Isoform Usage as a Distinct Regulatory Layer Driving Nutrient-Responsive Metabolic Adaptation
RNA-seq (gene expression) · Macaca fascicularis; Mus musculus · 129 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
- Macaca fascicularis; Mus musculus
- Samples
- 129 samples: 129 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
- Isoform usage as a distinct regulatory layer driving nutrient-responsive metabolic adaptationCell metabolism · 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 GSE248966_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 PRJNA1046512 and SRA study SRP474987. 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 129 sample titles: 129 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.
- GSM7920832 liver full-length
- GSM7920833 muscle full-length
- GSM7920834 oWAT full-length
- GSM7920835 sWAT full-length
- GSM7923586 AA 12h, adipocytes
- GSM7923587 AA 3h, adipocytes
- GSM7923588 AA 6h, adipocytes
- GSM7923589 Aicar 12h, adipocytes
- GSM7923590 Aicar 3h, adipocytes
- GSM7923591 Aicar 6h, adipocytes
- GSM7923592 Glu 12h, adipocytes
- GSM7923593 Glu 3h, adipocytes
- GSM7923594 Glu 6h, adipocytes
- GSM7923595 Torin 12h, adipocytes
- GSM7923596 Torin 3h, adipocytes
- GSM7923597 Torin 6h, adipocytes
- GSM7923598 con 12h, adipocytes
- GSM7923599 con 3h, adipocytes
- GSM7923600 con 6h, adipocytes
- GSM7923601 Insulin 1h, adipocytes
- GSM7923602 Insulin 2h, adipocytes
- GSM7923603 Insulin 4h, adipocytes
- GSM7923604 stuffer 1h, adipocytes
- GSM7923605 stuffer 2h, adipocytes
- GSM7923606 stuffer 4h, adipocytes
- GSM7923607 HuR KO 1h, DMEM, adipocytes
- GSM7923608 HuR KO 2h, DMEM, adipocytes
- GSM7923609 HuR KO 4h, DMEM, adipocytes
- GSM7923610 HuR KO 1h, Insulin, adipocytes
- GSM7923611 HuR KO 2h, Insulin, adipocytes
- GSM7923612 HuR KO 4h, Insulin, adipocytes
- GSM7923613 Control 1h, DMEM, adipocytes
- GSM7923614 Control 2h, DMEM, adipocytes
- GSM7923615 Control 4h, DMEM, adipocytes
- GSM7923616 Control 1h, Insulin, adipocytes
- GSM7923617 Control 2h, Insulin, adipocytes
- GSM7923618 Control 4h, Insulin, adipocytes
- GSM7923619 Control 12h, DMSO, adipocytes
- GSM7923620 Control 3h, DMSO, adipocytes
- GSM7923621 Control 6h, DMSO, adipocytes
+ 89 more — browse all 129 samples with per-sample file links →
No close match found for this topic, so these are simply the most-viewed datasets of the same kind.
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.