Metabolic control of innate immune activation in TET2-mutant clonal hematopoiesis
RNA-seq (gene expression) · mouse · 26 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
- 26 samples: 18 distinct titles, 4 of them repeatedGroups 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
- Metabolic control of innate immune activation in TET2-mutant clonal hematopoiesisCell chemical biology · 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 GSE298064_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 PRJNA1268223 and SRA study SRP587751. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 5 samples read as cases, 4 as controls.
How we read this: Read from 26 sample titles: 18 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.
- GSM9006180 Cas9 LSK WT HSPCs transduced with Ogt gRNAs
- GSM9006181 Cas9 LSK WT HSPCs transduced with Acly gRNAs
- GSM9006182 Cas9 LSK WT HSPCs transduced with non-targeting control gRNAs
- GSM9006183 Cas9 LSK Tet2 KO HSPCs transduced with Ogt gRNAs
- GSM9006184 Cas9 LSK Tet2 KO HSPCs transduced with Acly gRNAs
- GSM9006185 Cas9 LSK Tet2 KO HSPCs transduced with non-targeting control gRNAs
- GSM9006186 Tet2 KO BMDMs treated with DMSO vehicle for 8 hours [TETBMDM_VEH_T1]
- GSM9006187 Tet2 KO BMDMs treated with DMSO vehicle for 8 hours [TETBMDM_VEH_T2]
- GSM9006188 Tet2 KO BMDMs treated with 50 uM ZPugNAc for 8 hours [TETBMDM_ZPUG_T1]
- GSM9006189 Tet2 KO BMDMs treated with 50 uM ZPugNAc for 8 hours [TETBMDM_ZPUG_T2]
- GSM9006190 WT BMDMs treated with DMSO vehicle for 8 hours [WTBMDM_VEH_T1]
- GSM9006191 WT BMDMs treated with DMSO vehicle for 8 hours [WTBMDM_VEH_T2]
- GSM9006192 WT BMDMs treated with 50 uM ZPugNAc for 8 hours [WTBMDM_ZPUG_T1]
- GSM9006193 WT BMDMs treated with 50 uM ZPugNAc for 8 hours [WTBMDM_ZPUG_T2]
- GSM9006194 Tet2 KO BMDMs treated with vehicle for 18 hours rep1
- GSM9006195 Tet2 KO BMDMs treated with vehicle for 18 hours rep2
- GSM9006196 Tet2 KO BMDMs treated with vehicle for 18 hours rep3
- GSM9006197 Tet2 KO BMDMs treated with glucose for 18 hours rep1
- GSM9006198 Tet2 KO BMDMs treated with glucose for 18 hours rep2
- GSM9006199 Tet2 KO BMDMs treated with glucose for 18 hours rep3
- GSM9006200 WT BMDMs treated with vehicle for 18 hours rep1
- GSM9006201 WT BMDMs treated with vehicle for 18 hours rep2
- GSM9006202 WT BMDMs treated with vehicle for 18 hours rep3
- GSM9006203 WT BMDMs treated with glucose for 18 hours rep1
- GSM9006204 WT BMDMs treated with glucose for 18 hours rep2
- GSM9006205 WT BMDMs treated with glucose for 18 hours rep3
- GSE274865 Epigenetic regulators of clonal hematopoiesis control CD8 T cell stemness during immunotherapy [CUT&Tag] 36 samples shares hematopoiesis, control, clonal
- GSE313021 STING–IFN–CH25H lipid axis links innate immune activation to tau pathology [scRNA-seq] 16 samples shares activation, innate
- GSE276628 Reciprocal genetic screens identify epigenetics factors controlling epidermal cell activation. [RNAseq_MiniBulk] 41 samples shares activation, control
- GSE276632 Reciprocal genetic screens identify epigenetics factors controlling epidermal cell activation. 262 samples shares activation, control
- GSE327880 Neuronal activation triggers rapid biphasic FMRP-mediated translational control linking synaptic and nuclear regulation 51 samples shares activation, control
- GSE274875 A mutant ASXL1-EHMT complex contributes to heterochromatin dysfunction in clonal hematopoiesis and chronic monomyelocytic leukemia [Cut & Run] 38 samples shares hematopoiesis, clonal
- GSE270717 The m6A demethylase FTO controls activation-induced cell death in effector CD8+ T cells by modulating Fas expression 10 samples shares activation, control
- GSE305266 The cortical microenvironment drives early immune organization and controls early osteoclastogenesis in bone healing 90 samples shares control
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.