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stem.MAP: Identification of cell-type-specific protein complexes in mammalian embryonic stem cells.
bioRxiv · · Preprint · Open access
Rajaraman, Fischer + 3 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
stem.MAP identifies 3,986 protein complexes in mouse embryonic stem cells, covering ~133,000 unique interactions across 8,616 proteins, including stem-cell–critical variant complexes.
- Why it matters: Cell-type-specific protein complexes are needed to explain molecular mechanisms in early embryogenesis, but no comprehensive catalog existed for embryonic stem cells.
- What they did: The authors built a proteomics-based machine learning workflow that combines a cell-type-agnostic complex resource with co-fractionation mass spectrometry (CF-MS) from mESC. They then generated the stem.MAP catalog and validated specific interaction patterns using additional evidence such as AlphaFold modeling.
- The result: stem.MAP captures mutually exclusive mESC-specific interactions and reports 1,388 high-confidence interactions found only in mESC CF-MS, enabling context-specific interaction networks for early development.
The findingWhy it mattersWhat they didThe result
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