scRNA-seq of bone marrow and splenic emergency granulopoiesis
Single-cell RNA-seq · mouse · 20 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 20 samples: 8 conditions, mostly in duplicateGroups 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
Read the full summary ↓
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 GSE317310_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1406717 and SRA study SRP665624. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 8 replicated groups read from 20 sample titles; they account for 16 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.
- GSM9469119 Surface_Protein_Blood and Organ 1, Saline treatment and Treatment 1, Day 1 Surface_Protein_Blood a…
- GSM9469120 Surface_Protein_Bone Marrow and Spleen, Saline treatment and Treatment 1, Day 1 Surface_Protein_Bone Ma…
- GSM9469121 Surface_Protein_Blood and Organ 1, Saline treatment and Treatment 1, Day 2 Surface_Protein_Blood a…
- GSM9469122 Surface_Protein_Bone Marrow and Spleen, Saline treatment and Treatment 1, Day 2 Surface_Protein_Bone Ma…
- GSM9469123 Surface_Protein_Blood and Organ 1, CPM/AMD treatment and Treatment 1, Day 1 Surface_Protein_Blood a…
- GSM9469124 Surface_Protein_Bone Marrow and Spleen, CPM/AMD treatment and Treatment 1, Day 1 Surface_Protein_Bone Ma…
- GSM9469125 Surface_Protein_Blood and Organ 1, CPM/AMD treatment and Treatment 1, Day 2 Surface_Protein_Blood a…
- GSM9469126 Surface_Protein_Bone Marrow and Spleen, CPM/AMD treatment and Treatment 1, Day 2 Surface_Protein_Bone Ma…
- GSM9469127 RNA_Blood and Organ 1, Saline treatment and Treatment 1, Day 1 RNA_Blood and Organ 1, …
- GSM9469128 RNA_Bone Marrow and Spleen, Saline treatment and Treatment 1, Day 1 RNA_Bone Marrow and Spl…
- GSM9469129 RNA_Blood and Organ 1, Saline treatment and Treatment 1, Day 2 RNA_Blood and Organ 1, …
- GSM9469130 RNA_Bone Marrow and Spleen, Saline treatment and Treatment 1, Day 2 RNA_Bone Marrow and Spl…
- GSM9469131 RNA_Blood and Organ 1, CPM/AMD treatment and Treatment 1, Day 1 RNA_Blood and Organ 1, …
- GSM9469132 RNA_Bone Marrow and Spleen, CPM/AMD treatment and Treatment 1, Day 1 RNA_Bone Marrow and Spl…
- GSM9469133 RNA_Blood and Organ 1, CPM/AMD treatment and Treatment 1, Day 2 RNA_Blood and Organ 1, …
- GSM9469134 RNA_Bone Marrow and Spleen, CPM/AMD treatment and Treatment 1, Day 2 RNA_Bone Marrow and Spl…
- GSM9469135 Surface_01_Blood, Sham, IgG, Splenectomy, Partial_irradiation_anti-CXCR2
- GSM9469136 Surface_02_Blood, Sham, IgG, Splenectomy, Partial_irradiation_anti-CXCR2
- GSM9469137 RNA_01_Blood, Sham, IgG, Splenectomy, Partial_irradiation_anti-CXCR2
- GSM9469138 RNA_02_Blood, Sham, IgG, Splenectomy, Partial_irradiation_anti-CXCR2
- GSE337460 Chlamydia serovars in uterus- scRNA-seq, CITE-seq and TCRab 30 samples shares scrna-seq
- GSE330911 Spleen and brain T cells in Toxoplasma gondii infection- scRNA-seq, CITE-seq and TCRab 30 samples shares scrna-seq
- GSE330985 Positive and Negative Selection of abT cells (OT-I and OT-II) in the thymus 2 - scRNA-seq, CITE-seq and TCRab 21 samples shares scrna-seq
- GSE274125 Timestamp tracing delineates thymic regulatory T cell ontogeny in native conditions [scRNA-seq] 20 samples shares scrna-seq
- GSE306035 scRNA-Seq of immune populations from nasal mucosa and lungs of C57BL/6 mice and BLT1 receptor deficient mice infected intranasally with MCMV K181 strain 20 samples shares scrna-seq
- GSE241770 ACSS2 mediates an epigenetic pathway to regulate maternal Beta-cell adaptation and progression of gestational diabetes (scRNA-Seq) 7899 samples shares scrna-seq
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares scrna-seq
- GSE271100 Stem cells tightly regulate dead cell clearance to maintain tissue fitness [scRNA-seq] 1037 samples shares scrna-seq
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.