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Myc Driven Emergency Myelopoiesis Reprograms HPSC Metabolism

GSE318312 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 31 samples Submitted 2026/05/14 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 31 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
31 samples: 30 distinct titles, 1 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.
Summary (written by the submitters)
Hematopoietic stem and progenitor cells (HSPC) respond to infections, inflammation, and regenerative challenges using cellular and molecular mechanisms termed emergency myelopoiesis (EM) pathways. Here, we sought to understand the metabolic adaptation by which EM reprograms HSPCs to oveproduce myeloid cells under stress conditions. Analysis of HSPC scRNAseq response to EM activation identified Myc driven transcriptionally reprograming leading to increased OXPHOS and dependence on glutaminolysis and anaplerotic glutamine metabolism.
Read the full summary ↓
We uncover glutaminase as a prime target to suppress myeloid overproduction under conditions of maladaptive EM, such as during breast cancer development. Collectively, our work illuminates fundamental metabolic regulatory mechanisms in hematopoietic regeneration and identifies a common Myc-driven EM adaptation that results in therapeutically targetable 'glutamine addicition'.
This dataset
Open GSE318312 in finder → Find more mouse ChIP / ATAC / CUT&Tag 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 GSE318312_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1418571 and SRA study SRP675251. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
30 distinct titles, 1 of them repeated
5FU_D0_LK ×2

How we read this: Read from 31 sample titles: 30 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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