Proteome of equine oviducal fluid: effects of ovulation and pregnancy

2017 ◽  
Vol 29 (6) ◽  
pp. 1085 ◽  
Author(s):  
Katrien Smits ◽  
Hilde Nelis ◽  
Katleen Van Steendam ◽  
Jan Govaere ◽  
Kim Roels ◽  
...  

The equine oviduct plays a pivotal role in providing the optimal microenvironment for early embryonic development, but little is known about the protein composition of the oviducal fluid in the horse. The aim of the present study was to provide a large-scale identification of proteins in equine oviducal fluid and to determine the effects of ovulation and pregnancy. Four days after ovulation, the oviducts ipsilateral and contralateral to the ovulation side were collected from five pregnant and five non-pregnant mares. Identification and relative quantification of proteins in the oviducal fluid of the four groups was achieved by isobaric tags for relative and absolute quantification (iTRAQ) labelling and HPLC–tandem mass spectrometry. The presence of an embryo in the ipsilateral oviducal fluid of pregnant mares induced upregulation of 11 and downregulation of two proteins compared with the contralateral side, and upregulation of 19 proteins compared with the ipsilateral side of non-pregnant mares. Several of these upregulated proteins are related to early pregnancy in other species. The present study represents the first high-throughput identification of proteins in the oviducal fluid of the mare. The results support the hypothesis that the equine embryo interacts with the oviduct, affecting the maternal secretion pattern of proteins involved in pregnancy-related pathways.

Author(s):  
Haipeng Wang

Protein identification (sequencing) by tandem mass spectrometry is a fundamental technique for proteomics which studies structures and functions of proteins in large scale and acts as a complement to genomics. Analysis and interpretation of vast amounts of spectral data generated in proteomics experiments present unprecedented challenges and opportunities for data mining in areas such as data preprocessing, peptide-spectrum matching, results validation, peptide fragmentation pattern discovery and modeling, and post-translational modification (PTM) analysis. This article introduces the basic concepts and terms of protein identification and briefly reviews the state-of-the-art relevant data mining applications. It also outlines challenges and future potential hot spots in this field.


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