Literature DB >> 25712692

specL--an R/Bioconductor package to prepare peptide spectrum matches for use in targeted proteomics.

Christian Panse1, Christian Trachsel1, Jonas Grossmann1, Ralph Schlapbach1.   

Abstract

MOTIVATION: Targeted data extraction methods are attractive ways to obtain quantitative peptide information from a proteomics experiment. Sequential Window Acquisition of all Theoretical Spectra (SWATH) and Data Independent Acquisition (DIA) methods increase reproducibility of acquired data because the classical precursor selection is omitted and all present precursors are fragmented. However, especially for targeted data extraction, MS coordinates (retention time information precursor and fragment masses) are required for the particular entities (peptide ions). These coordinates are usually generated in a so-called discovery experiment earlier on in the project if not available in public spectral library repositories. The quality of the assay panel is crucial to ensure appropriate downstream analysis. For that, a method is needed to create spectral libraries and to export customizable assay panels.
RESULTS: Here, we present a versatile set of functions to generate assay panels from spectral libraries for use in targeted data extraction methods (SWATH/DIA) in the area of proteomics.
AVAILABILITY AND IMPLEMENTATION: specL is implemented in the R language and available under an open-source license (GPL-3) in Bioconductor since BioC 3.0 (R-3.1) http://www.bioconductor.org (Trachsel et al., 2015). A vignette with a complete tutorial describing data import/export and analysis is included in the package and can also be found as supplement material of this article. CONTACT: cp@fgcz.ethz.ch or jg@fgcz.ethz.ch SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2015        PMID: 25712692     DOI: 10.1093/bioinformatics/btv105

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  3 in total

1.  Engineered peptide barcodes for in-depth analyses of binding protein libraries.

Authors:  Pascal Egloff; Iwan Zimmermann; Fabian M Arnold; Cedric A J Hutter; Damien Morger; Lennart Opitz; Lucy Poveda; Hans-Anton Keserue; Christian Panse; Bernd Roschitzki; Markus A Seeger
Journal:  Nat Methods       Date:  2019-04-22       Impact factor: 28.547

2.  High-precision iRT prediction in the targeted analysis of data-independent acquisition and its impact on identification and quantitation.

Authors:  Roland Bruderer; Oliver M Bernhardt; Tejas Gandhi; Lukas Reiter
Journal:  Proteomics       Date:  2016-06-28       Impact factor: 3.984

Review 3.  Data-independent acquisition-based SWATH-MS for quantitative proteomics: a tutorial.

Authors:  Christina Ludwig; Ludovic Gillet; George Rosenberger; Sabine Amon; Ben C Collins; Ruedi Aebersold
Journal:  Mol Syst Biol       Date:  2018-08-13       Impact factor: 11.429

  3 in total

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