← BioTransfer GEO Dataset Finder
GEO series

Effect of cantharidin sodium treatment on gene expression in AGS and MKN1 gastric cancer cell lines (treated vs. untreated groups)

GSE312820 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/12/12 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 12 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)
Topic
Gastric cancerThis series is part of our curated briefing on it.
Samples
12 samples: 3 × AGS cells_Untreated vs 3 × AGS cells_Treated vs 3 × MKN1 cells_Untreated vs 3 × MKN1 cells_TreatedGroups 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.
Summary (written by the submitters)
Gastric cancer is a highly malignant gastrointestinal tumor, and cantharidin sodium has potential anti-tumor activity against gastric cancer cells. Here, we focus on AGS and MKN1 gastric cancer cell lines: each cell line was divided into cantharidin sodium treatment group and untreated control group, with 3 biological replicates set for each subgroup.
Read the full summary ↓
We aim to reveal the differential gene expression profiles induced by cantharidin sodium in these two cell lines, and further clarify the molecular regulatory mechanism of cantharidin sodium in inhibiting gastric cancer cell progression through transcriptomic analysis.
This dataset
Open GSE312820 in finder → Find more human RNA-seq datasets → Gastric cancer landscape →
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 GSE312820_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 PRJNA1377465 and SRA study SRP653269. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × AGS cells_Untreated vs 3 × AGS cells_Treated vs 3 × MKN1 cells_Untreated vs 3 × MKN1 cells_Treated

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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
More Gastric cancer 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.