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Single-Cell Profiling and Cell-Cell Communication Analysis of Splenic CD11c⁺ Cells in Wild-Type Mice

GSE315452 Mus musculus (mouse) Single-cell RNA-seq 2 samples Submitted 2026/01/18 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 2 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
2 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.
Paper
B cells maintain the homeostasis of splenic marginal zone antigen-presenting cells to promote the antiviral CD8(+) T-cell responseCellular & molecular immunology · 2026
Summary (written by the submitters)
Single-Cell RNA-sequencing and Cell-Cell Communication analysis of Splenic CD11c⁺ Cells from Wild-Type Mice
Published in
B cells maintain the homeostasis of splenic marginal zone antigen-presenting cells to promote the antiviral CD8(+) T-cell response
Liu X, Demircik F, Antipova M et al. · Cellular & molecular immunology 2026 · PMID 41731129 · doi:10.1038/s41423-026-01392-0
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 GSE315452_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: 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 PRJNA1397170 and SRA study SRP659361. Searching any of these in the dataset finder brings you back here.

Samples in this study

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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.