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Epigenetic OCT4 regulatory network: stochastic analysis of cellular reprogramming.
Bruno, Simone; Schlaeger, Thorsten M; Del Vecchio, Domitilla.
Affiliation
  • Bruno S; Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
  • Schlaeger TM; Boston Children's Hospital Stem Cell Program, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA.
  • Del Vecchio D; Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA. ddv@mit.edu.
NPJ Syst Biol Appl ; 10(1): 3, 2024 Jan 06.
Article in En | MEDLINE | ID: mdl-38184707
ABSTRACT
Experimental studies have shown that chromatin modifiers have a critical effect on cellular reprogramming, i.e., the conversion of differentiated cells to pluripotent stem cells. Here, we develop a model of the OCT4 gene regulatory network that includes genes expressing chromatin modifiers TET1 and JMJD2, and the chromatin modification circuit on which these modifiers act. We employ this model to compare three reprogramming approaches that have been considered in the literature with respect to reprogramming efficiency and latency variability. These approaches are overexpression of OCT4 alone, overexpression of OCT4 with TET1, and overexpression of OCT4 with JMJD2. Our results show more efficient and less variable reprogramming when also JMJD2 and TET1 are overexpressed, consistent with previous experimental data. Nevertheless, TET1 overexpression can lead to more efficient reprogramming compared to JMJD2 overexpression. This is the case when the recruitment of DNA methylation by H3K9me3 is weak and the methyl-CpG-binding domain (MBD) proteins are sufficiently scarce such that they do not hamper TET1 binding to methylated DNA. The model that we developed provides a mechanistic understanding of existing experimental results and is also a tool for designing optimized reprogramming approaches that combine overexpression of cell-fate specific transcription factors (TFs) with targeted recruitment of epigenetic modifiers.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cellular Reprogramming / Gene Regulatory Networks Type of study: Prognostic_studies Language: En Journal: NPJ Syst Biol Appl Year: 2024 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cellular Reprogramming / Gene Regulatory Networks Type of study: Prognostic_studies Language: En Journal: NPJ Syst Biol Appl Year: 2024 Type: Article Affiliation country: United States