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dc.contributor.advisorSutovsky, Petereng
dc.contributor.authorKennedy, Chelsey E.eng
dc.date.issued2011eng
dc.date.submitted2011 Falleng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on June 7, 2012).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionThesis advisor: Dr. Peter Sutovskyeng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionM.S. University of Missouri--Columbia 2011.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Animal sciences.eng
dc.description"December 2011"eng
dc.description.abstractSemen evaluation via traditional light microscopy provides information about sperm motility and basic morphology but has a limited ability to predict reproductive performance in an assisted reproduction setting. In-depth analysis carried out quickly and with repeatable precision on a large number of sperm cells is important to human assisted reproductive therapies (ART) and farm animal biotechnology. As a result, flow cytometric evaluation using biomarkers to detect specific spermatozoon characteristics is growing in popularity in both andrology laboratories and agricultural studs. Here we investigate the application of two biomarkers, the sperm chromatin structure assay (SCSA) and the post-acrosomal ww-domain binding protein (PAWP) to human assisted reproductive therapy and an agricultural bull stud, respectively. Analysis of the results of SCSA, infertility treatment outcomes, and the occurrence of spontaneous abortions (SAB) and multiple births was conducted in 233 couples. A correlation was found between SCSA parameters and SAB, and lower levels of chromatin defects were found in men from couples with triplet pregnancies. In a second trial, semen samples from 162 sires in artificial insemination (AI) service were analyzed using flow cytometry after labeling with an anti-PAWP antibody. Measurements yielded statistically significant correlations between PAWP intensities and several fertility parameters used by the AI industry. Based on these two studies, we conclude that biomarkers such as SCSA and PAWP are useful for the evaluation of spermatozoa and may be predictive of the outcome of assisted reproduction.eng
dc.format.extentvi, 77 pageseng
dc.identifier.urihttp://hdl.handle.net/10355/14550
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcollectionUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.subjectspermatozoaeng
dc.subjectflow cytometryeng
dc.subjectreproductive performanceeng
dc.subjectassisted reproductioneng
dc.titleNegative biomarkers of sperm quality and male fertilityeng
dc.typeThesiseng
thesis.degree.disciplineAnimal sciences (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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