← BioTransfer GEO Dataset Finder
GEO series

CNOT6L regulates energy metabolism in the ovarian granulosa cells associated with polycystic ovary syndrome.

GSE294074 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/06/16 Platform GPL21311
Summary
As somatic cells surround the oocyte, the endocrine functions exerted by ovarian granulosa cells (GCs) are crucial factors in maintaining follicle development, as oocyte development relies on the provision of energy substrates and cytokines by ovarian granulosa cells. The mRNA deadenylase level of granulosa cells precisely regulates the transcription processes of key molecules involved in oocyte maturation. In this study, we detect the expression level of the deadenylase CNOT6L in PCOS patients' granulosa cells and mouse models' ovaries. We found that the CNOT6L significantly upregulated in the ovarian granulosa cells of both PCOS patients and mouse models. Subsequently, we overexpressed CNOT6L granulosa cells to explore the alternations by which CNOT6L regulates ovarian granulosa cell function. We also found that overexpression of CNOT6L in granulosa cells significantly inhibited the glycolytic pathway, activated the mitochondrial oxidative phosphorylation pathway, led to a reduction in the generation of the intermediate product lactate, and resulted in impaired energy supply to the oocyte. Subsequently, we performed Full-length transcriptome sequencing on the granulosa cells and investigated the impact of mRNA poly(A) level differences on granulosa cell dysfunction in PCOS. This study offers new insights into the role of Cnot6l in regulating energy metabolism homeostasis and its involvement in follicular developmental disorders related to polycystic ovary syndrome.
Published in
CNOT6L regulates energy metabolism in the ovarian granulosa cells associated with polycystic ovary syndrome
Han S, Xie Y, Lv J et al. · Frontiers in cell and developmental biology 2025 · PMID 40458121 · doi:10.3389/fcell.2025.1607161
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE294074_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1247999 and SRA study SRP577258. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.