Interleukin-4:STAT6 signaling delays protective CD8 T cell bystander activation by antagonizing IL-18 sensing
RNA-seq (gene expression) · mouse · 23 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
- 23 samples: 23 samples, each with a distinct title — no replicated groupsGroups 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
- IL-4-STAT6 signaling delays protective CD8(+) T cell bystander activation by antagonizing IL-18 sensingNature immunology · 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 GSE315645_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 PRJNA1398381 and SRA study SRP659827. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 23 sample titles: 23 distinct titles with little repetition. 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.
- GSM9433886 Mock_A_resub_1
- GSM9433887 IL4_C_resub_1
- GSM9433888 IL4_IL1215_G_resub_1
- GSM9433889 IL121518_I_resub_1
- GSM9433890 IL4_IL121518_K_resub_1
- GSM9433891 OVA_M_resub_1
- GSM9433892 IL4_OVA_O_resub_1
- GSM9433893 IL4_IL1215_10_11_pool
- GSM9433894 IL4_IL1215_12_H_resub_1_pool
- GSM9433895 IL121518_13_14_pool
- GSM9433896 IL121518_15_J_resub_1_pool
- GSM9433897 IL4_IL121518_16_17_pool
- GSM9433898 IL4_IL121518_18_L_resub_1_pool
- GSM9433899 OVA_19_20_pool
- GSM9433900 Mock_1_2_pool
- GSM9433901 OVA_21_N_resub_1_Pool
- GSM9433902 IL4_OVA_22_23_pool
- GSM9433903 IL4_OVA_24_P_resub_1_pool
- GSM9433904 Mock_3_B_resub_1_pool
- GSM9433905 IL4_4_5_pool
- GSM9433906 IL4_6_D_resub_1_pool
- GSM9433907 IL1215_7_8_pool
- GSM9433908 IL1215_9_F_resub_1_Pool
- GSE263267 Vg1+ gd T cells promote DC activation and CD8 T cell expansion via IL-4 16 samples shares cd8, activation
- GSE253734 The miR-29-IFN-γ-JAK-STAT axis attenuates CD8+ T cell overactivation and differentiation in ulcerative colitis, and delivery of mimics in LMSH-CS hydrogel reduces colitis in mice 14 samples shares cd8, activation
- GSE235242 Senescent cancer-associated fibroblasts in pancreatic adenocarcinoma suppress CD8+ T cell activation and inhibit response to immune checkpoint therapy [Kras_p53] 14 samples shares cd8, activation
- GSE342096 Distinct activation programs in naïve and memory CD8 T cells govern progeny stemness and effector persistence 37 samples shares cd8, activation
- GSE270717 The m6A demethylase FTO controls activation-induced cell death in effector CD8+ T cells by modulating Fas expression 10 samples shares cd8, activation
- GSE296763 Mitochondrial respiration is necessary for CD8 T cell proliferation and cell fate 99 samples shares 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
- GSE302682 Sleeping Beauty mutagenesis identifies BACH2 and other regulators promoting CD8+ T cell persistence and effector function under tumor-associated chronic antigen stimulation - RNAseq 66 samples shares cd8
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.