Literature DB >> 36206732

Cross-lineage potential of Ascl1 uncovered by comparing diverse reprogramming regulatomes.

Haofei Wang1, Benjamin Keepers2, Yunzhe Qian3, Yifang Xie1, Marazzano Colon1, Jiandong Liu2, Li Qian4.   

Abstract

Direct reprogramming has revolutionized the fields of stem cell biology and regenerative medicine. However, the common mechanisms governing how reprogramming cells undergo transcriptome and epigenome remodeling (i.e., regulatome remodeling) have not been investigated. Here, by characterizing early changes in the regulatome of three different types of direct reprogramming, we identify lineage-specific features as well as common regulatory transcription factors. Of particular interest, we discover that the neuronal factor Ascl1 possesses cross-lineage potential; together with Mef2c, it drives efficient cardiac reprogramming toward a mature and induced cardiomyocyte phenotype. Through ChIP-seq and RNA-seq, we find that MEF2C drives the shift in ASCL1 binding away from neuronal genes toward cardiac genes, guiding their co-operative epigenetic and transcription activities. Together, these findings demonstrate the existence of common regulators of different direct reprogramming and argue against the premise that transcription factors possess only lineage-specific capabilities for altering cell fate - the basic premise used to develop direct reprogramming approaches.
Copyright © 2022 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ascl1; Mef2c; cardiac reprogramming; cell fate conversion; direct reprogramming; epigenetics; neuronal reprogramming; regulatome

Mesh:

Substances:

Year:  2022        PMID: 36206732      PMCID: PMC9557912          DOI: 10.1016/j.stem.2022.09.006

Source DB:  PubMed          Journal:  Cell Stem Cell        ISSN: 1875-9777            Impact factor:   25.269


  46 in total

1.  Direct conversion of mouse fibroblasts to hepatocyte-like cells by defined factors.

Authors:  Sayaka Sekiya; Atsushi Suzuki
Journal:  Nature       Date:  2011-06-29       Impact factor: 49.962

2.  Context-Specific Transcription Factor Functions Regulate Epigenomic and Transcriptional Dynamics during Cardiac Reprogramming.

Authors:  Nicole R Stone; Casey A Gifford; Reuben Thomas; Karishma J B Pratt; Kaitlen Samse-Knapp; Tamer M A Mohamed; Ethan M Radzinsky; Amelia Schricker; Lin Ye; Pengzhi Yu; Joke G van Bemmel; Kathryn N Ivey; Katherine S Pollard; Deepak Srivastava
Journal:  Cell Stem Cell       Date:  2019-07-03       Impact factor: 24.633

3.  Master transcription factors and mediator establish super-enhancers at key cell identity genes.

Authors:  Warren A Whyte; David A Orlando; Denes Hnisz; Brian J Abraham; Charles Y Lin; Michael H Kagey; Peter B Rahl; Tong Ihn Lee; Richard A Young
Journal:  Cell       Date:  2013-04-11       Impact factor: 41.582

4.  Selective inhibition of tumor oncogenes by disruption of super-enhancers.

Authors:  Jakob Lovén; Heather A Hoke; Charles Y Lin; Ashley Lau; David A Orlando; Christopher R Vakoc; James E Bradner; Tong Ihn Lee; Richard A Young
Journal:  Cell       Date:  2013-04-11       Impact factor: 41.582

5.  Re-patterning of H3K27me3, H3K4me3 and DNA methylation during fibroblast conversion into induced cardiomyocytes.

Authors:  Ziqing Liu; Olivia Chen; Michael Zheng; Li Wang; Yang Zhou; Chaoying Yin; Jiandong Liu; Li Qian
Journal:  Stem Cell Res       Date:  2016-02-27       Impact factor: 2.020

6.  Trajectory-based differential expression analysis for single-cell sequencing data.

Authors:  Sandrine Dudoit; Lieven Clement; Koen Van den Berge; Hector Roux de Bézieux; Kelly Street; Wouter Saelens; Robrecht Cannoodt; Yvan Saeys
Journal:  Nat Commun       Date:  2020-03-05       Impact factor: 14.919

7.  Dissecting engineered cell types and enhancing cell fate conversion via CellNet.

Authors:  Samantha A Morris; Patrick Cahan; Hu Li; Anna M Zhao; Adrianna K San Roman; Ramesh A Shivdasani; James J Collins; George Q Daley
Journal:  Cell       Date:  2014-08-14       Impact factor: 41.582

8.  Integrated analysis of multimodal single-cell data.

Authors:  Yuhan Hao; Stephanie Hao; Erica Andersen-Nissen; William M Mauck; Shiwei Zheng; Andrew Butler; Maddie J Lee; Aaron J Wilk; Charlotte Darby; Michael Zager; Paul Hoffman; Marlon Stoeckius; Efthymia Papalexi; Eleni P Mimitou; Jaison Jain; Avi Srivastava; Tim Stuart; Lamar M Fleming; Bertrand Yeung; Angela J Rogers; Juliana M McElrath; Catherine A Blish; Raphael Gottardo; Peter Smibert; Rahul Satija
Journal:  Cell       Date:  2021-05-31       Impact factor: 41.582

9.  deepTools2: a next generation web server for deep-sequencing data analysis.

Authors:  Fidel Ramírez; Devon P Ryan; Björn Grüning; Vivek Bhardwaj; Fabian Kilpert; Andreas S Richter; Steffen Heyne; Friederike Dündar; Thomas Manke
Journal:  Nucleic Acids Res       Date:  2016-04-13       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.