Reliable binary cell-fate decisions based on oscillations
Biological systems have often to perform binary decisions under highly dynamic and noisy environments, such as during cell-fate determination. These decisions can be implemented by two main bifurcation mechanisms based on the transitions from either monostability or oscillation to bistability. We co...
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Veröffentlicht in: | Physical review. E, Statistical, nonlinear, and soft matter physics Statistical, nonlinear, and soft matter physics, 2014-02, Vol.89 (2), p.022707-022707, Article 022707 |
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container_title | Physical review. E, Statistical, nonlinear, and soft matter physics |
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description | Biological systems have often to perform binary decisions under highly dynamic and noisy environments, such as during cell-fate determination. These decisions can be implemented by two main bifurcation mechanisms based on the transitions from either monostability or oscillation to bistability. We compare these two mechanisms by using stochastic models with time-varying fields and by establishing asymptotic formulas for the choice probabilities. Different scaling laws for decision sensitivity with respect to noise strength and signal timescale are obtained, supporting a role for oscillatory dynamics in performing noise-robust and temporally tunable binary decision-making. This result provides a rationale for recent experimental evidences showing that oscillatory expression of proteins often precedes binary cell-fate decisions. |
doi_str_mv | 10.1103/PhysRevE.89.022707 |
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This result provides a rationale for recent experimental evidences showing that oscillatory expression of proteins often precedes binary cell-fate decisions.</description><subject>Biological Clocks - physiology</subject><subject>Cell Differentiation - physiology</subject><subject>Computer Simulation</subject><subject>Gene Expression Regulation - physiology</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Models, Biological</subject><subject>Models, Statistical</subject><subject>Quantitative Methods</subject><issn>1539-3755</issn><issn>1550-2376</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kE9rAjEQxUNpqdb2C_RQ9tge1iYZ8-8oYmtBaBHvIdlNMCXu2o0KfvvusipzmOHxm8fMQ-iZ4DEhGN5_Nqe0csf5WKoxplRgcYOGhDGcUxD8tptB5SAYG6CHlH4xBgpyco8GlEFbWA2RWrkYjI0us6EyzSkrXIy5N3uXla4IKdRVyqxJrszqKqtTEWI0-059RHfexOSezn2E1h_z9WyRL78_v2bTZV4AiH1OJOfKc8-tksIyK5VS3DjhDcGK2QlnggOlBXjmJaUtXYLAWBlaAiYAI_TW225M1LsmbNsjdW2CXkyXutMwIYAphyNp2dee3TX138Glvd6G1D1kKlcfkiYclBJEsg6lPVo0dUqN81dvgnWXrr6kq6XSfbrt0svZ_2C3rryuXOKEfzM5dHA</recordid><startdate>201402</startdate><enddate>201402</enddate><creator>Pfeuty, B</creator><creator>Kaneko, K</creator><general>American Physical Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-9202-3941</orcidid></search><sort><creationdate>201402</creationdate><title>Reliable binary cell-fate decisions based on oscillations</title><author>Pfeuty, B ; Kaneko, K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-18669f6f6b987b5b89996ae7fa1095b46576322c3f5f822866d37009a2d30133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Biological Clocks - physiology</topic><topic>Cell Differentiation - physiology</topic><topic>Computer Simulation</topic><topic>Gene Expression Regulation - physiology</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Models, Biological</topic><topic>Models, Statistical</topic><topic>Quantitative Methods</topic><toplevel>online_resources</toplevel><creatorcontrib>Pfeuty, B</creatorcontrib><creatorcontrib>Kaneko, K</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Physical review. 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subjects | Biological Clocks - physiology Cell Differentiation - physiology Computer Simulation Gene Expression Regulation - physiology Humans Life Sciences Male Models, Biological Models, Statistical Quantitative Methods |
title | Reliable binary cell-fate decisions based on oscillations |
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