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BubR1 Insufficiency Recapitulates Changes Associated with Age-Related Cardiac Pathologies

GSE277997 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/09/17 Platform GPL21103
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 × Wildtype_male vs 3 × Hypomorph_male vs 3 × Wildtype_female vs 3 × Hypomorph_femaleGroups 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
BubR1 Insufficiency Drives Transcriptomic Alterations and Pathology Associated With Cardiac Aging and Heart FailureAging cell · 2025
Summary (written by the submitters)
Aging is a major risk factor for cardiovascular diseases, including heart failure, and contributes to pathological changes such as hypertrophy, fibrosis, and cellular senescence in the heart. BubR1, a critical regulator of the spindle assembly checkpoint, has been linked to various aging phenotypes, though its specific role in the heart remains largely unexplored.
Read the full summary ↓
In this study, we examined the effects of BubR1 insufficiency in hypomorphic mice, revealing significant cardiac hypertrophy, fibrosis, and increased markers of cellular senescence. Transcriptomic analysis demonstrated that BubR1 insufficiency triggers molecular changes in the heart similar to those seen in aged hearts. Likewise, comparisons with end-stage heart failure patients showed that BubR1 deficiency mirrors transcriptomic alterations characteristic of heart failure. Importantly, our results indicate that heart failure is associated with reduced BubR1 levels, which also naturally declines with age in the heart. Our findings suggest that BubR1, traditionally known for its mitotic functions, plays a crucial role in maintaining the structure and function of the post-mitotic heart.
Published in
BubR1 Insufficiency Drives Transcriptomic Alterations and Pathology Associated With Cardiac Aging and Heart Failure
Pun R, Haas AL, Thapa A et al. · Aging cell 2025 · PMID 40607964 · doi:10.1111/acel.70160
This dataset
Open GSE277997 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE277997_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1165196 and SRA study SRP534842. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40607964) ↗
Study design
3 × Wildtype_male vs 3 × Hypomorph_male vs 3 × Wildtype_female vs 3 × Hypomorph_female

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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