Increased EZH2 function in regulatory T cells promotes their capacity to suppress autoimmunity by driving effector differentiation prior to activation.
RNA-seq (gene expression) · mouse · 36 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
- 36 samples: 10 conditions, mostly in triplicateGroups 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
- Hyperactivating EZH2 to augment H3K27me3 levels in regulatory T cells enhances immune suppression by driving early effector differentiationCell reports · 2024
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 GSE262131_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 PRJNA1090440 and SRA study SRP496979. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 32 samples.
How we read this: 10 replicated groups read from 36 sample titles; they account for 32 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.
- GSM8158010 WT,naïve, rep1 WT,naïve,
- GSM8158011 WT,naïve, rep2 WT,naïve,
- GSM8158012 WT,naïve, rep3 WT,naïve,
- GSM8158013 WT,activated,rep1 WT,activated,
- GSM8158014 WT,activated,rep2 WT,activated,
- GSM8158015 WT,activated,rep3 WT,activated,
- GSM8158016 Ezh2-Y641F,naïve,rep1 Ezh2-Y641F,naïve,
- GSM8158017 Ezh2-Y641F,naïve,rep2 Ezh2-Y641F,naïve,
- GSM8158018 Ezh2-Y641F,naïve,rep3 Ezh2-Y641F,naïve,
- GSM8158019 Ezh2-Y641F,activated,rep1 Ezh2-Y641F,activated,
- GSM8158020 Ezh2-Y641F,activated,rep2 Ezh2-Y641F,activated,
- GSM8158021 Ezh2-Y641F,activated,rep3 Ezh2-Y641F,activated,
- GSM8158022 WT,naive,IgG
- GSM8158023 WT,activated,IgG
- GSM8158024 Teff,naïve, rep1 Teff,naïve,
- GSM8158025 Teff,naïve, rep2 Teff,naïve,
- GSM8158026 Teff,naïve, rep3 Teff,naïve,
- GSM8158027 Teff,naïve, rep4 Teff,naïve,
- GSM8158028 Teff,activated,rep1 Teff,activated,
- GSM8158029 Teff,activated,rep2 Teff,activated,
- GSM8158030 Teff,activated,rep3 Teff,activated,
- GSM8158031 Teff,activated,rep4 Teff,activated,
- GSM8158032 Teff,naive,IgG
- GSM8158033 Teff,activated,IgG
- GSM8158034 WT,naïve, RNA-seq rep1 WT,naïve, RNA-seq
- GSM8158035 WT,naïve, RNA-seq rep2 WT,naïve, RNA-seq
- GSM8158036 WT,naïve, RNA-seq rep3 WT,naïve, RNA-seq
- GSM8158037 WT,activated,RNA-seq rep1 WT,activated,RNA-seq
- GSM8158038 WT,activated,RNA-seq rep2 WT,activated,RNA-seq
- GSM8158039 WT,activated,RNA-seq rep3 WT,activated,RNA-seq
- GSM8158040 Ezh2-Y641F,naïve,RNA-seq rep1 Ezh2-Y641F,naïve,RNA-seq
- GSM8158041 Ezh2-Y641F,naïve,RNA-seq rep2 Ezh2-Y641F,naïve,RNA-seq
- GSM8158042 Ezh2-Y641F,naïve,RNA-seq rep3 Ezh2-Y641F,naïve,RNA-seq
- GSM8158043 Ezh2-Y641F,activated,RNA-seq rep1 Ezh2-Y641F,activated,RN…
- GSM8158044 Ezh2-Y641F,activated,RNA-seq rep2 Ezh2-Y641F,activated,RN…
- GSM8158045 Ezh2-Y641F,activated,RNA-seq rep3 Ezh2-Y641F,activated,RN…
- GSE232327 Activation of imprinted gene Pw1 promotes cardiac fibrosis after ischemic injury 41 samples shares activation, promotes
- GSE305975 Basal level of ATF4 promotes T cell readiness for activation-induced proliferation 29 samples shares activation, promotes
- GSE263688 Ageing promotes metastasis via activation of the integrated stress response 16 samples shares activation, promotes
- GSE327565 Sustained Yap/Taz activation promotes aberrant alveolar epithelial cell differentiation and drives persistent fibrotic remodeling 14 samples shares activation, promotes
- GSE303657 R-spondin 2 suppresses hepatic steatosis via activation of AMPK-ACC signaling 12 samples shares activation, suppress
- GSE303166 A novel CAF population coordinates hyper-suppressive regulatory T cell recruitment and localization in lung cancer 10 samples shares regulatory, suppress
- GSE214191 Oxidative Stress Converts Benign Lesions to Cancer via a Self-Amplifying NRF2-EZH2 Loop 63 samples shares ezh2
- GSE297143 EZH2 alters aggressive variant prostate cancer subtype evolution, but is not required for neuroendocrine prostate cancer [RNAseq] 54 samples shares ezh2
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.