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RNA-seq of kidney transcriptome following UUO injury

GSE306281 Mus musculus (mouse) RNA-seq (gene expression) 75 samples Submitted 2025/08/26 Platform GPL21493
At a glance

RNA-seq (gene expression) · mouse · 75 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
75 samples: 11 conditions, mostly with about 7 replicates eachGroups 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
TIE2 activation by antibody-clustered endogenous angiopoietin-2 prevents capillary loss and fibrosis in experimental kidney diseaseThe Journal of clinical investigation · 2025
Summary (written by the submitters)
The role of endothelial dysfunction in tubulointerstitial fibrosis associated with chronic kidney disease (CKD) is not well understood. In this study, we demonstrate that the activation of the endothelial tyrosine kinase TIE2 alleviates renal pathology in experimental CKD in mice. TIE2 activation was achieved using a human angiopoietin-2 (ANGPT2)-binding and TIE2-activating antibody (ABTAA), or through adult-induced endothelial-specific knockout of the vascular endothelial protein tyrosine phosphatase gene (Veptp).
Read the full summary ↓
Both methods significantly protected CKD mice from endothelial dysfunction, peritubular capillary loss, tubular epithelial injury, and tubulointerstitial fibrosis. Conversely, silencing TIE2 through adult-induced endothelial-specific knockout of the Tie2 gene exacerbated CKD pathology. Additionally, we found that endothelial dysfunction promotes renal fibrosis not through endothelial-to-mesenchymal transition as previously expected, but by inducing the expression of pro-fibrotic PDGFB in tubular epithelial cells, a process that is inhibited by TIE2 activation. Our findings suggest that TIE2 activation via ABTAA warrants investigation in human CKD, where there is a significant unmet medical need.
Published in
TIE2 activation by antibody-clustered endogenous angiopoietin-2 prevents capillary loss and fibrosis in experimental kidney disease
Pietilä R, Marks-Hultström A, He L et al. · The Journal of clinical investigation 2025 · PMID 40952790 · doi:10.1172/JCI190286
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 GSE306281_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 PRJNA1310405 and SRA study SRP612581. Searching any of these in the dataset finder brings you back here.

Study design
11 conditions, mostly with about 7 replicates each
H ×12 G ×12 P ×8 B ×7 E ×7 F ×7 D ×6 A ×5 +3 more

Supports a between-group comparison across 75 samples.

How we read this: 11 replicated groups read from 75 sample titles; they account for 75 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

+ 35 more — browse all 75 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.