Short-read RNA-Seq experiment of major tissues from wild-type mice under fasting and fed treatments
RNA-seq (gene expression) · mouse · 16 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
- 16 samples: 16 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
- Unveiling Tissue-Specific RNA Landscapes in Mouse Organs During Fasting and Feeding Using Nanopore Direct RNA SequencingAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 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 GSE267280_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 PRJNA1110980 and SRA study SRP507276. 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 16 sample titles: 16 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.
- GSM8263439 Muscle_Fed [RNA-Seq]
- GSM8263440 Muscle_Fasting [RNA-Seq]
- GSM8263441 Liver_Fed [RNA-Seq]
- GSM8263442 Liver_Fasting [RNA-Seq]
- GSM8263443 White_Adipose_Fed [RNA-Seq]
- GSM8263444 White_Adipose_Fasting [RNA-Seq]
- GSM8263445 Brown_Adipose_Fed [RNA-Seq]
- GSM8263446 Brown_Adipose_Fasting [RNA-Seq]
- GSM8263447 Heart_Fed [RNA-Seq]
- GSM8263448 Heart_Fasting [RNA-Seq]
- GSM8263449 Spleen_Fed [RNA-Seq]
- GSM8263450 Spleen_Fasting [RNA-Seq]
- GSM8263451 Kidney_Fed [RNA-Seq]
- GSM8263452 Kidney_Fasting [RNA-Seq]
- GSM8263453 Lung_Fed [RNA-Seq]
- GSM8263454 Lung_Fasting [RNA-Seq]
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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.