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]
RNA-seq (gene expression) · mouse · 481 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
- 481 samples: 481 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
- Lipidomic QTL in Diversity Outbred mice identifies a novel function for α/β hydrolase domain 2 (Abhd2) as an enzyme that metabolizes phosphatidylcholine and cardiolipinPLoS genetics · 2023
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 GSE266569_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 PRJNA1107602 and SRA study SRP506964. 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 481 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.
- GSM8251149 DO021_F_17_Liver_GT19_33373
- GSM8251150 DO022_F_17_Liver_GT19_33347
- GSM8251151 DO023_F_17_Liver_GT19_33351
- GSM8251152 DO024_F_17_Liver_GT19_33323
- GSM8251153 DO025_F_17_Liver_GT19_33370
- GSM8251154 DO026_F_17_Liver_GT19-33661
- GSM8251155 DO027_F_17_Liver_GT19_33461
- GSM8251156 DO028_F_17_Liver_GT19-33510
- GSM8251157 DO030_F_17_Liver_GT19_33310
- GSM8251158 DO031_F_17_Liver_GT19-33556
- GSM8251159 DO032_F_17_Liver_GT19_33456
- GSM8251160 DO033_F_17_Liver_GT19-33631
- GSM8251161 DO034_F_17_Liver_GT19-33502
- GSM8251162 DO035_F_17_Liver_GT19-33694
- GSM8251163 DO036_F_17_Liver_GT19-33662
- GSM8251164 DO037_F_17_Liver_GT19_33341
- GSM8251165 DO038_F_17_Liver_GT19_33416
- GSM8251166 DO039_F_17_Liver_GT19-33715
- GSM8251167 DO040_F_17_Liver_GT19-33657
- GSM8251168 DO041_F_17_Liver_GT19-33728
- GSM8251169 DO042_F_17_Liver_GT19-33687
- GSM8251170 DO043_F_17_Liver_GT19-33534
- GSM8251171 DO044_F_17_Liver_GT19-33746
- GSM8251172 DO046_F_17_Liver_GT19-33722
- GSM8251173 DO047_F_17_Liver_GT19-33520
- GSM8251174 DO048_F_17_Liver_GT19-33465
- GSM8251175 DO049_F_17_Liver_GT19_33440
- GSM8251176 DO050_F_17_Liver_GT19-33626
- GSM8251177 DO051_F_17_Liver_GT19_33414
- GSM8251178 DO052_F_17_Liver_GT19_33405
- GSM8251179 DO053_F_17_Liver_GT19_33565
- GSM8251180 DO054_F_17_Liver_GT19_33332
- GSM8251181 DO055_F_17_Liver_GT19_33579
- GSM8251182 DO056_F_17_Liver_GT19_33429
- GSM8251183 DO057_F_17_Liver_GT19-33507
- GSM8251184 DO058_F_17_Liver_GT19_33430
- GSM8251185 DO059_F_17_Liver_GT19_33338
- GSM8251186 DO060_F_17_Liver_GT19_33381
- GSM8251187 DO061_F_17_Liver_GT19-33508
- GSM8251188 DO062_F_17_Liver_GT19_33392
+ 441 more — browse all 481 samples with per-sample file links →
- 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, non-islet, skeletal, high-fat, adipose, muscle, liver, heart
- 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, non-islet, skeletal, high-fat, adipose, muscle, liver
- 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, skeletal, high-fat, adipose, muscle, liver, heart
- GSE266918 RNA-seq expression analysis of liver, adipose, skeletal muscle, heart, and pancreatic islets from DO founder strain mice fed high-fat, high-sugar diet. [heart] 63 samples shares high-sugar, skeletal, high-fat, adipose, muscle, liver, heart
- GSE266923 RNA-seq expression analysis of liver, adipose, skeletal muscle, heart, and pancreatic islets from DO founder strain mice fed high-fat, high-sugar diet. [liver] 61 samples shares high-sugar, skeletal, high-fat, adipose, muscle, liver, heart
- GSE266920 RNA-seq expression analysis of liver, adipose, skeletal muscle, heart, and pancreatic islets from DO founder strain mice fed high-fat, high-sugar diet. [Adipose] 61 samples shares high-sugar, skeletal, high-fat, adipose, muscle, liver, heart
- GSE253735 Loss of skeletal muscle Bmal1 +/- Exercise Training [Mouse liver, heart, inguinal white adipose and lung tissues 64 samples shares skeletal, adipose, muscle, liver, heart
- 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 high-sugar, skeletal, high-fat, muscle
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.