Dataset Information

Expression profiling and function analysis identified new cumulus cells-expressed genes and miRNAs predictive of oocyte developmental potential

ABSTRACT: Although studies have identified cumulus cells (CCs)-expressed genes/miRNAs that regulate cumulus expansion and/or CC apoptosis and may be used as markers for selection of competent oocytes/embryos, CCs-expressed genes/miRNAs whose expression levels are directly correlated with oocyte developmental potential (DP) are urgently needed. To identify CCs-expressed DP-directly-related genes/miRNAs, we first established CC models from mouse cumulus-oocyte-complexes that showed significantly different DP after maturation in vitro or in vivo. By conducting mRNA/miRNA sequencing and functional analysis using such in vitro and in vivo CC models, we identified and validated new sets of CCs-expressed genes/miRNAs, whose expression levels were directly correlated with oocyte DP. Thus, we identified and validated Spp1, Fn1, Sdc1 and Ngf as DP-beneficial genes, Fos and Jun as DP-detrimental genes, and miR-7686-5p, miR-133a-3p, novel-miR-239, novel-miR-193 and miR-339-5p as DP-detrimental miRNAs. Furthermore, the close similarities in top KEGG pathways among 4 different experiments suggest that CCs-expressed genes and/or miRNAs regulate oocyte DP mostly indirectly through regulating cumulus expansion and/or CC apoptosis. The new genes/miRNAs identified can be used as markers for selection of competent oocytes/embryos, and the data will contribute to elucidating oocyte maturation mechanisms.

ORGANISM(S): Mus musculus

PROVIDER: GSE291430 | GEO | 2025/06/18

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Purpose: The goal of this study was to identify differentially expressed genes and pathways between the cumulus of compact/unstimulated cumulus-oocyte-complex (COC) and the cumulus of expanded/stimulated COC. Methods: mRNA profiles of Compact/unstimulated cumulus cells (CCs) from germinal vesicle (GV) COC obtained from two patients undergoing unstimulated IVM procedure and expanded/stimulated CCs from metaphase 2 (MII) COC obtained from three patients undergoing IVF/ICSI were generated by deep sequencing using Illumina HiSeq 2000. The sequence reads that passed quality filters were mapped to the human genome (hg19) using Tophat software. Differential expression analysis was done using DESeq bioconductor package. qRT–PCR validation was performed using SYBR Green assays. Results: A total of 40-80 million sequence reads per sample were mapped to the human genome (hg19). A total of 1746 differentially expressed genes between compact and expanded CCs with fold change > 2, and adjusted p value < 0.05 were identified. Gene ontology analysis of differentially expressed genes revealed a number of cellular processes regulated during the periovulatory interval including cellular movement, inflammatory response, immune cell trafficking, tissue development, lipid metabolism, tissue morphology, DNA replication and cell cycle. A total of 116 of the differentially expressed genes were annotated as long non-coding RNAs, 10 of them coded from introns of genes known to be involved in granulosa cell processes suggesting that unique non coding RNA transcripts may contribute to the regulation of cumulus expansion and oocyte maturation. Results were validated using qRT-PCR. Conclusions: Using global transcriptome sequencing we identified new important genes and non coding RNAs involved in COC maturation and cumulus expansion, which may contribute to improve the process of in vitro maturation of immature oocytes utilized in IVM cycles mRNA profiles of Compact/unstimulated cumulus cells (CCs) from germinal vesicle (GV) COC obtained from two patients undergoing unstimulated IVM procedure and expanded/stimulated CCs from metaphase 2 (MII) COC obtained from three patients undergoing IVF/ICSI were generated by deep sequencing using Illumina HiSeq 2000.

Dataset Information

Expression profiling and function analysis identified new cumulus cells-expressed genes and miRNAs predictive of oocyte developmental potential

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets