TraML—A Standard Format for Exchange of Selected Reaction Monitoring Transition Lists

Eric W. Deutsch(Institute for Systems Biology), Matthew Chambers(Vanderbilt University), Steffen Neumann(Leibniz Institute of Plant Biochemistry), Fredrik Levander(Lund University), Pierre‐Alain Binz(SIB Swiss Institute of Bioinformatics), Jim Shofstahl(Thermo Fisher Scientific (United States)), David Campbell(Institute for Systems Biology), Luis Mendoza(Institute for Systems Biology), David Ovelleiro(European Bioinformatics Institute), Kenny Helsens(Ghent University), Lennart Martens(Ghent University), Ruedi Aebersold(Center for Pediatric Endocrinology Zurich), Robert L. Moritz(Institute for Systems Biology), Mi‐Youn Brusniak(Institute for Systems Biology)
Molecular & Cellular Proteomics
December 12, 2011
Cited by 103Open Access
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Abstract

Targeted proteomics via selected reaction monitoring is a powerful mass spectrometric technique affording higher dynamic range, increased specificity and lower limits of detection than other shotgun mass spectrometry methods when applied to proteome analyses. However, it involves selective measurement of predetermined analytes, which requires more preparation in the form of selecting appropriate signatures for the proteins and peptides that are to be targeted. There is a growing number of software programs and resources for selecting optimal transitions and the instrument settings used for the detection and quantification of the targeted peptides, but the exchange of this information is hindered by a lack of a standard format. We have developed a new standardized format, called TraML, for encoding transition lists and associated metadata. In addition to introducing the TraML format, we demonstrate several implementations across the community, and provide semantic validators, extensive documentation, and multiple example instances to demonstrate correctly written documents. Widespread use of TraML will facilitate the exchange of transitions, reduce time spent handling incompatible list formats, increase the reusability of previously optimized transitions, and thus accelerate the widespread adoption of targeted proteomics via selected reaction monitoring.


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