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The Equine PeptideAtlas: a resource for developing proteomics-based veterinary research.

Louise Bundgaard1, Stine Jacobsen, Mette A Sørensen

  • 1Department of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Molecular Biology and Genetics, Faculty of Science and Technology, Aarhus University, Aarhus, Denmark.

Proteomics
|January 18, 2014
PubMed
Summary

This study introduces the first Equine PeptideAtlas, a valuable resource for veterinary research. It provides extensive proteomic data from horses, aiding in diagnostics and advancing equine-specific research.

Keywords:
Acute phase proteinsAnimal proteomicsEquinePeptideAtlasProteotypic peptides

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Area of Science:

  • Veterinary proteomics
  • Mass spectrometry-based proteomics
  • Equine research

Background:

  • Proteomic data for domestic animals, especially horses, is underrepresented in public repositories.
  • Advancements in mass spectrometry (MS)-based methods for veterinary diagnostics lag behind human research.

Purpose of the Study:

  • To establish the first Equine PeptideAtlas, a comprehensive proteomic resource for horses.
  • To facilitate equine research, diagnostics, and proteomic data mining.
  • To support experimental planning and validation of new datasets in equine studies.

Main Methods:

  • High-resolution tandem mass spectrometry (MS) analyses of 51 equine tissue and body fluid samples.
  • Data processing using the Trans-Proteomic Pipeline for protein and peptide identification.
  • Creation of a curated database with stringent quality control (0.2% peptide, 1.4% protein FDR).

Main Results:

  • The Equine PeptideAtlas contains 24,131 distinct peptides and 2,636 canonical proteins.
  • Data includes samples from both healthy and diseased horses.
  • Demonstrated utility by mining for equine acute phase proteins relevant to veterinary clinics.

Conclusions:

  • The Equine PeptideAtlas is a significant resource for equine proteomic research and veterinary diagnostics.
  • It enables experimental planning, data validation, and serves as a data mining tool.
  • The resource supports the design of targeted quantitative proteomic studies in horses.