Transcriptomic changes after orexin receptor antagonism in P301S/E4 mouse model of tauopathy
RNA-seq (gene expression) · mouse · 19 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
- 19 samples: 19 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
- Lemborexant ameliorates tau-mediated sleep loss and neurodegeneration in males in a mouse model of tauopathyNature neuroscience · 2025
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 GSE283736_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 PRJNA1195107 and SRA study SRP549842. 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 19 sample titles: 19 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.
- GSM8671153 1064_Lem
- GSM8671154 1333_Lem
- GSM8671155 1370_Lem
- GSM8671156 1374_Lem
- GSM8671157 1419_Lem
- GSM8671158 1425_Lem
- GSM8671159 1525_Lem
- GSM8671160 1574_Veh
- GSM8671161 1594_Veh
- GSM8671162 1596_Veh
- GSM8671163 1597_Veh
- GSM8671164 1600_Veh
- GSM8671165 1601_Veh
- GSM8671166 1602_Veh
- GSM8671167 859_Lem
- GSM8671168 906_Lem
- GSM8671169 907_Lem
- GSM8671170 921_Veh
- GSM8671171 933_Veh
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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.