SignificanceWe find that telomere shortening, which usually accompanies cell division in the course of aging, occurs in cardiomyocytes (CMs) of individuals with genetic hypertrophic cardiomyopathy (HCM) or dilated cardiomyopathy (DCM). HCM and DCM CMs differentiated from human-induced pluripotent stem cells (hiPSCs) also exhibit significant telomere shortening relative to healthy controls. By contrast, no telomere shortening was detected in vascular smooth muscle cells in tissue or hiPSC-derived cells, a cell type that does not express the mutant proteins. Our findings provide evidence for accelerated aging in CMs with familial cardiomyopathy. The potential to monitor the dynamics of telomere attrition in hiPSC-CMs over time will enable future mechanistic studies and screens for novel therapeutic agents to arrest telomere shortening and disease progression.

Terminally differentiated cells are generally thought to have arrived at their final form and function. Many terminally differentiated cell types are polyploid, i.e. they have multiple copies of the normally diploid genome. Mammalian heart muscle cells, termed cardiomyocytes, are one such example of polyploid cells. Terminally differentiated cardiomyocytes are bi- or multi-nucleated, or have polyploid nuclei. Recent mechanistic studies of polyploid cardiomyocytes indicate that they can limit cellular proliferation and, hence, heart regeneration. In this short Spotlight, we present the mechanisms generating bi- and multi-nucleated cardiomyocytes, and the mechanisms generating polyploid nuclei. Our aim is to develop hypotheses about how these mechanisms might relate to cardiomyocyte proliferation and cardiac regeneration. We also discuss how these new findings could be applied to advance cardiac regeneration research, and how they relate to studies of other polyploid cells, such as cancer cells.

During COVID19 and other viral pandemics, rapid generation of host and pathogen genomic data is critical to tracking infection and informing therapies. There is an urgent need for efficient approaches to this data generation at scale. We have developed a scalable, high throughput approach to generate high fidelity low pass whole genome and HLA sequencing, viral genomes, and representation of human transcriptome from single nasopharyngeal swabs of COVID19 patients.