--- _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 content_type: application/pdf creator: system date_created: 2018-12-12T10:14:14Z date_updated: 2020-07-14T12:48:16Z file_id: '5064' file_name: IST-2017-864-v1+1_s41467-017-00238-8.pdf file_size: 998157 relation: main_file - access_level: open_access checksum: 7b78401e52a576cf3e6bbf8d0abadc17 content_type: application/pdf creator: system date_created: 2018-12-12T10:14:15Z date_updated: 2020-07-14T12:48:16Z file_id: '5065' file_name: IST-2017-864-v1+2_41467_2017_238_MOESM1_ESM.pdf file_size: 9715993 relation: main_file file_date_updated: 2020-07-14T12:48:16Z has_accepted_license: '1' intvolume: ' 8' isi: 1 issue: '1' 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_identifier: issn: - '20411723' publication_status: published publisher: Nature Publishing Group publist_id: '6459' pubrep_id: '864' quality_controlled: '1' related_material: record: - id: '6071' relation: dissertation_contains status: public 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 - access_level: open_access 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: - access_level: open_access 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: record: - id: '9718' relation: research_data status: public - id: '9773' 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' ...