← BioTransfer GEO Dataset Finder
GEO series

Uncovering Cell Type-Specific Phenotypes Using a Novel Human In vitro Model of Transthyretin Amyloid Cardiomyopathy

GSE294021 Homo sapiens Expression profiling by high throughput sequencing 36 samples 2025/06/11 GPL30173
Summary
Transthyretin amyloid cardiomyopathy (ATTR-CM) is characterized by the misfolding of transthyretin (TTR), fibrillogenesis, and progressive amyloid fibril deposition in the myocardium, leading to cardiac dysfunction with dismal prognosis. In ATTR-CM, either destabilizing mutations (variant TTR, ATTRv) or ageing-associated processes (wild-type TTR, ATTRwt) lead to the formation of TTR amyloid fibrils. Due to a lack of representative disease models, ATTR-CM disease mechanisms are largely unknown, thereby limiting disease understanding and therapeutic discovery. Methods and Results: Here, we report a novel in vitro ATTR-CM model which uncovers cell type-specific disease phenotypes by exposing the three major human cardiac cell types to TTR fibrils, thereby providing novel insights into the cellular mechanisms of ATTR-CM disease. Human recombinant TTR proteins (WT, V122I, V30M) and respective fibrils were generated and characterized using Thioflavin T, Amytracker, Congo red and dot blot analyses. Seeding human induced pluripotent stem cell-derived-cardiomyocytes (hiPSC-CMs) and endothelial cells (ECs) on TTR fibrils resulted in reduced cell viability. Confocal microscopy revealed extracellular localization of TTR fibrils to hiPSC-CMs, leading to sarcomere disruption, altered calcium handling and disrupted electromechanical coupling, while ECs showed a reduced migration capacity with aberrant cell morphology. hiPSC-fibroblasts (hiPSC-FBs) were largely unaffected by TTR fibrils, presenting normal viability, but showing enhanced localization with TTR fibrils. Our model shows that WT and variant TTR fibrils lead to cell type-specific phenotypes, providing novel insights into the underlying cellular disease mechanisms of ATTR-CM, thereby facilitating the identification of novel therapeutic targets and biomarkers.
Download
NCBI GEO page ↗ Paper (PMID 40619379) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
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.