Literature DB >> 28834274

Improving Protein Detection Confidence Using SWATH-Mass Spectrometry with Large Peptide Reference Libraries.

Jemma X Wu1, Dana Pascovici1, Vera Ignjatovic2, Xiaomin Song1, Christoph Krisp1, Mark P Molloy1.   

Abstract

Protein quantification using data-independent acquisition methods such as SWATH-MS most commonly relies on spectral matching to a reference MS/MS assay library. To enable deep proteome coverage and efficient use of existing data, in silico approaches have been described to use archived or publicly available large reference spectral libraries for spectral matching. Since implicit in the use of larger libraries is the increasing likelihood of false-discoveries, new workflows are needed to ensure high confidence in protein matching under these conditions. We present a workflow which introduces a range of filters and thresholds aimed at increasing confidence that the resulting proteins are reliably detected and their quantitation is consistent and reproducible. We demonstrated the workflow using extended libraries with SWATH data from human plasma samples and yeast-spiked human K562 cell lysate digest.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  SWATH; false-discovery rate; quantification; spectral library

Mesh:

Substances:

Year:  2017        PMID: 28834274     DOI: 10.1002/pmic.201700174

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  2 in total

1.  A new SWATH ion library for mouse adult hippocampal neural stem cells.

Authors:  Clarissa Braccia; Meritxell Pons Espinal; Mattia Pini; Davide De Pietri Tonelli; Andrea Armirotti
Journal:  Data Brief       Date:  2018-02-27

2.  A Swath Label-Free Proteomics insight into the Faah-/- Mouse Liver.

Authors:  Zeeshan Hamid; Maria Summa; Andrea Armirotti
Journal:  Sci Rep       Date:  2018-08-14       Impact factor: 4.379

  2 in total

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