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The PIDDosome controls cardiomyocyte polyploidization during postnatal heart development

GSE275946 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2026/01/20 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 6 conditions, mostly with about 4 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
The PIDDosome controls cardiomyocyte polyploidization during postnatal heart developmentCell death and differentiation · 2026
Summary (written by the submitters)
The mammalian adult heart is a post-mitotic organ characterized by mainly polyploid cardiomyocytes (CMs). The post-mitotic status of polyploid adult CMs poses a clear limit to heart regeneration. Thus, understanding how polyploid CMs acquire this status is relevant to heart regeneration therapies. Here, we aim to unveil whether the PIDDosome, a multi-protein complex known to limit scheduled and accidental polyploidization events by activating p53, implements a CM-specific genetic program that controls CM polyploidization during heart development.
Read the full summary ↓
Flow cytometric DNA content analysis coupled with image-based 3D volumetric measurements of CM nuclei showed that PIDDosome knockout animals harbor significantly more polyploid CMs compared to WT animals. This increased CM ploidy levels do not interfere with both cardiac structure and functional output in steady-state and is a cell-autonomous phenotype. During heart development, ploidy analyses revealed that the PIDDosome starts to shape CM ploidy status at postnatal day 7 (P7), reaching a plateau of its action at P14. Moreover, PIDDosome activation in CM is dependent on PIDD1 localization to the extra mother centrioles via the distal appendage protein ANKRD26. Interestingly, in opposite to prior observations the PIDDosome limits CM polyploidization in a p53-independent manner that still involves p21, as confirmed in genetic and nuclear RNAseq analysis. Together these results identify a new molecular machinery that controls proliferation of polyploid CMs postnatally, adding a set of new players that control the tightly regulated program of the terminal CM differentiation occurring in the postnatal heart.
Published in
The PIDDosome controls cardiomyocyte polyploidization during postnatal heart development
Leone M, Kinz N, Eichin F et al. · Cell death and differentiation 2026 · PMID 41526722 · doi:10.1038/s41418-025-01645-x
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 GSE275946_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 PRJNA1153931 and SRA study SRP529373. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly with about 4 replicates each
P1, XMLC2(-)Casp2(fl/fl), ×4 P1, XMLC2(+)Casp2(fl/fl), ×4 P7, XMLC2(-)Casp2(fl/fl), ×4 P7, XMLC2(+)Casp2(fl/fl), ×4 P14, XMLC2(-)Casp2(fl/fl), ×4 P14, XMLC2(+)Casp2(fl/fl), ×4

Supports a between-group comparison across 24 samples.

How we read this: 6 replicated groups read from 24 sample titles; they account for 24 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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