An integrated analysis of multiple datasets reveals novel gene signatures in human granulosa cells.

ABSTRACT: Granulosa cells (GCs) play crucial roles in oocyte maturation. Through gap junctions and extracellular vesicles, they mediate the exchange of molecules such as microRNAs and messenger RNAs. Different ovarian cell types exhibit unique gene expression profiles, reflecting their specialized functions and stages. By combining RNA-seq data from various cell types forming the follicle, we aimed at capturing a wide range of expression patterns, offering insights into the functional diversity and complexity of the transcriptome regulation across GCs. Herein, we performed an integrated bioinformatics analysis of RNA sequencing datasets present in public databases, with a unique and standardized workflow., By combining the data from different studies, we successfully increased the robustness and rel

SUBMITTER: Dhori X 

PROVIDER: S-EPMC11379948 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature