Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Lin, Xu, Yilin, Yan, Lili, Li, Xiao, Li, Fei, Liu, Zhuang, Zhang, Chuanchao, Lou, Yuan, Gao, Dong, Cheng, Xin, Chen, Luonan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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
_version_ 1784867048128512000
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
work_keys_str_mv AT lilin dynamicnetworkbiomarkerfactorsorchestratecellfatedeterminationattippingpointsduringhescdifferentiation
AT xuyilin dynamicnetworkbiomarkerfactorsorchestratecellfatedeterminationattippingpointsduringhescdifferentiation
AT yanlili dynamicnetworkbiomarkerfactorsorchestratecellfatedeterminationattippingpointsduringhescdifferentiation
AT lixiao dynamicnetworkbiomarkerfactorsorchestratecellfatedeterminationattippingpointsduringhescdifferentiation
AT lifei dynamicnetworkbiomarkerfactorsorchestratecellfatedeterminationattippingpointsduringhescdifferentiation
AT liuzhuang dynamicnetworkbiomarkerfactorsorchestratecellfatedeterminationattippingpointsduringhescdifferentiation
AT zhangchuanchao dynamicnetworkbiomarkerfactorsorchestratecellfatedeterminationattippingpointsduringhescdifferentiation
AT louyuan dynamicnetworkbiomarkerfactorsorchestratecellfatedeterminationattippingpointsduringhescdifferentiation
AT gaodong dynamicnetworkbiomarkerfactorsorchestratecellfatedeterminationattippingpointsduringhescdifferentiation
AT chengxin dynamicnetworkbiomarkerfactorsorchestratecellfatedeterminationattippingpointsduringhescdifferentiation
AT chenluonan dynamicnetworkbiomarkerfactorsorchestratecellfatedeterminationattippingpointsduringhescdifferentiation