← BioTransfer GEO Dataset Finder
GEO series

Transcriptome Analysis Identifies Proteostasis and Cell Survival Pathway Disruption in Peripartum Cardiomyopathy, Leading to Heart Failure

GSE335944 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2026/07/01 Platform GPL29480
Summary
Peripartum cardiomyopathy (PPCM) is a pregnancy-associated form of systolic heart failure that develops when hemodynamic, metabolic, and hormonal stress of late gestation exceeds maternal cardiac adaptive capacity. While vascular, inflammatory, and genetic contributions have been implicated in PPCM, the integrated molecular programs connecting pregnancy-related stress to cardiomyocyte failure remain poorly defined. To elucidate these mechanisms, we performed a transcriptome-wide RNA seq of left ventricles from females with PPCM and non-failing female normal donor controls. Differential expression analysis identified 2891 genes with altered expressions (1491 upregulated, 1400 downregulated; fold change ≥ 2, FDR < 0.05). Ingenuity pathway analysis (IPA) revealed the activation of protein ubiquitination pathways, EIF2 signaling, mitochondrial dysfunction, and apoptosis pathways. Upstream regulator analysis indicated the suppression of mitochondrial protease CLPP (Z = −4.075) and activation of COPS5 (Z = +5.982) and TEAD1 (Z = +5.00), delineating dual regulatory modules of disease remodeling. Integrated network analysis demonstrated a loss of protein quality control and survival signaling with the activation of stress response and translational repression programs. This signifies a collapse of proteostasis and maladaptive adaptation. Collectively, these data define PPCM as a disorder of failed proteostasis and impaired translational homeostasis. Our analysis provides a systems-level framework connecting PPCM to ventricular dysfunction with potential therapeutic targets in mitochondria, protein quality-control, integrated stress–response, and COP9 signaling pathways.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE335944_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1479860 and SRA study SRP710824. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 4 more — browse all 4 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

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.