Proteomics

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Don’t Waste Time – Ensure Success in Your Cross-Linking Mass Spectrometry Experiments Before You Begin.


ABSTRACT: Cross-linking mass spectrometry (XL-MS) is becoming a more popular tool for researchers to turn towards for studying proteins and their complexes of interest especially in complex samples such as lysates or whole-cells. Studying a targeted proteins in a complex mixture can be difficult as data on other higher abundant proteins may dominate, leaving little information on complexes of interest. Although it is known that cross-linking favours proteins of higher abundances, it is yet unclear what it means to be “abundant” to expect good cross-linking data. In this paper, we show that proteins of interest should be at least in the top 20 % abundance range to expect more than one cross-link found per protein. Furthermore, we show that a classical bottom-up LC-MS/MS experiment and iBAQ analysis can help determine the abundance level of proteins and a simple method to follow their enrichment if necessary. We hope that this guideline can be a starting point for researchers who would like to use XL-MS to study their protein of interest and help ensure a successful cross-linking experiment from the beginning.

INSTRUMENT(S): Orbitrap Eclipse

ORGANISM(S): Bacteria Neisseria Meningitidis Serogroup C (strain 8013)

SUBMITTER: Lucienne Nouchikian  

LAB HEAD: Julia Chamot-Rooke

PROVIDER: PXD045792 | Pride | 2024-02-07

REPOSITORIES: Pride

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Do Not Waste Time─Ensure Success in Your Cross-Linking Mass Spectrometry Experiments before You Begin.

Nouchikian Lucienne L   Fernandez-Martinez David D   Renard Pierre-Yves PY   Sabot Cyrille C   Duménil Guillaume G   Rey Martial M   Chamot-Rooke Julia J  

Analytical chemistry 20240131 6


Cross-linking mass spectrometry (XL-MS) has become a very useful tool for studying protein complexes and interactions in living systems. It enables the investigation of many large and dynamic assemblies in their native state, providing an unbiased view of their protein interactions and restraints for integrative modeling. More researchers are turning toward trying XL-MS to probe their complexes of interest, especially in their native environments. However, due to the presence of other potentiall  ...[more]

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