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RNASeq of TET2-mutant human HSPCs and monocytes

GSE287524 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/10/29 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 24 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
Homo sapiens (human)
Samples
24 samples: 22 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
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 HSC clones and their immune progeny carrying somatic mutations is defined as clonal hematopoiesis (CH) with its prevalence increasing with age. Individuals with CH are at higher risk of developing hematological malignancies but also other pathologies, such as cardiovascular or inflammatory pulmonary diseases. Understanding which environmental conditions 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.
Read the full summary ↓
In this work, we characterized how mutations in TET2, one of the most frequent in CH, increase the competitive advantage of human HSCs upon environmental stress conditions and at the same time shape the immune response of their myeloid progeny. Employing a humanized mouse model, we show that environmental conditions that drive emergency myelopoiesis promote human TET2-derived CH. We unravel an opposite and 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 at the HSC compartment and promoted inflammatory environments from 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
Open GSE287524 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE287524_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1213148 and SRA study SRP558570. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41342736) ↗
Study design
22 distinct titles, 2 of them repeated
CD14_T ×2 CD34_T ×2

How we read this: Read from 24 sample titles: 22 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
Datasets on a similar topic

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