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Expression data from the transplanted kidney and the native kidney of NEP25 mice with/without the treatment of LMB2

GSE125840 Mus musculus (mouse) RNA-seq (gene expression) 32 samples Submitted 2025/06/04 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 32 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
32 samples: 32 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
A novel glomerulopathy model demonstrates renal counterbalance via local angiotensin II regulationProceedings of the Japan Academy. Series B, Physical and biological sciences · 2025
Summary (written by the submitters)
A previous study revealed the appropriate amount of LMB2 (1.75 ng/g body wt dissolved in 0.1 ml of PBS containing 0.1% bovine serum albumin [BSA]) needed to induce reproducible a focal segmental glomerulosclerosis (FSGS) lesions in NEP25 mice. We performed kidney transplantation between NEP25 mice and their wild-type littermates (WTm) which have the same genetic background (C57BL/6N).
Read the full summary ↓
In this study, the transcriptomic profiles of transplanted and native kidneys with/without LMB2 in nephrotic model mice were investigated using the next-generation RNA sequencing (RNA-seq). Reads were mapped on mm10 mouse reference genome and quantified using CLC Genomics Workbench version 10.1.1 (QIAGEN).
Published in
A novel glomerulopathy model demonstrates renal counterbalance via local angiotensin II regulation
Sakamoto K, Kawanishi K, Kim JD et al. · Proceedings of the Japan Academy. Series B, Physical and biological sciences 2025 · PMID 40545372 · doi:10.2183/pjab.101.025
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 GSE125840_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 PRJNA517694 and SRA study SRP182826. Searching any of these in the dataset finder brings you back here.

Study design
32 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 32 sample titles: 32 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.

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.