Transcriptomic profiling across 20 CC-RIX genetic backgrounds with and without high-fat high-sugar (HFHS) diet, and with and without metformin [adipose]
RNA-seq (gene expression) · mouse · 705 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
- 705 samples: 705 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
- Transcripts with high distal heritability mediate genetic effects on complex metabolic traitsbioRxiv : the preprint server for biology · 2024
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 GSE237737_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 PRJNA996526 and SRA study SRP450359. 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 the first 400 of 705 sample titles: 400 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.
- GSM7646324 ORSAM10443-1
- GSM7646325 ORSAM10448-1
- GSM7646326 ORSAM10449-1
- GSM7646327 ORSAM10450-1
- GSM7646328 ORSAM10453-1
- GSM7646329 ORSAM10454-1
- GSM7646330 ORSAM10455-1
- GSM7646331 ORSAM10457-1
- GSM7646332 ORSAM10458-1
- GSM7646333 ORSAM10459-1
- GSM7646334 ORSAM10460-1
- GSM7646335 ORSAM10461-1
- GSM7646336 ORSAM10462-1
- GSM7646337 ORSAM10463-1
- GSM7646338 ORSAM10464-1
- GSM7646339 ORSAM10466-1
- GSM7646340 ORSAM10467-1
- GSM7646341 ORSAM10468-1
- GSM7646342 ORSAM10470-1
- GSM7646343 ORSAM10471-1
- GSM7646344 ORSAM10474-1
- GSM7646345 ORSAM10476-1
- GSM7646346 ORSAM10477-1
- GSM7646347 ORSAM11451-1
- GSM7646348 ORSAM11452-1
- GSM7646349 ORSAM11453-1
- GSM7646350 ORSAM11455-1
- GSM7646351 ORSAM11457-1
- GSM7646352 ORSAM11458-1
- GSM7646353 ORSAM11460-1
- GSM7646354 ORSAM11461-1
- GSM7646355 ORSAM11462-1
- GSM7646356 ORSAM11464-1
- GSM7646357 ORSAM11466-1
- GSM7646358 ORSAM11467-1
- GSM7646359 ORSAM11468-1
- GSM7646360 ORSAM11470-1
- GSM7646361 ORSAM11471-1
- GSM7646362 ORSAM11472-1
- GSM7646363 ORSAM11473-1
+ 665 more — browse all 705 samples with per-sample file links →
- GSE237750 Transcriptomic profiling across 20 CC-RIX genetic backgrounds with and without high-fat high-sugar (HFHS) diet, and with and without metformin 2113 samples shares cc-rix, hfhs, backgrounds, high-sugar, metformin, high-fat, genetic, without
- GSE237743 Transcriptomic profiling across 20 CC-RIX genetic backgrounds with and without high-fat high-sugar (HFHS) diet, and with and without metformin [liver] 705 samples shares cc-rix, hfhs, backgrounds, high-sugar, metformin, high-fat, genetic, without
- GSE237747 Transcriptomic profiling across 20 CC-RIX genetic backgrounds with and without high-fat high-sugar (HFHS) diet, and with and without metformin [skeletal muscle] 703 samples shares cc-rix, hfhs, backgrounds, high-sugar, metformin, high-fat, genetic, without
- GSE267727 Transcriptome profiling of non-islet metabolic tissues in ~500 DO mouse liver, adipose, heart, and skeletal muscle tissue from mice fed high-fat, high-sugar diet [heart] 482 samples shares high-sugar, high-fat
- GSE266569 Transcriptome profiling of non-islet metabolic tissues in ~500 DO mouse liver, adipose, heart, and skeletal muscle tissue from mice fed high-fat, high-sugar diet. [Liver] 481 samples shares high-sugar, high-fat
- GSE266567 Transcriptome profiling of non-islet metabolic tissues in ~500 DO mouse liver, adipose, and skeletal muscle tissue from mice fed high-fat, high-sugar diet. [skeletal muscle] 474 samples shares high-sugar, high-fat
- GSE266549 Transcriptome profiling of non-islet metabolic tissues in ~500 DO mouse liver, adipose, and skeletal muscle tissue from mice fed high-fat, high-sugar diet. [Adipose] 468 samples shares high-sugar, high-fat
- GSE266921 RNA-seq expression analysis of liver, adipose, skeletal muscle, heart, and pancreatic islets from DO founder strain mice fed high-fat, high-sugar diet. [Islet] 95 samples shares high-sugar, high-fat
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.