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Ovarian Cancer pp 119–137Cite as

Microarray-Based Transcriptome Profiling of Ovarian Cancer Cells

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 1049))

Abstract

Transcriptome profiling is a powerful method for monitoring genes and their expression levels under a variety of conditions. Completion of the human genome and advances in high-throughput gene microarray instrumentation enables one to collect large amounts of data in a relatively short time. The challenge then becomes that of data analysis to identify patterns in expression changes and, from there, to relate the observed changes to functional compartments and pathways in cells, tissues, and organisms. Using cultured human ovarian cancer cells as an experimental model cellular system, we describe approaches that are used in analysis of the transcriptome, focusing on those genes encoding proteins and microRNAs. Coupled with other approaches described herein, one can also use the transcriptome to identify potential serum biomarkers, thus providing direction to what usually is a laborious search for low abundance proteins.

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Acknowledgements

This research was supported by NIH (DK069711, DK033973, and GM075331) and NSF (DBI-0354771, ITR-IIS-0407204, CCF-0621700, and DBI-0542119).

Author information

Authors and Affiliations

  1. Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, USA

    Juan Cui, Ying Xu & David Puett

Authors
  1. Juan Cui
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  2. Ying Xu
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  3. David Puett
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Editor information

Editors and Affiliations

  1. Group of Experimental Therapeutics, Federal State Institution N.N.Petrov Res Institute of Oncology, St. Petersburg, Russia

    Anastasia Malek

  2. Labs of Molecular Tumor Pathology & Func, Charité - Universitatsmedizin Berlin, Berlin, Germany

    Oleg Tchernitsa

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Cui, J., Xu, Y., Puett, D. (2013). Microarray-Based Transcriptome Profiling of Ovarian Cancer Cells. In: Malek, A., Tchernitsa, O. (eds) Ovarian Cancer. Methods in Molecular Biology, vol 1049. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-547-7_11

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  • DOI: https://doi.org/10.1007/978-1-62703-547-7_11

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  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-62703-546-0

  • Online ISBN: 978-1-62703-547-7

  • eBook Packages: Springer Protocols

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