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Cleavable Cross-Linkers Redefined by a Novel MS3-Trigger Algorithm.

Lars Kolbowski1, Lutz Fischer1, Juri Rappsilber1,2,3

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Analytical Chemistry
|October 10, 2023
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Summary
This summary is machine-generated.

A new algorithm significantly improves cross-linking mass spectrometry (MS) by enhancing MS3-triggered analysis for identifying cross-linked peptides, boosting sensitivity and specificity in structural systems biology.

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Area of Science:

  • Structural biology
  • Systems biology
  • Mass spectrometry

Background:

  • Cross-linking mass spectrometry (MS) is evolving from structural biology to systems biology.
  • MS-cleavable cross-linkers enable MS3-based identification of cross-linked peptides, reducing search space.
  • Current MS2 (MS/MS)-based approaches are more sensitive than MS3-based methods.

Purpose of the Study:

  • To address algorithmic limitations in MS3 triggering sensitivity and specificity.
  • To develop an improved algorithm for MS3-based cross-linked peptide identification.

Main Methods:

  • Development of a novel four-step MS3-trigger algorithm.
  • Comparative analysis against existing MS3 triggering methods.

Main Results:

  • The four-step MS3-trigger algorithm demonstrated significantly improved performance.
  • The algorithm's sensitivity and specificity approached theoretical limits.
  • Outperformed currently employed MS3-based methods.

Conclusions:

  • The developed algorithm enhances the utility of MS3-based cross-linking mass spectrometry.
  • This advancement facilitates more sensitive and specific identification of cross-linked peptides.
  • Enables more robust structural systems biology applications.