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Glomerulus-enriched RNA-seq of BALB/cAjcl and BALB/cByJcl mice at baseline and Day 5 after Adriamycin administration

GSE320498 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/03/02 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × BALB/cAjcl baseline glomeruli RNA-seq vs 3 × BALB/cAjcl D5 after ADR glomeruli RNA-seq vs 3 × BALB/cByJcl baseline glomeruli RNA-seq vs 3 × BALB/cByJcl D5 after ADR glomeruli RNA-seqGroups 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.
Summary (written by the submitters)
This dataset contains glomerulus-enriched RNA sequencing (RNA-seq) data from two BALB/c mouse substrains, BALB/cAjcl (Ajcl) and BALB/cByJcl (ByJcl). Glomeruli were isolated using a Dynabeads-based perfusion method. Samples were collected from untreated (baseline) mice and from mice on Day 5 after a single intravenous administration of adriamycin (doxorubicin hydrochloride; 10 mg/kg; retro-orbital injection under isoflurane anesthesia).
Read the full summary ↓
Total RNA was extracted from isolated glomeruli, and only samples with RNA integrity number (RIN) ≥ 7.0 were used. RNA-seq libraries were prepared using poly(A) selection for strand-specific sequencing and sequenced on an Illumina NovaSeq 6000 platform to generate 2 × 150 bp paired-end reads (approximately 6 Gb per sample). Primary processing included quality control (FastQC), trimming (Trimmomatic), alignment to the Mus musculus reference genome (GRCm39) with STAR, and gene-level read summarization with featureCounts. Gene-level raw count matrices (tab-delimited) are provided as processed data files.
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE320498_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1428596 and SRA study SRP679465. Searching any of these in the dataset finder brings you back here.

Study design
3 × BALB/cAjcl baseline glomeruli RNA-seq vs 3 × BALB/cAjcl D5 after ADR glomeruli RNA-seq vs 3 × BALB/cByJcl baseline glomeruli RNA-seq vs 3 × BALB/cByJcl D5 after ADR glomeruli RNA-seq

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.

Samples in this study
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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.