Diurnal glycogen metabolism drives rhythmic liver protein secretion [in vitro]
RNA-seq (gene expression) · mouse · 47 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
- 47 samples: 47 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
- Feeding-regulated glycogen metabolism drives rhythmic liver protein secretionNature metabolism · 2026
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 GSE283579_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 PRJNA1194566 and SRA study SRP549613. 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 47 sample titles: 47 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.
- GSM8666673 Vehicle treated 3h (biol rep1, batch S1)
- GSM8666674 Vehicle treated 3h (biol rep2, batch S1)
- GSM8666675 Vehicle treated 3h (biol rep3, batch S1)
- GSM8666676 CP91149 treated 3h (biol rep1, batch S1)
- GSM8666677 CP91149 treated 3h (biol rep2, batch S1)
- GSM8666678 CP91149 treated 3h (biol rep3, batch S1)
- GSM8666679 Vehicle treated 6h (biol rep1, batch S1)
- GSM8666680 Vehicle treated 6h (biol rep2, batch S1)
- GSM8666681 Vehicle treated 6h (biol rep3, batch S1)
- GSM8666682 CP91149 treated 6h (biol rep1, batch S1)
- GSM8666683 CP91149 treated 6h (biol rep2, batch S1)
- GSM8666684 CP91149 treated 6h (biol rep3, batch S1)
- GSM8666685 Vehicle treated 14h (biol rep1, batch S1)
- GSM8666686 Vehicle treated 14h (biol rep2, batch S1)
- GSM8666687 CP91149 treated 14h (biol rep1, batch S1)
- GSM8666688 CP91149 treated 14h (biol rep2, batch S1)
- GSM8666689 CP91149 treated 14h (biol rep3, batch S1)
- GSM8666690 Vehicle treated 24h (biol rep1, batch S1)
- GSM8666691 Vehicle treated 24h (biol rep2, batch S1)
- GSM8666692 Vehicle treated 24h (biol rep3, batch S1)
- GSM8666693 CP91149 treated 24h (biol rep1, batch S1)
- GSM8666694 CP91149 treated 24h (biol rep2, batch S1)
- GSM8666695 CP91149 treated 24h (biol rep3, batch S1)
- GSM8666696 Vehicle treated 3h (biol rep1, batch S2)
- GSM8666697 Vehicle treated 3h (biol rep2, batch S2)
- GSM8666698 Vehicle treated 3h (biol rep3, batch S2)
- GSM8666699 CP91149 treated 3h (biol rep1, batch S2)
- GSM8666700 CP91149 treated 3h (biol rep2, batch S2)
- GSM8666701 CP91149 treated 3h (biol rep3, batch S2)
- GSM8666702 Vehicle treated 6h (biol rep1, batch S2)
- GSM8666703 Vehicle treated 6h (biol rep2, batch S2)
- GSM8666704 Vehicle treated 6h (biol rep3, batch S2)
- GSM8666705 CP91149 treated 6h (biol rep1, batch S2)
- GSM8666706 CP91149 treated 6h (biol rep2, batch S2)
- GSM8666707 CP91149 treated 6h (biol rep3, batch S2)
- GSM8666708 Vehicle treated 14h (biol rep1, batch S2)
- GSM8666709 Vehicle treated 14h (biol rep2, batch S2)
- GSM8666710 Vehicle treated 14h (biol rep3, batch S2)
- GSM8666711 CP91149 treated 14h (biol rep1, batch S2)
- GSM8666712 CP91149 treated 14h (biol rep2, batch S2)
+ 7 more — browse all 47 samples with per-sample file links →
- GSE283707 Diurnal glycogen metabolism drives rhythmic liver protein secretion [in vivo] 16 samples shares secretion, glycogen, rhythmic, diurnal, protein, drives, liver
- GSE301899 mTOR signaling contributes to system-driven rhythmic gene expression in mouse liver 282 samples shares rhythmic, liver
- GSE248864 Hepatic Glucocorticoid Receptor (GR) drives the diurnal adaptation to Caloric Restriction 90 samples shares diurnal, drives
- GSE271971 Pulmonary microvascular endothelial cells support alveolar epithelial growth via bone morphogenetic protein 6 secretion 72 samples shares secretion, protein
- GSE330452 Diurnal regulation of Acyl-CoA synthetase 3 (ACSF3) governs rhythmic mitochondrial lysine-malonylation and daily hepatic metabolism 64 samples shares rhythmic, diurnal
- GSE262319 GCN2 drives diurnal patterns in the hepatic integrated stress response and maintains circadian rhythms in whole body metabolism during amino acid insufficiency 24 samples shares diurnal, drives
- GSE202605 An Intrinsic Disorder Region Controlling Condensation of a Circadian Clock Component and Rhythmic Transcription in the Liver [RNA-seq] 12 samples shares rhythmic, liver
- GSE299933 The sleep–wake history contributes to rhythmic BMAL1 chromatin binding in the cerebral cortex but not in the liver 95 samples shares rhythmic, liver
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.