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HIF1α gates tendon response to overload and drives tendinopathy independently from vascular recruitment

GSE276425 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/11/24 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 8 × Mouse TTFs KO vs 8 × Mouse TTFs WTGroups 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
HIF1α gates tendon response to overload and drives tendinopathy independently of vascular recruitmentScience translational medicine · 2026
Summary (written by the submitters)
To investigate the role for HIF1α stabilization in tendon pathology, we generated mice with a tendon cell-targeted knockout of von Hippel-Lindau (VHL) protein by intercrossing ScxCre mice, in which Cre recombinase is under the Scleraxis promoter, with mice carrying the loxP -flanked Vhl alleles. VHL acts as a ubiquitin ligase that marks HIFs for proteolytic degradation under normoxic conditions, thereby silencing the HIF dependent transcriptional program.
Read the full summary ↓
Hence, Vhl knockout results in stabilization of HIFs. We then performed gene expression analysis of tail tendon fascicles to confirm the activation of a HIF-dependent angiogenic and metabolic transcriptional program in the knockout mice compared to the wild types.
Published in
HIF1α gates tendon response to overload and drives tendinopathy independently of vascular recruitment
Moschini G, Mohanan AG, Niewczas IS et al. · Science translational medicine 2026 · PMID 41499520 · doi:10.1126/scitranslmed.adt1228
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 GSE276425_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 PRJNA1157332 and SRA study SRP530545. Searching any of these in the dataset finder brings you back here.

Study design
8 × Mouse TTFs KO vs 8 × Mouse TTFs WT

Supports a between-group comparison across 16 samples.

How we read this: 2 replicated groups read from 16 sample titles; they account for 16 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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