Transcriptome Analysis of the Mouse Cerebral Cortex in Brain ischemia Injury Model
RNA-seq (gene expression) · mouse · 10 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 10 samples: 4 × Sample-CuS vs 3 × Sample-C57 vs 3 × Sample-MCAOGroups 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.
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 GSE270958_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1129118 and SRA study SRP516646. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 3 replicated groups read from 10 sample titles; they account for 10 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.
- GSM8366275 Sample-C57-1 Sample-C57
- GSM8366276 Sample-C57-2 Sample-C57
- GSM8366277 Sample-C57-3 Sample-C57
- GSM8366278 Sample-MCAO-4 Sample-MCAO
- GSM8366279 Sample-MCAO-5 Sample-MCAO
- GSM8366280 Sample-MCAO-6 Sample-MCAO
- GSM8366281 Sample-CuS-7 Sample-CuS
- GSM8366282 Sample-CuS-8 Sample-CuS
- GSM8366283 Sample-CuS-9 Sample-CuS
- GSM8366284 Sample-CuS-10 Sample-CuS
- GSE277487 Single-nucleus RNA-seq of mouse cortex following CCI-induced traumatic brain injury across multiple time points 12 samples shares cortex, injury, brain
- GSE271769 Impact of severe traumatic brain injury (TBI) on cerebral blood flow and the endothelial cell phenotype 16 samples shares cerebral, injury, brain
- GSE326452 Bulk RNA-seq of mouse brain following closed head injury: role of IL-1R1 signaling 200 samples shares injury, brain
- GSE279693 Transcriptional analysis on ischemia-reperfusion injury of mouse normal or steatotic livers 12 samples shares ischemia, injury
- GSE331524 Transcriptomic analysis of hippocampus and prefrontal cortex in a mouse model of chronic radiation-induced gastrointestinal injury 12 samples shares cortex, injury
- 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 injury, brain
- GSE267650 Mouse kidney ischemia-reperfusion injury time course 57 samples shares ischemia, injury
- GSE233811 Spatiotemporal transcriptomic map of glial cell response in a mouse model of acute brain ischemia [bulk RNA-Seq] 48 samples shares ischemia, brain
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.