← BioTransfer GEO Dataset Finder
GEO series

Targeting a Galectin-3/EGR1 transcriptional complex inhibits the pro-metastatic signature in TRIM49-deficient gastric adenocarcinoma

GSE289465 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 18 samples Submitted 2025/09/17 Platform GPL20301Platform GPL23227
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 18 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Topic
Gastric cancerThis series is part of our curated briefing on it.
Samples
18 samples: 7 conditions, mostly in triplicateGroups 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
TRIM49 Deficiency Stabilizes a Galectin-3/EGR1 Transcriptional Complex That Drives Invasiveness of Gastric AdenocarcinomaCancer research · 2026
Summary (written by the submitters)
Distal metastasis, driven by intracellular signaling rewiring, is a leading cause of cancer mortality. The role of post-translational modifications in metastasis remains unclear. A CRISPR screen in a gastric adenocarcinoma (GAC) mouse model identified TRIM49 as a metastasis suppressor. TRIM49 is downregulated in most advanced GACs, correlating with poor prognosis.
Read the full summary ↓
Galectin-3, stabilized in TRIM49-deficient cells due to impaired degradation, forms a complex with EGR1, enhancing pro-metastatic gene expression. Disrupting this complex with GB1107 inhibits metastasis in mouse models. The Galectin-3/EGR1 complex in TRIM49-deficient GAC is a key driver of metastasis and a potential therapeutic target.
Published in
TRIM49 Deficiency Stabilizes a Galectin-3/EGR1 Transcriptional Complex That Drives Invasiveness of Gastric Adenocarcinoma
Qin ZY, Che LR, Tian S et al. · Cancer research 2026 · PMID 40997315 · doi:10.1158/0008-5472.CAN-25-0252
This dataset
Open GSE289465 in finder → Find more human ChIP / ATAC / CUT&Tag 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 GSE289465_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1223098 and SRA study SRP563592. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40997315) ↗
Study design
7 conditions, mostly in triplicate
Wild type of NuGc3 replication ×3 Gac3 ihibition of NuGc3 replication ×3 WT of NuGc3 replication ×3 over expression TRIM49 of NuGc3 replication ×3 Cut&Tag_NuGC3-Gac3-replication ×2 Cut&Tag_NuGC3-EGR1-replication ×2 Cut&Tag_NuGC3-IgG-replication ×2

Supports a between-group comparison across 18 samples.

How we read this: 7 replicated groups read from 18 sample titles; they account for 18 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 ChIP / ATAC / CUT&Tag 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.