Liver RNA-seq from male C57Bl/6J on a ketogenic diet
RNA-seq (gene expression) · mouse · 15 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
- 15 samples: 15 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.
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 GSE248297_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 PRJNA1043181 and SRA study SRP473353. 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 15 sample titles: 15 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.
- GSM7911127 20462X1_Liver_Control_ALF_replicate1
- GSM7911128 20462X2_Liver_Control_ALF_replicate2
- GSM7911129 20462X3_Liver_HFD_ALF_replicate1
- GSM7911130 20462X4_Liver_HFD_ALF_replicate2
- GSM7911131 20462X8_Liver_Keto_ALF_replicate1
- GSM7911132 20462X9_Liver_Keto_ALF_replicate2
- GSM7911133 20462X13_Liver_HFD_ALF_replicate3
- GSM7911134 20462X14_Liver_HFD_ALF_replicate4
- GSM7911135 20462X15_Liver_HFD_ALF_replicate5
- GSM7911136 20462X18_Liver_Control_ALF_replicate3
- GSM7911137 20462X19_Liver_Control_ALF_replicate4
- GSM7911138 20462X20_Liver_Control_ALF_replicate5
- GSM7911139 20462X23_Liver_Keto_ALF_replicate3
- GSM7911140 20462X24_Liver_Keto_ALF_replicate4
- GSM7911141 20462X25_Liver_Keto_ALF_replicate5
- GSE262523 Diet-Induced Obesity Disrupts Sexually Dimorphic Gene Expression in Liver and Adipose Tissue in Mice 48 samples shares liver, diet
- GSE331228 RNA-seq profiling of liver and lung of CLP mice(6h) 12 samples shares rna-seq, liver
- GSE342447 TH-positive pulmonary nerve fiber-epithelial interaction promotes adipose thermogenesis in male mice [C22_RNA-seq] 4 samples shares rna-seq, male
- GSE316313 Single-cell RNA sequencing of MC38 subcutaneous allograft tumors in C57BL/6J mice treated with FOLFOX alone or in combination with a composite probiotics 9 samples shares c57bl
- GSE342137 Comparison of NK cell transcriptomes between C57BL6 and NOD mouse strains 8 samples shares c57bl
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares rna-seq
- GSE326100 scRNA-seq of mouse cochlea organoid cells 768 samples shares rna-seq
- GSE311449 Single cell RNA-seq of mouse brain vascular cells with Smart-seq2 method 391 samples shares rna-seq
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.