Sex and genotype affect mouse hippocampal gene expression in response to blast-induced traumatic brain injury
RNA-seq (gene expression) · mouse · 96 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
- 96 samples: 96 samples, each with a distinct title — no replicated groupsGroups 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
- Sex and Genotype Affect Mouse Hippocampal Gene Expression in Response to Blast-Induced Traumatic Brain InjuryMolecular neurobiology · 2025
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 GSE285890_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 PRJNA1206717 and SRA study SRP555370. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 96 sample titles: 96 distinct titles with little repetition. 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.
- GSM8712108 C57Bl/6J, male, Sham-a
- GSM8712109 C57Bl/6J, male, Blast-a
- GSM8712110 C57Bl/6J, male, Sham-b
- GSM8712111 C57Bl/6J, male, Blast-b
- GSM8712112 C57Bl/6J, male, Sham-c
- GSM8712113 C57Bl/6J, male, Blast-c
- GSM8712114 C57Bl/6J, female, Sham-a
- GSM8712115 C57Bl/6J, female, Blast-a
- GSM8712116 C57Bl/6J, female, Sham-b
- GSM8712117 C57Bl/6J, female, Blast-b
- GSM8712118 C57Bl/6J, female, Sham-c
- GSM8712119 C57Bl/6J, female, Blast-c
- GSM8712120 NOD/ShiLtJ, male, Sham-a
- GSM8712121 NOD/ShiLtJ, male, Blast-a
- GSM8712122 NOD/ShiLtJ, male, Sham-b
- GSM8712123 NOD/ShiLtJ, male, Blast-b
- GSM8712124 NOD/ShiLtJ, male, Sham-c
- GSM8712125 NOD/ShiLtJ, male, Blast-c
- GSM8712126 NOD/ShiLtJ, female, Sham-a
- GSM8712127 NOD/ShiLtJ, female, Blast-a
- GSM8712128 NOD/ShiLtJ, female, Sham-b
- GSM8712129 NOD/ShiLtJ, female, Blast-b
- GSM8712130 NOD/ShiLtJ, female, Sham-c
- GSM8712131 NOD/ShiLtJ, female, Blast-c
- GSM8712132 A/J, male, Sham-a
- GSM8712133 A/J, male, Blast-a
- GSM8712134 A/J, male, Sham-b
- GSM8712135 A/J, male, Blast-b
- GSM8712136 A/J, male, Sham-c
- GSM8712137 A/J, male, Blast-c
- GSM8712138 A/J, female, Sham-a
- GSM8712139 A/J, female, Blast-a
- GSM8712140 A/J, female, Sham-b
- GSM8712141 A/J, female, Blast-b
- GSM8712142 A/J, female, Sham-c
- GSM8712143 A/J, female, Blast-c
- GSM8712144 NZO/HlLtJ, male, Sham-a
- GSM8712145 NZO/HlLtJ, male, Blast-a
- GSM8712146 NZO/HlLtJ, male, Sham-b
- GSM8712147 NZO/HlLtJ, male, Blast-b
+ 56 more — browse all 96 samples with per-sample file links →
- GSE276182 NF-κB activation in astrocytes critically affects wound regeneration after traumatic brain injury 51 samples shares traumatic, affect, injury, brain
- GSE276422 NF-κB activation in astrocytes critically affects wound regeneration after traumatic brain injury II 14 samples shares traumatic, affect, injury, brain
- GSE318815 Differential sex-dependent responses of circulating steroid hormones and cortical gene expression in a preclinical traumatic brain injury model 88 samples shares traumatic, injury, brain
- GSE302808 Depletion of Peripheral Monocytes Alters Long-Term Gene Expression in Microglia in a Murine Model of Traumatic Brain Injury 84 samples shares traumatic, injury, brain
- GSE276647 Gene expression profile of microglia following traumatic brain injury and nasal anti-CD3 treatment at acute and chronic timepoints 54 samples shares traumatic, injury, brain
- GSE283560 Fate mapping of peripherally derived macrophages reveals a long-lasting engrafted population that maintains a distinct transcriptomic profile for up to 8 months after Traumatic Brain Injury III 65 samples shares traumatic, injury, brain
- 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 traumatic, injury, brain
- GSE269748 A single-cell atlas deconstructs heterogeneity across multiple models in murine traumatic brain injury and identifies novel cell-specific targets 36 samples shares traumatic, injury, 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.