Transcriptomic profiling across 20 CC-RIX genetic backgrounds with and without high-fat high-sugar (HFHS) diet, and with and without metformin [skeletal muscle]
RNA-seq (gene expression) · mouse · 703 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
- 703 samples: 703 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 GSE237747_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 PRJNA996537 and SRA study SRP450454. 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 703 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.
- GSM7647798 ORSAM10532-1
- GSM7647799 ORSAM10534-1
- GSM7647800 ORSAM11570-1
- GSM7647801 ORSAM11863-1
- GSM7647802 ORSAM11870-1
- GSM7647803 ORSAM12418-1
- GSM7647804 ORSAM13780-1
- GSM7647805 ORSAM13925-1
- GSM7647806 ORSAM13927-1
- GSM7647807 ORSAM14006-1
- GSM7647808 ORSAM14009-1
- GSM7647809 ORSAM14895-1
- GSM7647810 ORSAM14983-1
- GSM7647811 ORSAM15805-1
- GSM7647812 ORSAM16253-1
- GSM7647813 ORSAM16261-1
- GSM7647814 ORSAM16597-1
- GSM7647815 ORSAM16616-1
- GSM7647816 ORSAM17193-1
- GSM7647817 ORSAM17571-1
- GSM7647818 ORSAM17917-1
- GSM7647819 ORSAM18493-1
- GSM7647820 ORSAM18796-1
- GSM7647821 ORSAM19704-1
- GSM7647822 ORSAM19903-1
- GSM7647823 ORSAM5534-1
- GSM7647824 ORSAM5536-1
- GSM7647825 ORSAM9254-1
- GSM7647826 ORSAM9269-1
- GSM7647827 ORSAM9279-1
- GSM7647828 ORSAM10513-1
- GSM7647829 ORSAM10537-1
- GSM7647830 ORSAM11532-1
- GSM7647831 ORSAM11539-1
- GSM7647832 ORSAM11574-1
- GSM7647833 ORSAM11854-1
- GSM7647834 ORSAM11855-1
- GSM7647835 ORSAM12557-1
- GSM7647836 ORSAM12575-1
- GSM7647837 ORSAM12579-1
+ 663 more — browse all 703 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
- GSE237737 Transcriptomic profiling across 20 CC-RIX genetic backgrounds with and without high-fat high-sugar (HFHS) diet, and with and without metformin [adipose] 705 samples shares cc-rix, hfhs, backgrounds, high-sugar, metformin, high-fat, genetic
- 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
- 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, skeletal
- 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, skeletal
- 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, skeletal
- 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, skeletal
- 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, skeletal
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.