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Originally published as Genetics Published Articles Ahead of Print on July 29, 2007.

Genetics, Vol. 177, 179-194, September 2007, Copyright © 2007
doi:10.1534/genetics.107.074823

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Genomewide Discovery and Classification of Candidate Ovarian Fertility Genes in the Mouse

Teresa D. Gallardo, George B. John, Lane Shirley, Cristina M. Contreras, Esra A. Akbay, J. Marshall Haynie, Samuel E. Ward, Meredith J. Shidler and Diego H. Castrillon1

Department of Pathology and Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas 75390-9072

1 Corresponding author: University of Texas Southwestern Medical Center, Department of Pathology, 6000 Harry Hines Blvd., Dallas, TX 75390-9072.
E-mail: diego.castrillon{at}utsouthwestern.edu

Female infertility syndromes are among the most prevalent chronic health disorders in women, but their genetic basis remains unknown because of uncertainty regarding the number and identity of ovarian factors controlling the assembly, preservation, and maturation of ovarian follicles. To systematically discover ovarian fertility genes en masse, we employed a mouse model (Foxo3) in which follicles are assembled normally but then undergo synchronous activation. We developed a microarray-based approach for the systematic discovery of tissue-specific genes and, by applying it to Foxo3 ovaries and other samples, defined a surprisingly large set of ovarian factors (n = 348, ~1% of the mouse genome). This set included the vast majority of known ovarian factors, 44% of which when mutated produce female sterility phenotypes, but most were novel. Comparative profiling of other tissues, including microdissected oocytes and somatic cells, revealed distinct gene classes and provided new insights into oogenesis and ovarian function, demonstrating the utility of our approach for tissue-specific gene discovery. This study will thus facilitate comprehensive analyses of follicle development, ovarian function, and female infertility.




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[Abstract] [Full Text] [PDF]


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Copyright © 2007 by the Genetics Society of America.