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Cornulin transcriptomic analysis in Cal27 oral cancer cells

GSE302640 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2026/01/12 Platform GPL24676
Summary
RNA-Seq profiling of Cal27 Oral squamous carcinoma cells overexpressing Cornulin (CRNN), GFP control, and untreated group (UNT) to study differential gene expression. This project investigates the transcriptomic alterations induced by the overexpression of Cornulin (CRNN) in the Cal27 human oral squamous cell carcinoma cell line. The study design included three experimental groups: (1) Cornulin-overexpressing Cal27 cells, (2) GFP-expressing Cal27 cells as vector controls, and (3) untreated Cal27 cells. Total RNA was extracted using Trizol reagent, followed by RNA quality assessment via Bioanalyzer. Strand-specific mRNA libraries were prepared using the TruSeq Stranded mRNA kit, pooled at 6 nM, and sequenced using an Illumina NovaSeq 6000 S4 flow cell in a paired-end (2x100 bp) configuration. Raw FASTQ files were analyzed by aligning to the human genome (GRCh38), and gene-level quantification was performed. Differential expression analysis was conducted using the DESeq2 R package. DEG lists from each comparison group were subjected to pre-ranked gene set enrichment analysis (GSEA) to identify enriched pathways and gene ontologies. The dataset provides insights into Cornulin-mediated gene regulation.
Published in
Cornulin, a potential prognostic biomarker in head and neck squamous cell carcinoma, acts as an anti-tumour agent by inhibiting cell cycle through upregulation of p18
Kaur R, Chauhan A, Saini KK et al. · British journal of cancer 2026 · PMID 41145788 · doi:10.1038/s41416-025-03222-y
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Direct links to NCBI, no account and no request form: the whole study as GSE302640_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 PRJNA1291633 and SRA study SRP600894. Searching any of these in the dataset finder brings you back here.

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