Optimized Cross-Linking Mass Spectrometry for in Situ Interaction Proteomics. Academic Article uri icon

Overview

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.

publication date

  • May 24, 2019

Research

keywords

  • Mass Spectrometry
  • Peptides
  • Protein Interaction Maps
  • Proteomics

Identity

PubMed Central ID

  • PMC7473601

Scopus Document Identifier

  • 85066443056

Digital Object Identifier (DOI)

  • 10.1021/acs.jproteome.9b00085

PubMed ID

  • 31083951

Additional Document Info

volume

  • 18

issue

  • 6