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PMID: 16709260 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Large-scale and high-confidence proteomic analysis of human seminal plasma.

Genome biology ·Vol. 7 ·No. 5 ·2006-00-00 ·Pages R40

Pilch B, Mann M

Abstract

The development of mass spectrometric (MS) techniques now allows the investigation of very complex protein mixtures ranging from subcellular structures to tissues. Body fluids are also popular targets of proteomic analysis because of their potential for biomarker discovery. Seminal plasma has not yet received much attention from the proteomics community but its characterization could provide a future reference for virtually all studies involving human sperm. The fluid is essential for the survival of spermatozoa and their successful journey through the female reproductive tract. Here we report the high-confidence identification of 923 proteins in seminal fluid from a single individual. Fourier transform MS enabled parts per million mass accuracy, and two consecutive stages of MS fragmentation allowed confident identification of proteins even by single peptides. Analysis with GoMiner annotated two-thirds of the seminal fluid proteome and revealed a large number of extracellular proteins including many proteases. Other proteins originated from male accessory glands and have important roles in spermatozoan survival. This high-confidence characterization of seminal plasma content provides an inventory of proteins with potential roles in fertilization. When combined with quantitative proteomics methodologies, it should be useful for studies of fertilization, male infertility, and prostatic and testicular cancers.

MeSH Terms
Adult Humans Male Mass Spectrometry Proteome/analysis,physiology Proteomics/methods,standards Quality Control Semen/chemistry
Chemicals
Proteome
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Pilch Bartosz
Center for Experimental BioInformatics (CEBI), Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark.
Mann Matthias
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Article Info
Journal
Genome biology
Abbr.
Genome Biol
ISSN
1474-760X
Published
2006-00-00
Epub
2006-00-18
Pages
R40
Language
English
Region
England
NLM ID
100960660
PMCID
PMC1779515
Subset
IM
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