CRISPR Tools for Physiology and Cell State Changes: Potential of Transcriptional Engineering and Epigenome Editing

Physiol Rev. 2021 Jan 1;101(1):177-211. doi: 10.1152/physrev.00034.2019. Epub 2020 Jun 11.

Abstract

Given the large amount of genome-wide data that have been collected during the last decades, a good understanding of how and why cells change during development, homeostasis, and disease might be expected. Unfortunately, the opposite is true; triggers that cause cellular state changes remain elusive, and the underlying molecular mechanisms are poorly understood. Although genes with the potential to influence cell states are known, the historic dependency on methods that manipulate gene expression outside the endogenous chromatin context has prevented us from understanding how cells organize, interpret, and protect cellular programs. Fortunately, recent methodological innovations are now providing options to answer these outstanding questions, by allowing to target and manipulate individual genomic and epigenomic loci. In particular, three experimental approaches are now feasible due to DNA targeting tools, namely, activation and/or repression of master transcription factors in their endogenous chromatin context; targeting transcription factors to endogenous, alternative, or inaccessible sites; and finally, functional manipulation of the chromatin context. In this article, we discuss the molecular basis of DNA targeting tools and review the potential of these new technologies before we summarize how these have already been used for the manipulation of cellular states and hypothesize about future applications.

Keywords: CRISPR; cell states; cell types; dCas9; epigenetic screens; epigenome editing; transcriptional engineering.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • CRISPR-Cas Systems*
  • Cell Physiological Phenomena / physiology*
  • Epigenesis, Genetic*
  • Epigenomics
  • Gene Editing*
  • Genetic Engineering / methods*
  • Humans
  • Physiology / methods*
  • Transcription, Genetic