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    Dataset on the mass spectrometry-based proteomic profiling of the kidney from wild type and the dystrophic mdx-4cv mouse model of X-linked muscular dystrophy


    Dowling, Paul and Zweyer, Margit and Raucamp, Maren and Henry, Michael and Meleady, Paula and Swandulla, Dieter and Ohlendieck, Kay (2020) Dataset on the mass spectrometry-based proteomic profiling of the kidney from wild type and the dystrophic mdx-4cv mouse model of X-linked muscular dystrophy. Data in Brief, 28 (105067). pp. 1-9. ISSN 2352-3409

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    Abstract

    The proteomic data presented in this article provide supporting information to the related research article "Proteomic and cell biological profiling of the renal phenotype of the mdx-4cv mouse model of Duchenne muscular dystrophy" (Dowling et al., 2019) [1]. This article supplies additional datasets on protein species with increased versus decreased concentration in the kidney from the dystrophic mdx-4cv mouse, as well as tables with mass spectrometrically identified kidney marker proteins that exhibit characteristic tissue distributions, subcellular localizations and physiological functions. Information is provided on the underlying multi-consensus protein listings from the proteomic screening of both wild type and mdx-4cv mouse kidneys. The data article provides comprehensive information on the systematic and mass spectrometric identification of the mouse kidney proteome.

    Item Type: Article
    Additional Information: 2352-3409/© 2019 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/)
    Keywords: Kidney proteome; Mass spectrometry; Muscular dystrophy; Proteomics;
    Academic Unit: Faculty of Science and Engineering > Biology
    Item ID: 14961
    Identification Number: https://doi.org/10.1016/j.dib.2019.105067
    Depositing User: Paul Dowling
    Date Deposited: 26 Oct 2021 16:05
    Journal or Publication Title: Data in Brief
    Publisher: Elsevier
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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