Single-cell RNA sequencing of the mouse hippocampus after spared nerve injury (SNI) modeling
Single-cell RNA-seq · mouse · 11 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
- 11 samples: 3 × SNI,DAY21,SAMPLE vs 2 × SNI,DAY3,SAMPLE vs 2 × SNI,DAY7,SAMPLE vs 2 × SNI,DAY14,SAMPLEGroups 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 GSE329706_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 PRJNA1460754 and SRA study SRP696577. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 4 replicated groups read from 11 sample titles; they account for 9 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.
- GSM9709530 SNI,DAY3,SAMPLE2 SNI,DAY3,SAMPLE
- GSM9709531 SNI,DAY3,SAMPLE3 SNI,DAY3,SAMPLE
- GSM9709532 SNI,DAY7,SAMPLE1 SNI,DAY7,SAMPLE
- GSM9709533 SNI,DAY7,SAMPLE2 SNI,DAY7,SAMPLE
- GSM9709534 SNI,DAY14,SAMPLE1 SNI,DAY14,SAMPLE
- GSM9709535 SNI,DAY14,SAMPLE2 SNI,DAY14,SAMPLE
- GSM9709536 SNI,DAY21,SAMPLE1 SNI,DAY21,SAMPLE
- GSM9709537 SNI,DAY21,SAMPLE2 SNI,DAY21,SAMPLE
- GSM9709538 SNI,DAY21,SAMPLE3 SNI,DAY21,SAMPLE
- GSM9709539 SHAM,DAY7,SAMPLE1
- GSM9709540 SHAM,DAY3,SAMPLE2
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- GSE269748 A single-cell atlas deconstructs heterogeneity across multiple models in murine traumatic brain injury and identifies novel cell-specific targets 36 samples shares single-cell, injury
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- GSE276682 Single-cell transcriptome analysis revealed cellular reprogramming following Tetramethylpyrazine treatment in LPS-induced acute lung injury 12 samples shares single-cell, injury
- GSE331524 Transcriptomic analysis of hippocampus and prefrontal cortex in a mouse model of chronic radiation-induced gastrointestinal injury 12 samples shares hippocampus, injury
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.