bulkRNA-seq LSKs CMPs MEPs GMPs from bone marrow and spleen
RNA-seq (gene expression) · mouse · 32 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
- 32 samples: 8 conditions, mostly with about 4 replicates eachGroups 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
- Divergent granulopoiesis at extramedullary sites safeguards antibacterial host defenseScience immunology · 2026
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE314281_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1390651 and SRA study SRP656379. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 32 samples.
How we read this: 8 replicated groups read from 32 sample titles; they account for 32 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.
- GSM9392269 BM_CMP_rep1 BM_CMP
- GSM9392270 BM_CMP_rep2 BM_CMP
- GSM9392271 BM_CMP_rep3 BM_CMP
- GSM9392272 BM_CMP_rep4 BM_CMP
- GSM9392273 BM_GMP_rep1 BM_GMP
- GSM9392274 BM_GMP_rep2 BM_GMP
- GSM9392275 BM_GMP_rep3 BM_GMP
- GSM9392276 BM_GMP_rep4 BM_GMP
- GSM9392277 BM_LSK_rep1 BM_LSK
- GSM9392278 BM_LSK_rep2 BM_LSK
- GSM9392279 BM_LSK_rep3 BM_LSK
- GSM9392280 BM_LSK_rep4 BM_LSK
- GSM9392281 BM_MEP_rep1 BM_MEP
- GSM9392282 BM_MEP_rep2 BM_MEP
- GSM9392283 BM_MEP_rep3 BM_MEP
- GSM9392284 BM_MEP_rep4 BM_MEP
- GSM9392285 SP_CMP_rep1 SP_CMP
- GSM9392286 SP_CMP_rep2 SP_CMP
- GSM9392287 SP_CMP_rep3 SP_CMP
- GSM9392288 SP_CMP_rep4 SP_CMP
- GSM9392289 SP_GMP_rep1 SP_GMP
- GSM9392290 SP_GMP_rep2 SP_GMP
- GSM9392291 SP_GMP_rep3 SP_GMP
- GSM9392292 SP_GMP_rep4 SP_GMP
- GSM9392293 SP_LSK_rep1 SP_LSK
- GSM9392294 SP_LSK_rep2 SP_LSK
- GSM9392295 SP_LSK_rep3 SP_LSK
- GSM9392296 SP_LSK_rep4 SP_LSK
- GSM9392297 SP_MEP_rep1 SP_MEP
- GSM9392298 SP_MEP_rep2 SP_MEP
- GSM9392299 SP_MEP_rep3 SP_MEP
- GSM9392300 SP_MEP_rep4 SP_MEP
- GSE255409 Single-cell RNA sequencing of CD45 positive cells in spleen, bone marrow, colon and periphral blood from WT and Wnt5 DKO mice under DSS treatment 10 samples shares marrow, spleen, bone
- GSE272755 Transcriptional effects of lysosome stress on mouse bone marrow-derived macrophages and primary microglia 263 samples shares marrow, bone
- GSE276784 Inflammation perturbs hematopoiesis by remodeling specific compartments of the bone marrow niche 89 samples shares marrow, bone
- GSE294362 Aged bone marrow myeloid and mesenchymal cells develop unique senescence phenotypes 80 samples shares marrow, bone
- GSE226078 Transcriptomics of mouse bone marrow erythropoiesis 68 samples shares marrow, bone
- GSE239479 AP-3-84 effects on gene expression in thioglycollate-induced, ID8 ascites or bone-marrow derived macrophages 48 samples shares marrow, bone
- GSE298958 Bone marrow failure, somatic rescue by p53 inactivation, and enhanced leukemogenesis in germline ERCC6L2 disease 48 samples shares marrow, bone
- GSE267161 In Fanconi Anemia, impaired accumulation of bone marrow neutrophils during emergency granulopoiesis induces hematopoietic stem cell stress 38 samples shares marrow, bone
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.