Communication between cells in ovarian follicle is a prerequisite for oocyte maturation and ovarian functions, disturbances of which lead to infertility. Polycystic ovarian syndrome (PCOS) and poor response to hormonal stimulation in infertility treatment are types of subfertility of ovarian aetiology. The current project addresses the importance of intercellular communication in human ovarian follicle by combining various RNA sequencing methods (RNA-seq) with systems biology analysis. The full-length single molecule RNA-seq will be exploited to characterize the mRNA isoform map of ovarian granulosa cell populations. MicroRNA profile of cells and follicular fluids will also be analysed. Single-cell RNA-seq will describe immune cell populations in the ovarian pre-ovulatory follicle. The datasets will be integrated to model communication between follicular cells to reveal signalling pathways disturbed by (post-)transcriptional events in PCOS and poorly responding IVF patients.
Recognitions
Laureate of the national science communication competition “Science in 3 Minutes”