Microarray-based transcriptome profiling of ovarian cancer cells

Juan Cui, Ying Xu, David Puett

Research output: Chapter in Book/Report/Conference proceedingChapter


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.

Original languageEnglish (US)
Title of host publicationOvarian Cancer
Subtitle of host publicationMethods and Protocols
EditorsAnastasia Malek, Oleg Tchernitsa
Number of pages19
StatePublished - 2013
Externally publishedYes

Publication series

NameMethods in Molecular Biology
ISSN (Print)1064-3745


  • MicroRNAs
  • Microarray analysis
  • Ovarian cancer
  • Pathway identification
  • Serum biomarker prediction
  • Transcriptomic analysis

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics


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