The Effector Differentiation of TCRαβ+CD8αα+ Intraepithelial Lymphocytes Is Reciprocally Regulated by BCL6 and BLIMP1
RNA-seq (gene expression) · mouse · 20 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
- 20 samples: 9 conditions, mostly in duplicateGroups 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
- The effector differentiation of TCRαβ(+)CD8αα(+) intraepithelial lymphocytes is reciprocally regulated by BCL6 and BLIMP1Cell reports · 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 GSE317864_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 PRJNA1415732 and SRA study SRP668846. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 9 replicated groups read from 20 sample titles; they account for 20 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.
- GSM9480206 LI_1 LI
- GSM9480207 LI_2 LI
- GSM9480208 SI_RFP_P1 SI_RFP_P
- GSM9480209 SI_RFP_P2 SI_RFP_P
- GSM9480210 SI_RFP_P3 SI_RFP_P
- GSM9480211 SI_RFP_N1 SI_RFP_N
- GSM9480212 SI_RFP_N2 SI_RFP_N
- GSM9480213 SI_RFP_N3 SI_RFP_N
- GSM9480214 Bcl6_WT1 Bcl6_WT
- GSM9480215 Bcl6_WT2 Bcl6_WT
- GSM9480216 Bcl6_KO1 Bcl6_KO
- GSM9480217 Bcl6_KO2 Bcl6_KO
- GSM9480218 Prdm1_WT1 Prdm1_WT
- GSM9480219 Prdm1_WT2 Prdm1_WT
- GSM9480220 Prdm1_KO1 Prdm1_KO
- GSM9480221 Prdm1_KO2 Prdm1_KO
- GSM9480222 TCF1_WT1 TCF1_WT
- GSM9480223 TCF1_WT2 TCF1_WT
- GSM9480224 TCF1_KO1 TCF1_KO
- GSM9480225 TCF1_KO2 TCF1_KO
- GSE304763 A pan-immunotherapy signature to predict intratumoral CD8+ T cell expansions [scTCR_immunotherapies] 91 samples shares tcr, cd8
- GSE262842 Antitumor progenitor exhausted CD8 T cells are sustained with TCR engagement [ATACseq] 24 samples shares tcr, 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, effector
- GSE306744 Pre-division TCF1 downregulation determines long-term effector and memory CD8 T cell fates [RNA-Seq] 31 samples shares cd8, effector
- GSE248272 Therapeutically targeting perivascular macrophage effector function improves CD8+ T-cell infiltration and response to chemotherapeutic drugs in cancer 30 samples shares cd8, effector
- GSE302683 Sleeping Beauty mutagenesis identifies BACH2 and other regulators promoting CD8+ T cell persistence and effector function under tumor-associated chronic antigen stimulation - esTAG 29 samples shares cd8, effector
- GSE269347 Daunorubicin-induced T cell remodeling facilitates a high antitumor response to PD-1 blockade therapy by promoting the expansion and effector function of CD8+ prolifeating T cells [scRNA-Seq] 16 samples shares cd8, effector
- GSE215759 Mettl3-dependent m6A modification is essential for effector differentiation and memory formation of CD8+ T cells [RNA-seq] 15 samples shares cd8, effector
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.