Targeting Vdac2 enables IFN gamma-mediated destruction and inflammatory remodeling of tumors to overcome immune evasion [ATAC-seq 1]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 16 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
- Mus musculus (mouse)
- Samples
- 16 samples: 4 × B16OVAIFNgNTC vs 4 × B16OVAIFNgVdac2KO vs 4 × B16OVANTC vs 4 × B16OVAVdac2KOGroups 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
- VDAC2 loss elicits tumour destruction and inflammation for cancer therapyNature · 2025
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE280326_RAW.tar (it can run to tens of gigabytes).
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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1177851 and SRA study SRP540855. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM8594659 B16OVAIFNgNTC1 B16OVAIFNgNTC
- GSM8594660 B16OVAIFNgNTC2 B16OVAIFNgNTC
- GSM8594661 B16OVAIFNgNTC3 B16OVAIFNgNTC
- GSM8594662 B16OVAIFNgNTC4 B16OVAIFNgNTC
- GSM8594663 B16OVAIFNgVdac2KO1 B16OVAIFNgVdac2KO
- GSM8594664 B16OVAIFNgVdac2KO2 B16OVAIFNgVdac2KO
- GSM8594665 B16OVAIFNgVdac2KO3 B16OVAIFNgVdac2KO
- GSM8594666 B16OVAIFNgVdac2KO4 B16OVAIFNgVdac2KO
- GSM8594667 B16OVANTC1 B16OVANTC
- GSM8594668 B16OVANTC2 B16OVANTC
- GSM8594669 B16OVANTC3 B16OVANTC
- GSM8594670 B16OVANTC4 B16OVANTC
- GSM8594672 B16OVAVdac2KO1 B16OVAVdac2KO
- GSM8594675 B16OVAVdac2KO2 B16OVAVdac2KO
- GSM8594678 B16OVAVdac2KO3 B16OVAVdac2KO
- GSM8594682 B16OVAVdac2KO4 B16OVAVdac2KO
- GSE252269 Targeting the FOXP3–T-bet interaction to restore Treg stability in IFN-γ–driven autoimmunity [CUT&Tag/ATAC-seq] 18 samples shares ifn, targeting, atac-seq
- GSE289108 Neurons undergo IFNγ-driven persistent epigenetic shifts and synaptic remodeling in the inflamed brain [ChIP-Seq] 57 samples shares ifn, remodeling
- GSE269811 The antiviral nuclear body protein SP140 represses Ifnb1 transcript stabilization by the novel regulator RESIST [ATAC-seq] 12 samples shares ifn, atac-seq
- GSE288606 Neurons undergo IFNγ-driven persistent epigenetic shifts and synaptic remodeling in the inflamed brain [RNA-Seq] 52 samples shares ifn, remodeling
- GSE278131 TBK1 and IKKε protect target cells from IFNgamma-mediated inflammatory apoptosis 18 samples shares ifn, gamma-mediated
- GSE309503 IFNg shapes macrophage inflammatory responses by STAT1 isoform-specific epigenetic and transcriptional mechanisms 143 samples shares ifn
- GSE215177 Selective requirement of 3D genomic organization for the Mdm1-Il22-Ifng locus regulation in initial Th1 cell lineage specification and differentiation 69 samples shares ifn
- GSE294917 Interleukin-12 drives a rapid STAT4/DDX5-dependent change in the RNA polymerase II landscape for IFN-γ production by NK cells [Pol II CUT&RUN] 33 samples shares ifn
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.