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Metabolic control of innate immune activation in TET2-mutant clonal hematopoiesis [ChIP-seq]

GSE309775 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 44 samples Submitted 2026/01/15 Platform GPL19057Platform GPL18573
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 44 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
44 samples: 42 distinct titles, 2 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
Summary (written by the submitters)
TET2 mutations drive inflammation in clonal hematopoiesis of indeterminate potential (CHIP), but the mechanism by which TET2 inactivation leads to inflammation is not understood. Here, we used in vivo genome-wide genetic perturbations in primary wildtype (WT) or Tet2 knockout (KO) Cas9+ hematopoietic stem-progenitor cells (HSPCs) in a model of zymosan peritonitis to elucidate the basis of Tet2 KO inflammation.
Read the full summary ↓
We found that Tet2 restrains O-linked N-acetylglucosamine (O-GlcNAc) glycosyltransferase (Ogt), a Tet2 binding partner and metabolic sensor that integrates nutrient availability. Tet2 loss disrupts this Tet2-Ogt interaction, and dysregulated Ogt facilitates widespread H3K4 trimethylation including lipid-related gene loci and inflammatory lipid droplet formation. We identified ATP citrate lyase (Acly) as a critical node for lipid accumulation, inflammation, and myeloid expansion in Tet2 deficiency. In summary, we reveal that Tet2 serves as a negative regulator of the nutrient sensor Ogt, and that Tet2 inactivation leads to aberrant lipid droplet formation and inflammation.
Published in
Metabolic control of innate immune activation in TET2-mutant clonal hematopoiesis
Kim PG, Hergott CB, Miller AP et al. · Cell chemical biology 2026 · PMID 41672066 · doi:10.1016/j.chembiol.2026.01.006
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE309775_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1363152 and SRA study SRP644306. Searching any of these in the dataset finder brings you back here.

Study design
42 distinct titles, 2 of them repeated
Tet2 KO BMDMs treated with glucose, 55mM, 24 … ×2 WT BMDMs treated with glucose, 55mM, 24 hrs; … ×2

Supports a case/control comparison: 9 samples read as cases, 13 as controls.

How we read this: Read from 44 sample titles: 42 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.

Samples in this study

+ 4 more — browse all 44 samples with per-sample file links →

Datasets on a similar topic

Search all ChIP / ATAC / CUT&Tag datasets in GEO →

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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.