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 language | English (US) |
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Pages (from-to) | 1087-1105.e4 |
Journal | Developmental cell |
Volume | 58 |
Issue number | 12 |
DOIs | |
State | Published - Jun 19 2023 |
All Science Journal Classification (ASJC) codes
- Molecular Biology
- General Biochemistry, Genetics and Molecular Biology
- Developmental Biology
- Cell Biology
Keywords
- cardiac
- congenital heart disease
- heart
- heart development
- metabolism
- mevalonate pathway
- proteomics