← BioTransfer GEO Dataset Finder
GEO series

Transcriptomic analysis of gastric cancer cells in response to stable over-expression of circRNA derived from hnRNPU (circ-hnRNPU)

GSE246847 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2024/11/02 Platform GPL20795
Summary
Circular RNA (circRNA) is a type of endogenous single-stranded and covalently closed non-coding RNA that plays emerging roles in tumorigenesis and aggressiveness. However, the functions and underlying mechanisms of circRNAs in regulating gastric cancer progression still remain elusive. We identify circ-hnRNPU, a circRNA derived from exons 5, 6, 7 and 8 of heterogeneous nuclear ribonucleoprotein U (hnRNPU), as a tumor suppressor of gastric cancer progression. To investigate the mechanisms underlying the functions of circ-hnRNPU, we employed the Illumina HiSeq X Ten as a discovery platform to analyze the transcriptome profiling changes of human gastric cancer MKN-45 and AGS cells in response to stable over-expression of circ-hnRNPU. The results showed that stable over-expression of circ-hnRNPU led to altered expression of 112 human mRNAs, including 64 up-regulated and 48 down-regulated genes, in both MKN-45 and AGS cells. Furthermore, we validated the RNA-seq results by real-time RT-PCR with high identity. Overall, our results provided fundamental information about the transcriptomic changes in response to circ-hnRNPU over-expression in human gastric cancer cells, and these findings will help us understand the pathogenesis of cancer progression.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE246847_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1034984 and SRA study SRP469860. 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.

+ 4 more — browse all 4 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.