| Literature DB >> 31083951 |
Zheng Ser, Paolo Cifani, Alex Kentsis1.
Abstract
Recent development of mass spectrometer cleavable protein cross-linkers and algorithms for their spectral identification now permits large-scale cross-linking mass spectrometry (XL-MS). Here, we optimized the use of cleavable disuccinimidyl sulfoxide (DSSO) cross-linker for labeling native protein complexes in live human cells. We applied a generalized linear mixture model to calibrate cross-link peptide-spectra matching (CSM) scores to control the sensitivity and specificity of large-scale XL-MS. Using specific CSM score thresholds to control the false discovery rate, we found that higher-energy collisional dissociation (HCD) and electron transfer dissociation (ETD) can both be effective for large-scale XL-MS protein interaction mapping. We found that the coverage of protein-protein interaction maps is significantly improved through the use of multiple proteases. In addition, the use of focused sample-specific search databases can be used to improve the specificity of cross-linked peptide spectral matching. Application of this approach to human chromatin labeled in live cells recapitulated known and revealed new protein interactions of nucleosomes and other chromatin-associated complexes in situ. This optimized approach for mapping native protein interactions should be useful for a wide range of biological problems.Entities:
Keywords: BSA; chromatin; cross-linking; database search; false positive discovery; mass spectrometry; protein−protein interactions; proteomics; target-decoy strategy
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Year: 2019 PMID: 31083951 DOI: 10.1021/acs.jproteome.9b00085
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466