of Protein Synthesis: From Antibiotics to
Genetics and Physiology.” Institute of Science and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8657.'
ieee: 'B. Kavcic, “Perturbations of protein synthesis: from antibiotics to genetics
and physiology,” Institute of Science and Technology Austria, 2020.'
ista: 'Kavcic B. 2020. Perturbations of protein synthesis: from antibiotics to genetics
and physiology. Institute of Science and Technology Austria.'
mla: 'Kavcic, Bor. Perturbations of Protein Synthesis: From Antibiotics to Genetics
and Physiology. Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8657.'
short: 'B. Kavcic, Perturbations of Protein Synthesis: From Antibiotics to Genetics
and Physiology, Institute of Science and Technology Austria, 2020.'
date_created: 2020-10-13T16:46:14Z
date_published: 2020-10-14T00:00:00Z
date_updated: 2023-09-07T13:20:48Z
day: '14'
ddc:
- '571'
- '530'
- '570'
degree_awarded: PhD
department:
- _id: GaTk
doi: 10.15479/AT:ISTA:8657
file:
- access_level: open_access
checksum: d708ecd62b6fcc3bc1feb483b8dbe9eb
content_type: application/pdf
creator: bkavcic
date_created: 2020-10-15T06:41:20Z
date_updated: 2021-10-07T22:30:03Z
embargo: 2021-10-06
file_id: '8663'
file_name: kavcicB_thesis202009.pdf
file_size: 52636162
relation: main_file
- access_level: closed
checksum: bb35f2352a04db19164da609f00501f3
content_type: application/zip
creator: bkavcic
date_created: 2020-10-15T06:41:53Z
date_updated: 2021-10-07T22:30:03Z
embargo_to: open_access
file_id: '8664'
file_name: 2020b.zip
file_size: 321681247
relation: source_file
file_date_updated: 2021-10-07T22:30:03Z
has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: '271'
publication_identifier:
isbn:
- 978-3-99078-011-4
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '7673'
relation: part_of_dissertation
status: public
- id: '8250'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
- first_name: Mark Tobias
full_name: Bollenbach, Mark Tobias
id: 3E6DB97A-F248-11E8-B48F-1D18A9856A87
last_name: Bollenbach
orcid: 0000-0003-4398-476X
title: 'Perturbations of protein synthesis: from antibiotics to genetics and physiology'
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2020'
...
---
_id: '8669'
abstract:
- lang: eng
text: Pancreatic islets play an essential role in regulating blood glucose level.
Although the molecular pathways underlying islet cell differentiation are beginning
to be resolved, the cellular basis of islet morphogenesis and fate allocation
remain unclear. By combining unbiased and targeted lineage tracing, we address
the events leading to islet formation in the mouse. From the statistical analysis
of clones induced at multiple embryonic timepoints, here we show that, during
the secondary transition, islet formation involves the aggregation of multiple
equipotent endocrine progenitors that transition from a phase of stochastic amplification
by cell division into a phase of sublineage restriction and limited islet fission.
Together, these results explain quantitatively the heterogeneous size distribution
and degree of polyclonality of maturing islets, as well as dispersion of progenitors
within and between islets. Further, our results show that, during the secondary
transition, α- and β-cells are generated in a contemporary manner. Together, these
findings provide insight into the cellular basis of islet development.
article_number: '5037'
article_processing_charge: No
article_type: original
author:
- first_name: Magdalena K.
full_name: Sznurkowska, Magdalena K.
last_name: Sznurkowska
- first_name: Edouard B
full_name: Hannezo, Edouard B
id: 3A9DB764-F248-11E8-B48F-1D18A9856A87
last_name: Hannezo
orcid: 0000-0001-6005-1561
- first_name: Roberta
full_name: Azzarelli, Roberta
last_name: Azzarelli
- first_name: Lemonia
full_name: Chatzeli, Lemonia
last_name: Chatzeli
- first_name: Tatsuro
full_name: Ikeda, Tatsuro
last_name: Ikeda
- first_name: Shosei
full_name: Yoshida, Shosei
last_name: Yoshida
- first_name: Anna
full_name: Philpott, Anna
last_name: Philpott
- first_name: Benjamin D
full_name: Simons, Benjamin D
last_name: Simons
citation:
ama: Sznurkowska MK, Hannezo EB, Azzarelli R, et al. Tracing the cellular basis
of islet specification in mouse pancreas. Nature Communications. 2020;11.
doi:10.1038/s41467-020-18837-3
apa: Sznurkowska, M. K., Hannezo, E. B., Azzarelli, R., Chatzeli, L., Ikeda, T.,
Yoshida, S., … Simons, B. D. (2020). Tracing the cellular basis of islet specification
in mouse pancreas. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-020-18837-3
chicago: Sznurkowska, Magdalena K., Edouard B Hannezo, Roberta Azzarelli, Lemonia
Chatzeli, Tatsuro Ikeda, Shosei Yoshida, Anna Philpott, and Benjamin D Simons.
“Tracing the Cellular Basis of Islet Specification in Mouse Pancreas.” Nature
Communications. Springer Nature, 2020. https://doi.org/10.1038/s41467-020-18837-3.
ieee: M. K. Sznurkowska et al., “Tracing the cellular basis of islet specification
in mouse pancreas,” Nature Communications, vol. 11. Springer Nature, 2020.
ista: Sznurkowska MK, Hannezo EB, Azzarelli R, Chatzeli L, Ikeda T, Yoshida S, Philpott
A, Simons BD. 2020. Tracing the cellular basis of islet specification in mouse
pancreas. Nature Communications. 11, 5037.
mla: Sznurkowska, Magdalena K., et al. “Tracing the Cellular Basis of Islet Specification
in Mouse Pancreas.” Nature Communications, vol. 11, 5037, Springer Nature,
2020, doi:10.1038/s41467-020-18837-3.
short: M.K. Sznurkowska, E.B. Hannezo, R. Azzarelli, L. Chatzeli, T. Ikeda, S. Yoshida,
A. Philpott, B.D. Simons, Nature Communications 11 (2020).
date_created: 2020-10-18T22:01:35Z
date_published: 2020-10-07T00:00:00Z
date_updated: 2023-08-22T10:18:17Z
day: '07'
ddc:
- '570'
department:
- _id: EdHa
doi: 10.1038/s41467-020-18837-3
external_id:
isi:
- '000577244600003'
pmid:
- '33028844'
file:
- access_level: open_access
checksum: 0ecc0eab72d2d50694852579611a6624
content_type: application/pdf
creator: dernst
date_created: 2020-10-19T11:27:46Z
date_updated: 2020-10-19T11:27:46Z
file_id: '8677'
file_name: 2020_NatureComm_Sznurkowska.pdf
file_size: 5540540
relation: main_file
success: 1
file_date_updated: 2020-10-19T11:27:46Z
has_accepted_license: '1'
intvolume: ' 11'
isi: 1
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
pmid: 1
publication: Nature Communications
publication_identifier:
eissn:
- '20411723'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Tracing the cellular basis of islet specification in mouse pancreas
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: '2020'
...
---
_id: '8670'
abstract:
- lang: eng
text: The α–z Rényi relative entropies are a two-parameter family of Rényi relative
entropies that are quantum generalizations of the classical α-Rényi relative entropies.
In the work [Adv. Math. 365, 107053 (2020)], we decided the full range of (α,
z) for which the data processing inequality (DPI) is valid. In this paper, we
give algebraic conditions for the equality in DPI. For the full range of parameters
(α, z), we give necessary conditions and sufficient conditions. For most parameters,
we give equivalent conditions. This generalizes and strengthens the results of
Leditzky et al. [Lett. Math. Phys. 107, 61–80 (2017)].
acknowledgement: This research was supported by the European Union’s Horizon 2020
research and innovation program under the Marie Skłodowska-Curie Grant Agreement
No. 754411. The author would like to thank Anna Vershynina and Sarah Chehade for
their helpful comments.
article_number: '102201'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Haonan
full_name: Zhang, Haonan
id: D8F41E38-9E66-11E9-A9E2-65C2E5697425
last_name: Zhang
citation:
ama: Zhang H. Equality conditions of data processing inequality for α-z Rényi relative
entropies. Journal of Mathematical Physics. 2020;61(10). doi:10.1063/5.0022787
apa: Zhang, H. (2020). Equality conditions of data processing inequality for α-z
Rényi relative entropies. Journal of Mathematical Physics. AIP Publishing.
https://doi.org/10.1063/5.0022787
chicago: Zhang, Haonan. “Equality Conditions of Data Processing Inequality for α-z
Rényi Relative Entropies.” Journal of Mathematical Physics. AIP Publishing,
2020. https://doi.org/10.1063/5.0022787.
ieee: H. Zhang, “Equality conditions of data processing inequality for α-z Rényi
relative entropies,” Journal of Mathematical Physics, vol. 61, no. 10.
AIP Publishing, 2020.
ista: Zhang H. 2020. Equality conditions of data processing inequality for α-z Rényi
relative entropies. Journal of Mathematical Physics. 61(10), 102201.
mla: Zhang, Haonan. “Equality Conditions of Data Processing Inequality for α-z Rényi
Relative Entropies.” Journal of Mathematical Physics, vol. 61, no. 10,
102201, AIP Publishing, 2020, doi:10.1063/5.0022787.
short: H. Zhang, Journal of Mathematical Physics 61 (2020).
date_created: 2020-10-18T22:01:36Z
date_published: 2020-10-01T00:00:00Z
date_updated: 2023-08-22T10:32:29Z
day: '01'
department:
- _id: JaMa
doi: 10.1063/5.0022787
ec_funded: 1
external_id:
arxiv:
- '2007.06644'
isi:
- '000578529200001'
intvolume: ' 61'
isi: 1
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2007.06644
month: '10'
oa: 1
oa_version: Preprint
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Journal of Mathematical Physics
publication_identifier:
issn:
- '00222488'
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Equality conditions of data processing inequality for α-z Rényi relative entropies
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 61
year: '2020'
...
---
_id: '8671'
abstract:
- lang: eng
text: 'We study relations between evidence theory and S-approximation spaces. Both
theories have their roots in the analysis of Dempsterchr(''39'')s multivalued
mappings and lower and upper probabilities, and have close relations to rough
sets. We show that an S-approximation space, satisfying a monotonicity condition,
can induce a natural belief structure which is a fundamental block in evidence
theory. We also demonstrate that one can induce a natural belief structure on
one set, given a belief structure on another set, if the two sets are related
by a partial monotone S-approximation space. '
acknowledgement: We are very grateful to the anonymous reviewer for detailed comments
and suggestions that significantly improved the presentation of this paper. The
research was partially supported by a DOC fellowship of the Austrian Academy of
Sciences.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: A.
full_name: Shakiba, A.
last_name: Shakiba
- first_name: Amir Kafshdar
full_name: Goharshady, Amir Kafshdar
id: 391365CE-F248-11E8-B48F-1D18A9856A87
last_name: Goharshady
orcid: 0000-0003-1702-6584
- first_name: M.R.
full_name: Hooshmandasl, M.R.
last_name: Hooshmandasl
- first_name: M.
full_name: Alambardar Meybodi, M.
last_name: Alambardar Meybodi
citation:
ama: Shakiba A, Goharshady AK, Hooshmandasl MR, Alambardar Meybodi M. A note on
belief structures and s-approximation spaces. Iranian Journal of Mathematical
Sciences and Informatics. 2020;15(2):117-128. doi:10.29252/ijmsi.15.2.117
apa: Shakiba, A., Goharshady, A. K., Hooshmandasl, M. R., & Alambardar Meybodi,
M. (2020). A note on belief structures and s-approximation spaces. Iranian
Journal of Mathematical Sciences and Informatics. Iranian Academic Center
for Education, Culture and Research. https://doi.org/10.29252/ijmsi.15.2.117
chicago: Shakiba, A., Amir Kafshdar Goharshady, M.R. Hooshmandasl, and M. Alambardar
Meybodi. “A Note on Belief Structures and S-Approximation Spaces.” Iranian
Journal of Mathematical Sciences and Informatics. Iranian Academic Center
for Education, Culture and Research, 2020. https://doi.org/10.29252/ijmsi.15.2.117.
ieee: A. Shakiba, A. K. Goharshady, M. R. Hooshmandasl, and M. Alambardar Meybodi,
“A note on belief structures and s-approximation spaces,” Iranian Journal of
Mathematical Sciences and Informatics, vol. 15, no. 2. Iranian Academic Center
for Education, Culture and Research, pp. 117–128, 2020.
ista: Shakiba A, Goharshady AK, Hooshmandasl MR, Alambardar Meybodi M. 2020. A note
on belief structures and s-approximation spaces. Iranian Journal of Mathematical
Sciences and Informatics. 15(2), 117–128.
mla: Shakiba, A., et al. “A Note on Belief Structures and S-Approximation Spaces.”
Iranian Journal of Mathematical Sciences and Informatics, vol. 15, no.
2, Iranian Academic Center for Education, Culture and Research, 2020, pp. 117–28,
doi:10.29252/ijmsi.15.2.117.
short: A. Shakiba, A.K. Goharshady, M.R. Hooshmandasl, M. Alambardar Meybodi, Iranian
Journal of Mathematical Sciences and Informatics 15 (2020) 117–128.
date_created: 2020-10-18T22:01:36Z
date_published: 2020-10-01T00:00:00Z
date_updated: 2023-10-16T09:25:00Z
day: '01'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.29252/ijmsi.15.2.117
external_id:
arxiv:
- '1805.10672'
file:
- access_level: open_access
checksum: f299661a6d51cda6d255a76be696f48d
content_type: application/pdf
creator: dernst
date_created: 2020-10-19T11:14:20Z
date_updated: 2020-10-19T11:14:20Z
file_id: '8676'
file_name: 2020_ijmsi_Shakiba_accepted.pdf
file_size: 261688
relation: main_file
success: 1
file_date_updated: 2020-10-19T11:14:20Z
has_accepted_license: '1'
intvolume: ' 15'
issue: '2'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Submitted Version
page: 117-128
project:
- _id: 267066CE-B435-11E9-9278-68D0E5697425
name: Quantitative Analysis of Probablistic Systems with a focus on Crypto-currencies
publication: Iranian Journal of Mathematical Sciences and Informatics
publication_identifier:
eissn:
- 2008-9473
issn:
- 1735-4463
publication_status: published
publisher: Iranian Academic Center for Education, Culture and Research
quality_controlled: '1'
scopus_import: '1'
status: public
title: A note on belief structures and s-approximation spaces
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 15
year: '2020'
...
---
_id: '8672'
abstract:
- lang: eng
text: Cell fate transitions are key to development and homeostasis. It is thus essential
to understand the cellular mechanisms controlling fate transitions. Cell division
has been implicated in fate decisions in many stem cell types, including neuronal
and epithelial progenitors. In other stem cells, such as embryonic stem (ES) cells,
the role of division remains unclear. Here, we show that exit from naive pluripotency
in mouse ES cells generally occurs after a division. We further show that exit
timing is strongly correlated between sister cells, which remain connected by
cytoplasmic bridges long after division, and that bridge abscission progressively
accelerates as cells exit naive pluripotency. Finally, interfering with abscission
impairs naive pluripotency exit, and artificially inducing abscission accelerates
it. Altogether, our data indicate that a switch in the division machinery leading
to faster abscission regulates pluripotency exit. Our study identifies abscission
as a key cellular process coupling cell division to fate transitions.
acknowledgement: This work was supported by the Medical Research Council UK (MRC Program
award MC_UU_12018/5 ), the European Research Council (starting grant 311637 -MorphoCorDiv
and consolidator grant 820188 -NanoMechShape to E.K.P.), and the Leverhulme Trust
(Leverhulme Prize in Biological Sciences to E.K.P.). K.J.C. acknowledges support
from the Royal Society (Royal Society Research Fellowship). A.C. acknowledges support
from EMBO ( ALTF 2015-563 ), the Wellcome Trust ( 201334/Z/16/Z ), and the Fondation
Bettencourt-Schueller (Prix Jeune Chercheur, 2015).
article_processing_charge: No
article_type: original
author:
- first_name: Agathe
full_name: Chaigne, Agathe
last_name: Chaigne
- first_name: Céline
full_name: Labouesse, Céline
last_name: Labouesse
- first_name: Ian J.
full_name: White, Ian J.
last_name: White
- first_name: Meghan
full_name: Agnew, Meghan
last_name: Agnew
- first_name: Edouard B
full_name: Hannezo, Edouard B
id: 3A9DB764-F248-11E8-B48F-1D18A9856A87
last_name: Hannezo
orcid: 0000-0001-6005-1561
- first_name: Kevin J.
full_name: Chalut, Kevin J.
last_name: Chalut
- first_name: Ewa K.
full_name: Paluch, Ewa K.
last_name: Paluch
citation:
ama: Chaigne A, Labouesse C, White IJ, et al. Abscission couples cell division to
embryonic stem cell fate. Developmental Cell. 2020;55(2):195-208. doi:10.1016/j.devcel.2020.09.001
apa: Chaigne, A., Labouesse, C., White, I. J., Agnew, M., Hannezo, E. B., Chalut,
K. J., & Paluch, E. K. (2020). Abscission couples cell division to embryonic
stem cell fate. Developmental Cell. Elsevier. https://doi.org/10.1016/j.devcel.2020.09.001
chicago: Chaigne, Agathe, Céline Labouesse, Ian J. White, Meghan Agnew, Edouard
B Hannezo, Kevin J. Chalut, and Ewa K. Paluch. “Abscission Couples Cell Division
to Embryonic Stem Cell Fate.” Developmental Cell. Elsevier, 2020. https://doi.org/10.1016/j.devcel.2020.09.001.
ieee: A. Chaigne et al., “Abscission couples cell division to embryonic stem
cell fate,” Developmental Cell, vol. 55, no. 2. Elsevier, pp. 195–208,
2020.
ista: Chaigne A, Labouesse C, White IJ, Agnew M, Hannezo EB, Chalut KJ, Paluch EK.
2020. Abscission couples cell division to embryonic stem cell fate. Developmental
Cell. 55(2), 195–208.
mla: Chaigne, Agathe, et al. “Abscission Couples Cell Division to Embryonic Stem
Cell Fate.” Developmental Cell, vol. 55, no. 2, Elsevier, 2020, pp. 195–208,
doi:10.1016/j.devcel.2020.09.001.
short: A. Chaigne, C. Labouesse, I.J. White, M. Agnew, E.B. Hannezo, K.J. Chalut,
E.K. Paluch, Developmental Cell 55 (2020) 195–208.
date_created: 2020-10-18T22:01:37Z
date_published: 2020-10-26T00:00:00Z
date_updated: 2023-08-22T10:16:58Z
day: '26'
ddc:
- '570'
department:
- _id: EdHa
doi: 10.1016/j.devcel.2020.09.001
external_id:
isi:
- '000582501100012'
pmid:
- '32979313'
file:
- access_level: open_access
checksum: 88e1a031a61689165d19a19c2f16d795
content_type: application/pdf
creator: dernst
date_created: 2021-02-04T10:20:02Z
date_updated: 2021-02-04T10:20:02Z
file_id: '9086'
file_name: 2020_DevelopmCell_Chaigne.pdf
file_size: 6929686
relation: main_file
success: 1
file_date_updated: 2021-02-04T10:20:02Z
has_accepted_license: '1'
intvolume: ' 55'
isi: 1
issue: '2'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 195-208
pmid: 1
publication: Developmental Cell
publication_identifier:
eissn:
- '18781551'
issn:
- '15345807'
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Abscission couples cell division to embryonic stem cell fate
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: 55
year: '2020'
...
---
_id: '8674'
abstract:
- lang: eng
text: 'Extrasynaptic actions of glutamate are limited by high-affinity transporters
expressed by perisynaptic astroglial processes (PAPs): this helps maintain point-to-point
transmission in excitatory circuits. Memory formation in the brain is associated
with synaptic remodeling, but how this affects PAPs and therefore extrasynaptic
glutamate actions is poorly understood. Here, we used advanced imaging methods,
in situ and in vivo, to find that a classical synaptic memory mechanism, long-term
potentiation (LTP), triggers withdrawal of PAPs from potentiated synapses. Optical
glutamate sensors combined with patch-clamp and 3D molecular localization reveal
that LTP induction thus prompts spatial retreat of astroglial glutamate transporters,
boosting glutamate spillover and NMDA-receptor-mediated inter-synaptic cross-talk.
The LTP-triggered PAP withdrawal involves NKCC1 transporters and the actin-controlling
protein cofilin but does not depend on major Ca2+-dependent cascades in astrocytes.
We have therefore uncovered a mechanism by which a memory trace at one synapse
could alter signal handling by multiple neighboring connections.'
acknowledgement: We thank J. Angibaud for organotypic cultures and R. Chereau and
J. Tonnesen for help with the STED microscope; also D. Gonzales and the Neurocentre
Magendie INSERM U1215 Genotyping Platform, for breeding management and genotyping.
This work was supported by the Wellcome Trust Principal Fellowships 101896 and 212251,
ERC Advanced Grant 323113, ERC Proof-of-Concept Grant 767372, EC FP7 ITN 606950,
and EU CSA 811011 (D.A.R.); NRW-Rückkehrerpogramm, UCL Excellence Fellowship, German
Research Foundation (DFG) SPP1757 and SFB1089 (C.H.); Human Frontiers Science Program
(C.H., C.J.J., and H.J.); EMBO Long-Term Fellowship (L.B.); Marie Curie FP7 PIRG08-GA-2010-276995
(A.P.), ASTROMODULATION (S.R.); Equipe FRM DEQ 201 303 26519, Conseil Régional d’Aquitaine
R12056GG, INSERM (S.H.R.O.); ANR SUPERTri, ANR Castro (ANR-17-CE16-0002), R-13-BSV4-0007-01,
Université de Bordeaux, labex BRAIN (S.H.R.O. and U.V.N.); CNRS (A.P., S.H.R.O.,
and U.V.N.); HFSP, ANR CEXC, and France-BioImaging ANR-10-INSB-04 (U.V.N.); and
FP7 MemStick Project No. 201600 (M.G.S.).
article_processing_charge: No
article_type: original
author:
- first_name: Christian
full_name: Henneberger, Christian
last_name: Henneberger
- first_name: Lucie
full_name: Bard, Lucie
last_name: Bard
- first_name: Aude
full_name: Panatier, Aude
last_name: Panatier
- first_name: James P.
full_name: Reynolds, James P.
last_name: Reynolds
- first_name: Olga
full_name: Kopach, Olga
last_name: Kopach
- first_name: Nikolay I.
full_name: Medvedev, Nikolay I.
last_name: Medvedev
- first_name: Daniel
full_name: Minge, Daniel
last_name: Minge
- first_name: Michel K.
full_name: Herde, Michel K.
last_name: Herde
- first_name: Stefanie
full_name: Anders, Stefanie
last_name: Anders
- first_name: Igor
full_name: Kraev, Igor
last_name: Kraev
- first_name: Janosch P.
full_name: Heller, Janosch P.
last_name: Heller
- first_name: Sylvain
full_name: Rama, Sylvain
last_name: Rama
- first_name: Kaiyu
full_name: Zheng, Kaiyu
last_name: Zheng
- first_name: Thomas P.
full_name: Jensen, Thomas P.
last_name: Jensen
- first_name: Inmaculada
full_name: Sanchez-Romero, Inmaculada
id: 3D9C5D30-F248-11E8-B48F-1D18A9856A87
last_name: Sanchez-Romero
- first_name: Colin J.
full_name: Jackson, Colin J.
last_name: Jackson
- first_name: Harald L
full_name: Janovjak, Harald L
id: 33BA6C30-F248-11E8-B48F-1D18A9856A87
last_name: Janovjak
orcid: 0000-0002-8023-9315
- first_name: Ole Petter
full_name: Ottersen, Ole Petter
last_name: Ottersen
- first_name: Erlend Arnulf
full_name: Nagelhus, Erlend Arnulf
last_name: Nagelhus
- first_name: Stephane H.R.
full_name: Oliet, Stephane H.R.
last_name: Oliet
- first_name: Michael G.
full_name: Stewart, Michael G.
last_name: Stewart
- first_name: U. VAlentin
full_name: Nägerl, U. VAlentin
last_name: Nägerl
- first_name: 'Dmitri A. '
full_name: 'Rusakov, Dmitri A. '
last_name: Rusakov
citation:
ama: Henneberger C, Bard L, Panatier A, et al. LTP induction boosts glutamate spillover
by driving withdrawal of perisynaptic astroglia. Neuron. 2020;108(5):P919-936.E11.
doi:10.1016/j.neuron.2020.08.030
apa: Henneberger, C., Bard, L., Panatier, A., Reynolds, J. P., Kopach, O., Medvedev,
N. I., … Rusakov, D. A. (2020). LTP induction boosts glutamate spillover by driving
withdrawal of perisynaptic astroglia. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2020.08.030
chicago: Henneberger, Christian, Lucie Bard, Aude Panatier, James P. Reynolds, Olga
Kopach, Nikolay I. Medvedev, Daniel Minge, et al. “LTP Induction Boosts Glutamate
Spillover by Driving Withdrawal of Perisynaptic Astroglia.” Neuron. Elsevier,
2020. https://doi.org/10.1016/j.neuron.2020.08.030.
ieee: C. Henneberger et al., “LTP induction boosts glutamate spillover by
driving withdrawal of perisynaptic astroglia,” Neuron, vol. 108, no. 5.
Elsevier, p. P919–936.E11, 2020.
ista: Henneberger C, Bard L, Panatier A, Reynolds JP, Kopach O, Medvedev NI, Minge
D, Herde MK, Anders S, Kraev I, Heller JP, Rama S, Zheng K, Jensen TP, Sanchez-Romero
I, Jackson CJ, Janovjak HL, Ottersen OP, Nagelhus EA, Oliet SHR, Stewart MG, Nägerl
UVa, Rusakov DA. 2020. LTP induction boosts glutamate spillover by driving withdrawal
of perisynaptic astroglia. Neuron. 108(5), P919–936.E11.
mla: Henneberger, Christian, et al. “LTP Induction Boosts Glutamate Spillover by
Driving Withdrawal of Perisynaptic Astroglia.” Neuron, vol. 108, no. 5,
Elsevier, 2020, p. P919–936.E11, doi:10.1016/j.neuron.2020.08.030.
short: C. Henneberger, L. Bard, A. Panatier, J.P. Reynolds, O. Kopach, N.I. Medvedev,
D. Minge, M.K. Herde, S. Anders, I. Kraev, J.P. Heller, S. Rama, K. Zheng, T.P.
Jensen, I. Sanchez-Romero, C.J. Jackson, H.L. Janovjak, O.P. Ottersen, E.A. Nagelhus,
S.H.R. Oliet, M.G. Stewart, U.Va. Nägerl, D.A. Rusakov, Neuron 108 (2020) P919–936.E11.
date_created: 2020-10-18T22:01:38Z
date_published: 2020-12-09T00:00:00Z
date_updated: 2023-08-22T09:59:29Z
day: '09'
ddc:
- '570'
department:
- _id: HaJa
doi: 10.1016/j.neuron.2020.08.030
external_id:
isi:
- '000603428000010'
pmid:
- '32976770'
file:
- access_level: open_access
checksum: 054562bb50165ef9a1f46631c1c5e36b
content_type: application/pdf
creator: dernst
date_created: 2020-12-10T14:42:09Z
date_updated: 2020-12-10T14:42:09Z
file_id: '8939'
file_name: 2020_Neuron_Henneberger.pdf
file_size: 7518960
relation: main_file
success: 1
file_date_updated: 2020-12-10T14:42:09Z
has_accepted_license: '1'
intvolume: ' 108'
isi: 1
issue: '5'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: P919-936.E11
pmid: 1
publication: Neuron
publication_identifier:
eissn:
- '10974199'
issn:
- '08966273'
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: LTP induction boosts glutamate spillover by driving withdrawal of perisynaptic
astroglia
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: 108
year: '2020'
...
---
_id: '8679'
abstract:
- lang: eng
text: A central goal of artificial intelligence in high-stakes decision-making applications
is to design a single algorithm that simultaneously expresses generalizability
by learning coherent representations of their world and interpretable explanations
of its dynamics. Here, we combine brain-inspired neural computation principles
and scalable deep learning architectures to design compact neural controllers
for task-specific compartments of a full-stack autonomous vehicle control system.
We discover that a single algorithm with 19 control neurons, connecting 32 encapsulated
input features to outputs by 253 synapses, learns to map high-dimensional inputs
into steering commands. This system shows superior generalizability, interpretability
and robustness compared with orders-of-magnitude larger black-box learning systems.
The obtained neural agents enable high-fidelity autonomy for task-specific parts
of a complex autonomous system.
article_processing_charge: No
article_type: original
author:
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Ramin
full_name: Hasani, Ramin
last_name: Hasani
- first_name: Alexander
full_name: Amini, Alexander
last_name: Amini
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Daniela
full_name: Rus, Daniela
last_name: Rus
- first_name: Radu
full_name: Grosu, Radu
last_name: Grosu
citation:
ama: Lechner M, Hasani R, Amini A, Henzinger TA, Rus D, Grosu R. Neural circuit
policies enabling auditable autonomy. Nature Machine Intelligence. 2020;2:642-652.
doi:10.1038/s42256-020-00237-3
apa: Lechner, M., Hasani, R., Amini, A., Henzinger, T. A., Rus, D., & Grosu,
R. (2020). Neural circuit policies enabling auditable autonomy. Nature Machine
Intelligence. Springer Nature. https://doi.org/10.1038/s42256-020-00237-3
chicago: Lechner, Mathias, Ramin Hasani, Alexander Amini, Thomas A Henzinger, Daniela
Rus, and Radu Grosu. “Neural Circuit Policies Enabling Auditable Autonomy.” Nature
Machine Intelligence. Springer Nature, 2020. https://doi.org/10.1038/s42256-020-00237-3.
ieee: M. Lechner, R. Hasani, A. Amini, T. A. Henzinger, D. Rus, and R. Grosu, “Neural
circuit policies enabling auditable autonomy,” Nature Machine Intelligence,
vol. 2. Springer Nature, pp. 642–652, 2020.
ista: Lechner M, Hasani R, Amini A, Henzinger TA, Rus D, Grosu R. 2020. Neural circuit
policies enabling auditable autonomy. Nature Machine Intelligence. 2, 642–652.
mla: Lechner, Mathias, et al. “Neural Circuit Policies Enabling Auditable Autonomy.”
Nature Machine Intelligence, vol. 2, Springer Nature, 2020, pp. 642–52,
doi:10.1038/s42256-020-00237-3.
short: M. Lechner, R. Hasani, A. Amini, T.A. Henzinger, D. Rus, R. Grosu, Nature
Machine Intelligence 2 (2020) 642–652.
date_created: 2020-10-19T13:46:06Z
date_published: 2020-10-01T00:00:00Z
date_updated: 2023-08-22T10:36:06Z
day: '01'
department:
- _id: ToHe
doi: 10.1038/s42256-020-00237-3
external_id:
isi:
- '000583337200011'
intvolume: ' 2'
isi: 1
language:
- iso: eng
month: '10'
oa_version: None
page: 642-652
project:
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
publication: Nature Machine Intelligence
publication_identifier:
eissn:
- 2522-5839
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/new-deep-learning-models/
scopus_import: '1'
status: public
title: Neural circuit policies enabling auditable autonomy
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 2
year: '2020'
...
---
_id: '8680'
abstract:
- lang: eng
text: Animal development entails the organization of specific cell types in space
and time, and spatial patterns must form in a robust manner. In the zebrafish
spinal cord, neural progenitors form stereotypic patterns despite noisy morphogen
signaling and large-scale cellular rearrangements during morphogenesis and growth.
By directly measuring adhesion forces and preferences for three types of endogenous
neural progenitors, we provide evidence for the differential adhesion model in
which differences in intercellular adhesion mediate cell sorting. Cell type–specific
combinatorial expression of different classes of cadherins (N-cadherin, cadherin
11, and protocadherin 19) results in homotypic preference ex vivo and patterning
robustness in vivo. Furthermore, the differential adhesion code is regulated by
the sonic hedgehog morphogen gradient. We propose that robust patterning during
tissue morphogenesis results from interplay between adhesion-based self-organization
and morphogen-directed patterning.
acknowledgement: "We thank the members of the Megason and Heisenberg labs for critical
discussions of and technical assistance during the work and B. Appel, S. Holley,
J. Jontes, and D. Gilmour for transgenic fish. This work is supported by the Damon
Runyon Cancer Foundation, a NICHD K99 fellowship (1K99HD092623), a Travelling Fellowship
of the Company of Biologists, a Collaborative Research grant from the Burroughs
Wellcome Foundation (T.Y.-C.T.), NIH grant 01GM107733 (T.Y.-C.T. and S.G.M.), NIH
grant R01NS102322 (T.C.-C. and H.K.), and an ERC advanced grant\r\n(MECSPEC) (C.-P.H.)."
article_processing_charge: No
article_type: original
author:
- first_name: Tony Y.-C.
full_name: Tsai, Tony Y.-C.
last_name: Tsai
- first_name: Mateusz K
full_name: Sikora, Mateusz K
id: 2F74BCDE-F248-11E8-B48F-1D18A9856A87
last_name: Sikora
- first_name: Peng
full_name: Xia, Peng
id: 4AB6C7D0-F248-11E8-B48F-1D18A9856A87
last_name: Xia
orcid: 0000-0002-5419-7756
- first_name: Tugba
full_name: Colak-Champollion, Tugba
last_name: Colak-Champollion
- first_name: Holger
full_name: Knaut, Holger
last_name: Knaut
- first_name: Carl-Philipp J
full_name: Heisenberg, Carl-Philipp J
id: 39427864-F248-11E8-B48F-1D18A9856A87
last_name: Heisenberg
orcid: 0000-0002-0912-4566
- first_name: Sean G.
full_name: Megason, Sean G.
last_name: Megason
citation:
ama: Tsai TY-C, Sikora MK, Xia P, et al. An adhesion code ensures robust pattern
formation during tissue morphogenesis. Science. 2020;370(6512):113-116.
doi:10.1126/science.aba6637
apa: Tsai, T. Y.-C., Sikora, M. K., Xia, P., Colak-Champollion, T., Knaut, H., Heisenberg,
C.-P. J., & Megason, S. G. (2020). An adhesion code ensures robust pattern
formation during tissue morphogenesis. Science. American Association for
the Advancement of Science. https://doi.org/10.1126/science.aba6637
chicago: Tsai, Tony Y.-C., Mateusz K Sikora, Peng Xia, Tugba Colak-Champollion,
Holger Knaut, Carl-Philipp J Heisenberg, and Sean G. Megason. “An Adhesion Code
Ensures Robust Pattern Formation during Tissue Morphogenesis.” Science.
American Association for the Advancement of Science, 2020. https://doi.org/10.1126/science.aba6637.
ieee: T. Y.-C. Tsai et al., “An adhesion code ensures robust pattern formation
during tissue morphogenesis,” Science, vol. 370, no. 6512. American Association
for the Advancement of Science, pp. 113–116, 2020.
ista: Tsai TY-C, Sikora MK, Xia P, Colak-Champollion T, Knaut H, Heisenberg C-PJ,
Megason SG. 2020. An adhesion code ensures robust pattern formation during tissue
morphogenesis. Science. 370(6512), 113–116.
mla: Tsai, Tony Y. C., et al. “An Adhesion Code Ensures Robust Pattern Formation
during Tissue Morphogenesis.” Science, vol. 370, no. 6512, American Association
for the Advancement of Science, 2020, pp. 113–16, doi:10.1126/science.aba6637.
short: T.Y.-C. Tsai, M.K. Sikora, P. Xia, T. Colak-Champollion, H. Knaut, C.-P.J.
Heisenberg, S.G. Megason, Science 370 (2020) 113–116.
date_created: 2020-10-19T14:09:38Z
date_published: 2020-10-02T00:00:00Z
date_updated: 2023-08-22T10:36:35Z
day: '02'
department:
- _id: CaHe
doi: 10.1126/science.aba6637
ec_funded: 1
external_id:
isi:
- '000579169000053'
intvolume: ' 370'
isi: 1
issue: '6512'
keyword:
- Multidisciplinary
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/content/10.1101/803635v1
month: '10'
oa: 1
oa_version: Preprint
page: 113-116
project:
- _id: 260F1432-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '742573'
name: Interaction and feedback between cell mechanics and fate specification in
vertebrate gastrulation
publication: Science
publication_identifier:
eissn:
- 1095-9203
issn:
- 0036-8075
publication_status: published
publisher: American Association for the Advancement of Science
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/sticking-together/
scopus_import: '1'
status: public
title: An adhesion code ensures robust pattern formation during tissue morphogenesis
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 370
year: '2020'
...
---
_id: '8691'
abstract:
- lang: eng
text: Given l>2ν>2d≥4, we prove the persistence of a Cantor--family of KAM tori
of measure O(ε1/2−ν/l) for any non--degenerate nearly integrable Hamiltonian system
of class Cl(D×Td), where D⊂Rd is a bounded domain, provided that the size ε of
the perturbation is sufficiently small. This extends a result by D. Salamon in
\cite{salamon2004kolmogorov} according to which we do have the persistence of
a single KAM torus in the same framework. Moreover, it is well--known that, for
the persistence of a single torus, the regularity assumption can not be improved.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Edmond
full_name: Koudjinan, Edmond
id: 52DF3E68-AEFA-11EA-95A4-124A3DDC885E
last_name: Koudjinan
orcid: 0000-0003-2640-4049
citation:
ama: Koudjinan E. A KAM theorem for finitely differentiable Hamiltonian systems.
Journal of Differential Equations. 2020;269(6):4720-4750. doi:10.1016/j.jde.2020.03.044
apa: Koudjinan, E. (2020). A KAM theorem for finitely differentiable Hamiltonian
systems. Journal of Differential Equations. Elsevier. https://doi.org/10.1016/j.jde.2020.03.044
chicago: Koudjinan, Edmond. “A KAM Theorem for Finitely Differentiable Hamiltonian
Systems.” Journal of Differential Equations. Elsevier, 2020. https://doi.org/10.1016/j.jde.2020.03.044.
ieee: E. Koudjinan, “A KAM theorem for finitely differentiable Hamiltonian systems,”
Journal of Differential Equations, vol. 269, no. 6. Elsevier, pp. 4720–4750,
2020.
ista: Koudjinan E. 2020. A KAM theorem for finitely differentiable Hamiltonian systems.
Journal of Differential Equations. 269(6), 4720–4750.
mla: Koudjinan, Edmond. “A KAM Theorem for Finitely Differentiable Hamiltonian Systems.”
Journal of Differential Equations, vol. 269, no. 6, Elsevier, 2020, pp.
4720–50, doi:10.1016/j.jde.2020.03.044.
short: E. Koudjinan, Journal of Differential Equations 269 (2020) 4720–4750.
date_created: 2020-10-21T15:03:05Z
date_published: 2020-09-05T00:00:00Z
date_updated: 2021-01-12T08:20:33Z
day: '05'
doi: 10.1016/j.jde.2020.03.044
extern: '1'
external_id:
arxiv:
- '1909.04099'
intvolume: ' 269'
issue: '6'
keyword:
- Analysis
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1909.04099
month: '09'
oa: 1
oa_version: Preprint
page: 4720-4750
publication: Journal of Differential Equations
publication_identifier:
issn:
- 0022-0396
publication_status: published
publisher: Elsevier
quality_controlled: '1'
status: public
title: A KAM theorem for finitely differentiable Hamiltonian systems
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 269
year: '2020'
...
---
_id: '8694'
abstract:
- lang: eng
text: "We develop algorithms and techniques to compute rigorous bounds for finite
pieces of orbits of the critical points, for intervals of parameter values, in
the quadratic family of one-dimensional maps fa(x)=a−x2. We illustrate the effectiveness
of our approach by constructing a dynamically defined partition \U0001D4AB of
the parameter interval Ω=[1.4,2] into almost 4×106 subintervals, for each of which
we compute to high precision the orbits of the critical points up to some time
N and other dynamically relevant quantities, several of which can vary greatly,
possibly spanning several orders of magnitude. We also subdivide \U0001D4AB into
a family \U0001D4AB+ of intervals, which we call stochastic intervals, and a family
\U0001D4AB− of intervals, which we call regular intervals. We numerically prove
that each interval ω∈\U0001D4AB+ has an escape time, which roughly means that
some iterate of the critical point taken over all the parameters in ω has considerable
width in the phase space. This suggests, in turn, that most parameters belonging
to the intervals in \U0001D4AB+ are stochastic and most parameters belonging to
the intervals in \U0001D4AB− are regular, thus the names. We prove that the intervals
in \U0001D4AB+ occupy almost 90% of the total measure of Ω. The software and the
data are freely available at http://www.pawelpilarczyk.com/quadr/, and a web page
is provided for carrying out the calculations. The ideas and procedures can be
easily generalized to apply to other parameterized families of dynamical systems."
article_number: '073143'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Ali
full_name: Golmakani, Ali
last_name: Golmakani
- first_name: Edmond
full_name: Koudjinan, Edmond
id: 52DF3E68-AEFA-11EA-95A4-124A3DDC885E
last_name: Koudjinan
orcid: 0000-0003-2640-4049
- first_name: Stefano
full_name: Luzzatto, Stefano
last_name: Luzzatto
- first_name: Pawel
full_name: Pilarczyk, Pawel
last_name: Pilarczyk
citation:
ama: Golmakani A, Koudjinan E, Luzzatto S, Pilarczyk P. Rigorous numerics for critical
orbits in the quadratic family. Chaos. 2020;30(7). doi:10.1063/5.0012822
apa: Golmakani, A., Koudjinan, E., Luzzatto, S., & Pilarczyk, P. (2020). Rigorous
numerics for critical orbits in the quadratic family. Chaos. AIP. https://doi.org/10.1063/5.0012822
chicago: Golmakani, Ali, Edmond Koudjinan, Stefano Luzzatto, and Pawel Pilarczyk.
“Rigorous Numerics for Critical Orbits in the Quadratic Family.” Chaos.
AIP, 2020. https://doi.org/10.1063/5.0012822.
ieee: A. Golmakani, E. Koudjinan, S. Luzzatto, and P. Pilarczyk, “Rigorous numerics
for critical orbits in the quadratic family,” Chaos, vol. 30, no. 7. AIP,
2020.
ista: Golmakani A, Koudjinan E, Luzzatto S, Pilarczyk P. 2020. Rigorous numerics
for critical orbits in the quadratic family. Chaos. 30(7), 073143.
mla: Golmakani, Ali, et al. “Rigorous Numerics for Critical Orbits in the Quadratic
Family.” Chaos, vol. 30, no. 7, 073143, AIP, 2020, doi:10.1063/5.0012822.
short: A. Golmakani, E. Koudjinan, S. Luzzatto, P. Pilarczyk, Chaos 30 (2020).
date_created: 2020-10-21T15:43:05Z
date_published: 2020-07-31T00:00:00Z
date_updated: 2021-01-12T08:20:34Z
day: '31'
doi: 10.1063/5.0012822
extern: '1'
external_id:
arxiv:
- '2004.13444'
intvolume: ' 30'
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2004.13444
month: '07'
oa: 1
oa_version: Preprint
publication: Chaos
publication_status: published
publisher: AIP
quality_controlled: '1'
status: public
title: Rigorous numerics for critical orbits in the quadratic family
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 30
year: '2020'
...
---
_id: '8695'
abstract:
- lang: eng
text: A look at international activities on Open Science reveals a broad spectrum
from individual institutional policies to national action plans. The present Recommendations
for a National Open Science Strategy in Austria are based on these international
initiatives and present practical considerations for their coordinated implementation
with regard to strategic developments in research, technology and innovation (RTI)
in Austria until 2030. They are addressed to all relevant actors in the RTI system,
in particular to Research Performing Organisations, Research Funding Organisations,
Research Policy, memory institutions such as Libraries and Researchers. The recommendation
paper was developed from 2018 to 2020 by the OANA working group "Open Science
Strategy" and published for the first time in spring 2020 for a public consultation.
The now available final version of the recommendation document, which contains
feedback and comments from the consultation, is intended to provide an impetus
for further discussion and implementation of Open Science in Austria and serves
as a contribution and basis for a potential national Open Science Strategy in
Austria. The document builds on the diverse expertise of the authors (academia,
administration, library and archive, information technology, science policy, funding
system, etc.) and reflects their personal experiences and opinions.
- lang: ger
text: Der Blick auf internationale Aktivitäten zu Open Science zeigt ein breites
Spektrum von einzelnen institutionellen Policies bis hin zu nationalen Aktionsplänen.
Die vorliegenden Empfehlungen für eine nationale Open Science Strategie in Österreich
orientieren sich an diesen internationalen Initiativen und stellen praktische
Überlegungen für ihre koordinierte Implementierung im Hinblick auf strategische
Entwicklungen in Forschung, Technologie und Innovation (FTI) bis 2030 in Österreich
dar. Dabei richten sie sich an alle relevanten Akteur*innen im FTI System, im
Besonderen an Forschungsstätten, Forschungsförderer, Forschungspolitik, Gedächtnisinstitutionen
wie Bibliotheken und Wissenschafter*innen. Das Empfehlungspapier wurde von 2018
bis 2020 von der OANA-Arbeitsgruppe "Open Science Strategie" entwickelt und im
Frühling 2020 das erste Mal für eine öffentliche Konsultation veröffentlicht.
Die nun vorliegende finale Version des Empfehlungsdokuments, die Feedback und
Kommentare aus der Konsultation enthält, soll ein Anstoß für die weitere Diskussion
und Umsetzung von Open Science in Österreich sein und als Beitrag und Grundlage
einer potentiellen nationalen Open Science Strategie in Österreich dienen. Das
Dokument baut auf der vielfältigen Expertise der Autor*innen auf (Wissenschaft,
Administration, Bibliothek und Archiv, Informationstechnologie, Wissenschaftspolitik,
Förderwesen etc.) und spiegelt deren persönliche Erfahrungen und Meinung wider.
article_processing_charge: No
author:
- first_name: Katja
full_name: Mayer, Katja
last_name: Mayer
- first_name: Katharina
full_name: Rieck, Katharina
last_name: Rieck
- first_name: Stefan
full_name: Reichmann, Stefan
last_name: Reichmann
- first_name: Patrick
full_name: Danowski, Patrick
id: 2EBD1598-F248-11E8-B48F-1D18A9856A87
last_name: Danowski
orcid: 0000-0002-6026-4409
- first_name: Anton
full_name: Graschopf, Anton
last_name: Graschopf
- first_name: Thomas
full_name: König, Thomas
last_name: König
- first_name: Peter
full_name: Kraker, Peter
last_name: Kraker
- first_name: Patrick
full_name: Lehner, Patrick
last_name: Lehner
- first_name: Falk
full_name: Reckling, Falk
last_name: Reckling
- first_name: Tony
full_name: Ross-Hellauer, Tony
last_name: Ross-Hellauer
- first_name: Daniel
full_name: Spichtinger, Daniel
last_name: Spichtinger
- first_name: Michalis
full_name: Tzatzanis, Michalis
last_name: Tzatzanis
- first_name: Stefanie
full_name: Schürz, Stefanie
last_name: Schürz
citation:
ama: Mayer K, Rieck K, Reichmann S, et al. Empfehlungen für eine nationale Open
Science Strategie in Österreich / Recommendations for a National Open Science
Strategy in Austria. OANA; 2020. doi:10.5281/ZENODO.4109242
apa: Mayer, K., Rieck, K., Reichmann, S., Danowski, P., Graschopf, A., König, T.,
… Schürz, S. (2020). Empfehlungen für eine nationale Open Science Strategie
in Österreich / Recommendations for a National Open Science Strategy in Austria.
OANA. https://doi.org/10.5281/ZENODO.4109242
chicago: Mayer, Katja, Katharina Rieck, Stefan Reichmann, Patrick Danowski, Anton
Graschopf, Thomas König, Peter Kraker, et al. Empfehlungen für eine nationale
Open Science Strategie in Österreich / Recommendations for a National Open Science
Strategy in Austria. OANA, 2020. https://doi.org/10.5281/ZENODO.4109242.
ieee: K. Mayer et al., Empfehlungen für eine nationale Open Science Strategie
in Österreich / Recommendations for a National Open Science Strategy in Austria.
OANA, 2020.
ista: Mayer K, Rieck K, Reichmann S, Danowski P, Graschopf A, König T, Kraker P,
Lehner P, Reckling F, Ross-Hellauer T, Spichtinger D, Tzatzanis M, Schürz S. 2020.
Empfehlungen für eine nationale Open Science Strategie in Österreich / Recommendations
for a National Open Science Strategy in Austria, OANA, 36p.
mla: Mayer, Katja, et al. Empfehlungen für eine nationale Open Science Strategie
in Österreich / Recommendations for a National Open Science Strategy in Austria.
OANA, 2020, doi:10.5281/ZENODO.4109242.
short: K. Mayer, K. Rieck, S. Reichmann, P. Danowski, A. Graschopf, T. König, P.
Kraker, P. Lehner, F. Reckling, T. Ross-Hellauer, D. Spichtinger, M. Tzatzanis,
S. Schürz, Empfehlungen für eine nationale Open Science Strategie in Österreich
/ Recommendations for a National Open Science Strategy in Austria, OANA, 2020.
date_created: 2020-10-23T09:08:28Z
date_published: 2020-10-21T00:00:00Z
date_updated: 2020-10-23T09:34:40Z
day: '21'
ddc:
- '020'
department:
- _id: E-Lib
doi: 10.5281/ZENODO.4109242
file:
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checksum: 8eba912bb4b20b4f82f8010f2110461a
content_type: application/pdf
creator: dernst
date_created: 2020-10-23T09:29:45Z
date_updated: 2020-10-23T09:29:45Z
file_id: '8696'
file_name: 2020_OANA_Mayer.pdf
file_size: 2298363
relation: main_file
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file_date_updated: 2020-10-23T09:29:45Z
has_accepted_license: '1'
language:
- iso: ger
month: '10'
oa: 1
oa_version: Published Version
page: '36'
publication_status: published
publisher: OANA
status: public
title: Empfehlungen für eine nationale Open Science Strategie in Österreich / Recommendations
for a National Open Science Strategy in Austria
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: working_paper
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '8697'
abstract:
- lang: eng
text: In the computation of the material properties of random alloys, the method
of 'special quasirandom structures' attempts to approximate the properties of
the alloy on a finite volume with higher accuracy by replicating certain statistics
of the random atomic lattice in the finite volume as accurately as possible. In
the present work, we provide a rigorous justification for a variant of this method
in the framework of the Thomas–Fermi–von Weizsäcker (TFW) model. Our approach
is based on a recent analysis of a related variance reduction method in stochastic
homogenization of linear elliptic PDEs and the locality properties of the TFW
model. Concerning the latter, we extend an exponential locality result by Nazar
and Ortner to include point charges, a result that may be of independent interest.
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Julian L
full_name: Fischer, Julian L
id: 2C12A0B0-F248-11E8-B48F-1D18A9856A87
last_name: Fischer
orcid: 0000-0002-0479-558X
- first_name: Michael
full_name: Kniely, Michael
id: 2CA2C08C-F248-11E8-B48F-1D18A9856A87
last_name: Kniely
orcid: 0000-0001-5645-4333
citation:
ama: Fischer JL, Kniely M. Variance reduction for effective energies of random lattices
in the Thomas-Fermi-von Weizsäcker model. Nonlinearity. 2020;33(11):5733-5772.
doi:10.1088/1361-6544/ab9728
apa: Fischer, J. L., & Kniely, M. (2020). Variance reduction for effective energies
of random lattices in the Thomas-Fermi-von Weizsäcker model. Nonlinearity.
IOP Publishing. https://doi.org/10.1088/1361-6544/ab9728
chicago: Fischer, Julian L, and Michael Kniely. “Variance Reduction for Effective
Energies of Random Lattices in the Thomas-Fermi-von Weizsäcker Model.” Nonlinearity.
IOP Publishing, 2020. https://doi.org/10.1088/1361-6544/ab9728.
ieee: J. L. Fischer and M. Kniely, “Variance reduction for effective energies of
random lattices in the Thomas-Fermi-von Weizsäcker model,” Nonlinearity,
vol. 33, no. 11. IOP Publishing, pp. 5733–5772, 2020.
ista: Fischer JL, Kniely M. 2020. Variance reduction for effective energies of random
lattices in the Thomas-Fermi-von Weizsäcker model. Nonlinearity. 33(11), 5733–5772.
mla: Fischer, Julian L., and Michael Kniely. “Variance Reduction for Effective Energies
of Random Lattices in the Thomas-Fermi-von Weizsäcker Model.” Nonlinearity,
vol. 33, no. 11, IOP Publishing, 2020, pp. 5733–72, doi:10.1088/1361-6544/ab9728.
short: J.L. Fischer, M. Kniely, Nonlinearity 33 (2020) 5733–5772.
date_created: 2020-10-25T23:01:16Z
date_published: 2020-11-01T00:00:00Z
date_updated: 2023-08-22T10:38:38Z
day: '01'
ddc:
- '510'
department:
- _id: JuFi
doi: 10.1088/1361-6544/ab9728
external_id:
arxiv:
- '1906.12245'
isi:
- '000576492700001'
file:
- access_level: open_access
checksum: ed90bc6eb5f32ee6157fef7f3aabc057
content_type: application/pdf
creator: cziletti
date_created: 2020-10-27T12:09:57Z
date_updated: 2020-10-27T12:09:57Z
file_id: '8710'
file_name: 2020_Nonlinearity_Fischer.pdf
file_size: 1223899
relation: main_file
success: 1
file_date_updated: 2020-10-27T12:09:57Z
has_accepted_license: '1'
intvolume: ' 33'
isi: 1
issue: '11'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/3.0/
month: '11'
oa: 1
oa_version: Published Version
page: 5733-5772
publication: Nonlinearity
publication_identifier:
eissn:
- '13616544'
issn:
- '09517715'
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Variance reduction for effective energies of random lattices in the Thomas-Fermi-von
Weizsäcker model
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/3.0/legalcode
name: Creative Commons Attribution 3.0 Unported (CC BY 3.0)
short: CC BY (3.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 33
year: '2020'
...
---
_id: '8698'
abstract:
- lang: eng
text: The brain represents and reasons probabilistically about complex stimuli and
motor actions using a noisy, spike-based neural code. A key building block for
such neural computations, as well as the basis for supervised and unsupervised
learning, is the ability to estimate the surprise or likelihood of incoming high-dimensional
neural activity patterns. Despite progress in statistical modeling of neural responses
and deep learning, current approaches either do not scale to large neural populations
or cannot be implemented using biologically realistic mechanisms. Inspired by
the sparse and random connectivity of real neuronal circuits, we present a model
for neural codes that accurately estimates the likelihood of individual spiking
patterns and has a straightforward, scalable, efficient, learnable, and realistic
neural implementation. This model’s performance on simultaneously recorded spiking
activity of >100 neurons in the monkey visual and prefrontal cortices is comparable
with or better than that of state-of-the-art models. Importantly, the model can
be learned using a small number of samples and using a local learning rule that
utilizes noise intrinsic to neural circuits. Slower, structural changes in random
connectivity, consistent with rewiring and pruning processes, further improve
the efficiency and sparseness of the resulting neural representations. Our results
merge insights from neuroanatomy, machine learning, and theoretical neuroscience
to suggest random sparse connectivity as a key design principle for neuronal computation.
acknowledgement: We thank Udi Karpas, Roy Harpaz, Tal Tamir, Adam Haber, and Amir
Bar for discussions and suggestions; and especially Oren Forkosh and Walter Senn
for invaluable discussions of the learning rule. This work was supported by European
Research Council Grant 311238 (to E.S.) and Israel Science Foundation Grant 1629/12
(to E.S.); as well as research support from Martin Kushner Schnur and Mr. and Mrs.
Lawrence Feis (E.S.); National Institute of Mental Health Grant R01MH109180 (to
R.K.); a Pew Scholarship in Biomedical Sciences (to R.K.); Simons Collaboration
on the Global Brain Grant 542997 (to R.K. and E.S.); and a CRCNS (Collaborative
Research in Computational Neuroscience) grant (to R.K. and E.S.).
article_processing_charge: No
article_type: original
author:
- first_name: Ori
full_name: Maoz, Ori
last_name: Maoz
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
- first_name: Mohamad Saleh
full_name: Esteki, Mohamad Saleh
last_name: Esteki
- first_name: Roozbeh
full_name: Kiani, Roozbeh
last_name: Kiani
- first_name: Elad
full_name: Schneidman, Elad
last_name: Schneidman
citation:
ama: Maoz O, Tkačik G, Esteki MS, Kiani R, Schneidman E. Learning probabilistic
neural representations with randomly connected circuits. Proceedings of the
National Academy of Sciences of the United States of America. 2020;117(40):25066-25073.
doi:10.1073/pnas.1912804117
apa: Maoz, O., Tkačik, G., Esteki, M. S., Kiani, R., & Schneidman, E. (2020).
Learning probabilistic neural representations with randomly connected circuits.
Proceedings of the National Academy of Sciences of the United States of America.
National Academy of Sciences. https://doi.org/10.1073/pnas.1912804117
chicago: Maoz, Ori, Gašper Tkačik, Mohamad Saleh Esteki, Roozbeh Kiani, and Elad
Schneidman. “Learning Probabilistic Neural Representations with Randomly Connected
Circuits.” Proceedings of the National Academy of Sciences of the United States
of America. National Academy of Sciences, 2020. https://doi.org/10.1073/pnas.1912804117.
ieee: O. Maoz, G. Tkačik, M. S. Esteki, R. Kiani, and E. Schneidman, “Learning probabilistic
neural representations with randomly connected circuits,” Proceedings of the
National Academy of Sciences of the United States of America, vol. 117, no.
40. National Academy of Sciences, pp. 25066–25073, 2020.
ista: Maoz O, Tkačik G, Esteki MS, Kiani R, Schneidman E. 2020. Learning probabilistic
neural representations with randomly connected circuits. Proceedings of the National
Academy of Sciences of the United States of America. 117(40), 25066–25073.
mla: Maoz, Ori, et al. “Learning Probabilistic Neural Representations with Randomly
Connected Circuits.” Proceedings of the National Academy of Sciences of the
United States of America, vol. 117, no. 40, National Academy of Sciences,
2020, pp. 25066–73, doi:10.1073/pnas.1912804117.
short: O. Maoz, G. Tkačik, M.S. Esteki, R. Kiani, E. Schneidman, Proceedings of
the National Academy of Sciences of the United States of America 117 (2020) 25066–25073.
date_created: 2020-10-25T23:01:16Z
date_published: 2020-10-06T00:00:00Z
date_updated: 2023-08-22T12:11:23Z
day: '06'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1073/pnas.1912804117
external_id:
isi:
- '000579045200012'
pmid:
- '32948691'
file:
- access_level: open_access
checksum: c6a24fdecf3f28faf447078e7a274a88
content_type: application/pdf
creator: cziletti
date_created: 2020-10-27T14:57:50Z
date_updated: 2020-10-27T14:57:50Z
file_id: '8713'
file_name: 2020_PNAS_Maoz.pdf
file_size: 1755359
relation: main_file
success: 1
file_date_updated: 2020-10-27T14:57:50Z
has_accepted_license: '1'
intvolume: ' 117'
isi: 1
issue: '40'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '10'
oa: 1
oa_version: Published Version
page: 25066-25073
pmid: 1
publication: Proceedings of the National Academy of Sciences of the United States
of America
publication_identifier:
eissn:
- '10916490'
issn:
- '00278424'
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: Learning probabilistic neural representations with randomly connected circuits
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 117
year: '2020'
...
---
_id: '8699'
abstract:
- lang: eng
text: In the high spin–orbit-coupled Sr2IrO4, the high sensitivity of the ground
state to the details of the local lattice structure shows a large potential for
the manipulation of the functional properties by inducing local lattice distortions.
We use epitaxial strain to modify the Ir–O bond geometry in Sr2IrO4 and perform
momentum-dependent resonant inelastic X-ray scattering (RIXS) at the metal and
at the ligand sites to unveil the response of the low-energy elementary excitations.
We observe that the pseudospin-wave dispersion for tensile-strained Sr2IrO4 films
displays large softening along the [h,0] direction, while along the [h,h] direction
it shows hardening. This evolution reveals a renormalization of the magnetic interactions
caused by a strain-driven cross-over from anisotropic to isotropic interactions
between the magnetic moments. Moreover, we detect dispersive electron–hole pair
excitations which shift to lower (higher) energies upon compressive (tensile)
strain, manifesting a reduction (increase) in the size of the charge gap. This
behavior shows an intimate coupling between charge excitations and lattice distortions
in Sr2IrO4, originating from the modified hopping elements between the t2g orbitals.
Our work highlights the central role played by the lattice degrees of freedom
in determining both the pseudospin and charge excitations of Sr2IrO4 and provides
valuable information toward the control of the ground state of complex oxides
in the presence of high spin–orbit coupling.
acknowledgement: 'We gratefully acknowledge C. Sahle for experimental support at the
ID20 beamline of the ESRF. The soft X-ray experiments were carried out at the ADRESS
beamline of the Swiss Light Source, Paul Scherrer Institut (PSI). E. Paris and T.S.
thank X. Lu and C. Monney for valuable discussions. The work at PSI is supported
by the Swiss National Science Foundation (SNSF) through Project 200021_178867, the
NCCR (National Centre of Competence in Research) MARVEL (Materials’ Revolution:
Computational Design and Discovery of Novel Materials) and the Sinergia network
Mott Physics Beyond the Heisenberg Model (MPBH) (SNSF Research Grants CRSII2_160765/1
and CRSII2_141962). K.W. acknowledges support by the Narodowe Centrum Nauki Projects
2016/22/E/ST3/00560 and 2016/23/B/ST3/00839. E.M.P. and M.N. acknowledge funding
from the European Union’s Horizon 2020 research and innovation programme under the
Marie Sklodowska-Curie Grant Agreements 754411 and 701647, respectively. M.R. was
supported by the Swiss National Science Foundation under Project 200021 – 182695.
This research used resources of the APS, a U.S. Department of Energy (DOE) Office
of Science User Facility operated for the DOE Office of Science by Argonne National
Laboratory under Contract DE-AC02-06CH11357.'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Eugenio
full_name: Paris, Eugenio
last_name: Paris
- first_name: Yi
full_name: Tseng, Yi
last_name: Tseng
- first_name: Ekaterina
full_name: Paerschke, Ekaterina
id: 8275014E-6063-11E9-9B7F-6338E6697425
last_name: Paerschke
orcid: 0000-0003-0853-8182
- first_name: Wenliang
full_name: Zhang, Wenliang
last_name: Zhang
- first_name: Mary H
full_name: Upton, Mary H
last_name: Upton
- first_name: Anna
full_name: Efimenko, Anna
last_name: Efimenko
- first_name: Katharina
full_name: Rolfs, Katharina
last_name: Rolfs
- first_name: Daniel E
full_name: McNally, Daniel E
last_name: McNally
- first_name: Laura
full_name: Maurel, Laura
last_name: Maurel
- first_name: Muntaser
full_name: Naamneh, Muntaser
last_name: Naamneh
- first_name: Marco
full_name: Caputo, Marco
last_name: Caputo
- first_name: Vladimir N
full_name: Strocov, Vladimir N
last_name: Strocov
- first_name: Zhiming
full_name: Wang, Zhiming
last_name: Wang
- first_name: Diego
full_name: Casa, Diego
last_name: Casa
- first_name: Christof W
full_name: Schneider, Christof W
last_name: Schneider
- first_name: Ekaterina
full_name: Pomjakushina, Ekaterina
last_name: Pomjakushina
- first_name: Krzysztof
full_name: Wohlfeld, Krzysztof
last_name: Wohlfeld
- first_name: Milan
full_name: Radovic, Milan
last_name: Radovic
- first_name: Thorsten
full_name: Schmitt, Thorsten
last_name: Schmitt
citation:
ama: Paris E, Tseng Y, Paerschke E, et al. Strain engineering of the charge and
spin-orbital interactions in Sr2IrO4. Proceedings of the National Academy of
Sciences of the United States of America. 2020;117(40):24764-24770. doi:10.1073/pnas.2012043117
apa: Paris, E., Tseng, Y., Paerschke, E., Zhang, W., Upton, M. H., Efimenko, A.,
… Schmitt, T. (2020). Strain engineering of the charge and spin-orbital interactions
in Sr2IrO4. Proceedings of the National Academy of Sciences of the United States
of America. National Academy of Sciences. https://doi.org/10.1073/pnas.2012043117
chicago: Paris, Eugenio, Yi Tseng, Ekaterina Paerschke, Wenliang Zhang, Mary H Upton,
Anna Efimenko, Katharina Rolfs, et al. “Strain Engineering of the Charge and Spin-Orbital
Interactions in Sr2IrO4.” Proceedings of the National Academy of Sciences of
the United States of America. National Academy of Sciences, 2020. https://doi.org/10.1073/pnas.2012043117.
ieee: E. Paris et al., “Strain engineering of the charge and spin-orbital
interactions in Sr2IrO4,” Proceedings of the National Academy of Sciences of
the United States of America, vol. 117, no. 40. National Academy of Sciences,
pp. 24764–24770, 2020.
ista: Paris E, Tseng Y, Paerschke E, Zhang W, Upton MH, Efimenko A, Rolfs K, McNally
DE, Maurel L, Naamneh M, Caputo M, Strocov VN, Wang Z, Casa D, Schneider CW, Pomjakushina
E, Wohlfeld K, Radovic M, Schmitt T. 2020. Strain engineering of the charge and
spin-orbital interactions in Sr2IrO4. Proceedings of the National Academy of Sciences
of the United States of America. 117(40), 24764–24770.
mla: Paris, Eugenio, et al. “Strain Engineering of the Charge and Spin-Orbital Interactions
in Sr2IrO4.” Proceedings of the National Academy of Sciences of the United
States of America, vol. 117, no. 40, National Academy of Sciences, 2020, pp.
24764–70, doi:10.1073/pnas.2012043117.
short: E. Paris, Y. Tseng, E. Paerschke, W. Zhang, M.H. Upton, A. Efimenko, K. Rolfs,
D.E. McNally, L. Maurel, M. Naamneh, M. Caputo, V.N. Strocov, Z. Wang, D. Casa,
C.W. Schneider, E. Pomjakushina, K. Wohlfeld, M. Radovic, T. Schmitt, Proceedings
of the National Academy of Sciences of the United States of America 117 (2020)
24764–24770.
date_created: 2020-10-25T23:01:17Z
date_published: 2020-10-06T00:00:00Z
date_updated: 2023-08-22T12:11:52Z
day: '06'
ddc:
- '530'
department:
- _id: MiLe
doi: 10.1073/pnas.2012043117
ec_funded: 1
external_id:
arxiv:
- '2009.12262'
isi:
- '000579059100029'
pmid:
- '32958669'
file:
- access_level: open_access
checksum: 1638fa36b442e2868576c6dd7d6dc505
content_type: application/pdf
creator: cziletti
date_created: 2020-10-28T11:53:12Z
date_updated: 2020-10-28T11:53:12Z
file_id: '8715'
file_name: 2020_PNAS_Paris.pdf
file_size: 1176522
relation: main_file
success: 1
file_date_updated: 2020-10-28T11:53:12Z
has_accepted_license: '1'
intvolume: ' 117'
isi: 1
issue: '40'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 24764-24770
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Proceedings of the National Academy of Sciences of the United States
of America
publication_identifier:
eissn:
- '10916490'
issn:
- '00278424'
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: Strain engineering of the charge and spin-orbital interactions in Sr2IrO4
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 117
year: '2020'
...
---
_id: '8700'
abstract:
- lang: eng
text: Translation termination is a finishing step of protein biosynthesis. The significant
role in this process belongs not only to protein factors of translation termination
but also to the nearest nucleotide environment of stop codons. There are numerous
descriptions of stop codons readthrough, which is due to specific nucleotide sequences
behind them. However, represented data are segmental and don’t explain the mechanism
of the nucleotide context influence on translation termination. It is well known
that stop codon UAA usage is preferential for A/T-rich genes, and UAG, UGA—for
G/C-rich genes, which is related to an expression level of these genes. We investigated
the connection between a frequency of nucleotides occurrence in 3' area of stop
codons in the human genome and their influence on translation termination efficiency.
We found that 3' context motif, which is cognate to the sequence of a stop codon,
stimulates translation termination. At the same time, the nucleotide composition
of 3' sequence that differs from stop codon, decreases translation termination
efficiency.
acknowledgement: We would like to thank the staff of CCU Genome for sequencing, Tat’yana
Pestova, Christopher Helen, and Lyudmila Yur’evna Frolova for the plasmids provided,
as well as the laboratory staff for productive discussion of the results. We also
thank former laboratory employees Yuliya Vladimirovna Bocharova and Polina Nikolaevna
Kryuchkova for the exceptional contribution to the present work.
article_processing_charge: No
article_type: original
author:
- first_name: E. E.
full_name: Sokolova, E. E.
last_name: Sokolova
- first_name: Petr
full_name: Vlasov, Petr
id: 38BB9AC4-F248-11E8-B48F-1D18A9856A87
last_name: Vlasov
- first_name: T. V.
full_name: Egorova, T. V.
last_name: Egorova
- first_name: A. V.
full_name: Shuvalov, A. V.
last_name: Shuvalov
- first_name: E. Z.
full_name: Alkalaeva, E. Z.
last_name: Alkalaeva
citation:
ama: Sokolova EE, Vlasov P, Egorova TV, Shuvalov AV, Alkalaeva EZ. The influence
of A/G composition of 3’ stop codon contexts on translation termination efficiency
in eukaryotes. Molecular Biology. 2020;54(5):739-748. doi:10.1134/S0026893320050088
apa: Sokolova, E. E., Vlasov, P., Egorova, T. V., Shuvalov, A. V., & Alkalaeva,
E. Z. (2020). The influence of A/G composition of 3’ stop codon contexts on translation
termination efficiency in eukaryotes. Molecular Biology. Springer Nature.
https://doi.org/10.1134/S0026893320050088
chicago: Sokolova, E. E., Petr Vlasov, T. V. Egorova, A. V. Shuvalov, and E. Z.
Alkalaeva. “The Influence of A/G Composition of 3’ Stop Codon Contexts on Translation
Termination Efficiency in Eukaryotes.” Molecular Biology. Springer Nature,
2020. https://doi.org/10.1134/S0026893320050088.
ieee: E. E. Sokolova, P. Vlasov, T. V. Egorova, A. V. Shuvalov, and E. Z. Alkalaeva,
“The influence of A/G composition of 3’ stop codon contexts on translation termination
efficiency in eukaryotes,” Molecular Biology, vol. 54, no. 5. Springer
Nature, pp. 739–748, 2020.
ista: Sokolova EE, Vlasov P, Egorova TV, Shuvalov AV, Alkalaeva EZ. 2020. The influence
of A/G composition of 3’ stop codon contexts on translation termination efficiency
in eukaryotes. Molecular Biology. 54(5), 739–748.
mla: Sokolova, E. E., et al. “The Influence of A/G Composition of 3’ Stop Codon
Contexts on Translation Termination Efficiency in Eukaryotes.” Molecular Biology,
vol. 54, no. 5, Springer Nature, 2020, pp. 739–48, doi:10.1134/S0026893320050088.
short: E.E. Sokolova, P. Vlasov, T.V. Egorova, A.V. Shuvalov, E.Z. Alkalaeva, Molecular
Biology 54 (2020) 739–748.
date_created: 2020-10-25T23:01:17Z
date_published: 2020-09-01T00:00:00Z
date_updated: 2023-08-22T10:39:38Z
day: '01'
department:
- _id: FyKo
doi: 10.1134/S0026893320050088
external_id:
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- '000579441200009'
intvolume: ' 54'
isi: 1
issue: '5'
language:
- iso: eng
month: '09'
oa_version: None
page: 739-748
publication: Molecular Biology
publication_identifier:
eissn:
- '16083245'
issn:
- '00268933'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '8701'
relation: original
status: public
scopus_import: '1'
status: public
title: The influence of A/G composition of 3' stop codon contexts on translation termination
efficiency in eukaryotes
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 54
year: '2020'
...
---
_id: '8701'
abstract:
- lang: eng
text: Translation termination is a finishing step of protein biosynthesis. The significant
role in this process belongs not only to protein factors of translation termination
but also to the nearest nucleotide environment of stop codons. There are numerous
descriptions of stop codons readthrough, which is due to specific nucleotide sequences
behind them. However, represented data are segmental and don’t explain the mechanism
of the nucleotide context influence on translation termination. It is well known
that stop codon UAA usage is preferential for A/T-rich genes, and UAG, UGA—for
G/C-rich genes, which is related to an expression level of these genes. We investigated
the connection between a frequency of nucleotides occurrence in 3' area of stop
codons in the human genome and their influence on translation termination efficiency.
We found that 3' context motif, which is cognate to the sequence of a stop codon,
stimulates translation termination. At the same time, the nucleotide composition
of 3' sequence that differs from stop codon, decreases translation termination
efficiency.
article_processing_charge: No
article_type: original
author:
- first_name: E. E.
full_name: Sokolova, E. E.
last_name: Sokolova
- first_name: Petr
full_name: Vlasov, Petr
id: 38BB9AC4-F248-11E8-B48F-1D18A9856A87
last_name: Vlasov
- first_name: T. V.
full_name: Egorova, T. V.
last_name: Egorova
- first_name: A. V.
full_name: Shuvalov, A. V.
last_name: Shuvalov
- first_name: E. Z.
full_name: Alkalaeva, E. Z.
last_name: Alkalaeva
citation:
ama: Sokolova EE, Vlasov P, Egorova TV, Shuvalov AV, Alkalaeva EZ. The influence
of A/G composition of 3’ stop codon contexts on translation termination efficiency
in eukaryotes. Molekuliarnaia biologiia. 2020;54(5):837-848. doi:10.31857/S0026898420050080
apa: Sokolova, E. E., Vlasov, P., Egorova, T. V., Shuvalov, A. V., & Alkalaeva,
E. Z. (2020). The influence of A/G composition of 3’ stop codon contexts on translation
termination efficiency in eukaryotes. Molekuliarnaia biologiia. Russian
Academy of Sciences. https://doi.org/10.31857/S0026898420050080
chicago: Sokolova, E. E., Petr Vlasov, T. V. Egorova, A. V. Shuvalov, and E. Z.
Alkalaeva. “The influence of A/G composition of 3’ stop codon contexts on translation
termination efficiency in eukaryotes.” Molekuliarnaia biologiia. Russian
Academy of Sciences, 2020. https://doi.org/10.31857/S0026898420050080.
ieee: E. E. Sokolova, P. Vlasov, T. V. Egorova, A. V. Shuvalov, and E. Z. Alkalaeva,
“The influence of A/G composition of 3’ stop codon contexts on translation termination
efficiency in eukaryotes,” Molekuliarnaia biologiia, vol. 54, no. 5. Russian
Academy of Sciences, pp. 837–848, 2020.
ista: Sokolova EE, Vlasov P, Egorova TV, Shuvalov AV, Alkalaeva EZ. 2020. The influence
of A/G composition of 3’ stop codon contexts on translation termination efficiency
in eukaryotes. Molekuliarnaia biologiia. 54(5), 837–848.
mla: Sokolova, E. E., et al. “The influence of A/G composition of 3’ stop codon
contexts on translation termination efficiency in eukaryotes.” Molekuliarnaia
biologiia, vol. 54, no. 5, Russian Academy of Sciences, 2020, pp. 837–48,
doi:10.31857/S0026898420050080.
short: E.E. Sokolova, P. Vlasov, T.V. Egorova, A.V. Shuvalov, E.Z. Alkalaeva, Molekuliarnaia
biologiia 54 (2020) 837–848.
date_created: 2020-10-25T23:01:17Z
date_published: 2020-09-01T00:00:00Z
date_updated: 2023-08-22T10:39:37Z
day: '01'
department:
- _id: FyKo
doi: 10.31857/S0026898420050080
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- '33009793'
intvolume: ' 54'
issue: '5'
language:
- iso: rus
month: '09'
oa_version: None
page: 837-848
pmid: 1
publication: Molekuliarnaia biologiia
publication_identifier:
issn:
- '00268984'
publication_status: published
publisher: Russian Academy of Sciences
quality_controlled: '1'
related_material:
record:
- id: '8700'
relation: translation
status: public
scopus_import: '1'
status: public
title: The influence of A/G composition of 3' stop codon contexts on translation termination
efficiency in eukaryotes
type: journal_article
user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 54
year: '2020'
...