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The SAMD1 transcription factor coordinates hematopoietic lineage differentiation and H3K4 methylation status [CUT&RUN]

GSE280393 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 22 samples Submitted 2025/08/20 Platform GPL34281
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 22 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
22 samples: 22 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
The SAMD1 transcription factor coordinates hematopoietic lineage differentiation and H3K4 methylation statusBlood advances · 2025
Summary (written by the submitters)
Cell progenitor to progeny transitions depend on precise transcriptional mechanisms to adjust gene expression. The sterile alpha motif-containing 1 protein (SAMD1) regulates a shift in transcriptional activity during embryonic stem cell exit from pluripotency. SAMD1 interacts with and facilitates the activity of the histone H3 lysine demethylating enzyme LSD1.
Read the full summary ↓
SAMD1 is expressed throughout many biological systems, but its role in hematopoiesis is unknown. In human and mouse hematopoietic stem/progenitor cells, we tested the role of SAMD1 in hematopoiesis and erythropoiesis using loss-of-function approaches. We discovered that SAMD1 promotes expression of critical drivers of hematopoiesis, including the GATA2 transcription factor, while opposing erythroid programs. Loss of SAMD1 in ex vivo differentiating cells increased erythroid differentiation and altered the landscape of histone H3K4 methylation genome-wide. Cohorts of SAMD1-repressed genes are linked to erythropoietic activities. SAMD1 expression promoted ERK signaling via SCF/Kit stimulation in progenitor populations. In erythroid precursor cells, SAMD1 co-occupies chromatin with LSD1 and GATA factors. Whereas SAMD1 downregulates H3K4me2 levels genome-wide, contributing to gene repression, SAMD1 elevates transcription at select sites. To test Samd1 function in hematopoiesis, we performed competitive transplant experiments in mice using shRNA knockdown HSCs. Samd1 knockdown contributed more to peripheral blood mononuclear cells versus control HSCs. Our results establish SAMD1 as a coordinator of H3K4 methylation and stem/progenitor activity in hematopoiesis and erythropoiesis.
Published in
The SAMD1 transcription factor coordinates hematopoietic lineage differentiation and H3K4 methylation status
Schaefer MA, Gomez SL, Dogiparthi VR et al. · Blood advances 2025 · PMID 40402130 · doi:10.1182/bloodadvances.2024015627
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 GSE280393_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 PRJNA1178302 and SRA study SRP541445. Searching any of these in the dataset finder brings you back here.

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

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 22 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
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