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RAStoERK: A reference interaction atlas for insights into signaling and disease.
Cell Reports · · Journal Article
Vucak, Didusch + more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
RAStoERK simultaneously mapped interactomes of all RAS/RAF/MEK/ERK components and their activating/inactivating mutations, identifying 2,500 high-confidence interactors, 88% previously unreported.
- Why it matters: A systems-level view of how this pathway interfaces with broader cellular context is missing, limiting understanding of paralog-specific roles, mutation-driven rewiring, and cross-pathway integration.
- What they did: The team generated a high-confidence reference interaction map of the pathway in resting and activated states by mapping interactomes for pathway components and their activating/inactivating mutations.
- The result: Dataset exploration reveals paralog- and mutation-specific interaction signatures and pathway-level crosstalk, including previously unknown connections to mRNA metabolism and WNT signaling, enabling unbiased discovery and mechanistic/therapeutic exploration.
The findingWhy it mattersWhat they didThe result