RNA Sequencing of Liver Samples from UM-HET3 Mice Exposed to Various Compounds from the ITP Study
RNA-seq (gene expression) · mouse · 182 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
- 182 samples: 42 conditions, mostly in triplicateGroups 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
- Universal transcriptomic hallmarks of mammalian ageing and mortalityNature · 2026
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 GSE292884_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 PRJNA1241811 and SRA study SRP573008. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 182 samples.
How we read this: 42 replicated groups read from 182 sample titles; they account for 182 of them. 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.
- GSM8868031 Female, Old, 1,3-butanediol, rep 1 Female, Old, 1,3-butane…
- GSM8868032 Female, Old, 1,3-butanediol, rep 2 Female, Old, 1,3-butane…
- GSM8868033 Female, Old, 1,3-butanediol, rep 3 Female, Old, 1,3-butane…
- GSM8868034 Female, Old, bGPA, rep 1 Female, Old, bGPA,
- GSM8868035 Female, Old, bGPA, rep 2 Female, Old, bGPA,
- GSM8868036 Female, Old, bGPA, rep 3 Female, Old, bGPA,
- GSM8868037 Female, Old, Canagliflozin, rep 1 Female, Old, Canagliflo…
- GSM8868038 Female, Old, Canagliflozin, rep 2 Female, Old, Canagliflo…
- GSM8868039 Female, Old, Canagliflozin, rep 3 Female, Old, Canagliflo…
- GSM8868040 Female, Old, Canagliflozin, rep 4 Female, Old, Canagliflo…
- GSM8868041 Female, Old, Canagliflozin, rep 5 Female, Old, Canagliflo…
- GSM8868042 Female, Old, Canagliflozin, rep 6 Female, Old, Canagliflo…
- GSM8868043 Female, Old, Canagliflozin, rep 7 Female, Old, Canagliflo…
- GSM8868044 Female, Old, Captopril, rep 1 Female, Old, Captopril,
- GSM8868045 Female, Old, Captopril, rep 2 Female, Old, Captopril,
- GSM8868046 Female, Old, Captopril, rep 3 Female, Old, Captopril,
- GSM8868047 Female, Old, Candesartan Cilexetil, rep 1 Female, Old, Candesarta…
- GSM8868048 Female, Old, Candesartan Cilexetil, rep 2 Female, Old, Candesarta…
- GSM8868049 Female, Old, Candesartan Cilexetil, rep 3 Female, Old, Candesarta…
- GSM8868050 Female, Old, Control, rep 1 Female, Old, Control,
- GSM8868051 Female, Old, Control, rep 2 Female, Old, Control,
- GSM8868052 Female, Old, Control, rep 3 Female, Old, Control,
- GSM8868053 Female, Old, Control, rep 4 Female, Old, Control,
- GSM8868054 Female, Old, Control, rep 5 Female, Old, Control,
- GSM8868055 Female, Old, Control, rep 6 Female, Old, Control,
- GSM8868056 Female, Old, Control, rep 7 Female, Old, Control,
- GSM8868057 Female, Old, Control, rep 8 Female, Old, Control,
- GSM8868058 Female, Old, Control, rep 9 Female, Old, Control,
- GSM8868059 Female, Old, Control, rep 10 Female, Old, Control,
- GSM8868060 Female, Old, Control, rep 11 Female, Old, Control,
- GSM8868061 Female, Old, Control, rep 12 Female, Old, Control,
- GSM8868062 Female, Old, Control, rep 13 Female, Old, Control,
- GSM8868063 Female, Old, Control, rep 14 Female, Old, Control,
- GSM8868064 Female, Old, Control, rep 15 Female, Old, Control,
- GSM8868065 Female, Old, Control, rep 16 Female, Old, Control,
- GSM8868066 Female, Old, Control, rep 17 Female, Old, Control,
- GSM8868067 Female, Old, Control, rep 18 Female, Old, Control,
- GSM8868068 Female, Old, Control, rep 19 Female, Old, Control,
- GSM8868069 Female, Old, Control, rep 20 Female, Old, Control,
- GSM8868070 Female, Old, Control, rep 21 Female, Old, Control,
+ 142 more — browse all 182 samples with per-sample file links →
- GSE272970 Bulk liver RNA-sequencing of mice co-exposed to simvastatin and 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) 60 samples shares exposed, liver
- GSE284661 RNA sequencing on liver samples from wild type C57BL/6J mice exposed to the vandetanib 4 samples shares exposed, liver
- GSE315992 RNA seq analysis of liver tissue from wild-type mice exposed to CS versus vehicle 7 samples shares exposed, liver
- GSE291322 RNA-seq analysis of liver sinusoidal endothelial cells exposed to hydrostatic pressure stimulation 6 samples shares exposed, liver
- GSE271028 Gene expression profile at single-cell resolution of liver tissues from mice exposed to electromagnetic field (EMF) after 90 and 150 days 6 samples shares exposed, liver
- GSE246775 Transcritptomic on Ageing and learning processes (RNA-Seq) 8 samples shares itp
- GSE332595 RNA transcript changes in Itpr3 p.R2523C Effector Memory CD4+ T cells 6 samples shares itp
- GSE273584 ITPK1 sensitizes tumor cells to IgA-dependent neutrophil killing in vivo [RNA-seq] 3 samples shares itp
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.