Quantitative proteomic profiling identifies global protein network dynamics in murine embryonic heart development

Whitney Edwards, Todd M. Greco, Gregory E. Miner, Natalie K. Barker, Laura Herring, Sarah Cohen, Ileana M. Cristea, Frank L. Conlon

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Defining the mechanisms that govern heart development is essential for identifying the etiology of congenital heart disease. Here, quantitative proteomics was used to measure temporal changes in the proteome at critical stages of murine embryonic heart development. Global temporal profiles of the over 7,300 proteins uncovered signature cardiac protein interaction networks that linked protein dynamics with molecular pathways. Using this integrated dataset, we identified and demonstrated a functional role for the mevalonate pathway in regulating the cell cycle of embryonic cardiomyocytes. Overall, our proteomic datasets are a resource for studying events that regulate embryonic heart development and contribute to congenital heart disease.

Original languageEnglish (US)
Pages (from-to)1087-1105.e4
JournalDevelopmental cell
Volume58
Issue number12
DOIs
StatePublished - Jun 19 2023

All Science Journal Classification (ASJC) codes

  • General Biochemistry, Genetics and Molecular Biology
  • Molecular Biology
  • Cell Biology
  • Developmental Biology

Keywords

  • cardiac
  • congenital heart disease
  • heart
  • heart development
  • metabolism
  • mevalonate pathway
  • proteomics

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