Transcriptomic profiling across 20 CC-RIX genetic backgrounds with and without high-fat high-sugar (HFHS) diet, and with and without metformin [liver]
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 GSE237743_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 PRJNA996538 and SRA study SRP450487. 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.
- GSM7647080 ORSAM10497-1
- GSM7647081 ORSAM11483-1
- GSM7647082 ORSAM11487-1
- GSM7647083 ORSAM11561-1
- GSM7647084 ORSAM11679-1
- GSM7647085 ORSAM11819-1
- GSM7647086 ORSAM11823-1
- GSM7647087 ORSAM12408-1
- GSM7647088 ORSAM12483-1
- GSM7647089 ORSAM12486-1
- GSM7647090 ORSAM12491-1
- GSM7647091 ORSAM12505-1
- GSM7647092 ORSAM13765-1
- GSM7647093 ORSAM13885-1
- GSM7647094 ORSAM13887-1
- GSM7647095 ORSAM14003-1
- GSM7647096 ORSAM14145-1
- GSM7647097 ORSAM14153-1
- GSM7647098 ORSAM14727-1
- GSM7647099 ORSAM14744-1
- GSM7647100 ORSAM14879-1
- GSM7647101 ORSAM14884-1
- GSM7647102 ORSAM14972-1
- GSM7647103 ORSAM15753-1
- GSM7647104 ORSAM15756-1
- GSM7647105 ORSAM16227-1
- GSM7647106 ORSAM16236-1
- GSM7647107 ORSAM16244-1
- GSM7647108 ORSAM16246-1
- GSM7647109 ORSAM16343-1
- GSM7647110 ORSAM16367-1
- GSM7647111 ORSAM16543-1
- GSM7647112 ORSAM16545-1
- GSM7647113 ORSAM16546-1
- GSM7647114 ORSAM16548-1
- GSM7647115 ORSAM17136-1
- GSM7647116 ORSAM17154-1
- GSM7647117 ORSAM17159-1
- GSM7647118 ORSAM18469-1
- GSM7647119 ORSAM5519-1
+ 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
- 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, 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.