High-Performance Workflow for Identifying Site-Specific Crosslinks Originating from a Genetically Incorporated, Photoreactive Amino Acid.

crosslinking disorder photo-crosslinking protein structure small heat shock proteins

Journal

Journal of proteome research
ISSN: 1535-3907
Titre abrégé: J Proteome Res
Pays: United States
ID NLM: 101128775

Informations de publication

Date de publication:
05 Jul 2024
Historique:
medline: 5 7 2024
pubmed: 5 7 2024
entrez: 5 7 2024
Statut: aheadofprint

Résumé

In conventional crosslinking mass spectrometry, proteins are crosslinked using a highly selective, bifunctional chemical reagent, which limits crosslinks to residues that are accessible and reactive to the reagent. Genetically incorporating a photoreactive amino acid offers two key advantages: any site can be targeted, including those that are inaccessible to conventional crosslinking reagents, and photoreactive amino acids can potentially react with a broad range of interaction partners. However, broad reactivity imposes additional challenges for crosslink identification. In this study, we incorporate benzoylphenylalanine (BPA), a photoreactive amino acid, at selected sites in an intrinsically disordered region of the human protein HSPB5. We report and characterize a workflow for identifying and visualizing residue-level interactions originating from BPA. We routinely identify 30 to 300 crosslinked peptide spectral matches with this workflow, which is up to ten times more than existing tools for residue-level BPA crosslink identification. Most identified crosslinks are assigned to a precision of one or two residues, which is supported by a high degree of overlap between replicate analyses. Based on these results, we anticipate that this workflow will support the more general use of genetically incorporated, photoreactive amino acids for characterizing the structures of proteins that have resisted high-resolution characterization.

Identifiants

pubmed: 38968604
doi: 10.1021/acs.jproteome.4c00194
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Lindsey D Ulmer (LD)

Department of Chemistry, University of Washington, P.O. Box 351700, Seattle, Washington 98195-1700, United States.

Daniele Canzani (D)

Department of Chemistry, University of Washington, P.O. Box 351700, Seattle, Washington 98195-1700, United States.

Christopher N Woods (CN)

Department of Biochemistry, University of Washington, P.O. Box 357350, Seattle, Washington 98195-7350, United States.

Natalie L Stone (NL)

Department of Biochemistry, University of Washington, P.O. Box 357350, Seattle, Washington 98195-7350, United States.

Maria K Janowska (MK)

Department of Biochemistry, University of Washington, P.O. Box 357350, Seattle, Washington 98195-7350, United States.

Rachel E Klevit (RE)

Department of Biochemistry, University of Washington, P.O. Box 357350, Seattle, Washington 98195-7350, United States.

Matthew F Bush (MF)

Department of Chemistry, University of Washington, P.O. Box 351700, Seattle, Washington 98195-1700, United States.

Classifications MeSH