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Dynamic network biomarker factors orchestrate cell-fate determination at tipping points during hESC differentiation
The generation of ectoderm, mesoderm, and endoderm layers is the most critical biological process during the gastrulation of embryo development. Such a differentiation process in human embryonic stem cells (hESCs) is an inherently nonlinear multi-stage dynamical process which contain multiple tippin...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827382/ https://www.ncbi.nlm.nih.gov/pubmed/36632190 http://dx.doi.org/10.1016/j.xinn.2022.100364 |
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author | Li, Lin Xu, Yilin Yan, Lili Li, Xiao Li, Fei Liu, Zhuang Zhang, Chuanchao Lou, Yuan Gao, Dong Cheng, Xin Chen, Luonan |
author_facet | Li, Lin Xu, Yilin Yan, Lili Li, Xiao Li, Fei Liu, Zhuang Zhang, Chuanchao Lou, Yuan Gao, Dong Cheng, Xin Chen, Luonan |
author_sort | Li, Lin |
collection | PubMed |
description | The generation of ectoderm, mesoderm, and endoderm layers is the most critical biological process during the gastrulation of embryo development. Such a differentiation process in human embryonic stem cells (hESCs) is an inherently nonlinear multi-stage dynamical process which contain multiple tipping points playing crucial roles in the cell-fate decision. However, the tipping points of the process are largely unknown, letting alone the understanding of the molecular regulation on these critical events. Here by designing a module-based dynamic network biomarker (M-DNB) model, we quantitatively pinpointed two tipping points of the differentiation of hESCs toward definitive endoderm, which leads to the identification of M-DNB factors (FOS, HSF1, MYCN, TP53, and MYC) of this process. We demonstrate that before the tipping points, M-DNB factors are able to maintain the cell states and orchestrate cell-fate determination during hESC (ES)-to-ME and ME-to-DE differentiation processes, which not only leads to better understanding of endodermal specification of hESCs but also reveals the power of the M-DNB model to identify critical transition points with their key factors in diverse biological processes, including cell differentiation and transdifferentiation dynamics. |
format | Online Article Text |
id | pubmed-9827382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98273822023-01-10 Dynamic network biomarker factors orchestrate cell-fate determination at tipping points during hESC differentiation Li, Lin Xu, Yilin Yan, Lili Li, Xiao Li, Fei Liu, Zhuang Zhang, Chuanchao Lou, Yuan Gao, Dong Cheng, Xin Chen, Luonan Innovation (Camb) Report The generation of ectoderm, mesoderm, and endoderm layers is the most critical biological process during the gastrulation of embryo development. Such a differentiation process in human embryonic stem cells (hESCs) is an inherently nonlinear multi-stage dynamical process which contain multiple tipping points playing crucial roles in the cell-fate decision. However, the tipping points of the process are largely unknown, letting alone the understanding of the molecular regulation on these critical events. Here by designing a module-based dynamic network biomarker (M-DNB) model, we quantitatively pinpointed two tipping points of the differentiation of hESCs toward definitive endoderm, which leads to the identification of M-DNB factors (FOS, HSF1, MYCN, TP53, and MYC) of this process. We demonstrate that before the tipping points, M-DNB factors are able to maintain the cell states and orchestrate cell-fate determination during hESC (ES)-to-ME and ME-to-DE differentiation processes, which not only leads to better understanding of endodermal specification of hESCs but also reveals the power of the M-DNB model to identify critical transition points with their key factors in diverse biological processes, including cell differentiation and transdifferentiation dynamics. Elsevier 2022-12-20 /pmc/articles/PMC9827382/ /pubmed/36632190 http://dx.doi.org/10.1016/j.xinn.2022.100364 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Report Li, Lin Xu, Yilin Yan, Lili Li, Xiao Li, Fei Liu, Zhuang Zhang, Chuanchao Lou, Yuan Gao, Dong Cheng, Xin Chen, Luonan Dynamic network biomarker factors orchestrate cell-fate determination at tipping points during hESC differentiation |
title | Dynamic network biomarker factors orchestrate cell-fate determination at tipping points during hESC differentiation |
title_full | Dynamic network biomarker factors orchestrate cell-fate determination at tipping points during hESC differentiation |
title_fullStr | Dynamic network biomarker factors orchestrate cell-fate determination at tipping points during hESC differentiation |
title_full_unstemmed | Dynamic network biomarker factors orchestrate cell-fate determination at tipping points during hESC differentiation |
title_short | Dynamic network biomarker factors orchestrate cell-fate determination at tipping points during hESC differentiation |
title_sort | dynamic network biomarker factors orchestrate cell-fate determination at tipping points during hesc differentiation |
topic | Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827382/ https://www.ncbi.nlm.nih.gov/pubmed/36632190 http://dx.doi.org/10.1016/j.xinn.2022.100364 |
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