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Proteomic approaches for profiling negative fertility markers in inferior boar spermatozoa.


ABSTRACT: The ability to predict male fertility is of paramount importance for animal breeding industries and for human reproduction. Conventional semen analysis generally provides information on the quantitative parameters of spermatozoa, but yields no information concerning its functional competence. Proteomics have identified candidates for male fertility biomarkers, but no studies have clearly identified the relationship between the proteome and sperm fertility. Therefore, we performed a proteomic analysis to investigate small and large litter size boar spermatozoa and identify proteins related to male fertility. In this study, 20 proteins showed differential expression levels in small and large litter size groups. Nineteen of these proteins exhibited decreased expression in large litter size samples and increased expression in the small litter group. Interestingly, only one protein was highly expressed in the large litter size spermatozoa. We then identified signaling pathways associated with the differentially expressed protein markers. Glutathione S-transferase Mu3 and glutathione peroxidase 4 were related to the glutathione metabolic pathway and arginine vasopressin receptor 2 was linked to vasopressin R2/STAT. In summary, this is the first study to consider negative fertility biomarkers, and the identified proteins could potentially be used as biomarkers for the detection of inferior male fertility.

SUBMITTER: Kwon WS 

PROVIDER: S-EPMC4562270 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature

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Proteomic approaches for profiling negative fertility markers in inferior boar spermatozoa.

Kwon Woo-Sung WS   Oh Shin-Ae SA   Kim Ye-Ji YJ   Rahman Md Saidur MS   Park Yoo-Jin YJ   Pang Myung-Geol MG  

Scientific reports 20150908


The ability to predict male fertility is of paramount importance for animal breeding industries and for human reproduction. Conventional semen analysis generally provides information on the quantitative parameters of spermatozoa, but yields no information concerning its functional competence. Proteomics have identified candidates for male fertility biomarkers, but no studies have clearly identified the relationship between the proteome and sperm fertility. Therefore, we performed a proteomic ana  ...[more]

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