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Quantitative cross-linking/mass spectrometry reveals subtle protein conformational changes. | LitMetric

Quantitative cross-linking/mass spectrometry reveals subtle protein conformational changes.

Wellcome Open Res

Wellcome Trust Centre for Cell Biology, Institute of Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, EH9 3BF, UK.

Published: November 2016

AI Article Synopsis

  • - QCLMS is a method that analyzes protein structure and dynamics by comparing the amounts of cross-links formed under different conditions, which helps reveal important changes in protein configuration.
  • - The study applied QCLMS to the human complement protein C3 and its derivative C3b, noting how small and large conformational changes influenced the detectability of protein cross-links.
  • - The researchers established a standardized workflow and coding practices to support QCLMS, positioning it as a valuable technique for tracking how proteins interact and change shape in various biological processes.

Article Abstract

Quantitative cross-linking/mass spectrometry (QCLMS) probes protein structural dynamics in solution by quantitatively comparing the yields of cross-links between different conformational statuses. We have used QCLMS to understand the final maturation step of the proteasome lid and also to elucidate the structure of complement C3(H2O). Here we benchmark our workflow using a structurally well-described reference system, the human complement protein C3 and its activated cleavage product C3b. We found that small local conformational changes affect the yields of cross-linking residues that are near in space while larger conformational changes affect the detectability of cross-links. Distinguishing between minor and major changes required robust analysis based on replica analysis and a label-swapping procedure. By providing workflow, code of practice and a framework for semi-automated data processing, we lay the foundation for QCLMS as a tool to monitor the domain choreography that drives binary switching in many protein-protein interaction networks.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5140025PMC
http://dx.doi.org/10.12688/wellcomeopenres.9896.1DOI Listing

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