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Targeting Vdac2 overcomes immunotherapy resistance by inducing tumor cell death and inflammation

GSE261554 Homo sapiens (human) Expression microarray 180 samples Submitted 2025/03/19 Platform GPL21103Platform GPL23038Platform GPL23159
At a glance

Expression microarray · human · 180 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
180 samples: 49 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Paper
VDAC2 loss elicits tumour destruction and inflammation for cancer therapyNature · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
VDAC2 loss elicits tumour destruction and inflammation for cancer therapy
Yuan S, Sun R, Shi H et al. · Nature 2025 · PMID 40108474 · doi:10.1038/s41586-025-08732-6
This dataset
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.

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 GSE261554_RAW.tar (it can run to tens of gigabytes).

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.

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA1087429 and SRA study SRP495110. Searching any of these in the dataset finder brings you back here.

Study design
49 conditions, mostly in triplicate
WT_IFNg ×6 sgNTC ×4 sgVdac2 ×4 sgNTC_OTI ×4 sgVdac2OTI ×4 WT_0h ×4 KO_0h ×4 WT_4h ×4 +49 more

Supports a between-group comparison across 172 samples.

How we read this: 49 replicated groups read from 180 sample titles; they account for 172 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

+ 140 more — browse all 180 samples with per-sample file links →

Datasets on a similar topic

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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.