<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Joo JI</submitter><funding>NIGMS NIH HHS</funding><pagination>12077</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6089891</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>8(1)</volume><pubmed_abstract>Cell state transition is at the core of biological processes in metazoan, which includes cell differentiation, epithelial-to-mesenchymal transition (EMT) and cell reprogramming. In these cases, it is important to understand the molecular mechanism of cellular stability and how the transitions happen between different cell states, which is controlled by a gene regulatory network (GRN) hard-wired in the genome. Here we use Boolean modeling of GRN to study the cell state transition of EMT and systematically compare four available methods to calculate the cellular stability of three cell states in EMT in both normal and genetically mutated cases. The results produced from four methods generally agree but do not totally agree with each other. We show that distribution of one-degree neighborhood</pubmed_abstract><journal>Scientific reports</journal><pubmed_title>Determining Relative Dynamic Stability of Cell States Using Boolean Network Model.</pubmed_title><pmcid>PMC6089891</pmcid><funding_grant_id>R01 GM109964</funding_grant_id><funding_grant_id>P50 GM076547</funding_grant_id><pubmed_authors>Joo JI</pubmed_authors><pubmed_authors>Zhou JX</pubmed_authors><pubmed_authors>Huang S</pubmed_authors><pubmed_authors>Cho KH</pubmed_authors></additional><is_claimable>false</is_claimable><name>Determining Relative Dynamic Stability of Cell States Using Boolean Network Model.</name><description>Cell state transition is at the core of biological processes in metazoan, which includes cell differentiation, epithelial-to-mesenchymal transition (EMT) and cell reprogramming. In these cases, it is important to understand the molecular mechanism of cellular stability and how the transitions happen between different cell states, which is controlled by a gene regulatory network (GRN) hard-wired in the genome. Here we use Boolean modeling of GRN to study the cell state transition of EMT and systematically compare four available methods to calculate the cellular stability of three cell states in EMT in both normal and genetically mutated cases. The results produced from four methods generally agree but do not totally agree with each other. We show that distribution of one-degree neighborhood</description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Aug</publication><modification>2025-04-21T15:00:11.099Z</modification><creation>2019-03-26T23:51:38Z</creation></dates><accession>S-EPMC6089891</accession><cross_references><pubmed>30104572</pubmed><doi>10.1038/s41598-018-30544-0</doi></cross_references></HashMap>