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First Community-Wide, Comparative Cross-Linking Mass Spectrometry Study

Authors :
Iacobucci, Claudio
Piotrowski, Christine
Aebersold, Ruedi
Amaral, Bruno C.
Andrews, Philip
Bernfur, Katja
Borchers, Christoph
Brodie, Nicolas I.
Bruce, James E.
Cao, Yong
Chaignepain, Stéphane
Chavez, Juan D.
Claverol, Stéphane
Cox, Jürgen
Davis, Trisha
Degliesposti, Gianluca
Edinger, Nufar
Emanuelsson, Cecilia
Gay, Marina
Götze, Michael
Gomes-Neto, Francisco
Gozzo, Fabio C.
Gutierrez, Craig
Haupt, Caroline
Heck, Albert J.R.
Herzog, Franz
Huang, Lan
Hoopmann, Michael R.
Kalisman, Nir
Klykov, Oleg
Kukačka, Zdeněk
Liu, Fan
MacCoss, Michael J.
Mechtler, Karl
Mesika, Ravit
Moritz, Robert L.
Nagaraj, Nagarjuna
Nesati, Victor
Neves-Ferreira, Ana G.C.
Ninnis, Robert
Novák, Petr
O’Reilly, Francis J.
Pelzing, Matthias
Petrotchenko, Evgeniy
Piersimoni, Lolita
Plasencia, Manolo
Pukala, Tara
Rand, Kasper D.
Rappsilber, Juri
Reichmann, Dana
Sailer, Carolin
Sarnowski, Chris P.
Scheltema, Richard A.
Schmidt, Carla
Schriemer, David C.
Shi, Yi
Skehel, J. Mark
Slavin, Moriya
Sobott, Frank
Solis-Mezarino, Victor
Stephanowitz, Heike
Stengel, Florian
Stieger, Christian E.
Trabjerg, Esben
Trnka, Michael
Vilaseca, Marta
Viner, Rosa
Xiang, Yufei
Yilmaz, Sule
Zelter, Alex
Ziemianowicz, Daniel
Leitner, Alexander
Sinz, Andrea
Source :
Analytical Chemistry, 91 (11)
Publication Year :
2019
Publisher :
American Chemical Society, 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.<br />Analytical Chemistry, 91 (11)<br />ISSN:1520-6882<br />ISSN:0003-2700

Details

Language :
English
ISSN :
15206882 and 00032700
Database :
OpenAIRE
Journal :
Analytical Chemistry, 91 (11)
Accession number :
edsair.doi.dedup.....231ee4116ae174a2a387f90329c012a2