An RNA-Seq transcriptome and splicing database of neurons, glia, and vascular cells of the cerebral cortex
Single-cell RNA-seq · mouse · 17 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Mus musculus (mouse)
- Samples
- 17 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.
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 GSE52564_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 PRJNA229389 and SRA study SRP033200. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 17 samples.
How we read this: 8 replicated groups read from 17 sample titles; they account for 17 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.
- GSM1269903 Astrocyte1 Astrocyte
- GSM1269904 Astrocyte2 Astrocyte
- GSM1269905 Neuron1 Neuron
- GSM1269906 Neuron2 Neuron
- GSM1269907 OPC1 OPC
- GSM1269908 OPC2 OPC
- GSM1269909 NFO1 NFO
- GSM1269910 NFO2 NFO
- GSM1269911 MO1 MO
- GSM1269912 MO2 MO
- GSM1269913 Microglia1 Microglia
- GSM1269914 Microglia2 Microglia
- GSM1269915 Endothelial1 Endothelial
- GSM1269916 Endothelial2 Endothelial
- GSM1269917 WC1 WC
- GSM1269918 WC2 WC
- GSM1269919 WC3 WC
- GSE306116 Caspase-3 Control of RNA Splicing and Mitochondrial Dynamics in Microglia during Parkinson’s Disease [RNA-Seq] 12 samples shares splicing, rna-seq, glia
- GSE98816 Single cell RNA-seq of mouse brain vascular transcriptomes 3186 samples shares vascular, rna-seq
- GSE311449 Single cell RNA-seq of mouse brain vascular cells with Smart-seq2 method 391 samples shares vascular, rna-seq
- GSE248250 Multimodal perspectives on the upper layer neurogenesis in the murine cerebral cortex 137 samples shares cerebral, cortex
- GSE282096 Diminished transcriptional activity and splicing changes drive gene length-biased rewiring in the aging transcriptome (RNA-Seq) 94 samples shares splicing, rna-seq
- GSE246617 Cerebral vascular transcriptome profiling reveals intermittent fasting modulates chronic cerebral hypoperfusion-induced disease pathways. 78 samples shares vascular, cerebral
- GSE300113 Heterogenous microglial reactivity contrasts with stable vascular transcriptional programs in mouse models of Alzheimer’s, CADASIL, and Traumatic Brain Injury (Main dataset) 59 samples shares vascular, glia
- GSE229826 Transcriptional profiling of cerebral cortex from a mouse model of Huntington's disease (Q140) crossed with Msh3 heterozygous and homozygous mice [Msh3_cortex] 48 samples shares cerebral, cortex
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.