Single-cell data-driven mathematical model reveals possible molecular mechanisms of embryonic stem-cell differentiation

Embryonic development is widely studied due to its application in disease treatment. The published literature demonstrated that Krüppel-like factor 8(KLF8) plays an important role in modulating mesendoderm to definitive endoderm (DE) differentiation. However, it is not clear how KLF8 interacts with...

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Main Authors: Xiao Tu, Qinran Zhang, Wei Zhang, Xiufen Zou
Format: Article
Language:English
Published: AIMS Press 2019-06-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2019294?viewType=HTML
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author Xiao Tu
Qinran Zhang
Wei Zhang
Xiufen Zou
author_facet Xiao Tu
Qinran Zhang
Wei Zhang
Xiufen Zou
author_sort Xiao Tu
collection DOAJ
description Embryonic development is widely studied due to its application in disease treatment. The published literature demonstrated that Krüppel-like factor 8(KLF8) plays an important role in modulating mesendoderm to definitive endoderm (DE) differentiation. However, it is not clear how KLF8 interacts with other key genes and affects the differentiation process. To qualitatively and quantitatively explore the molecular mechanisms of KLF8 during the differentiation of human embryonic stem cells (hESCs) in detail, we developed a mathematical model to describe the dynamics between KLF8 and two other significant genes, E-cadherin(CDH1) and Zinc-finger E-box-binding homeobox1(ZEB1). Based on the single-cell RNA-seq data, the model structure and parameters were obtained using particle swarm optimization (PSO). The bifurcation analysis and simulation results reveal that the system can exhibit a complex tristable transition, which corresponds to the three states of embryonic development at the single-cell level. We further predict that the novel important gene KLF8 promotes the formation of DE cells by reciprocal inhibition between CDH1 and KLF8 and promotion of the expression of ZEB1. These results may help to shed light on the biological mechanism in the differentiation process of hESCs.
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spelling doaj.art-6488d803ca9247eba69de14c2ceb1aa52022-12-22T00:40:53ZengAIMS PressMathematical Biosciences and Engineering1551-00182019-06-011655877589610.3934/mbe.2019294Single-cell data-driven mathematical model reveals possible molecular mechanisms of embryonic stem-cell differentiationXiao Tu0Qinran Zhang1Wei Zhang 2Xiufen Zou31. School of Mathematics and Statistics, Wuhan University, Wuhan, P. R. China1. School of Mathematics and Statistics, Wuhan University, Wuhan, P. R. China2. School of Science, East China Jiaotong University, Nanchang, P. R. China1. School of Mathematics and Statistics, Wuhan University, Wuhan, P. R. ChinaEmbryonic development is widely studied due to its application in disease treatment. The published literature demonstrated that Krüppel-like factor 8(KLF8) plays an important role in modulating mesendoderm to definitive endoderm (DE) differentiation. However, it is not clear how KLF8 interacts with other key genes and affects the differentiation process. To qualitatively and quantitatively explore the molecular mechanisms of KLF8 during the differentiation of human embryonic stem cells (hESCs) in detail, we developed a mathematical model to describe the dynamics between KLF8 and two other significant genes, E-cadherin(CDH1) and Zinc-finger E-box-binding homeobox1(ZEB1). Based on the single-cell RNA-seq data, the model structure and parameters were obtained using particle swarm optimization (PSO). The bifurcation analysis and simulation results reveal that the system can exhibit a complex tristable transition, which corresponds to the three states of embryonic development at the single-cell level. We further predict that the novel important gene KLF8 promotes the formation of DE cells by reciprocal inhibition between CDH1 and KLF8 and promotion of the expression of ZEB1. These results may help to shed light on the biological mechanism in the differentiation process of hESCs.https://www.aimspress.com/article/doi/10.3934/mbe.2019294?viewType=HTMLembryonic stem cells(escs)single-cell databifurcationmolecular mechanismstristability
spellingShingle Xiao Tu
Qinran Zhang
Wei Zhang
Xiufen Zou
Single-cell data-driven mathematical model reveals possible molecular mechanisms of embryonic stem-cell differentiation
Mathematical Biosciences and Engineering
embryonic stem cells(escs)
single-cell data
bifurcation
molecular mechanisms
tristability
title Single-cell data-driven mathematical model reveals possible molecular mechanisms of embryonic stem-cell differentiation
title_full Single-cell data-driven mathematical model reveals possible molecular mechanisms of embryonic stem-cell differentiation
title_fullStr Single-cell data-driven mathematical model reveals possible molecular mechanisms of embryonic stem-cell differentiation
title_full_unstemmed Single-cell data-driven mathematical model reveals possible molecular mechanisms of embryonic stem-cell differentiation
title_short Single-cell data-driven mathematical model reveals possible molecular mechanisms of embryonic stem-cell differentiation
title_sort single cell data driven mathematical model reveals possible molecular mechanisms of embryonic stem cell differentiation
topic embryonic stem cells(escs)
single-cell data
bifurcation
molecular mechanisms
tristability
url https://www.aimspress.com/article/doi/10.3934/mbe.2019294?viewType=HTML
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AT weizhang singlecelldatadrivenmathematicalmodelrevealspossiblemolecularmechanismsofembryonicstemcelldifferentiation
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