4.7 Article

Identification of Regulatory Networks in HSCs and Their Immediate Progeny via Integrated Proteome, Transcriptome, and DNA Methylome Analysis

Journal

CELL STEM CELL
Volume 15, Issue 4, Pages 507-522

Publisher

CELL PRESS
DOI: 10.1016/j.stem.2014.07.005

Keywords

-

Funding

  1. BioRN Spitzencluster Molecular and Cell Based Medicine
  2. German Bundesministerium fur Bildung und Forschung
  3. EU
  4. Dietmar Hopp Foundation
  5. Deutsche Forschungsgemeinschaft [Sonderforschungsbereich SFB 873]
  6. Netherlands Organization for Scientific Research (NWO)
  7. DFG [SP1463]
  8. DKFZ (Epigenetics@DKFZ)
  9. Humboldt research fellowship for postdoctoral researchers

Ask authors/readers for more resources

In this study, we present integrated quantitative proteome, transcriptome, and methylome analyses of hematopoietic stem cells (HSCs) and four multipotent progenitor (MPP) populations. From the characterization of more than 6,000 proteins, 27,000 transcripts, and 15,000 differentially methylated regions (DMRs), we identified coordinated changes associated with early differentiation steps. DMRs show continuous gain or loss of methylation during differentiation, and the overall change in DNA methylation correlates inversely with gene expression at key loci. Our data reveal the differential expression landscape of 493 transcription factors and 682 lncRNAs and highlight specific expression clusters operating in HSCs. We also found an unexpectedly dynamic pattern of transcript isoform regulation, suggesting a critical regulatory role during HSC differentiation, and a cell cycle/DNA repair signature associated with multipotency in MPP2 cells. This study provides a comprehensive genome-wide resource for the functional exploration of molecular, cellular, and epigenetic regulation at the top of the hematopoietic hierarchy.

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