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Epigenetic factor competition reshapes the EMT landscape.
Al-Radhawi, M Ali; Tripathi, Shubham; Zhang, Yun; Sontag, Eduardo D; Levine, Herbert.
Afiliação
  • Al-Radhawi MA; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115.
  • Tripathi S; Center for Theoretical Biological Physics, Northeastern University, Boston, MA 02115.
  • Zhang Y; Center for Theoretical Biological Physics, Northeastern University, Boston, MA 02115.
  • Sontag ED; PhD Program in Systems, Synthetic, and Physical Biology, Rice University, Houston, TX 77005.
  • Levine H; Department of Physics, Northeastern University, Boston, MA 02115.
Proc Natl Acad Sci U S A ; 119(42): e2210844119, 2022 10 18.
Article em En | MEDLINE | ID: mdl-36215492
ABSTRACT
The emergence of and transitions between distinct phenotypes in isogenic cells can be attributed to the intricate interplay of epigenetic marks, external signals, and gene-regulatory elements. These elements include chromatin remodelers, histone modifiers, transcription factors, and regulatory RNAs. Mathematical models known as gene-regulatory networks (GRNs) are an increasingly important tool to unravel the workings of such complex networks. In such models, epigenetic factors are usually proposed to act on the chromatin regions directly involved in the expression of relevant genes. However, it has been well-established that these factors operate globally and compete with each other for targets genome-wide. Therefore, a perturbation of the activity of a regulator can redistribute epigenetic marks across the genome and modulate the levels of competing regulators. In this paper, we propose a conceptual and mathematical modeling framework that incorporates both local and global competition effects between antagonistic epigenetic regulators, in addition to local transcription factors, and show the counterintuitive consequences of such interactions. We apply our approach to recent experimental findings on the epithelial-mesenchymal transition (EMT). We show that it can explain the puzzling experimental data, as well as provide verifiable predictions.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Histonas / Transição Epitelial-Mesenquimal Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Histonas / Transição Epitelial-Mesenquimal Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article