| Author/Editor | Devjak, Rok; Fon Tacer, Klementina; Juvan, Peter; Virant-Klun, Irma; Rozman, Damjana; Vrtačnik-Bokal, Eda | |
| Title | Cumulus cells gene expression profiling in terms of oocyte maturity in controlled ovarian hyperstimulation using GnRH agonist or GnRH antagonist | |
| Type | članek | |
| Vol. and No. | Letnik 7, št. 10 | |
| Publication year | 2012 | |
| Volume | str. 1-9 | |
| ISSN | 1932-6203 - PloS one | |
| Language | eng | |
| Abstract | In in vitro fertilization (IVF) cycles controlled ovarian hyperstimulation (COH) is established by gonadotropins in combination with gonadotropin-releasing hormone (GnRH) agonists or antagonists, to prevent premature luteinizing hormone (LH) surge. The aim of our study was to improve the understanding of gene expression profile of cumulus cells (CC) in terms ofovarian stimulation protocol and oocyte maturity. We applied Affymetrix geneexpression profiling in CC of oocytes at different maturation stages usingeither GnRH agonists or GnRH antagonists. Two analyses were performed: the first involved CC of immature metaphase I (MI) and mature metaphase II (MII) oocytes where 359 genes were differentially expressed, and the second involved the two GnRH analogues where no differentially expressed genes were observed at the entire transcriptome level. A further analysis of 359 differentially genes was performed, focusing on anti-Müllerian hormone receptor 2 (AMHR2), follicle stimulating hormone receptor (FSHR), vascular endothelial growth factor C (VEGFC) and serine protease inhibitor E2 (SERPINE2). Among other differentially expressed genes we observed a marked number of new genes connected to cell adhesion and neurotransmitters such as dopamine, glycine and Ž-Aminobutyric acid (GABA). No differential expression in CC between the two GnRH analogues supports the findings of clinical studieswhere no significant difference in live birth rates between both GnRH analogues has been proven. | |
| Keywords | invitro fertilization IVF ovarian hyperstimulation cumulus cells biological networks biomolecular networks network models protein structure networks |