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Oocytes collected from prepubertal animals are known to be less developmentally competent than those from adult animals. There is evidence suggesting that acquisition of developmental competence in bovine oocytes may be linked to the expression profile of genes in the granulosa cells (GCs). Cumulus–oocyte complexes (COC) and GCs were collected from 12 Holstein heifers between 2 and 6 months of age (nine follicle‐stimulating hormone [FSH] treated and three untreated) and eight FSH‐treated cows. The COCs from prepubertal animals were matured, fertilized, and cultured in vitro to assess development to the blastocyst stage. The relative messenger RNA (mRNA) abundance of FSHR, StAR, CYP19A1, HSD3B1, CX43, FOXO1, and XIAP in GCs were quantified by real‐time quantitative polymerase chain reaction. Results from this study revealed that GCs of prepubertal animals respond to FSH treatment by increasing mRNA levels of genes promoting estradiol synthesis and follicular growth ( FSHR and CYP19A1), and preventing cell apoptosis ( XIAP), and by decreasing mRNA levels of genes promoting progesterone production ( StAR and HSD3B1). This study also revealed that the relative mRNA abundance of FOXO1 in GCs is associated with oocyte competence to support embryo development to the blastocyst stage in prepubertal Holstein heifers.

Follicle-stimulating hormone (FSH) regulates ovarian follicular development through a specific gene expression program. We analyzed FSH-regulated transcriptome and histone modification in granulosa cells during follicular development. We used super-stimulated immature mice and collected granulosa cells before and 48 h after stimulation with equine chorionic gonadotropin (eCG). We profiled the transcriptome using RNA-sequencing (N = 3/time-point) and genome-wide trimethylation of lysine 4 of histone H3 (H3K4me3; an active transcription marker) using chromatin immunoprecipitation and sequencing (ChIP-Seq; N = 2/time-point). Across the mouse genome, 14,583 genes had an associated H3K4me3 peak and 63-66% of these peaks were observed within ≤1 kb promoter region. There were 72 genes with differential H3K4me3 modification at 48 h eCG (absolute log fold change > 1; false discovery rate [FDR] < 0.05) relative to 0 h eCG. Transcriptome data analysis showed 1463 differentially expressed genes at 48 h eCG (absolute log fold change > 1; FDR < 0.05). Among the 20 genes with differential expression and altered H3K4me3 modification, Lhcgr had higher H3K4me3 abundance and expression, while Nrip2 had lower H3K4me3 abundance and expression. Using ChIP-qPCR, we showed that FSH-regulated expression of Lhcgr, Cyp19a1, Nppc, and Nrip2 through regulation of H3K4me3 at their respective promoters. Transcript isoform analysis using Kallisto-Sleuth tool revealed 875 differentially expressed transcripts at 48 h eCG (b > 1; FDR < 0.05). Pathway analysis of RNA-seq data demonstrated that TGF-β signaling and steroidogenic pathways were regulated at 48 h eCG. Thus, FSH regulates gene expression in granulosa cells through multiple mechanisms namely altered H3K4me3 modification and inducing specific transcripts. These data form the basis for further studies investigating how these specific mechanisms regulate granulosa cell functions.

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