Nature MethodsBioinformaticsPeer-reviewed journal article
PROTEOME-SCALE RECOMBINANT STANDARDS AND A ROBUST HIGH-SPEED SEARCH ENGINE TO ADVANCE CROSS-LINKING MS-BASED INTERACTOMICS
Milan Avila ClaseniD, Max RuwoltiD, Cong WangiD, Julia RutaiD, Boris BogdanowiD, Louise Ulrich KurtiD, Zehong ZhangiD, Shuai WangiD, Fabio Cesar GozzoiD, Tao CheniD, Paulo C. CarvalhoiD, Diogo Borges LimaiD, Fan LiuiD
Abstract
AO_SCPLOWBSTRACTC_SCPLOWAdvancing data analysis tools for proteome-wide cross-linking mass spectrometry (XL-MS) requires ground-truth standards that mimic biological complexity. Here, we develop wellcontrolled XL-MS standards comprising hundreds of recombinant proteins that are systematically mixed for cross-linking. We use one standard dataset to guide the development of Scout, a search engine for XL-MS with MS-cleavable cross-linkers. Using other, independent datasets from our standards as well as published datasets, we benchmark the performance of Scout and existing XL-MS software. This demonstrates that Scout offers the best combination of speed, sensitivity, and false-discovery rate control. These results illustrate how our large recombinant standards can support the development of XL-MS analysis tools and evaluation of XL-MS results.
- assay: proteomics
- research focus: benchmarking
- research focus: software / tool
- research focus: database / resource
- approach: statistical model
- approach: benchmark study
- Citations
- 46
- FWCI
- 5.72
- Field percentile
- top 2%
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