← BioTransfer GEO Dataset Finder
GEO series

ATACSeq of TET2-mutant human HSCs

GSE307624 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 11 samples Submitted 2025/10/29 Platform GPL20301
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 11 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
11 samples: 7 × human TET2-MUT HSCs vs 4 × human TET2-WT HSCsGroups 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
Human TET2-Mutant Clonal Hematopoiesis Expansion Is Driven by Distinct Inflammatory Signaling Responses in Stem Cells Versus Myeloid ProgenyBlood cancer discovery · 2026
Summary (written by the submitters)
The expansion of hematopoietic stem cell clones and their immune progeny carrying somatic mutations is defined as clonal hematopoiesis (CH) and its prevalence increases with age. Individuals with CH are at higher risk of developing hematological malignancies as well as other pathologies, such as cardiovascular or inflammatory pulmonary diseases.
Read the full summary ↓
Understanding the environmental conditions that favor mutant clones and the CH-immune system response to such environments is key to designing therapeutic strategies to stall the expansion of mutant clones and the development of CH-associated pathologies. In this work, we characterized how mutations in TET2, increase the competitive advantage of human HSCs upon environmental stress conditions and simultaneously shape the immune response of their myeloid progeny. Employing a humanized mouse model, we unravel a cell-specific impact of TET2 mutations on HSCs and their myeloid progeny to inflammatory stress. In such environments, TET2Mut HSCs have a mitigated transcriptional upregulation of inflammatory pathways, and by contrast, TET2Mut myeloid cells have an exacerbated inflammatory response. A distinct monocyte-macrophage trajectory derived from TET2Mut HSCs contributes to pathological inflammation. These findings provide evidence at the human cell level and reconcile the notion that TET2-derived CH is associated with both increased stemness in the HSC compartment and inflammation elicited by the myeloid progeny.
Published in
Human TET2-Mutant Clonal Hematopoiesis Expansion Is Driven by Distinct Inflammatory Signaling Responses in Stem Cells Versus Myeloid Progeny
Huerga Encabo H, D'Agostino G, Sturgess K et al. · Blood cancer discovery 2026 · PMID 41342736 · doi:10.1158/2643-3230.BCD-25-0070
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 GSE307624_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 PRJNA1322425 and SRA study SRP618830. Searching any of these in the dataset finder brings you back here.

Study design
7 × human TET2-MUT HSCs vs 4 × human TET2-WT HSCs

Supports a between-group comparison across 11 samples.

How we read this: 2 replicated groups read from 11 sample titles; they account for 11 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.

Samples in this study
Datasets on a similar topic

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

Share this dataset

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.