Transcriptomic sequencing reveals gene expression profiles underlying photobiomodulation-mediated amelioration of hypobaric hypoxia-induced synaptic plasticity deficits in mice
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: 5 × Prefrontal cortex, control vs 5 × Prefrontal cortex, interventionGroups 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 GSE325653_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 PRJNA1441425 and SRA study SRP685889. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 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.
- GSM9610167 Prefrontal cortex, control-01 Prefrontal cortex, cont…
- GSM9610169 Prefrontal cortex, control-02 Prefrontal cortex, cont…
- GSM9610171 Prefrontal cortex, control-03 Prefrontal cortex, cont…
- GSM9610173 Prefrontal cortex, control-04 Prefrontal cortex, cont…
- GSM9610175 Prefrontal cortex, control-05 Prefrontal cortex, cont…
- GSM9610177 Prefrontal cortex, intervention-01 Prefrontal cortex, inte…
- GSM9610179 Prefrontal cortex, intervention-02 Prefrontal cortex, inte…
- GSM9610181 Prefrontal cortex, intervention-03 Prefrontal cortex, inte…
- GSM9610183 Prefrontal cortex, intervention-04 Prefrontal cortex, inte…
- GSM9610185 Prefrontal cortex, intervention-05 Prefrontal cortex, inte…
- GSE185063 APOE4 cell-specific mechanisms underlying cerebrovascular disorder precede neuronal and synaptic dysfunction and cognitive deficits in mice 16 samples shares underlying, synaptic
- GSE276528 Molecular states underlying neuronal cell type development and plasticity in the whisker cortex 12 samples shares underlying, plasticity
- GSE268822 Transcriptional landscapes underlying Notch-induced lineage conversion and reprogramming of mammary cells 840 samples shares underlying
- GSE232833 Molecular Cascade Reveals Sequential Milestones Underlying Hippocampal Neural Stem Cell Development into an Adult State 189 samples shares underlying
- GSE71485 Single-cell RNA-seq with Waterfall Reveals Molecular Cascades underlying Adult Hippocampal Neurogenesis 173 samples shares underlying
- GSE293874 Anchored screening identifies transcription factor blueprints underlying dendritic cell diversity and subset-specific anti-tumor immunity [mouse bulk RNA-seq] 167 samples shares underlying
- GSE312237 Spatial transcriptomic profiling identifies lacrimal gland epithelial cell-driven mechanisms underlying autoimmunity in Sjögren’s disease 90 samples shares underlying
- GSE165287 Gene Expression Regulation in Brain Underlying Innate Immune Memory 60 samples shares underlying
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.