Proteomics

Dataset Information

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Characterizing the dynamic oligomerization of Hsp90β using photo-cross-linking


ABSTRACT: Cross-linking mass spectrometry (XL-MS) is a powerful tool for probing protein structures. While conventional chemical cross-linkers react with specific residues with defined chemistry, photo-cross-linkers, despite their superior reactivity, have been hindered by incomplete mechanistic understanding and lack of analytical framework. Here, we show that diazirine-based photo-cross-links are inherently MS-cleavable, generating composite backbone and side-chain fragments that complicates spectral interpretation. Yet, leveraging the side-chain fragmentation fingerprints, we developed a machine learning model that, when integrated with existing search algorithms, significantly improves ion coverage and reduces false discovery rate. Furthermore, we engineered a homo-bifunctional diazirine cross-linker, enabling true on-demand photo-cross-linking. Applying this workflow, we captured transient tetrameric assemblies of human Hsp90β and revealed structural transitions in association equilibrium upon heat stress, features inaccessible with conventional chemical cross-linking. Together, our work establishes a new paradigm in XL-MS, combining temporal resolution of photo-activation with analytical confidence for residue-level structural insights.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Hela Cell

SUBMITTER: yida jiang  

LAB HEAD: Chun Tang

PROVIDER: PXD072009 | Pride | 2026-04-09

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
20250841_25_astral.raw Raw
20250841_25_orbitrap.raw Raw
20250841_37_astral.raw Raw
20250841_37_orbitrap.raw Raw
20250841_50_astral.raw Raw
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