---
_id: '7422'
abstract:
- lang: eng
text: Biochemical reactions often occur at low copy numbers but at once in crowded
and diverse environments. Space and stochasticity therefore play an essential
role in biochemical networks. Spatial-stochastic simulations have become a prominent
tool for understanding how stochasticity at the microscopic level influences the
macroscopic behavior of such systems. While particle-based models guarantee the
level of detail necessary to accurately describe the microscopic dynamics at very
low copy numbers, the algorithms used to simulate them typically imply trade-offs
between computational efficiency and biochemical accuracy. eGFRD (enhanced Green’s
Function Reaction Dynamics) is an exact algorithm that evades such trade-offs
by partitioning the N-particle system into M ≤ N analytically tractable one- and
two-particle systems; the analytical solutions (Green’s functions) then are used
to implement an event-driven particle-based scheme that allows particles to make
large jumps in time and space while retaining access to their state variables
at arbitrary simulation times. Here we present “eGFRD2,” a new eGFRD version that
implements the principle of eGFRD in all dimensions, thus enabling efficient particle-based
simulation of biochemical reaction-diffusion processes in the 3D cytoplasm, on
2D planes representing membranes, and on 1D elongated cylinders representative
of, e.g., cytoskeletal tracks or DNA; in 1D, it also incorporates convective motion
used to model active transport. We find that, for low particle densities, eGFRD2
is up to 6 orders of magnitude faster than conventional Brownian dynamics. We
exemplify the capabilities of eGFRD2 by simulating an idealized model of Pom1
gradient formation, which involves 3D diffusion, active transport on microtubules,
and autophosphorylation on the membrane, confirming recent experimental and theoretical
results on this system to hold under genuinely stochastic conditions.
article_number: '054108'
article_processing_charge: No
article_type: original
author:
- first_name: Thomas R
full_name: Sokolowski, Thomas R
id: 3E999752-F248-11E8-B48F-1D18A9856A87
last_name: Sokolowski
orcid: 0000-0002-1287-3779
- first_name: Joris
full_name: Paijmans, Joris
last_name: Paijmans
- first_name: Laurens
full_name: Bossen, Laurens
last_name: Bossen
- first_name: Thomas
full_name: Miedema, Thomas
last_name: Miedema
- first_name: Martijn
full_name: Wehrens, Martijn
last_name: Wehrens
- first_name: Nils B.
full_name: Becker, Nils B.
last_name: Becker
- first_name: Kazunari
full_name: Kaizu, Kazunari
last_name: Kaizu
- first_name: Koichi
full_name: Takahashi, Koichi
last_name: Takahashi
- first_name: Marileen
full_name: Dogterom, Marileen
last_name: Dogterom
- first_name: Pieter Rein
full_name: ten Wolde, Pieter Rein
last_name: ten Wolde
citation:
ama: Sokolowski TR, Paijmans J, Bossen L, et al. eGFRD in all dimensions. The
Journal of Chemical Physics. 2019;150(5). doi:10.1063/1.5064867
apa: Sokolowski, T. R., Paijmans, J., Bossen, L., Miedema, T., Wehrens, M., Becker,
N. B., … ten Wolde, P. R. (2019). eGFRD in all dimensions. The Journal of Chemical
Physics. AIP Publishing. https://doi.org/10.1063/1.5064867
chicago: Sokolowski, Thomas R, Joris Paijmans, Laurens Bossen, Thomas Miedema, Martijn
Wehrens, Nils B. Becker, Kazunari Kaizu, Koichi Takahashi, Marileen Dogterom,
and Pieter Rein ten Wolde. “EGFRD in All Dimensions.” The Journal of Chemical
Physics. AIP Publishing, 2019. https://doi.org/10.1063/1.5064867.
ieee: T. R. Sokolowski et al., “eGFRD in all dimensions,” The Journal
of Chemical Physics, vol. 150, no. 5. AIP Publishing, 2019.
ista: Sokolowski TR, Paijmans J, Bossen L, Miedema T, Wehrens M, Becker NB, Kaizu
K, Takahashi K, Dogterom M, ten Wolde PR. 2019. eGFRD in all dimensions. The Journal
of Chemical Physics. 150(5), 054108.
mla: Sokolowski, Thomas R., et al. “EGFRD in All Dimensions.” The Journal of
Chemical Physics, vol. 150, no. 5, 054108, AIP Publishing, 2019, doi:10.1063/1.5064867.
short: T.R. Sokolowski, J. Paijmans, L. Bossen, T. Miedema, M. Wehrens, N.B. Becker,
K. Kaizu, K. Takahashi, M. Dogterom, P.R. ten Wolde, The Journal of Chemical Physics
150 (2019).
date_created: 2020-01-30T10:34:36Z
date_published: 2019-02-07T00:00:00Z
date_updated: 2023-09-06T14:59:28Z
day: '07'
department:
- _id: GaTk
doi: 10.1063/1.5064867
external_id:
arxiv:
- '1708.09364'
isi:
- '000458109300009'
intvolume: ' 150'
isi: 1
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1708.09364
month: '02'
oa: 1
oa_version: Preprint
publication: The Journal of Chemical Physics
publication_identifier:
eissn:
- 1089-7690
issn:
- 0021-9606
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
status: public
title: eGFRD in all dimensions
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 150
year: '2019'
...
---
_id: '6900'
abstract:
- lang: eng
text: Across diverse biological systems—ranging from neural networks to intracellular
signaling and genetic regulatory networks—the information about changes in the
environment is frequently encoded in the full temporal dynamics of the network
nodes. A pressing data-analysis challenge has thus been to efficiently estimate
the amount of information that these dynamics convey from experimental data. Here
we develop and evaluate decoding-based estimation methods to lower bound the mutual
information about a finite set of inputs, encoded in single-cell high-dimensional
time series data. For biological reaction networks governed by the chemical Master
equation, we derive model-based information approximations and analytical upper
bounds, against which we benchmark our proposed model-free decoding estimators.
In contrast to the frequently-used k-nearest-neighbor estimator, decoding-based
estimators robustly extract a large fraction of the available information from
high-dimensional trajectories with a realistic number of data samples. We apply
these estimators to previously published data on Erk and Ca2+ signaling in mammalian
cells and to yeast stress-response, and find that substantial amount of information
about environmental state can be encoded by non-trivial response statistics even
in stationary signals. We argue that these single-cell, decoding-based information
estimates, rather than the commonly-used tests for significant differences between
selected population response statistics, provide a proper and unbiased measure
for the performance of biological signaling networks.
article_processing_charge: No
author:
- first_name: Sarah A
full_name: Cepeda Humerez, Sarah A
id: 3DEE19A4-F248-11E8-B48F-1D18A9856A87
last_name: Cepeda Humerez
- first_name: Jakob
full_name: Ruess, Jakob
last_name: Ruess
orcid: 0000-0003-1615-3282
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
citation:
ama: Cepeda Humerez SA, Ruess J, Tkačik G. Estimating information in time-varying
signals. PLoS computational biology. 2019;15(9):e1007290. doi:10.1371/journal.pcbi.1007290
apa: Cepeda Humerez, S. A., Ruess, J., & Tkačik, G. (2019). Estimating information
in time-varying signals. PLoS Computational Biology. Public Library of
Science. https://doi.org/10.1371/journal.pcbi.1007290
chicago: Cepeda Humerez, Sarah A, Jakob Ruess, and Gašper Tkačik. “Estimating Information
in Time-Varying Signals.” PLoS Computational Biology. Public Library of
Science, 2019. https://doi.org/10.1371/journal.pcbi.1007290.
ieee: S. A. Cepeda Humerez, J. Ruess, and G. Tkačik, “Estimating information in
time-varying signals,” PLoS computational biology, vol. 15, no. 9. Public
Library of Science, p. e1007290, 2019.
ista: Cepeda Humerez SA, Ruess J, Tkačik G. 2019. Estimating information in time-varying
signals. PLoS computational biology. 15(9), e1007290.
mla: Cepeda Humerez, Sarah A., et al. “Estimating Information in Time-Varying Signals.”
PLoS Computational Biology, vol. 15, no. 9, Public Library of Science,
2019, p. e1007290, doi:10.1371/journal.pcbi.1007290.
short: S.A. Cepeda Humerez, J. Ruess, G. Tkačik, PLoS Computational Biology 15 (2019)
e1007290.
date_created: 2019-09-22T22:00:37Z
date_published: 2019-09-03T00:00:00Z
date_updated: 2023-09-07T12:55:21Z
day: '03'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1007290
external_id:
isi:
- '000489741800021'
pmid:
- '31479447'
file:
- access_level: open_access
checksum: 81bdce1361c9aa8395d6fa635fb6ab47
content_type: application/pdf
creator: kschuh
date_created: 2019-10-01T10:53:45Z
date_updated: 2020-07-14T12:47:44Z
file_id: '6925'
file_name: 2019_PLoS_Cepeda-Humerez.pdf
file_size: 3081855
relation: main_file
file_date_updated: 2020-07-14T12:47:44Z
has_accepted_license: '1'
intvolume: ' 15'
isi: 1
issue: '9'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '09'
oa: 1
oa_version: Published Version
page: e1007290
pmid: 1
project:
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: PLoS computational biology
publication_identifier:
eissn:
- '15537358'
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
related_material:
record:
- id: '6473'
relation: part_of_dissertation
status: public
scopus_import: '1'
status: public
title: Estimating information in time-varying signals
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 15
year: '2019'
...
---
_id: '196'
abstract:
- lang: eng
text: 'The abelian sandpile serves as a model to study self-organized criticality,
a phenomenon occurring in biological, physical and social processes. The identity
of the abelian group is a fractal composed of self-similar patches, and its limit
is subject of extensive collaborative research. Here, we analyze the evolution
of the sandpile identity under harmonic fields of different orders. We show that
this evolution corresponds to periodic cycles through the abelian group characterized
by the smooth transformation and apparent conservation of the patches constituting
the identity. The dynamics induced by second and third order harmonics resemble
smooth stretchings, respectively translations, of the identity, while the ones
induced by fourth order harmonics resemble magnifications and rotations. Starting
with order three, the dynamics pass through extended regions of seemingly random
configurations which spontaneously reassemble into accentuated patterns. We show
that the space of harmonic functions projects to the extended analogue of the
sandpile group, thus providing a set of universal coordinates identifying configurations
between different domains. Since the original sandpile group is a subgroup of
the extended one, this directly implies that it admits a natural renormalization.
Furthermore, we show that the harmonic fields can be induced by simple Markov
processes, and that the corresponding stochastic dynamics show remarkable robustness
over hundreds of periods. Finally, we encode information into seemingly random
configurations, and decode this information with an algorithm requiring minimal
prior knowledge. Our results suggest that harmonic fields might split the sandpile
group into sub-sets showing different critical coefficients, and that it might
be possible to extend the fractal structure of the identity beyond the boundaries
of its domain. '
acknowledgement: "M.L. is grateful to the members of the C Guet and G Tkacik groups
for valuable comments and support. M.S. is grateful to Nikita Kalinin for inspiring
communications.\r\n"
article_processing_charge: No
article_type: original
author:
- first_name: Moritz
full_name: Lang, Moritz
id: 29E0800A-F248-11E8-B48F-1D18A9856A87
last_name: Lang
- first_name: Mikhail
full_name: Shkolnikov, Mikhail
id: 35084A62-F248-11E8-B48F-1D18A9856A87
last_name: Shkolnikov
orcid: 0000-0002-4310-178X
citation:
ama: Lang M, Shkolnikov M. Harmonic dynamics of the Abelian sandpile. Proceedings
of the National Academy of Sciences. 2019;116(8):2821-2830. doi:10.1073/pnas.1812015116
apa: Lang, M., & Shkolnikov, M. (2019). Harmonic dynamics of the Abelian sandpile.
Proceedings of the National Academy of Sciences. National Academy of Sciences.
https://doi.org/10.1073/pnas.1812015116
chicago: Lang, Moritz, and Mikhail Shkolnikov. “Harmonic Dynamics of the Abelian
Sandpile.” Proceedings of the National Academy of Sciences. National Academy
of Sciences, 2019. https://doi.org/10.1073/pnas.1812015116.
ieee: M. Lang and M. Shkolnikov, “Harmonic dynamics of the Abelian sandpile,” Proceedings
of the National Academy of Sciences, vol. 116, no. 8. National Academy of
Sciences, pp. 2821–2830, 2019.
ista: Lang M, Shkolnikov M. 2019. Harmonic dynamics of the Abelian sandpile. Proceedings
of the National Academy of Sciences. 116(8), 2821–2830.
mla: Lang, Moritz, and Mikhail Shkolnikov. “Harmonic Dynamics of the Abelian Sandpile.”
Proceedings of the National Academy of Sciences, vol. 116, no. 8, National
Academy of Sciences, 2019, pp. 2821–30, doi:10.1073/pnas.1812015116.
short: M. Lang, M. Shkolnikov, Proceedings of the National Academy of Sciences 116
(2019) 2821–2830.
date_created: 2018-12-11T11:45:08Z
date_published: 2019-02-19T00:00:00Z
date_updated: 2023-09-11T14:09:34Z
day: '19'
department:
- _id: CaGu
- _id: GaTk
- _id: TaHa
doi: 10.1073/pnas.1812015116
external_id:
arxiv:
- '1806.10823'
isi:
- '000459074400013'
pmid:
- ' 30728300'
intvolume: ' 116'
isi: 1
issue: '8'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1073/pnas.1812015116
month: '02'
oa: 1
oa_version: Published Version
page: 2821-2830
pmid: 1
publication: Proceedings of the National Academy of Sciences
publication_identifier:
eissn:
- 1091-6490
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
related_material:
link:
- description: News on IST Webpage
relation: press_release
url: https://ist.ac.at/en/news/famous-sandpile-model-shown-to-move-like-a-traveling-sand-dune/
scopus_import: '1'
status: public
title: Harmonic dynamics of the Abelian sandpile
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 116
year: '2019'
...
---
_id: '5817'
abstract:
- lang: eng
text: We theoretically study the shapes of lipid vesicles confined to a spherical
cavity, elaborating a framework based on the so-called limiting shapes constructed
from geometrically simple structural elements such as double-membrane walls and
edges. Partly inspired by numerical results, the proposed non-compartmentalized
and compartmentalized limiting shapes are arranged in the bilayer-couple phase
diagram which is then compared to its free-vesicle counterpart. We also compute
the area-difference-elasticity phase diagram of the limiting shapes and we use
it to interpret shape transitions experimentally observed in vesicles confined
within another vesicle. The limiting-shape framework may be generalized to theoretically
investigate the structure of certain cell organelles such as the mitochondrion.
article_processing_charge: No
article_type: original
author:
- first_name: Bor
full_name: Kavcic, Bor
id: 350F91D2-F248-11E8-B48F-1D18A9856A87
last_name: Kavcic
orcid: 0000-0001-6041-254X
- first_name: A.
full_name: Sakashita, A.
last_name: Sakashita
- first_name: H.
full_name: Noguchi, H.
last_name: Noguchi
- first_name: P.
full_name: Ziherl, P.
last_name: Ziherl
citation:
ama: Kavcic B, Sakashita A, Noguchi H, Ziherl P. Limiting shapes of confined lipid
vesicles. Soft Matter. 2019;15(4):602-614. doi:10.1039/c8sm01956h
apa: Kavcic, B., Sakashita, A., Noguchi, H., & Ziherl, P. (2019). Limiting shapes
of confined lipid vesicles. Soft Matter. Royal Society of Chemistry. https://doi.org/10.1039/c8sm01956h
chicago: Kavcic, Bor, A. Sakashita, H. Noguchi, and P. Ziherl. “Limiting Shapes
of Confined Lipid Vesicles.” Soft Matter. Royal Society of Chemistry, 2019.
https://doi.org/10.1039/c8sm01956h.
ieee: B. Kavcic, A. Sakashita, H. Noguchi, and P. Ziherl, “Limiting shapes of confined
lipid vesicles,” Soft Matter, vol. 15, no. 4. Royal Society of Chemistry,
pp. 602–614, 2019.
ista: Kavcic B, Sakashita A, Noguchi H, Ziherl P. 2019. Limiting shapes of confined
lipid vesicles. Soft Matter. 15(4), 602–614.
mla: Kavcic, Bor, et al. “Limiting Shapes of Confined Lipid Vesicles.” Soft Matter,
vol. 15, no. 4, Royal Society of Chemistry, 2019, pp. 602–14, doi:10.1039/c8sm01956h.
short: B. Kavcic, A. Sakashita, H. Noguchi, P. Ziherl, Soft Matter 15 (2019) 602–614.
date_created: 2019-01-11T07:37:47Z
date_published: 2019-01-10T00:00:00Z
date_updated: 2023-09-13T08:47:16Z
day: '10'
ddc:
- '530'
department:
- _id: GaTk
doi: 10.1039/c8sm01956h
external_id:
isi:
- '000457329700003'
pmid:
- '30629082'
file:
- access_level: open_access
checksum: 614c337d6424ccd3d48d1b1f9513510d
content_type: application/pdf
creator: bkavcic
date_created: 2020-10-09T11:00:05Z
date_updated: 2020-10-09T11:00:05Z
file_id: '8641'
file_name: lmt_sftmtr_V8.pdf
file_size: 5370762
relation: main_file
success: 1
file_date_updated: 2020-10-09T11:00:05Z
has_accepted_license: '1'
intvolume: ' 15'
isi: 1
issue: '4'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/3.0/
month: '01'
oa: 1
oa_version: Submitted Version
page: 602-614
pmid: 1
publication: Soft Matter
publication_identifier:
eissn:
- 1744-6848
issn:
- 1744-683X
publication_status: published
publisher: Royal Society of Chemistry
quality_controlled: '1'
scopus_import: '1'
status: public
title: Limiting shapes of confined lipid vesicles
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND
3.0)
short: CC BY-NC-ND (3.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 15
year: '2019'
...
---
_id: '6473'
abstract:
- lang: eng
text: "Single cells are constantly interacting with their environment and each other,
more importantly, the accurate perception of environmental cues is crucial for
growth, survival, and reproduction. This communication between cells and their
environment can be formalized in mathematical terms and be quantified as the information
flow between them, as prescribed by information theory. \r\nThe recent availability
of real–time dynamical patterns of signaling molecules in single cells has allowed
us to identify encoding about the identity of the environment in the time–series.
However, efficient estimation of the information transmitted by these signals
has been a data–analysis challenge due to the high dimensionality of the trajectories
and the limited number of samples. In the first part of this thesis, we develop
and evaluate decoding–based estimation methods to lower bound the mutual information
and derive model–based precise information estimates for biological reaction networks
governed by the chemical master equation. This is followed by applying the decoding-based
methods to study the intracellular representation of extracellular changes in
budding yeast, by observing the transient dynamics of nuclear translocation of
10 transcription factors in response to 3 stress conditions. Additionally, we
apply these estimators to previously published data on ERK and Ca2+ signaling
and yeast stress response. We argue that this single cell decoding-based measure
of information provides an unbiased, quantitative and interpretable measure for
the fidelity of biological signaling processes. \r\nFinally, in the last section,
we deal with gene regulation which is primarily controlled by transcription factors
(TFs) that bind to the DNA to activate gene expression. The possibility that non-cognate
TFs activate transcription diminishes the accuracy of regulation with potentially
disastrous effects for the cell. This ’crosstalk’ acts as a previously unexplored
source of noise in biochemical networks and puts a strong constraint on their
performance. To mitigate erroneous initiation we propose an out of equilibrium
scheme that implements kinetic proofreading. We show that such architectures are
favored over their equilibrium counterparts for complex organisms despite introducing
noise in gene expression. "
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Sarah A
full_name: Cepeda Humerez, Sarah A
id: 3DEE19A4-F248-11E8-B48F-1D18A9856A87
last_name: Cepeda Humerez
citation:
ama: Cepeda Humerez SA. Estimating information flow in single cells. 2019. doi:10.15479/AT:ISTA:6473
apa: Cepeda Humerez, S. A. (2019). Estimating information flow in single cells.
Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:6473
chicago: Cepeda Humerez, Sarah A. “Estimating Information Flow in Single Cells.”
Institute of Science and Technology Austria, 2019. https://doi.org/10.15479/AT:ISTA:6473.
ieee: S. A. Cepeda Humerez, “Estimating information flow in single cells,” Institute
of Science and Technology Austria, 2019.
ista: Cepeda Humerez SA. 2019. Estimating information flow in single cells. Institute
of Science and Technology Austria.
mla: Cepeda Humerez, Sarah A. Estimating Information Flow in Single Cells.
Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6473.
short: S.A. Cepeda Humerez, Estimating Information Flow in Single Cells, Institute
of Science and Technology Austria, 2019.
date_created: 2019-05-21T00:11:23Z
date_published: 2019-05-23T00:00:00Z
date_updated: 2023-09-19T15:13:26Z
day: '23'
ddc:
- '004'
degree_awarded: PhD
department:
- _id: GaTk
doi: 10.15479/AT:ISTA:6473
file:
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date_created: 2019-05-23T11:18:16Z
date_updated: 2020-07-14T12:47:31Z
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file_name: Thesis_Cepeda.zip
file_size: 23937464
relation: source_file
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checksum: afdc0633ddbd71d5b13550d7fb4f4454
content_type: application/pdf
creator: scepeda
date_created: 2019-05-23T11:18:13Z
date_updated: 2020-07-14T12:47:31Z
file_id: '6481'
file_name: CepedaThesis.pdf
file_size: 16646985
relation: main_file
file_date_updated: 2020-07-14T12:47:31Z
has_accepted_license: '1'
keyword:
- Information estimation
- Time-series
- data analysis
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: '135'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '1576'
relation: dissertation_contains
status: public
- id: '6900'
relation: dissertation_contains
status: public
- id: '281'
relation: dissertation_contains
status: public
- id: '2016'
relation: dissertation_contains
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
title: Estimating information flow in single cells
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: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2019'
...
---
_id: '6071'
abstract:
- lang: eng
text: 'Transcription factors, by binding to specific sequences on the DNA, control
the precise spatio-temporal expression of genes inside a cell. However, this specificity
is limited, leading to frequent incorrect binding of transcription factors that
might have deleterious consequences on the cell. By constructing a biophysical
model of TF-DNA binding in the context of gene regulation, I will first explore
how regulatory constraints can strongly shape the distribution of a population
in sequence space. Then, by directly linking this to a picture of multiple types
of transcription factors performing their functions simultaneously inside the
cell, I will explore the extent of regulatory crosstalk -- incorrect binding interactions
between transcription factors and binding sites that lead to erroneous regulatory
states -- and understand the constraints this places on the design of regulatory
systems. I will then develop a generic theoretical framework to investigate the
coevolution of multiple transcription factors and multiple binding sites, in the
context of a gene regulatory network that performs a certain function. As a particular
tractable version of this problem, I will consider the evolution of two transcription
factors when they transmit upstream signals to downstream target genes. Specifically,
I will describe the evolutionary steady states and the evolutionary pathways involved,
along with their timescales, of a system that initially undergoes a transcription
factor duplication event. To connect this important theoretical model to the prominent
biological event of transcription factor duplication giving rise to paralogous
families, I will then describe a bioinformatics analysis of C2H2 Zn-finger transcription
factors, a major family in humans, and focus on the patterns of evolution that
paralogs have undergone in their various protein domains in the recent past. '
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Roshan
full_name: Prizak, Roshan
id: 4456104E-F248-11E8-B48F-1D18A9856A87
last_name: Prizak
citation:
ama: Prizak R. Coevolution of transcription factors and their binding sites in sequence
space. 2019. doi:10.15479/at:ista:th6071
apa: Prizak, R. (2019). Coevolution of transcription factors and their binding
sites in sequence space. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:th6071
chicago: Prizak, Roshan. “Coevolution of Transcription Factors and Their Binding
Sites in Sequence Space.” Institute of Science and Technology Austria, 2019. https://doi.org/10.15479/at:ista:th6071.
ieee: R. Prizak, “Coevolution of transcription factors and their binding sites in
sequence space,” Institute of Science and Technology Austria, 2019.
ista: Prizak R. 2019. Coevolution of transcription factors and their binding sites
in sequence space. Institute of Science and Technology Austria.
mla: Prizak, Roshan. Coevolution of Transcription Factors and Their Binding Sites
in Sequence Space. Institute of Science and Technology Austria, 2019, doi:10.15479/at:ista:th6071.
short: R. Prizak, Coevolution of Transcription Factors and Their Binding Sites in
Sequence Space, Institute of Science and Technology Austria, 2019.
date_created: 2019-03-06T16:16:10Z
date_published: 2019-03-11T00:00:00Z
date_updated: 2023-09-22T10:00:48Z
day: '11'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: GaTk
- _id: NiBa
doi: 10.15479/at:ista:th6071
file:
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checksum: e60a72de35d270b31f1a23d50f224ec0
content_type: application/pdf
creator: rprizak
date_created: 2019-03-06T16:05:07Z
date_updated: 2020-07-14T12:47:18Z
file_id: '6072'
file_name: Thesis_final_PDFA_RoshanPrizak.pdf
file_size: 20995465
relation: main_file
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checksum: 67c2630333d05ebafef5f018863a8465
content_type: application/zip
creator: rprizak
date_created: 2019-03-06T16:09:39Z
date_updated: 2020-07-14T12:47:18Z
file_id: '6073'
file_name: thesis_v2_merge.zip
file_size: 85705272
relation: source_file
title: Latex files
file_date_updated: 2020-07-14T12:47:18Z
has_accepted_license: '1'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: '189'
project:
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '1358'
relation: part_of_dissertation
status: public
- id: '955'
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
title: Coevolution of transcription factors and their binding sites in sequence space
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2019'
...
---
_id: '7103'
abstract:
- lang: eng
text: Origin and functions of intermittent transitions among sleep stages, including
short awakenings and arousals, constitute a challenge to the current homeostatic
framework for sleep regulation, focusing on factors modulating sleep over large
time scales. Here we propose that the complex micro-architecture characterizing
the sleep-wake cycle results from an underlying non-equilibrium critical dynamics,
bridging collective behaviors across spatio-temporal scales. We investigate θ
and δ wave dynamics in control rats and in rats with lesions of sleep-promoting
neurons in the parafacial zone. We demonstrate that intermittent bursts in θ and
δ rhythms exhibit a complex temporal organization, with long-range power-law correlations
and a robust duality of power law (θ-bursts, active phase) and exponential-like
(δ-bursts, quiescent phase) duration distributions, typical features of non-equilibrium
systems self-organizing at criticality. Crucially, such temporal organization
relates to anti-correlated coupling between θ- and δ-bursts, and is independent
of the dominant physiologic state and lesions, a solid indication of a basic principle
in sleep dynamics.
article_number: e1007268
article_processing_charge: No
article_type: original
author:
- first_name: Jilin W. J. L.
full_name: Wang, Jilin W. J. L.
last_name: Wang
- first_name: Fabrizio
full_name: Lombardi, Fabrizio
id: A057D288-3E88-11E9-986D-0CF4E5697425
last_name: Lombardi
orcid: 0000-0003-2623-5249
- first_name: Xiyun
full_name: Zhang, Xiyun
last_name: Zhang
- first_name: Christelle
full_name: Anaclet, Christelle
last_name: Anaclet
- first_name: Plamen Ch.
full_name: Ivanov, Plamen Ch.
last_name: Ivanov
citation:
ama: Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. Non-equilibrium critical
dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and
wake micro-architecture. PLoS Computational Biology. 2019;15(11). doi:10.1371/journal.pcbi.1007268
apa: Wang, J. W. J. L., Lombardi, F., Zhang, X., Anaclet, C., & Ivanov, P. C.
(2019). Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental
characteristic of sleep and wake micro-architecture. PLoS Computational Biology.
Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007268
chicago: Wang, Jilin W. J. L., Fabrizio Lombardi, Xiyun Zhang, Christelle Anaclet,
and Plamen Ch. Ivanov. “Non-Equilibrium Critical Dynamics of Bursts in θ and δ
Rhythms as Fundamental Characteristic of Sleep and Wake Micro-Architecture.” PLoS
Computational Biology. Public Library of Science, 2019. https://doi.org/10.1371/journal.pcbi.1007268.
ieee: J. W. J. L. Wang, F. Lombardi, X. Zhang, C. Anaclet, and P. C. Ivanov, “Non-equilibrium
critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of
sleep and wake micro-architecture,” PLoS Computational Biology, vol. 15,
no. 11. Public Library of Science, 2019.
ista: Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. 2019. Non-equilibrium
critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of
sleep and wake micro-architecture. PLoS Computational Biology. 15(11), e1007268.
mla: Wang, Jilin W. J. L., et al. “Non-Equilibrium Critical Dynamics of Bursts in
θ and δ Rhythms as Fundamental Characteristic of Sleep and Wake Micro-Architecture.”
PLoS Computational Biology, vol. 15, no. 11, e1007268, Public Library of
Science, 2019, doi:10.1371/journal.pcbi.1007268.
short: J.W.J.L. Wang, F. Lombardi, X. Zhang, C. Anaclet, P.C. Ivanov, PLoS Computational
Biology 15 (2019).
date_created: 2019-11-25T08:20:47Z
date_published: 2019-11-01T00:00:00Z
date_updated: 2023-10-17T12:30:07Z
day: '01'
ddc:
- '570'
- '000'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1007268
ec_funded: 1
external_id:
isi:
- '000500976100014'
pmid:
- '31725712'
file:
- access_level: open_access
checksum: 2a096a9c6dcc6eaa94077b2603bc6c12
content_type: application/pdf
creator: dernst
date_created: 2019-11-25T08:24:01Z
date_updated: 2020-07-14T12:47:49Z
file_id: '7104'
file_name: 2019_PLOSComBio_Wang.pdf
file_size: 3982516
relation: main_file
file_date_updated: 2020-07-14T12:47:49Z
has_accepted_license: '1'
intvolume: ' 15'
isi: 1
issue: '11'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: PLoS Computational Biology
publication_identifier:
issn:
- 1553-7358
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental
characteristic of sleep and wake micro-architecture
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 15
year: '2019'
...
---
_id: '6090'
abstract:
- lang: eng
text: Cells need to reliably sense external ligand concentrations to achieve various
biological functions such as chemotaxis or signaling. The molecular recognition
of ligands by surface receptors is degenerate in many systems, leading to crosstalk
between ligand-receptor pairs. Crosstalk is often thought of as a deviation from
optimal specific recognition, as the binding of noncognate ligands can interfere
with the detection of the receptor's cognate ligand, possibly leading to a false
triggering of a downstream signaling pathway. Here we quantify the optimal precision
of sensing the concentrations of multiple ligands by a collection of promiscuous
receptors. We demonstrate that crosstalk can improve precision in concentration
sensing and discrimination tasks. To achieve superior precision, the additional
information about ligand concentrations contained in short binding events of the
noncognate ligand should be exploited. We present a proofreading scheme to realize
an approximate estimation of multiple ligand concentrations that reaches a precision
close to the derived optimal bounds. Our results help rationalize the observed
ubiquity of receptor crosstalk in molecular sensing.
article_number: '022423'
article_processing_charge: No
author:
- first_name: Martín
full_name: Carballo-Pacheco, Martín
last_name: Carballo-Pacheco
- first_name: Jonathan
full_name: Desponds, Jonathan
last_name: Desponds
- first_name: Tatyana
full_name: Gavrilchenko, Tatyana
last_name: Gavrilchenko
- first_name: Andreas
full_name: Mayer, Andreas
last_name: Mayer
- first_name: Roshan
full_name: Prizak, Roshan
id: 4456104E-F248-11E8-B48F-1D18A9856A87
last_name: Prizak
- first_name: Gautam
full_name: Reddy, Gautam
last_name: Reddy
- first_name: Ilya
full_name: Nemenman, Ilya
last_name: Nemenman
- first_name: Thierry
full_name: Mora, Thierry
last_name: Mora
citation:
ama: Carballo-Pacheco M, Desponds J, Gavrilchenko T, et al. Receptor crosstalk improves
concentration sensing of multiple ligands. Physical Review E. 2019;99(2).
doi:10.1103/PhysRevE.99.022423
apa: Carballo-Pacheco, M., Desponds, J., Gavrilchenko, T., Mayer, A., Prizak, R.,
Reddy, G., … Mora, T. (2019). Receptor crosstalk improves concentration sensing
of multiple ligands. Physical Review E. American Physical Society. https://doi.org/10.1103/PhysRevE.99.022423
chicago: Carballo-Pacheco, Martín, Jonathan Desponds, Tatyana Gavrilchenko, Andreas
Mayer, Roshan Prizak, Gautam Reddy, Ilya Nemenman, and Thierry Mora. “Receptor
Crosstalk Improves Concentration Sensing of Multiple Ligands.” Physical Review
E. American Physical Society, 2019. https://doi.org/10.1103/PhysRevE.99.022423.
ieee: M. Carballo-Pacheco et al., “Receptor crosstalk improves concentration
sensing of multiple ligands,” Physical Review E, vol. 99, no. 2. American
Physical Society, 2019.
ista: Carballo-Pacheco M, Desponds J, Gavrilchenko T, Mayer A, Prizak R, Reddy G,
Nemenman I, Mora T. 2019. Receptor crosstalk improves concentration sensing of
multiple ligands. Physical Review E. 99(2), 022423.
mla: Carballo-Pacheco, Martín, et al. “Receptor Crosstalk Improves Concentration
Sensing of Multiple Ligands.” Physical Review E, vol. 99, no. 2, 022423,
American Physical Society, 2019, doi:10.1103/PhysRevE.99.022423.
short: M. Carballo-Pacheco, J. Desponds, T. Gavrilchenko, A. Mayer, R. Prizak, G.
Reddy, I. Nemenman, T. Mora, Physical Review E 99 (2019).
date_created: 2019-03-10T22:59:20Z
date_published: 2019-02-26T00:00:00Z
date_updated: 2024-02-28T13:12:06Z
day: '26'
department:
- _id: NiBa
- _id: GaTk
doi: 10.1103/PhysRevE.99.022423
external_id:
isi:
- '000459916500007'
intvolume: ' 99'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/content/10.1101/448118v1.abstract
month: '02'
oa: 1
oa_version: Preprint
publication: Physical Review E
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Receptor crosstalk improves concentration sensing of multiple ligands
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 99
year: '2019'
...
---
_id: '7606'
abstract:
- lang: eng
text: We derive a tight lower bound on equivocation (conditional entropy), or equivalently
a tight upper bound on mutual information between a signal variable and channel
outputs. The bound is in terms of the joint distribution of the signals and maximum
a posteriori decodes (most probable signals given channel output). As part of
our derivation, we describe the key properties of the distribution of signals,
channel outputs and decodes, that minimizes equivocation and maximizes mutual
information. This work addresses a problem in data analysis, where mutual information
between signals and decodes is sometimes used to lower bound the mutual information
between signals and channel outputs. Our result provides a corresponding upper
bound.
article_number: '8989292'
article_processing_charge: No
author:
- first_name: Michal
full_name: Hledik, Michal
id: 4171253A-F248-11E8-B48F-1D18A9856A87
last_name: Hledik
- first_name: Thomas R
full_name: Sokolowski, Thomas R
id: 3E999752-F248-11E8-B48F-1D18A9856A87
last_name: Sokolowski
orcid: 0000-0002-1287-3779
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
citation:
ama: 'Hledik M, Sokolowski TR, Tkačik G. A tight upper bound on mutual information.
In: IEEE Information Theory Workshop, ITW 2019. IEEE; 2019. doi:10.1109/ITW44776.2019.8989292'
apa: 'Hledik, M., Sokolowski, T. R., & Tkačik, G. (2019). A tight upper bound
on mutual information. In IEEE Information Theory Workshop, ITW 2019. Visby,
Sweden: IEEE. https://doi.org/10.1109/ITW44776.2019.8989292'
chicago: Hledik, Michal, Thomas R Sokolowski, and Gašper Tkačik. “A Tight Upper
Bound on Mutual Information.” In IEEE Information Theory Workshop, ITW 2019.
IEEE, 2019. https://doi.org/10.1109/ITW44776.2019.8989292.
ieee: M. Hledik, T. R. Sokolowski, and G. Tkačik, “A tight upper bound on mutual
information,” in IEEE Information Theory Workshop, ITW 2019, Visby, Sweden,
2019.
ista: Hledik M, Sokolowski TR, Tkačik G. 2019. A tight upper bound on mutual information.
IEEE Information Theory Workshop, ITW 2019. Information Theory Workshop, 8989292.
mla: Hledik, Michal, et al. “A Tight Upper Bound on Mutual Information.” IEEE
Information Theory Workshop, ITW 2019, 8989292, IEEE, 2019, doi:10.1109/ITW44776.2019.8989292.
short: M. Hledik, T.R. Sokolowski, G. Tkačik, in:, IEEE Information Theory Workshop,
ITW 2019, IEEE, 2019.
conference:
end_date: 2019-08-28
location: Visby, Sweden
name: Information Theory Workshop
start_date: 2019-08-25
date_created: 2020-03-22T23:00:47Z
date_published: 2019-08-01T00:00:00Z
date_updated: 2024-03-06T14:22:51Z
day: '01'
department:
- _id: GaTk
doi: 10.1109/ITW44776.2019.8989292
ec_funded: 1
external_id:
arxiv:
- '1812.01475'
isi:
- '000540384500015'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1812.01475
month: '08'
oa: 1
oa_version: Preprint
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: IEEE Information Theory Workshop, ITW 2019
publication_identifier:
isbn:
- '9781538669006'
publication_status: published
publisher: IEEE
quality_controlled: '1'
related_material:
record:
- id: '15020'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: A tight upper bound on mutual information
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2019'
...
---
_id: '306'
abstract:
- lang: eng
text: A cornerstone of statistical inference, the maximum entropy framework is being
increasingly applied to construct descriptive and predictive models of biological
systems, especially complex biological networks, from large experimental data
sets. Both its broad applicability and the success it obtained in different contexts
hinge upon its conceptual simplicity and mathematical soundness. Here we try to
concisely review the basic elements of the maximum entropy principle, starting
from the notion of ‘entropy’, and describe its usefulness for the analysis of
biological systems. As examples, we focus specifically on the problem of reconstructing
gene interaction networks from expression data and on recent work attempting to
expand our system-level understanding of bacterial metabolism. Finally, we highlight
some extensions and potential limitations of the maximum entropy approach, and
point to more recent developments that are likely to play a key role in the upcoming
challenges of extracting structures and information from increasingly rich, high-throughput
biological data.
article_number: e00596
author:
- first_name: Andrea
full_name: De Martino, Andrea
last_name: De Martino
- first_name: Daniele
full_name: De Martino, Daniele
id: 3FF5848A-F248-11E8-B48F-1D18A9856A87
last_name: De Martino
orcid: 0000-0002-5214-4706
citation:
ama: De Martino A, De Martino D. An introduction to the maximum entropy approach
and its application to inference problems in biology. Heliyon. 2018;4(4).
doi:10.1016/j.heliyon.2018.e00596
apa: De Martino, A., & De Martino, D. (2018). An introduction to the maximum
entropy approach and its application to inference problems in biology. Heliyon.
Elsevier. https://doi.org/10.1016/j.heliyon.2018.e00596
chicago: De Martino, Andrea, and Daniele De Martino. “An Introduction to the Maximum
Entropy Approach and Its Application to Inference Problems in Biology.” Heliyon.
Elsevier, 2018. https://doi.org/10.1016/j.heliyon.2018.e00596.
ieee: A. De Martino and D. De Martino, “An introduction to the maximum entropy approach
and its application to inference problems in biology,” Heliyon, vol. 4,
no. 4. Elsevier, 2018.
ista: De Martino A, De Martino D. 2018. An introduction to the maximum entropy approach
and its application to inference problems in biology. Heliyon. 4(4), e00596.
mla: De Martino, Andrea, and Daniele De Martino. “An Introduction to the Maximum
Entropy Approach and Its Application to Inference Problems in Biology.” Heliyon,
vol. 4, no. 4, e00596, Elsevier, 2018, doi:10.1016/j.heliyon.2018.e00596.
short: A. De Martino, D. De Martino, Heliyon 4 (2018).
date_created: 2018-12-11T11:45:44Z
date_published: 2018-04-01T00:00:00Z
date_updated: 2021-01-12T07:40:46Z
day: '01'
ddc:
- '530'
department:
- _id: GaTk
doi: 10.1016/j.heliyon.2018.e00596
ec_funded: 1
file:
- access_level: open_access
checksum: 67010cf5e3b3e0637c659371714a715a
content_type: application/pdf
creator: dernst
date_created: 2019-02-06T07:36:24Z
date_updated: 2020-07-14T12:45:59Z
file_id: '5929'
file_name: 2018_Heliyon_DeMartino.pdf
file_size: 994490
relation: main_file
file_date_updated: 2020-07-14T12:45:59Z
has_accepted_license: '1'
intvolume: ' 4'
issue: '4'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Heliyon
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: 1
status: public
title: An introduction to the maximum entropy approach and its application to inference
problems in biology
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 4
year: '2018'
...