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Lookup NU author(s): Dr Pawel PalmowskiORCiD,
Emeritus Professor Nick Europe-Finner,
Dr Magdalena Karolczak-Bayatti,
Dr Andrew Porter,
Dr Achim Treumann,
Professor Michael TaggartORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Advances in liquid chromatography‐mass spectrometry have facilitated the incorporation of proteomic studies to many biology experimental workflows. Data‐independent acquisition platforms, such as sequential window acquisition of all theoretical mass spectra (SWATH‐MS), offer several advantages for label‐free quantitative assessment of complex proteomes over data‐dependent acquisition (DDA) approaches. However, SWATH data interpretation requires spectral libraries as a detailed reference resource. The guinea pig (Cavia porcellus) is an excellent experimental model for translation to many aspects of human physiology and disease, yet there is limited experimental information regarding its proteome. To overcome this knowledge gap, a comprehensive spectral library of the guinea pig proteome is generated. Homogenates and tryptic digests are prepared from 16 tissues and subjected to >200 DDA runs. Analysis of >250 000 peptide‐spectrum matches resulted in a library of 73 594 peptides from 7666 proteins. Library validation is provided by i) analyzing externally derived SWATH files (https://doi.org/10.1016/j.jprot.2018.03.023) and comparing peptide intensity quantifications; ii) merging of externally derived data to the base library. This furnishes the research community with a comprehensive proteomic resource that will facilitate future molecular‐phenotypic studies using (re‐engaging) the guinea pig as an experimental model of relevance to human biology. The spectral library and raw data are freely accessible in the MassIVE repository (MSV000083199).
Author(s): Palmowski P, Watson R, Europe-Finner GN, Karolczak-Bayatti M, Porter A, Treumann A, Taggart MJ
Publication type: Article
Publication status: Published
Print publication date: 01/08/2019
Online publication date: 22/07/2019
Acceptance date: 13/07/2019
Date deposited: 23/07/2019
ISSN (print): 1615-9853
ISSN (electronic): 1615-9861
Publisher: Wiley-Blackwell Publishing Ltd.
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