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Myeloid progenitor dysregulation fuels immunosuppressive macrophages in tumours

GSE270148 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 85 samples Submitted 2025/07/07 Platform GPL24247Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 85 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
Mus musculus (mouse)
Samples
85 samples: 85 samples, each with a distinct title — no replicated groupsGroups 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
Myeloid progenitor dysregulation fuels immunosuppressive macrophages in tumoursNature · 2025
Summary (written by the submitters)
Monocyte-derived macrophages (mo-macs) often drive immunosuppression in the tumour microenvironment (TME) and tumour-enhanced myelopoiesis in the bone marrow fuels these populations. Here we performed paired transcriptome and chromatin accessibility analysis over the continuum of myeloid progenitors, circulating monocytes and tumour-infiltrating mo-macs in mice and in patients with lung cancer to identify myeloid progenitor programs that fuel pro-tumorigenic mo-macs.
Read the full summary ↓
We show that lung tumours prime accessibility for Nfe2l2 (NRF2) in bone marrow myeloid progenitors as a cytoprotective response to oxidative stress, enhancing myelopoiesis while dampening interferon response and promoting immunosuppression. NRF2 activity is amplified during monocyte differentiation into mo-macs in the TME to regulate stress and drive immunosuppressive phenotype. NRF2 genetic deletion and pharmacological inhibition significantly reduced the survival and immunosuppression of mo-macs in the TME, restoring natural killer and T cell anti-tumour immunity and enhancing checkpoint blockade efficacy. Our findings identify a targetable epigenetic node of myeloid progenitor dysregulation that sustains immunoregulatory mo-macs in the lung TME and highlight the potential of early interventions to reprogram macrophage fate for improved immunotherapy outcomes.
Published in
Myeloid progenitor dysregulation fuels immunosuppressive macrophages in tumours
Hegde S, Giotti B, Soong BY et al. · Nature 2025 · PMID 40931076 · doi:10.1038/s41586-025-09493-y
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 GSE270148_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 PRJNA1125337 and SRA study SRP514493. Searching any of these in the dataset finder brings you back here.

Study design
85 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 59 samples read as cases, 3 as controls.

How we read this: Read from 85 sample titles: 85 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

+ 45 more — browse all 85 samples with per-sample file links →

Datasets on a similar topic

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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.