Authors
Claudio Iacobucci, Christine Piotrowski, Ruedi Aebersold, Bruno C Amaral, Philip Andrews, Christoph Borchers, Nicolas I Brodie, James E Bruce, Stéphane Chaignepain, Juan D Chavez, Stéphane Claverol, Jürgen Cox, Gianluca Degliesposti, Meng-Qiu Dong, Nufar Edinger, Cecilia Emanuelsson, Marina Gay, Michael Götze, Fabio C Gozzo, Craig Gutierrez, Caroline Haupt, Albert JR Heck, Franz Herzog, 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, Robert Ninnis, Petr Novák, Francis J O’Reilly, Matthias Pelzing, Evgeniy Petrotchenko, Lolita Piersimoni, Manolo Plasencia, Tara Pukala, Kasper D Rand, Juri Rappsilber, Dana Reichmann, Caroline 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, Michael Trnka, Marta Vilaseca, Rosa Viner, Yufei Xiang, Sule Yilmaz, Alex Zelter, Daniel Ziemianowicz, Alexander Leitner, Andrea Sinz
Publication date
2018/9/26
Journal
bioRxiv
Pages
424697
Publisher
Cold Spring Harbor Laboratory
Description
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 largely 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 that are generally accepted in the field and that have shown to lead to high-quality 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. From the results obtained, common protocols will be established. Our study serves as basis for establishing best practice guidelines in the field for conducting cross-linking experiments, performing data analysis, and reporting formats with the ultimate goal of assisting scientists to generate accurate and reproducible XL-MS results.
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