The abstract is read at the publisher; the summary is JClub's.
A phosphoproteome atlas covering over 200,000 class I phosphosites across 33 human cell lines enables single-shot phosphoproteomics with 30-fold faster data processing.
- Why it matters: Detection sensitivity, incomplete coverage, and computational bottlenecks—especially for low-input experiments—limit comprehensive phosphoproteomics and slow mapping of kinase-driven signaling in cancer.
- What they did: The study built an empirical human phosphoproteome resource from 33 diverse cell lines, then used it to improve single-shot analysis and phosphosite localization from minimal inputs.
- The result: By integrating proteome and phosphoproteome data, it defines a combined kinase activity score (Cscore) that reveals cell line- and cancer-specific signaling vulnerabilities linked to drug sensitivity.
The findingWhy it mattersWhat they didThe result
AI summary of the abstract · may contain errors · not medical advice · read the paper.