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Effects of EGCG, resveratrol and their combination on gene expression

GSE305867 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2026/04/22 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 24 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
24 samples: 6 × No treatment Control, vs 6 × EGCG 40μM, vs 6 × Resveratrol 15μM, vs 6 × EGCG 40μM + Resveratrol 15 μM,Groups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Chemoprevention of 4-NQO-Induced Oral Cancer by the Combination of Resveratrol and EGCG: In Vivo, In Silico and In Vitro StudiesCancers · 2026
Summary (written by the submitters)
Natural products available in vegetables, fruits and spices have drawn great deal of attention because of their chemopreventive potential. The purpose of this RNASeq experiment is to investigate the effect of two natural compounds EGCG and reveratrol and their combination on gene expression. Head and neck cancer cell line MDA686TU was treated with 40 μM EGCG, 15 μM resveratrol and their combination for 24 h.
Read the full summary ↓
Total RNA was used for RNASeq. RNASeq libraries were sequenced in a 2 × 50 paired-end design on an Illumina HiSeq1500. Raw reads were imported from the Illumina HiSeq1500 using bcl2fastq2 v2.17.1.14 (Illumina) and trimmed to remove adapter content and low-quality base calls, with reads trimmed to a length of less than 25 bases removed from further analysis using Trimmomatic v0.36. Quality of reads was assessed before and after trimming using FastQC v0.11.5 (Babraham Institute, Cambridge, England). Reads were aligned to the human reference genome GRCh38 using HISAT2 v2.0.4, and the resulting bam files were sorted and indexed using SAMtools v 1.3.1. DESeq2 was used to identify differentially expressed genes (DEG) with a False Discovery Rate (FDR) threshold of 0.1.
Published in
Chemoprevention of 4-NQO-Induced Oral Cancer by the Combination of Resveratrol and EGCG: In Vivo, In Silico and In Vitro Studies
Adeluola A, Raji LM, Sigdel S et al. · Cancers 2026 · PMID 41976320 · doi:10.3390/cancers18071098
This dataset
Open GSE305867 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE305867_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1308052 and SRA study SRP610016. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41976320) ↗
Study design
6 × No treatment Control, vs 6 × EGCG 40μM, vs 6 × Resveratrol 15μM, vs 6 × EGCG 40μM + Resveratrol 15 μM,

Supports a between-group comparison across 24 samples.

How we read this: 4 replicated groups read from 24 sample titles; they account for 24 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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