← BioTransfer GEO Dataset Finder
GEO series

Effect of RIPK2 knockdown on U118 cells related behavior

GSE286180 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/07/16 Platform GPL29480
Summary
IFN-Ⅰ plays an important role in the progression of LGG. We used a set of genes from MsigDB associated with interferon alpha responses, bioinformatic screening based on public databases, and validation of internal and external data to obtain relevant biomarkers. Immunohistochemical results of clinical samples showed that the higher the grade of glioma, the higher the expression of RIPK2 gene. Subsequently, U118 knockdown RIPK2 cell line was constructed, and the knockdown group could inhibit the proliferation of tumor cells and promote apoptosis. RNA-seq sequencing results showed that, compared with the control group, GO enrichment analysis showed that the differential genes were mainly concentrated in bioregulatory and molecular function related pathways such as ion gated channel activity and cell adhesion, and KEGG enrichment analysis showed that, Genes were mainly enriched in inflammatory pathways such as NF-kappa B signaling pathway, TNF signaling pathway and IL17 signaling pathway.
Published in
Identification of hub six interferon alpha response genes and immune cell infiltration characteristics in low-grade glioma
Zhang X, Song S, Zhou D et al. · Scientific reports 2025 · PMID 40651996 · doi:10.1038/s41598-025-09646-z
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE286180_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 PRJNA1208071 and SRA study SRP556240. 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.