PASSEL: The PeptideAtlas SRMexperiment library

Public repositories for proteomics data have accelerated proteomics research by enabling more efficient cross‐analyses of datasets, supporting the creation of protein and peptide compendia of experimental results, supporting the development and testing of new software tools, and facilitating the manuscript review process. The repositories available to date have been designed to accommodate either shotgun experiments or generic proteomic data files. Here, we describe a new kind of proteomic data repository for the collection and representation of data from selected reaction monitoring (SRM) measurements. The PeptideAtlas SRM Experiment Library (PASSEL) allows researchers to easily submit proteomic data sets generated by SRM. The raw data are automatically processed in a uniform manner and the results are stored in a database, where they may be downloaded or browsed via a web interface that includes a chromatogram viewer. PASSELenables cross‐analysis of SRMdata, supports optimization of SRMdata collection, and facilitates the review process of SRMdata. Further, PASSELwill help in the assessment of proteotypic peptide performance in a wide array of samples containing the same peptide, as well as across multiple experimental protocols.

[1]  Brendan MacLean,et al.  Bioinformatics Applications Note Gene Expression Skyline: an Open Source Document Editor for Creating and Analyzing Targeted Proteomics Experiments , 2022 .

[2]  Lennart Martens,et al.  mzML—a Community Standard for Mass Spectrometry Data* , 2010, Molecular & Cellular Proteomics.

[3]  Jingchun Chen,et al.  ATAQS: A computational software tool for high throughput transition optimization and validation for selected reaction monitoring mass spectrometry , 2011, BMC Bioinformatics.

[4]  Robertson Craig,et al.  Open source system for analyzing, validating, and storing protein identification data. , 2004, Journal of proteome research.

[5]  Damon May,et al.  MRMer, an Interactive Open Source and Cross-platform System for Data Extraction and Visualization of Multiple Reaction Monitoring Experiments*S⃞ , 2008, Molecular & Cellular Proteomics.

[6]  Chris F. Taylor,et al.  A common open representation of mass spectrometry data and its application to proteomics research , 2004, Nature Biotechnology.

[7]  Nichole L. King,et al.  Integration with the human genome of peptide sequences obtained by high-throughput mass spectrometry , 2004, Genome Biology.

[8]  Eric W. Deutsch,et al.  The PeptideAtlas project , 2005, Nucleic Acids Res..

[9]  R. Aebersold,et al.  Selected reaction monitoring for quantitative proteomics: a tutorial , 2008, Molecular systems biology.

[10]  Lennart Martens,et al.  PRIDE: The proteomics identifications database , 2005, Proteomics.

[11]  Jennifer A Mead,et al.  MRMaid, the Web-based Tool for Designing Multiple Reaction Monitoring (MRM) Transitions* , 2009, Molecular & Cellular Proteomics.

[12]  Susan E Abbatiello,et al.  Automated detection of inaccurate and imprecise transitions in peptide quantification by multiple reaction monitoring mass spectrometry. , 2010, Clinical chemistry.

[13]  R. Aebersold,et al.  mProphet: automated data processing and statistical validation for large-scale SRM experiments , 2011, Nature Methods.

[14]  Lennart Martens,et al.  TraML—A Standard Format for Exchange of Selected Reaction Monitoring Transition Lists* , 2011, Molecular & Cellular Proteomics.

[15]  Jennifer A. Cham,et al.  MRMaid-DB: a repository of published SRM transitions. , 2010, Journal of proteome research.

[16]  R. Aebersold,et al.  A uniform proteomics MS/MS analysis platform utilizing open XML file formats , 2005, Molecular systems biology.

[17]  Ruedi Aebersold,et al.  Using the Human Plasma PeptideAtlas to study human plasma proteins. , 2011, Methods in molecular biology.

[18]  Jayson A. Falkner,et al.  Tranche: decentralized data storage for the proteomics community , 2007 .

[19]  Natalie I. Tasman,et al.  A guided tour of the Trans‐Proteomic Pipeline , 2010, Proteomics.

[20]  R. Aebersold,et al.  Mass spectrometry-based proteomics , 2003, Nature.

[21]  Ruedi Aebersold,et al.  High-throughput generation of selected reaction-monitoring assays for proteins and proteomes , 2010, Nature Methods.

[22]  Nichole L. King,et al.  Targeted Quantitative Analysis of Streptococcus pyogenes Virulence Factors by Multiple Reaction Monitoring*S , 2008, Molecular & Cellular Proteomics.

[23]  Henry H. N. Lam,et al.  PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows , 2008, EMBO reports.

[24]  Ruedi Aebersold,et al.  Options and considerations when selecting a quantitative proteomics strategy , 2010, Nature Biotechnology.