Arid3b suppresses CD8+ T cell infiltration and function in microsatellite stable colorectal cancer via Runx3 [RNA-seq]
RNA-seq (gene expression) · mouse · 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
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × CD8+ T cells, Arid3b-KO, co-cultured with CMT93-OVA cells, vs 3 × CD8+ T cells,Control, co-cultured with CMT93-OVA cells, vs 3 × CD8+ T cells, Arid3b-KO, untreat, vs 3 × CD8+ T cells, Control, untreat,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
- Arid3b suppresses CD8 + T cell infiltration and function in microsatellite-stable colorectal cancer via Runx3Nature communications · 2026
Read the full summary ↓
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 GSE304750_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: 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 PRJNA1302450 and SRA study SRP607026. Searching any of these in the dataset finder brings you back here.
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.
- GSM9156295 CD8+ T cells, Arid3b-KO, co-cultured with CMT93-OVA cells, rep1 CD8+ T cells, Arid3b-KO…
- GSM9156296 CD8+ T cells, Arid3b-KO, co-cultured with CMT93-OVA cells, rep2 CD8+ T cells, Arid3b-KO…
- GSM9156298 CD8+ T cells, Arid3b-KO, co-cultured with CMT93-OVA cells, rep3 CD8+ T cells, Arid3b-KO…
- GSM9156299 CD8+ T cells,Control, co-cultured with CMT93-OVA cells, rep1 CD8+ T cells,Control, c…
- GSM9156301 CD8+ T cells,Control, co-cultured with CMT93-OVA cells, rep2 CD8+ T cells,Control, c…
- GSM9156302 CD8+ T cells,Control, co-cultured with CMT93-OVA cells, rep3 CD8+ T cells,Control, c…
- GSM9156304 CD8+ T cells, Arid3b-KO, untreat, rep1 CD8+ T cells, Arid3b-KO…
- GSM9156306 CD8+ T cells, Arid3b-KO, untreat, rep2 CD8+ T cells, Arid3b-KO…
- GSM9156307 CD8+ T cells, Arid3b-KO, untreat, rep3 CD8+ T cells, Arid3b-KO…
- GSM9156308 CD8+ T cells, Control, untreat, rep1 CD8+ T cells, Control, …
- GSM9156309 CD8+ T cells, Control, untreat, rep2 CD8+ T cells, Control, …
- GSM9156310 CD8+ T cells, Control, untreat, rep3 CD8+ T cells, Control, …
- GSE328207 Arid3b suppresses CD8+ T cell infiltration and function in Microsatellite-stable colorectal cancer via Runx3 24 samples shares arid3b, runx3, cd8, microsatellite, infiltration, suppresses, colorectal
- GSE320177 All -trans retinoic acid suppresses CD8+ T cell terminal exhaustion which enhances anti–PD-1 efficacy against glioblastoma [RNA-Seq] 12 samples shares cd8, suppresses, rna-seq
- GSE342312 T-bet and Runx3 orchestrate effector CD8 T cell differentiation and lineage fidelity through cooperative and distinct chromatin regulatory mechanisms [Multi-omics] 40 samples shares runx3, cd8
- GSE334845 Discovery of Tcf7 regulators with clonally-resolved CRISPR screens identifies Trim28 as a mediator of CD8 T cell differentiation in tumors [RNA-Seq] 86 samples shares cd8, rna-seq
- GSE337601 XCR1+ and CD11b+ migratory dendritic cells cooperate for the crosspriming of intratumoral CD8+ T cells with a tissue-resident memory phenotype [RNA-Seq] 36 samples shares cd8, rna-seq
- GSE306744 Pre-division TCF1 downregulation determines long-term effector and memory CD8 T cell fates [RNA-Seq] 31 samples shares cd8, rna-seq
- GSE248272 Therapeutically targeting perivascular macrophage effector function improves CD8+ T-cell infiltration and response to chemotherapeutic drugs in cancer 30 samples shares cd8, infiltration
- GSE284012 An early precursor CD8 T cell that adapts to acute or chronic viral infection [bulk RNA-seq] 29 samples shares cd8, rna-seq
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.