4.7 Article

Molecular Signatures and Networks of Cardiomyocyte Differentiation in Humans and Mice

Journal

MOLECULAR THERAPY-NUCLEIC ACIDS
Volume 21, Issue -, Pages 696-711

Publisher

CELL PRESS
DOI: 10.1016/j.omtn.2020.07.011

Keywords

-

Funding

  1. National Natural Science Foundation of China [81870242, 81670208, M0048, 81873429]
  2. Shanghai Committee of Science and Technology [18JC1414300]
  3. CAMS Innovation Fund for Medical Sciences [2019-I2M5-053]
  4. China Scholarship Council

Ask authors/readers for more resources

Cardiomyocyte differentiation derived from embryonic stem cells (ESCs) is a complex process involving molecular regulation of multiple levels. In this study, we first identify and compare differentially expressed gene (DEG) signatures of ESC-derived cardiomyocyte differentiation (ESCDCD) in humans and mice. Then, the multiscale embedded gene co-expression network analysis (MEGENA) of the human ESCDCD dataset is performed to identify 212 significantly co-expressed gene modules, which capture well the regulatory information of cardiomyocyte differentiation. Three modules respectively involved in the regulation of stem cell pluripotency, Wnt, and calcium pathways are enriched in the DEG signatures of the differentiation phase transition in the two species. Three human-specific cardiomyocyte differentiation phase transition modules are identified. Moreover, the potential regulation mechanisms of transcription factors during cardiomyocyte differentiation are also illustrated. Finally, several novel key drivers of ESCDCD are identified with the evidence of their expression during mouse embryonic cardiomyocyte differentiation. Using an integrative network analysis, the core molecular signatures and gene subnetworks (modules) underlying cardiomyocyte lineage commitment are identified in both humans and mice. Our findings provide a global picture of gene-gene co-regulation and identify key regulators during ESCDCD.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available