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Gene Expression Profiling in the Aging Ovary

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Molecular Endocrinology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 590))

Abstract

DNA microarray is an important discovery technology that allows the analysis of the expression of thousands of genes at a time. Data from DNA microarrays elucidate fundamental biological processes through discovery of differential expression of genes not previously known or predicted to be involved in a particular process. In the ovary and other hormone-responsive tissues, the technology can be used to examine the effects of gene mutations, pharmaceutical agents, disease, hormones, developmental changes, or changes in gene expression related to aging.

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Acknowledgments

This work was supported in part by NSF IBN-0315717, NIH R15 HD044438 and by NIH INBRE 2P20 RR16479. The authors would like to thank Sandy Bradley for assistance with preparation of the manuscript.

Author information

Authors and Affiliations

  1. Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA

    Kathleen M. Eyster

  2. Department of Obstetrics and Gynecology, Sanford School of Medicine of The University of South Dakota, Sioux Falls, SD, USA

    John D. Brannian

Authors
  1. Kathleen M. Eyster
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  2. John D. Brannian
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Editor information

Editors and Affiliations

  1. College of Medicine, University of Kentucky, Rose Street 800, Lexington, 40536-0298, U.S.A.

    Ok-Kyong Park-Sarge

  2. Dept. Obstetrics & Gynecology, University of Kentucky, Rose Street 800, Lexington, 40536-0293, U.S.A.

    Thomas E. Curry

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© 2009 Humana Press, a part of Springer Science+Business Media, LLC

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Eyster, K.M., Brannian, J.D. (2009). Gene Expression Profiling in the Aging Ovary. In: Park-Sarge, OK., Curry, T. (eds) Molecular Endocrinology. Methods in Molecular Biology, vol 590. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-60327-378-7_5

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  • DOI: https://doi.org/10.1007/978-1-60327-378-7_5

  • Published:

  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-60327-377-0

  • Online ISBN: 978-1-60327-378-7

  • eBook Packages: Springer Protocols

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