Literature DB >> 30026272

Direct Reprogramming of Fibroblasts Into Smooth Muscle-Like Cells With Defined Transcription Factors-Brief Report.

Hiroyuki Hirai1,2, Bo Yang2, Minerva T Garcia-Barrio1, Oren Rom1, Peter X Ma3, Jifeng Zhang1, Y Eugene Chen1,2.   

Abstract

Objective- To identify the transcription factors that could contribute to direct reprogramming of fibroblasts toward smooth muscle cell fate. Approach and Results- We screened various combinations of transcription factors, including Myocd (myocardin), Mef2C (myocyte enhancer factor 2C), Mef2B (myocyte enhancer factor 2B), Mkl1 (MKL [megakaryoblastic leukemia]/Myocd-like 1), Gata4 (GATA-binding protein 4), Gata5 (GATA-binding protein 5), Gata6 (GATA-binding protein 6), Ets1 (E26 avian leukemia oncogene 1, 5' domain), and their corresponding carboxyterminal fusions to the transactivation domain of MyoD (myogenic differentiation 1)-indicated by *-for their effects on reprogramming mouse embryonic fibroblasts and human adult dermal fibroblasts to the smooth muscle cell fate as determined by the expression of specific markers. The combination of 3 transcription factors, Myocd (or Myocd*) with Mef2C (or Mef2C*) and Gata6, was the most efficient in enhancing the expression of smooth muscle marker genes and decreasing fibroblast gene expression. Additionally, the derived induced smooth muscle-like cells showed a contractile phenotype in response to carbachol. Conclusions- Combination of Myocd and Gata6 with Mef2C* (MG2*) could sufficiently and efficiently direct differentiation of mouse embryonic and human dermal fibroblasts into induced smooth muscle-like cells, thus opening new opportunities for disease modeling, tissue engineering, and personalized medicine.

Entities:  

Keywords:  animals; humans; mice; myocytes, smooth muscle; phenotype

Mesh:

Substances:

Year:  2018        PMID: 30026272      PMCID: PMC6434534          DOI: 10.1161/ATVBAHA.118.310870

Source DB:  PubMed          Journal:  Arterioscler Thromb Vasc Biol        ISSN: 1079-5642            Impact factor:   8.311


  31 in total

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