---
_id: '955'
abstract:
- lang: eng
text: 'Gene expression is controlled by networks of regulatory proteins that interact
specifically with external signals and DNA regulatory sequences. These interactions
force the network components to co-evolve so as to continually maintain function.
Yet, existing models of evolution mostly focus on isolated genetic elements. In
contrast, we study the essential process by which regulatory networks grow: the
duplication and subsequent specialization of network components. We synthesize
a biophysical model of molecular interactions with the evolutionary framework
to find the conditions and pathways by which new regulatory functions emerge.
We show that specialization of new network components is usually slow, but can
be drastically accelerated in the presence of regulatory crosstalk and mutations
that promote promiscuous interactions between network components.'
article_number: '216'
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Tamar
full_name: Friedlander, Tamar
id: 36A5845C-F248-11E8-B48F-1D18A9856A87
last_name: Friedlander
- first_name: Roshan
full_name: Prizak, Roshan
id: 4456104E-F248-11E8-B48F-1D18A9856A87
last_name: Prizak
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: Friedlander T, Prizak R, Barton NH, Tkačik G. Evolution of new regulatory functions
on biophysically realistic fitness landscapes. Nature Communications. 2017;8(1).
doi:10.1038/s41467-017-00238-8
apa: Friedlander, T., Prizak, R., Barton, N. H., & Tkačik, G. (2017). Evolution
of new regulatory functions on biophysically realistic fitness landscapes. Nature
Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-00238-8
chicago: Friedlander, Tamar, Roshan Prizak, Nicholas H Barton, and Gašper Tkačik.
“Evolution of New Regulatory Functions on Biophysically Realistic Fitness Landscapes.”
Nature Communications. Nature Publishing Group, 2017. https://doi.org/10.1038/s41467-017-00238-8.
ieee: T. Friedlander, R. Prizak, N. H. Barton, and G. Tkačik, “Evolution of new
regulatory functions on biophysically realistic fitness landscapes,” Nature
Communications, vol. 8, no. 1. Nature Publishing Group, 2017.
ista: Friedlander T, Prizak R, Barton NH, Tkačik G. 2017. Evolution of new regulatory
functions on biophysically realistic fitness landscapes. Nature Communications.
8(1), 216.
mla: Friedlander, Tamar, et al. “Evolution of New Regulatory Functions on Biophysically
Realistic Fitness Landscapes.” Nature Communications, vol. 8, no. 1, 216,
Nature Publishing Group, 2017, doi:10.1038/s41467-017-00238-8.
short: T. Friedlander, R. Prizak, N.H. Barton, G. Tkačik, Nature Communications
8 (2017).
date_created: 2018-12-11T11:49:23Z
date_published: 2017-08-09T00:00:00Z
date_updated: 2023-09-22T10:00:49Z
day: '09'
ddc:
- '539'
- '576'
department:
- _id: GaTk
- _id: NiBa
doi: 10.1038/s41467-017-00238-8
ec_funded: 1
external_id:
isi:
- '000407198800005'
file:
- access_level: open_access
checksum: 29a1b5db458048d3bd5c67e0e2a56818
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creator: system
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date_updated: 2020-07-14T12:48:16Z
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has_accepted_license: '1'
intvolume: ' 8'
isi: 1
issue: '1'
language:
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month: '08'
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
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: Nature Communications
publication_identifier:
issn:
- '20411723'
publication_status: published
publisher: Nature Publishing Group
publist_id: '6459'
pubrep_id: '864'
quality_controlled: '1'
related_material:
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relation: dissertation_contains
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scopus_import: '1'
status: public
title: Evolution of new regulatory functions on biophysically realistic fitness landscapes
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: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 8
year: '2017'
...
---
_id: '1358'
abstract:
- lang: eng
text: 'Gene regulation relies on the specificity of transcription factor (TF)–DNA
interactions. Limited specificity may lead to crosstalk: a regulatory state in
which a gene is either incorrectly activated due to noncognate TF–DNA interactions
or remains erroneously inactive. As each TF can have numerous interactions with
noncognate cis-regulatory elements, crosstalk is inherently a global problem,
yet has previously not been studied as such. We construct a theoretical framework
to analyse the effects of global crosstalk on gene regulation. We find that crosstalk
presents a significant challenge for organisms with low-specificity TFs, such
as metazoans. Crosstalk is not easily mitigated by known regulatory schemes acting
at equilibrium, including variants of cooperativity and combinatorial regulation.
Our results suggest that crosstalk imposes a previously unexplored global constraint
on the functioning and evolution of regulatory networks, which is qualitatively
distinct from the known constraints that act at the level of individual gene regulatory
elements.'
article_number: '12307'
author:
- first_name: Tamar
full_name: Friedlander, Tamar
id: 36A5845C-F248-11E8-B48F-1D18A9856A87
last_name: Friedlander
- first_name: Roshan
full_name: Prizak, Roshan
id: 4456104E-F248-11E8-B48F-1D18A9856A87
last_name: Prizak
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: Friedlander T, Prizak R, Guet CC, Barton NH, Tkačik G. Intrinsic limits to
gene regulation by global crosstalk. Nature Communications. 2016;7. doi:10.1038/ncomms12307
apa: Friedlander, T., Prizak, R., Guet, C. C., Barton, N. H., & Tkačik, G. (2016).
Intrinsic limits to gene regulation by global crosstalk. Nature Communications.
Nature Publishing Group. https://doi.org/10.1038/ncomms12307
chicago: Friedlander, Tamar, Roshan Prizak, Calin C Guet, Nicholas H Barton, and
Gašper Tkačik. “Intrinsic Limits to Gene Regulation by Global Crosstalk.” Nature
Communications. Nature Publishing Group, 2016. https://doi.org/10.1038/ncomms12307.
ieee: T. Friedlander, R. Prizak, C. C. Guet, N. H. Barton, and G. Tkačik, “Intrinsic
limits to gene regulation by global crosstalk,” Nature Communications,
vol. 7. Nature Publishing Group, 2016.
ista: Friedlander T, Prizak R, Guet CC, Barton NH, Tkačik G. 2016. Intrinsic limits
to gene regulation by global crosstalk. Nature Communications. 7, 12307.
mla: Friedlander, Tamar, et al. “Intrinsic Limits to Gene Regulation by Global Crosstalk.”
Nature Communications, vol. 7, 12307, Nature Publishing Group, 2016, doi:10.1038/ncomms12307.
short: T. Friedlander, R. Prizak, C.C. Guet, N.H. Barton, G. Tkačik, Nature Communications
7 (2016).
date_created: 2018-12-11T11:51:34Z
date_published: 2016-08-04T00:00:00Z
date_updated: 2023-09-07T12:53:49Z
day: '04'
ddc:
- '576'
department:
- _id: GaTk
- _id: NiBa
- _id: CaGu
doi: 10.1038/ncomms12307
ec_funded: 1
file:
- access_level: open_access
checksum: fe3f3a1526d180b29fe691ab11435b78
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:01Z
date_updated: 2020-07-14T12:44:46Z
file_id: '4919'
file_name: IST-2016-627-v1+1_ncomms12307.pdf
file_size: 861805
relation: main_file
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checksum: 164864a1a675f3ad80e9917c27aba07f
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:02Z
date_updated: 2020-07-14T12:44:46Z
file_id: '4920'
file_name: IST-2016-627-v1+2_ncomms12307-s1.pdf
file_size: 1084703
relation: main_file
file_date_updated: 2020-07-14T12:44:46Z
has_accepted_license: '1'
intvolume: ' 7'
language:
- iso: eng
month: '08'
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
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: Nature Communications
publication_status: published
publisher: Nature Publishing Group
publist_id: '5887'
pubrep_id: '627'
quality_controlled: '1'
related_material:
record:
- id: '6071'
relation: dissertation_contains
status: public
scopus_import: 1
status: public
title: Intrinsic limits to gene regulation by global crosstalk
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: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 7
year: '2016'
...
---
_id: '9718'
article_processing_charge: No
author:
- first_name: Tamar
full_name: Friedlander, Tamar
id: 36A5845C-F248-11E8-B48F-1D18A9856A87
last_name: Friedlander
- first_name: Avraham E.
full_name: Mayo, Avraham E.
last_name: Mayo
- first_name: Tsvi
full_name: Tlusty, Tsvi
last_name: Tlusty
- first_name: Uri
full_name: Alon, Uri
last_name: Alon
citation:
ama: Friedlander T, Mayo AE, Tlusty T, Alon U. Supporting information text. 2015.
doi:10.1371/journal.pcbi.1004055.s001
apa: Friedlander, T., Mayo, A. E., Tlusty, T., & Alon, U. (2015). Supporting
information text. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1004055.s001
chicago: Friedlander, Tamar, Avraham E. Mayo, Tsvi Tlusty, and Uri Alon. “Supporting
Information Text.” Public Library of Science, 2015. https://doi.org/10.1371/journal.pcbi.1004055.s001.
ieee: T. Friedlander, A. E. Mayo, T. Tlusty, and U. Alon, “Supporting information
text.” Public Library of Science, 2015.
ista: Friedlander T, Mayo AE, Tlusty T, Alon U. 2015. Supporting information text,
Public Library of Science, 10.1371/journal.pcbi.1004055.s001.
mla: Friedlander, Tamar, et al. Supporting Information Text. Public Library
of Science, 2015, doi:10.1371/journal.pcbi.1004055.s001.
short: T. Friedlander, A.E. Mayo, T. Tlusty, U. Alon, (2015).
date_created: 2021-07-26T08:35:23Z
date_published: 2015-03-23T00:00:00Z
date_updated: 2023-02-23T10:16:13Z
day: '23'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1004055.s001
month: '03'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1827'
relation: used_in_publication
status: public
status: public
title: Supporting information text
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2015'
...
---
_id: '1827'
abstract:
- lang: eng
text: Bow-tie or hourglass structure is a common architectural feature found in
many biological systems. A bow-tie in a multi-layered structure occurs when intermediate
layers have much fewer components than the input and output layers. Examples include
metabolism where a handful of building blocks mediate between multiple input nutrients
and multiple output biomass components, and signaling networks where information
from numerous receptor types passes through a small set of signaling pathways
to regulate multiple output genes. Little is known, however, about how bow-tie
architectures evolve. Here, we address the evolution of bow-tie architectures
using simulations of multi-layered systems evolving to fulfill a given input-output
goal. We find that bow-ties spontaneously evolve when the information in the evolutionary
goal can be compressed. Mathematically speaking, bow-ties evolve when the rank
of the input-output matrix describing the evolutionary goal is deficient. The
maximal compression possible (the rank of the goal) determines the size of the
narrowest part of the network—that is the bow-tie. A further requirement is that
a process is active to reduce the number of links in the network, such as product-rule
mutations, otherwise a non-bow-tie solution is found in the evolutionary simulations.
This offers a mechanism to understand a common architectural principle of biological
systems, and a way to quantitate the effective rank of the goals under which they
evolved.
article_processing_charge: No
author:
- first_name: Tamar
full_name: Friedlander, Tamar
id: 36A5845C-F248-11E8-B48F-1D18A9856A87
last_name: Friedlander
- first_name: Avraham
full_name: Mayo, Avraham
last_name: Mayo
- first_name: Tsvi
full_name: Tlusty, Tsvi
last_name: Tlusty
- first_name: Uri
full_name: Alon, Uri
last_name: Alon
citation:
ama: Friedlander T, Mayo A, Tlusty T, Alon U. Evolution of bow-tie architectures
in biology. PLoS Computational Biology. 2015;11(3). doi:10.1371/journal.pcbi.1004055
apa: Friedlander, T., Mayo, A., Tlusty, T., & Alon, U. (2015). Evolution of
bow-tie architectures in biology. PLoS Computational Biology. Public Library
of Science. https://doi.org/10.1371/journal.pcbi.1004055
chicago: Friedlander, Tamar, Avraham Mayo, Tsvi Tlusty, and Uri Alon. “Evolution
of Bow-Tie Architectures in Biology.” PLoS Computational Biology. Public
Library of Science, 2015. https://doi.org/10.1371/journal.pcbi.1004055.
ieee: T. Friedlander, A. Mayo, T. Tlusty, and U. Alon, “Evolution of bow-tie architectures
in biology,” PLoS Computational Biology, vol. 11, no. 3. Public Library
of Science, 2015.
ista: Friedlander T, Mayo A, Tlusty T, Alon U. 2015. Evolution of bow-tie architectures
in biology. PLoS Computational Biology. 11(3).
mla: Friedlander, Tamar, et al. “Evolution of Bow-Tie Architectures in Biology.”
PLoS Computational Biology, vol. 11, no. 3, Public Library of Science,
2015, doi:10.1371/journal.pcbi.1004055.
short: T. Friedlander, A. Mayo, T. Tlusty, U. Alon, PLoS Computational Biology 11
(2015).
date_created: 2018-12-11T11:54:14Z
date_published: 2015-03-23T00:00:00Z
date_updated: 2023-02-23T14:07:51Z
day: '23'
ddc:
- '576'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1004055
ec_funded: 1
file:
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checksum: b8aa66f450ff8de393014b87ec7d2efb
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:15:39Z
date_updated: 2020-07-14T12:45:17Z
file_id: '5161'
file_name: IST-2016-452-v1+1_journal.pcbi.1004055.pdf
file_size: 1811647
relation: main_file
file_date_updated: 2020-07-14T12:45:17Z
has_accepted_license: '1'
intvolume: ' 11'
issue: '3'
language:
- iso: eng
month: '03'
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: PLoS Computational Biology
publication_status: published
publisher: Public Library of Science
publist_id: '5278'
pubrep_id: '452'
quality_controlled: '1'
related_material:
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relation: research_data
status: public
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relation: research_data
status: public
scopus_import: 1
status: public
title: Evolution of bow-tie architectures 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: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 11
year: '2015'
...
---
_id: '9773'
article_processing_charge: No
author:
- first_name: Tamar
full_name: Friedlander, Tamar
id: 36A5845C-F248-11E8-B48F-1D18A9856A87
last_name: Friedlander
- first_name: Avraham E.
full_name: Mayo, Avraham E.
last_name: Mayo
- first_name: Tsvi
full_name: Tlusty, Tsvi
last_name: Tlusty
- first_name: Uri
full_name: Alon, Uri
last_name: Alon
citation:
ama: Friedlander T, Mayo AE, Tlusty T, Alon U. Evolutionary simulation code. 2015.
doi:10.1371/journal.pcbi.1004055.s002
apa: Friedlander, T., Mayo, A. E., Tlusty, T., & Alon, U. (2015). Evolutionary
simulation code. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1004055.s002
chicago: Friedlander, Tamar, Avraham E. Mayo, Tsvi Tlusty, and Uri Alon. “Evolutionary
Simulation Code.” Public Library of Science, 2015. https://doi.org/10.1371/journal.pcbi.1004055.s002.
ieee: T. Friedlander, A. E. Mayo, T. Tlusty, and U. Alon, “Evolutionary simulation
code.” Public Library of Science, 2015.
ista: Friedlander T, Mayo AE, Tlusty T, Alon U. 2015. Evolutionary simulation code,
Public Library of Science, 10.1371/journal.pcbi.1004055.s002.
mla: Friedlander, Tamar, et al. Evolutionary Simulation Code. Public Library
of Science, 2015, doi:10.1371/journal.pcbi.1004055.s002.
short: T. Friedlander, A.E. Mayo, T. Tlusty, U. Alon, (2015).
date_created: 2021-08-05T12:58:07Z
date_published: 2015-03-23T00:00:00Z
date_updated: 2023-02-23T10:16:13Z
day: '23'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1004055.s002
month: '03'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1827'
relation: used_in_publication
status: public
status: public
title: Evolutionary simulation code
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2015'
...
---
_id: '1815'
abstract:
- lang: eng
text: Many membrane channels and receptors exhibit adaptive, or desensitized, response
to a strong sustained input stimulus, often supported by protein activity-dependent
inactivation. Adaptive response is thought to be related to various cellular functions
such as homeostasis and enlargement of dynamic range by background compensation.
Here we study the quantitative relation between adaptive response and background
compensation within a modeling framework. We show that any particular type of
adaptive response is neither sufficient nor necessary for adaptive enlargement
of dynamic range. In particular a precise adaptive response, where system activity
is maintained at a constant level at steady state, does not ensure a large dynamic
range neither in input signal nor in system output. A general mechanism for input
dynamic range enlargement can come about from the activity-dependent modulation
of protein responsiveness by multiple biochemical modification, regardless of
the type of adaptive response it induces. Therefore hierarchical biochemical processes
such as methylation and phosphorylation are natural candidates to induce this
property in signaling systems.
author:
- first_name: Tamar
full_name: Tamar Friedlander
id: 36A5845C-F248-11E8-B48F-1D18A9856A87
last_name: Friedlander
- first_name: Naama
full_name: Brenner, Naama
last_name: Brenner
citation:
ama: Friedlander T, Brenner N. Adaptive response and enlargement of dynamic range.
Mathematical Biosciences and Engineering. 2011;8(2):515-526. doi:10.3934/mbe.2011.8.515
apa: Friedlander, T., & Brenner, N. (2011). Adaptive response and enlargement
of dynamic range. Mathematical Biosciences and Engineering. Arizona State
University. https://doi.org/10.3934/mbe.2011.8.515
chicago: Friedlander, Tamar, and Naama Brenner. “Adaptive Response and Enlargement
of Dynamic Range.” Mathematical Biosciences and Engineering. Arizona State
University, 2011. https://doi.org/10.3934/mbe.2011.8.515.
ieee: T. Friedlander and N. Brenner, “Adaptive response and enlargement of dynamic
range,” Mathematical Biosciences and Engineering, vol. 8, no. 2. Arizona
State University, pp. 515–526, 2011.
ista: Friedlander T, Brenner N. 2011. Adaptive response and enlargement of dynamic
range. Mathematical Biosciences and Engineering. 8(2), 515–526.
mla: Friedlander, Tamar, and Naama Brenner. “Adaptive Response and Enlargement of
Dynamic Range.” Mathematical Biosciences and Engineering, vol. 8, no. 2,
Arizona State University, 2011, pp. 515–26, doi:10.3934/mbe.2011.8.515.
short: T. Friedlander, N. Brenner, Mathematical Biosciences and Engineering 8 (2011)
515–526.
date_created: 2018-12-11T11:54:10Z
date_published: 2011-04-02T00:00:00Z
date_updated: 2021-01-12T06:53:23Z
day: '02'
doi: 10.3934/mbe.2011.8.515
extern: 1
intvolume: ' 8'
issue: '2'
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1003.2791
month: '04'
oa: 1
page: 515 - 526
publication: Mathematical Biosciences and Engineering
publication_status: published
publisher: Arizona State University
publist_id: '5291'
quality_controlled: 0
status: public
title: Adaptive response and enlargement of dynamic range
type: journal_article
volume: 8
year: '2011'
...
---
_id: '1825'
abstract:
- lang: eng
text: 'Many membrane channels and receptors exhibit adaptive, or desensitized, response
to a strong sustained input stimulus. A key mechanism that underlies this response
is the slow, activity-dependent removal of responding molecules to a pool which
is unavailable to respond immediately to the input. This mechanism is implemented
in different ways in various biological systems and has traditionally been studied
separately for each. Here we highlight the common aspects of this principle, shared
by many biological systems, and suggest a unifying theoretical framework. We study
theoretically a class of models which describes the general mechanism and allows
us to distinguish its universal from system-specific features. We show that under
general conditions, regardless of the details of kinetics, molecule availability
encodes an averaging over past activity and feeds back multiplicatively on the
system output. The kinetics of recovery from unavailability determines the effective
memory kernel inside the feedback branch, giving rise to a variety of system-specific
forms of adaptive response—precise or input-dependent, exponential or power-law—as
special cases of the same model. '
author:
- first_name: Tamar
full_name: Tamar Friedlander
id: 36A5845C-F248-11E8-B48F-1D18A9856A87
last_name: Friedlander
- first_name: Naama
full_name: Brenner, Naama
last_name: Brenner
citation:
ama: Friedlander T, Brenner N. Adaptive response by state-dependent inactivation.
PNAS. 2009;106(52):22558-22563. doi:10.1073/pnas.0902146106
apa: Friedlander, T., & Brenner, N. (2009). Adaptive response by state-dependent
inactivation. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.0902146106
chicago: Friedlander, Tamar, and Naama Brenner. “Adaptive Response by State-Dependent
Inactivation.” PNAS. National Academy of Sciences, 2009. https://doi.org/10.1073/pnas.0902146106 .
ieee: T. Friedlander and N. Brenner, “Adaptive response by state-dependent inactivation,”
PNAS, vol. 106, no. 52. National Academy of Sciences, pp. 22558–22563,
2009.
ista: Friedlander T, Brenner N. 2009. Adaptive response by state-dependent inactivation.
PNAS. 106(52), 22558–22563.
mla: Friedlander, Tamar, and Naama Brenner. “Adaptive Response by State-Dependent
Inactivation.” PNAS, vol. 106, no. 52, National Academy of Sciences, 2009,
pp. 22558–63, doi:10.1073/pnas.0902146106
.
short: T. Friedlander, N. Brenner, PNAS 106 (2009) 22558–22563.
date_created: 2018-12-11T11:54:13Z
date_published: 2009-12-01T00:00:00Z
date_updated: 2021-01-12T06:53:26Z
day: '01'
doi: '10.1073/pnas.0902146106 '
extern: 1
intvolume: ' 106'
issue: '52'
main_file_link:
- open_access: '1'
url: http://www.pnas.org/content/106/52/22558.full.pdf
month: '12'
oa: 1
page: 22558 - 22563
publication: PNAS
publication_status: published
publisher: National Academy of Sciences
publist_id: '5281'
quality_controlled: 0
status: public
title: Adaptive response by state-dependent inactivation
type: journal_article
volume: 106
year: '2009'
...
---
_id: '1826'
abstract:
- lang: eng
text: Proliferating cell populations at steady-state growth often exhibit broad
protein distributions with exponential tails. The sources of this variation and
its universality are of much theoretical interest. Here we address the problem
by asymptotic analysis of the population balance equation. We show that the steady-state
distribution tail is determined by a combination of protein production and cell
division and is insensitive to other model details. Under general conditions this
tail is exponential with a dependence on parameters consistent with experiment.
We discuss the conditions for this effect to be dominant over other sources of
variation and the relation to experiments.
author:
- first_name: Tamar
full_name: Tamar Friedlander
id: 36A5845C-F248-11E8-B48F-1D18A9856A87
last_name: Friedlander
- first_name: Naama
full_name: Brenner, Naama
last_name: Brenner
citation:
ama: Friedlander T, Brenner N. Cellular properties and population asymptotics in
the population balance equation. Physical Review Letters. 2008;101(1).
doi:10.1103/PhysRevLett.101.018104
apa: Friedlander, T., & Brenner, N. (2008). Cellular properties and population
asymptotics in the population balance equation. Physical Review Letters.
American Physical Society. https://doi.org/10.1103/PhysRevLett.101.018104
chicago: Friedlander, Tamar, and Naama Brenner. “Cellular Properties and Population
Asymptotics in the Population Balance Equation.” Physical Review Letters.
American Physical Society, 2008. https://doi.org/10.1103/PhysRevLett.101.018104.
ieee: T. Friedlander and N. Brenner, “Cellular properties and population asymptotics
in the population balance equation,” Physical Review Letters, vol. 101,
no. 1. American Physical Society, 2008.
ista: Friedlander T, Brenner N. 2008. Cellular properties and population asymptotics
in the population balance equation. Physical Review Letters. 101(1).
mla: Friedlander, Tamar, and Naama Brenner. “Cellular Properties and Population
Asymptotics in the Population Balance Equation.” Physical Review Letters,
vol. 101, no. 1, American Physical Society, 2008, doi:10.1103/PhysRevLett.101.018104.
short: T. Friedlander, N. Brenner, Physical Review Letters 101 (2008).
date_created: 2018-12-11T11:54:13Z
date_published: 2008-07-01T00:00:00Z
date_updated: 2021-01-12T06:53:27Z
day: '01'
doi: 10.1103/PhysRevLett.101.018104
extern: 1
intvolume: ' 101'
issue: '1'
main_file_link:
- open_access: '0'
url: http://arxiv.org/abs/0804.4804
month: '07'
publication: Physical Review Letters
publication_status: published
publisher: American Physical Society
publist_id: '5280'
quality_controlled: 0
status: public
title: Cellular properties and population asymptotics in the population balance equation
type: journal_article
volume: 101
year: '2008'
...