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Novel ex vivo culture of purified mouse mesenchymal stromal cells reveals tissue-dependent niche heterogeneity in bone marrow and functional interaction with macrophages

GSE228749 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/05/14 Platform GPL21626
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × BM_Sorted vs 3 × BM_NonSorted vs 3 × BAC_Depleted vs 3 × BAC_NonDepletedGroups 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
Monocytes/macrophages contamination disrupts functional and transcriptional characteristics of murine bone marrow- and bone-derived stromal cellsJBMR plus · 2025
Summary (written by the submitters)
Mesenchymal stem/stromal cells (MSCs) are skeletal stem cells capable of regenerating bone, cartilage, and adipose tissues, while also serving as an essential immunosupportive cell for the hematopoietic stem cell pool. Therefore, the isolation and purification of murine MSCs is essential to understanding the differentiation capabilities necessary for skeletal regeneration, hematopoietic support, and immunomodulatory roles of MSCs within the bone marrow microenvironment (BMME).
Read the full summary ↓
While many protocols on isolation from bone marrow (BM-MSCs) and bone associated cells (BAC-MSCs) have been published, none achive purity from macropahge contamination and many do not address heterogeneity of MSCs between these two compartments. To ensure a pure MSC isolation, we established a new strategy to exclude macrophages and their precursors by targeting F4/80/Ly6C/CD45. By analyzing MSC transcriptional profiles from both compartments with and without our purification strategy, we demonstrated distinct functional characteristics of MSCs by compartment, as well as functional impacts on the MSC transcriptional profile as a result of macrophage interaction.
Published in
Monocytes/macrophages contamination disrupts functional and transcriptional characteristics of murine bone marrow- and bone-derived stromal cells
Kawano Y, Kawano H, Busch S et al. · JBMR plus 2025 · PMID 40329992 · doi:10.1093/jbmrpl/ziaf047
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 GSE228749_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: 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 PRJNA951395 and SRA study SRP430486. Searching any of these in the dataset finder brings you back here.

Study design
3 × BM_Sorted vs 3 × BM_NonSorted vs 3 × BAC_Depleted vs 3 × BAC_NonDepleted

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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
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