← BioTransfer GEO Dataset Finder
GEO series

Effect of OGT knockdown on gene expression in KGN ovarian granulosa cells

GSE316021 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2026/01/16 Platform GPL24676
Summary
This study aimed to elucidate the spatiotemporal expression pattern of O-GlcNAc transferase (OGT) and its catalyzed O-GlcNAc modification in ovarian tissues, and to investigate their specific functions in ovarian granulosa cells. To this end, high-throughput RNA sequencing was performed to analyze genome-wide transcriptional changes following OGT knockdown in the human ovarian granulosa cell line KGN. Two specific siRNAs targeting OGT (siOGT1 and siOGT2) and a negative control siRNA (siNC) were designed. Each group included two biological replicates, resulting in a total of six transcriptomic libraries. Sequencing was carried out on the Illumina NovaSeq 6000 platform with paired-end 150-bp reads. By comparing the siOGT-treated groups with the siNC control group, 300 and 487 differentially expressed genes (DEGs) were identified in the siOGT1 and siOGT2 groups, respectively, with 176 DEGs overlapping between the two groups. Pathway enrichment analysis indicated that OGT knockdown may affect pathways related to immune defense response, cellular reaction to external stimuli, and cytokine-mediated signaling. This dataset provides a transcriptomic profile of ovarian granulosa cells under OGT interference and serves as a key resource for further investigation into the regulatory mechanisms of the OGT/O-GlcNAc axis in ovarian physiology and pathology.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE316021_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 PRJNA1400483 and SRA study SRP660985. 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.