Compact engineered human mechanosensitive transactivation modules enable potent and versatile synthetic transcriptional control

Nat Methods. 2023 Nov;20(11):1716-1728. doi: 10.1038/s41592-023-02036-1. Epub 2023 Oct 9.

Abstract

Engineered transactivation domains (TADs) combined with programmable DNA binding platforms have revolutionized synthetic transcriptional control. Despite recent progress in programmable CRISPR-Cas-based transactivation (CRISPRa) technologies, the TADs used in these systems often contain poorly tolerated elements and/or are prohibitively large for many applications. Here, we defined and optimized minimal TADs built from human mechanosensitive transcription factors. We used these components to construct potent and compact multipartite transactivation modules (MSN, NMS and eN3x9) and to build the CRISPR-dCas9 recruited enhanced activation module (CRISPR-DREAM) platform. We found that CRISPR-DREAM was specific and robust across mammalian cell types, and efficiently stimulated transcription from diverse regulatory loci. We also showed that MSN and NMS were portable across Type I, II and V CRISPR systems, transcription activator-like effectors and zinc finger proteins. Further, as proofs of concept, we used dCas9-NMS to efficiently reprogram human fibroblasts into induced pluripotent stem cells and demonstrated that mechanosensitive transcription factor TADs are efficacious and well tolerated in therapeutically important primary human cell types. Finally, we leveraged the compact and potent features of these engineered TADs to build dual and all-in-one CRISPRa AAV systems. Altogether, these compact human TADs, fusion modules and delivery architectures should be valuable for synthetic transcriptional control in biomedical applications.

MeSH terms

  • Animals
  • CRISPR-Cas Systems*
  • Fibroblasts / metabolism
  • Gene Expression Regulation*
  • Humans
  • Mammals / metabolism
  • Transcription Factors / genetics
  • Transcription Factors / metabolism
  • Transcriptional Activation

Substances

  • Transcription Factors