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Peptidyl-tRNA hydrolase 2 is an essential negative regulator of peripartum cardiomyopathy with maternal heart failure (human and mouse RNA-seq)

GSE312561 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/12/22 Platform GPL19057Platform GPL29480
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
Samples
12 samples: 3 × Donor LV vs 3 × PPCM LV vs 3 × Ptrh2-NT Mouse LV vs 3 × Ptrh2-CKO Mouse LVGroups 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
Peptidyl-tRNA hydrolase 2 is a negative regulator of peripartum cardiomyopathy with heart failure in female miceNature communications · 2025
Summary (written by the submitters)
The peptidyl-tRNA hydrolase 2 (PTRH2, Bit-1; BIT1) gene plays a pro-survival role during development with loss of function gene mutations causing congenital infantile multisystem disease (IMNEPD). In wild-type female mice hearts, ptrh2 protein levels significantly increase during pregnancy and decrease postpartum, demonstrating a protective role in response to pregnancy-initiated cardiac stresses.
Read the full summary ↓
Peripartum cardiomyopathy (PPCM) is due to dysregulated protective signaling in the pregnant heart. The genetic and molecular mechanisms underlying PPCM remain poorly defined with no specific therapies. Here, we engineered a cardiac-specific Ptrh2 knockout (Ptrh2-CKO) mouse and show these maternal mice develop left ventricular systolic dysfunction, exhibit high rates of postpartum heart failure, and model key features of human PPCM. Infusion of a caspase 3-specific inhibitor attenuated the PPCM phenotype. Collectively, our findings demonstrate Ptrh2 is a negative regulator of pregnancy-induced cardiac stresses by activating pro-survival signals and blocking apoptotic signals, suggesting Ptrh2 may be a therapeutic target for the treatment of PPCM
Published in
Peptidyl-tRNA hydrolase 2 is a negative regulator of peripartum cardiomyopathy with heart failure in female mice
Montoya-Uribe V, Choubey P, Walton CB et al. · Nature communications 2025 · PMID 41413062 · doi:10.1038/s41467-025-67852-9
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 GSE312561_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 PRJNA1374172 and SRA study SRP651448. Searching any of these in the dataset finder brings you back here.

Study design
3 × Donor LV vs 3 × PPCM LV vs 3 × Ptrh2-NT Mouse LV vs 3 × Ptrh2-CKO Mouse LV

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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