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Transcriptomic characterization of endogenous and transplanted myeloid cells of the brain

GSE255893 Mus musculus (mouse) RNA-seq (gene expression) 13 samples Submitted 2026/07/18 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 13 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
13 samples
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)
The replacement of microglia with myeloid cells derived from transplanted bone marrow represents a promising cell therapeutic concept for different neurological disorders. Previous studies have primarily been based on freshly harvested grafts, permitting only limited control over cells prior to transplantation. Here, we demonstrate the ability of in vitro expanded hematopoietic stem and progenitor cells (cHSPCs) to engraft in the myeloid niche of the brain, and effectively replace endogenous microglia in vivo.
Read the full summary ↓
This experiment compares the transcriptional profile of endogenous microglia, and graft-derived myeloid brain cells, which resulted from transplantation of either whole bone marrow, primary hematopoietic stem cells, or cHSPCs.
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 GSE255893_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 PRJNA1076923 and SRA study SRP489933. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 13 more — browse all 13 samples with per-sample file links →

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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.