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First community-wide, comparative cross-linking mass spectrometry study

Research output: Contribution to journalReview article

  • Claudio Iacobucci
  • Christine Piotrowski
  • Ruedi Aebersold
  • Bruno C. Amaral
  • Philip Andrews
  • Katja Bernfur
  • Christoph Borchers
  • Nicolas I. Brodie
  • James E. Bruce
  • Yong Cao
  • Stéphane Chaignepain
  • Juan D. Chavez
  • Stéphane Claverol
  • Jürgen Cox
  • Trisha Davis
  • Gianluca Degliesposti
  • Meng Qiu Dong
  • Nufar Edinger
  • Cecilia Emanuelsson
  • Marina Gay
  • Michael Götze
  • Francisco Gomes-Neto
  • Fabio C. Gozzo
  • Craig Gutierrez
  • Caroline Haupt
  • Albert J.R. Heck
  • Lan Huang
  • Michael R. Hoopmann
  • Nir Kalisman
  • Oleg Klykov
  • Zdeněk Kukačka
  • Fan Liu
  • Michael J. Maccoss
  • Karl Mechtler
  • Ravit Mesika
  • Robert L. Moritz
  • Nagarjuna Nagaraj
  • Victor Nesati
  • Ana G.C. Neves-Ferreira
  • Robert Ninnis
  • Petr Novák
  • Francis J. O'Reilly
  • Matthias Pelzing
  • Evgeniy Petrotchenko
  • Lolita Piersimoni
  • Manolo Plasencia
  • Tara Pukala
  • Kasper D. Rand
  • Dana Reichmann
  • Carolin Sailer
  • Chris P. Sarnowski
  • Richard A. Scheltema
  • Carla Schmidt
  • David C. Schriemer
  • Yi Shi
  • J. Mark Skehel
  • Moriya Slavin
  • Frank Sobott
  • Victor Solis-Mezarino
  • Heike Stephanowitz
  • Florian Stengel
  • Christian E. Stieger
  • Esben Trabjerg
  • Michael Trnka
  • Marta Vilaseca
  • Rosa Viner
  • Yufei Xiang
  • Sule Yilmaz
  • Alex Zelter
  • Daniel Ziemianowicz
  • Alexander Leitner
  • Andrea Sinz

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Original languageEnglish
Pages (from-to)6953-6961
Number of pages9
JournalAnalytical Chemistry
Volume91
Issue number11
Early online date2 May 2019
DOIs
Publication statusPublished - 4 Jun 2019

Abstract

The number of publications in the field of chemical cross-linking combined with mass spectrometry (XL-MS) to derive constraints for protein three-dimensional structure modeling and to probe protein-protein interactions has increased during the last years. As the technique is now becoming routine for in vitro and in vivo applications in proteomics and structural biology there is a pressing need to define protocols as well as data analysis and reporting formats. Such consensus formats should become accepted in the field and be shown to lead to reproducible results. This first, community-based harmonization study on XL-MS is based on the results of 32 groups participating worldwide. The aim of this paper is to summarize the status quo of XL-MS and to compare and evaluate existing cross-linking strategies. Our study therefore builds the framework for establishing best practice guidelines to conduct cross-linking experiments, perform data analysis, and define reporting formats with the ultimate goal of assisting scientists to generate accurate and reproducible XL-MS results.

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