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Mast Cell Derived Histamine Negatively Regulates Hematopoiesis

GSE277000 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2026/01/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 20 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
Mus musculus (mouse)
Samples
20 samples: 5 × SASH bulk vs 5 × WT bulk vs 5 × SASH LinNeg vs 5 × WT LinNegGroups 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 cells (HSCs) are essential for generating all blood cell types and maintaining immune function and oxygen transport. This requires tight regulation of self-renewal, differentiation, and quiescence, driven by intrinsic and extrinsic signals. While the influence of many HSC progeny on HSC decisions are recognized, the role of mast cells (MCs) remain understudied.
Read the full summary ↓
MCs are known for their immunomodulatory functions through the secretion of factors such as histamine and could offer new insights into HSC regulation. In this study, we describe a novel role for MC-derived histamine in modulating HSC behavior. We observed that genetically MC-deficient “SASH” mice exhibit increased hematopoietic output and bone marrow (BM) HSCs, characterized by an enhanced quiescent signature that increases resistance to myeloablative chemotherapy. The SASH microenvironment also contained increased frequencies of HSC-supportive cell types and expression of genes conducive to HSC maintenance, which together accelerated HSC engraftment when wild-type BM was transplanted into SASH recipients. Moreover, we found lower serum histamine levels in SASH mice, and that the enhanced hematopoietic phenotype observed in these mice could be reversed by administering exogenous histamine. Subsequent experiments with FDA-approved antihistamines in wild-type mice revealed that cetirizine, an H1R inverse agonist, notably increased HSC frequency in the BM. Overall, our findings implicate MCs are negative regulators of HSC function. This lays the groundwork for future studies to elucidate the underlying mechanisms and explore the therapeutic potential of modulating histamine signaling to promote hematopoiesis.
This dataset
Open GSE277000 in finder → Find more mouse 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 GSE277000_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 PRJNA1160202 and SRA study SRP532279. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 × SASH bulk vs 5 × WT bulk vs 5 × SASH LinNeg vs 5 × WT LinNeg

Supports a between-group comparison across 20 samples.

How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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

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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.