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BioMed Research International
Volume 2014 (2014), Article ID 213570, 7 pages
Review Article

High-Throughput Analysis of Ovarian Granulosa Cell Transcriptome

Third Chair of Surgery, Collegium Medicum, Jagiellonian University, Pradnicka 35-37, 31-202 Cracow, Poland

Received 17 November 2013; Revised 30 December 2013; Accepted 2 January 2014; Published 10 March 2014

Academic Editor: Irma Virant-Klun

Copyright © 2014 Ewa Chronowska. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The quality of follicular oocytes depends on interactions with surrounding granulosa cells. Development of molecular techniques and methods enables better understanding of processes underlying mammalian reproduction on cellular level. The success in reproductive biology and medicine in different species depends on reliable assessment of oocyte and embryo viability which presently mainly bases on embryo morphology. Although successful pregnancies have been achieved using this approach, its precision still should be improved and completed with other, more objective, and accurate assessment strategies. Global profiling of gene expression in follicular cumulus cells using microarrays is continuously leading to the establishment of new biomarkers which can be used to select oocytes with highest developmental potential. Even more potential applications and greater precision could be achieved using next generation sequencing (NGS) of granulosa and cumulus cell RNA (RNA-seq). However, due to the high cost, this method is not used as frequently as microarrays at the moment. In any case, high-throughput technologies offer the possibilities and advantages in ovarian somatic cell analysis on scale that has not been noted so far. The aim of this work is to present current directions and examples of global molecular profiling of granulosa cells and underline its impact on reproductive biology and medicine.