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Transcriptomic analysis of human gastric cancer and normal epithelial tissues

GSE285296 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/01/22 Platform GPL20795
Summary
Small nucleolar RNAs (snoRNAs) are a highly conserved category of non-coding RNAs that play emerging roles in tumorigenesis and aggressiveness. However, the functions and underlying mechanisms of snoRNAs in regulating gastric cancer progression remain elusive. We identify SNORA37 as a driver of alternative splicing and gastric cancer progression. To explore the expression profiles of snoRNAs, we employed the Illumina HiSeq X Ten as a discovery platform to analyze the transcriptome profiling in three pairs of gastric cancer and corresponding normal epithelial specimens. The results showed 15 differentially expressed snoRNAs in gastric cancer tissues, including 9 up-regulated and 6 down-regulated snoRNAs. Meanwhile, 2204 alternative splicing events were also discovered in gastric cancer tissues compared to those in adjacent normal epithelial tissues. 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 human gastric cancer tissues, and these findings will help us understand the pathogenesis of cancer progression.
Published in
SNORA37/CMTR1/ELAVL1 feedback loop drives gastric cancer progression via facilitating CD44 alternative splicing
Bao B, Tian M, Wang X et al. · Journal of experimental & clinical cancer research : CR 2025 · PMID 39815331 · doi:10.1186/s13046-025-03278-x
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Direct links to NCBI, no account and no request form: the whole study as GSE285296_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 PRJNA1202184 and SRA study SRP553420. Searching any of these in the dataset finder brings you back here.

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