Current and emerging approaches to define intestinal epithelium-specific transcriptional networks.

Am J Physiol Gastrointest Liver Physiol

Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark.

Published: February 2012

AI Article Synopsis

  • The composition of transcription factors in regulatory networks plays a crucial role in determining gene expression and defining cell or tissue types based on developmental or environmental signals.
  • Novel techniques like ChIP-chip and ChIP-Seq are used to study transcription factors and their regulatory DNA elements specifically in the intestine, a tissue with dynamic changes from stem cells to specialized cells.
  • This review highlights current understanding of these transcriptional networks that drive epithelial differentiation in the adult intestine, discusses the technologies used to study them, and explores future research possibilities.

Article Abstract

Upon developmental or environmental cues, the composition of transcription factors in a transcriptional regulatory network is deeply implicated in controlling the signature of the gene expression and thereby specifies the cell or tissue type. Novel methods including ChIP-chip and ChIP-Seq have been applied to analyze known transcription factors and their interacting regulatory DNA elements in the intestine. The intestine is an example of a dynamic tissue where stem cells in the crypt proliferate and undergo a differentiation process toward the villus. During this differentiation process, specific regulatory networks of transcription factors are activated to target specific genes, which determine the intestinal cell fate. The expanding genomewide mapping of transcription factor binding sites and construction of transcriptional regulatory networks provide new insight into how intestinal differentiation occurs. This review summarizes the current overview of the transcriptional regulatory networks driving epithelial differentiation in adult intestine. The novel technologies that have been implied to study these networks are presented and their prospects for implications in future research are also addressed.

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http://dx.doi.org/10.1152/ajpgi.00362.2011DOI Listing

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