Abstract
Protein-protein interactions mediate essential cellular processes, however the detection of native interactions is challenging since they are often low affinity and context dependent. Here, we develop a chemical proteomics approach in vivo CLASPI [iCLASPI] (in vivo crosslinking-assisted and stable isotope labeling by amino acids in cell culture [SILAC]-based protein identification) relying upon photo-crosslinking, amber suppression, and SILAC-based quantitative proteomics to profile context-dependent protein-protein interactions in living cells. First, we use iCLASPI to profile in vivo binding partners of the N-terminal tails of soluble histone H3 or H4. We identify known histone chaperones and modifying proteins, thereby validating our approach, and find an interaction between soluble histone H3 and UBR7, an E3 ubiquitin ligase, mediated by UBR7's PHD domain. Furthermore, we apply iCLASPI to profile the context-dependent protein-protein interactions of chromatin-associated histone H3 at different cell-cycle stages, and identify ANP32A as a mitosis-specific interactor. Our results demonstrate that the iCLASPI approach can provide a general strategy for identifying native, context-dependent direct protein-protein interactions using photo-crosslinking and quantitative proteomics. Protein-protein interactions mediate essential biological processes, but characterizing these interactions in cells presents a major challenge. Kleiner et al. describe a chemical proteomics approach combining photo-crosslinking and SILAC-based proteomics to characterize context-dependent direct protein-protein interactions in live cells. They apply their approach to profile interactions involving core histones H3 and H4.
Original language | English (US) |
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Pages (from-to) | 110-120.e3 |
Journal | Cell Chemical Biology |
Volume | 25 |
Issue number | 1 |
DOIs | |
State | Published - Jan 18 2018 |
All Science Journal Classification (ASJC) codes
- Biochemistry
- Molecular Medicine
- Molecular Biology
- Pharmacology
- Drug Discovery
- Clinical Biochemistry
Keywords
- chemical proteomics
- chromatin
- protein-protein interactions