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Local signalling environments and human male infertility: what we can learn from mouse models

Published online by Cambridge University Press:  11 May 2010

Roopa L. Nalam  and
Martin M. Matzuk
Roopa L. Nalam
Affiliation:
Departments of Pathology and Immunology, Baylor College of Medicine, Houston, Texas 77030, USA. Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA.
Martin M. Matzuk*
Affiliation:
Departments of Pathology and Immunology, Baylor College of Medicine, Houston, Texas 77030, USA. Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA. Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA.
*
*Corresponding author: Martin M. Matzuk, Department of Pathology and Immunology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. E-mail: mmatzuk@bcm.tmc.edu
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Abstract

Infertility is one of the most prevalent public health problems facing young adult males in today's society. A clear, treatable cause of infertility cannot be determined in a large number of these patients, and a growing body of evidence suggests that infertility in many of these men may be due to genetic causes. Studies using mouse knockout technology have been integral for examination of normal spermatogenesis and to identify proteins essential for this process, which in turn are candidate genes for human male infertility. Successful spermatogenesis depends on a delicate balance of local signalling factors, and this review focuses on the genes that encode these factors. Normal functioning of all testicular cell types is essential for fertility and might also be crucial to prevent germ cell oncogenesis. Analysis of these signalling processes in spermatogenesis using mouse models has provided investigators with an invaluable tool to effectively translate basic science research to the research of human disease and infertility.

Type
Review Article
Information
Expert Reviews in Molecular Medicine , Volume 12 , January 2010 , e15
Copyright
Copyright © Cambridge University Press 2010

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