Bioinformatics approaches for improving seminal plasma proteome analysis

Zainab Noor; Shoba Ranganathan

doi:10.1016/j.theriogenology.2019.05.036

Bioinformatics approaches for improving seminal plasma proteome analysis

Theriogenology. 2019 Oct 1:137:43-49. doi: 10.1016/j.theriogenology.2019.05.036. Epub 2019 May 31.

Authors

Zainab Noor¹, Shoba Ranganathan²

Affiliations

¹ Department of Molecular Sciences, Macquarie University, Sydney, Australia.
² Department of Molecular Sciences, Macquarie University, Sydney, Australia. Electronic address: shoba.ranganathan@mq.edu.au.

PMID: 31186128
DOI: 10.1016/j.theriogenology.2019.05.036

Abstract

Reproduction efficiency of male animals is one of the key factors influencing the sustainability of livestock. Mass spectrometry (MS) based proteomics has become an important tool for studying seminal plasma proteomes. In this review, we summarize bioinformatics analysis strategies for current proteomics approaches, for identifying novel biomarkers of reproductive robustness.

Keywords: Bioinformatics; Data analysis; Data-independent acquisition; Mass spectrometry; Seminal plasma.

Publication types

Review

MeSH terms

Animals
Computational Biology*
Mass Spectrometry / methods*
Proteomics / methods*