<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Duddu AS</submitter><funding>Science and Engineering Research Board</funding><pagination>20200631</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7536062</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>17(170)</volume><pubmed_abstract>Identifying the design principles of complex regulatory networks driving cellular decision-making remains essential to decode embryonic development as well as enhance cellular reprogramming. A well-studied network motif involved in cellular decision-making is a toggle switch-a set of two opposing transcription factors A and B, each of which is a master regulator of a specific cell fate and can inhibit the activity of the other. A toggle switch can lead to two possible states-(high A, low B) and (low A, high B)-and drives the 'either-or' choice between these two cell fates for a common progenitor cell. However, the principles of coupled toggle switches remain unclear. Here, we investigate the dynamics of three master regulators A, B and C inhibiting each other, thus forming three-coupled toggle switches to form a toggle triad. Our simulations show that this toggle triad can lead to co-existence of cells into three differentiated 'single positive' phenotypes-(high A, low B, low C), (low A, high B, low C) and (low A, low B, high C). Moreover, the hybrid or 'double positive' phenotypes-(high A, high B, low C), (low A, high B, high C) and (high A, low B, high C)-can coexist together with 'single positive' phenotypes. Including self-activation loops on A, B and C can increase the frequency of 'double positive' states. Finally, we apply our results to understand cellular decision-making in terms of differentiation of naive CD4&lt;sup>+&lt;/sup> T cells into Th1, Th2 and Th17 states, where hybrid Th1/Th2 and hybrid Th1/Th17 cells have been reported in addition to the Th1, Th2 and Th17 ones. Our results offer novel insights into the design principles of a multi-stable network topology and provide a framework for synthetic biology to design tristable systems.</pubmed_abstract><journal>Journal of the Royal Society, Interface</journal><pubmed_title>Multi-stability in cellular differentiation enabled by a network of three mutually repressing master regulators.</pubmed_title><pmcid>PMC7536062</pmcid><funding_grant_id>SB/S2/RJN-049/2018</funding_grant_id><pubmed_authors>Jhunjhunwala S</pubmed_authors><pubmed_authors>Sahoo S</pubmed_authors><pubmed_authors>Jolly MK</pubmed_authors><pubmed_authors>Duddu AS</pubmed_authors><pubmed_authors>Hati S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Multi-stability in cellular differentiation enabled by a network of three mutually repressing master regulators.</name><description>Identifying the design principles of complex regulatory networks driving cellular decision-making remains essential to decode embryonic development as well as enhance cellular reprogramming. A well-studied network motif involved in cellular decision-making is a toggle switch-a set of two opposing transcription factors A and B, each of which is a master regulator of a specific cell fate and can inhibit the activity of the other. A toggle switch can lead to two possible states-(high A, low B) and (low A, high B)-and drives the 'either-or' choice between these two cell fates for a common progenitor cell. However, the principles of coupled toggle switches remain unclear. Here, we investigate the dynamics of three master regulators A, B and C inhibiting each other, thus forming three-coupled toggle switches to form a toggle triad. Our simulations show that this toggle triad can lead to co-existence of cells into three differentiated 'single positive' phenotypes-(high A, low B, low C), (low A, high B, low C) and (low A, low B, high C). Moreover, the hybrid or 'double positive' phenotypes-(high A, high B, low C), (low A, high B, high C) and (high A, low B, high C)-can coexist together with 'single positive' phenotypes. Including self-activation loops on A, B and C can increase the frequency of 'double positive' states. Finally, we apply our results to understand cellular decision-making in terms of differentiation of naive CD4&lt;sup>+&lt;/sup> T cells into Th1, Th2 and Th17 states, where hybrid Th1/Th2 and hybrid Th1/Th17 cells have been reported in addition to the Th1, Th2 and Th17 ones. Our results offer novel insights into the design principles of a multi-stable network topology and provide a framework for synthetic biology to design tristable systems.</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Sep</publication><modification>2025-04-04T13:57:29.152Z</modification><creation>2025-04-04T13:57:29.152Z</creation></dates><accession>S-EPMC7536062</accession><cross_references><pubmed>32993428</pubmed><doi>10.1098/rsif.2020.0631</doi></cross_references></HashMap>