A single-cell atlas deconstructs heterogeneity across multiple models in murine traumatic brain injury and identifies novel cell-specific targets
Single-cell RNA-seq · mouse · 36 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
- 36 samples: 7 conditions, mostly in triplicateGroups 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
- A single-cell atlas deconstructs heterogeneity across multiple models in murine traumatic brain injury and identifies novel cell-specific targetsNeuron · 2024
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 GSE269748_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 PRJNA1123602 and SRA study SRP513725. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 25 samples.
How we read this: 7 replicated groups read from 36 sample titles; they account for 25 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.
- GSM8326331 24 hours male CCI+HS replicate 1
- GSM8326332 24 hours male CCI replicate (ipsilateral) 1 24 hours male CCI repli…
- GSM8326333 24 hours male Naïve replicate 1 24 hours male Naïve
- GSM8326334 24 hours male CCI Replicate (ipsilateral) 2
- GSM8326335 24 hours male CCI + HS replicate 2
- GSM8326336 24 hours male Naïve replicate 2
- GSM8326337 24 hours male repetitive closed head tbi replicate 1 24 hours male repetitiv…
- GSM8326338 24 hours male Naïve replicate 3 24 hours male Naïve
- GSM8326339 24 hours male repetitive closed head tbi replicate 2 24 hours male repetitiv…
- GSM8326340 24 hours male repetitive closed head tbi replicate 3 24 hours male repetitiv…
- GSM8326341 24 hours male CCI+ HS replicate 3
- GSM8326342 24 hours male CCI replicate (ipsilateral) 3 24 hours male CCI repli…
- GSM8326343 24 hours male Naïve replicate 4 24 hours male Naïve
- GSM8326344 24 hours male CCI ipisilateral replicate 4
- GSM8326345 24 hours male CCI contralateral replicate 1 (same mouse as ipsilateral replicate 4)
- GSM8326346 24 hours male CCI ipsilateral replicate 5
- GSM8326347 24 hours male CCI contralateral replicate 2 (same mouse as ipsilateral replicate 5)
- GSM8326348 24 hours male CCI ipsilateral replicate 6
- GSM8326349 24 hours male CCI contralateral replicate 3 (same mouse as ipsilateral replicate 6)
- GSM8326350 24 hours female CCI ipsilateral replicate 1 24 hours female CCI ips…
- GSM8326351 24 hours female CCI ipsilateral replicate 2 24 hours female CCI ips…
- GSM8326352 24 hours female CCI ipsilateral replicate 3 24 hours female CCI ips…
- GSM8326353 24 hours male Naïve replicate 5 24 hours male Naïve
- GSM8326354 24 hours male Naïve replicate 6 24 hours male Naïve
- GSM8326355 24 hours male Naïve replicate 7 24 hours male Naïve
- GSM8326356 24 hours female Naïve replicate 1 24 hours female Naïve
- GSM8326357 24 hours female Naïve replicate 2 24 hours female Naïve
- GSM8326358 24 hours female Naïve replicate 3 24 hours female Naïve
- GSM8326359 6 month male CCI replicate 1 6 month male CCI
- GSM8326360 6 month male CCI replicate 2 6 month male CCI
- GSM8326361 6 month male CCI replicate 3 6 month male CCI
- GSM8326362 6 month male CCI replicate 4 6 month male CCI
- GSM8326363 7 day male CCI replicate 1 7 day male CCI
- GSM8326364 7 day male CCI replicate 2 7 day male CCI
- GSM8326365 7 day male CCI replicate 3 7 day male CCI
- GSM8326366 7 day male CCI replicate 4 7 day male CCI
- GSE220691 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI. 22 samples shares heterogeneity, single-cell
- GSE297298 Single-cell RNA-sequencing identifies anti-cancer immune phenotypes in the early lung metastatic niche during breast cancer 18 samples shares single-cell, identifies
- GSE179812 Macrophage Heterogeneity in Progression and Regression Phases of Cisplatin Induced AKI Mice Model - A single-cell RNA sequencing study 17 samples shares heterogeneity, single-cell
- GSE264607 Molecular targets of colorectal cancer transformation revealed by single-cell sequencing 14 samples shares single-cell, targets
- GSE311996 Kinetics-seq enables comprehensive profiling of single-cell RNA kinetics in vivo to reveal dynamic tumor heterogeneity 13 samples shares heterogeneity, single-cell
- GSE220675 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI [scRNA-seq] 11 samples shares heterogeneity, single-cell
- GSE329941 Single-cell transcriptomics identifies ergothioneine as a mitochondrial protector to prevent AKI-to-CKD progression 9 samples shares single-cell, identifies
- GSE308939 Single-cell RNA-seq reveals the keratinocyte heterogeneity and increased interfollicular basal keratinocytes in wound-induced hair follicle neogenesis 6 samples shares heterogeneity, single-cell
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.