Tauroursodeoxycholic acid ameliorates renal injury induced by COL4A3 mutation
RNA-seq (gene expression) · mouse · 10 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
- 10 samples: 5 × kidney glomeruli, Col4a3 wild-type vs 5 × kidney glomeruli, Col4a3 p.G799RGroups 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
- Tauroursodeoxycholic acid ameliorates renal injury induced by COL4A3 mutationKidney international · 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 GSE261588_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 PRJNA1087890 and SRA study SRP495248. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM8147127 kidney glomeruli, Col4a3 wild-type rep1 kidney glomeruli, Col4a…
- GSM8147128 kidney glomeruli, Col4a3 wild-type rep2 kidney glomeruli, Col4a…
- GSM8147129 kidney glomeruli, Col4a3 wild-type rep3 kidney glomeruli, Col4a…
- GSM8147130 kidney glomeruli, Col4a3 wild-type rep4 kidney glomeruli, Col4a…
- GSM8147131 kidney glomeruli, Col4a3 wild-type rep5 kidney glomeruli, Col4a…
- GSM8147132 kidney glomeruli, Col4a3 p.G799R rep1 kidney glomeruli, Col4a…
- GSM8147133 kidney glomeruli, Col4a3 p.G799R rep2 kidney glomeruli, Col4a…
- GSM8147134 kidney glomeruli, Col4a3 p.G799R rep3 kidney glomeruli, Col4a…
- GSM8147135 kidney glomeruli, Col4a3 p.G799R rep4 kidney glomeruli, Col4a…
- GSM8147136 kidney glomeruli, Col4a3 p.G799R rep5 kidney glomeruli, Col4a…
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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.