Brain pericytes and perivascular fibroblasts are stromal progenitors with dual functions in cerebrovascular regeneration after stroke.

Functional revascularization is key to stroke recovery and requires remodeling and regeneration of blood vessels around which is located the brain's only stromal compartment. Stromal progenitor cells (SPCs) are critical for tissue regeneration following injury in many organs, yet their identity in the brain remains elusive. Here we show that the perivascular niche of brain SPCs includes pericytes, venular smooth muscle cells and perivascular fibroblasts that together help cerebral microvasculature regenerate following experimental stroke.

Spatial Transcriptomics in Human Cardiac Tissue.

Spatial transcriptomics has transformed our understanding of gene expression by preserving the spatial context within tissues. This review focuses on the application of spatial transcriptomics in human cardiac tissues, exploring current technologies with a focus on commercially available platforms. We also highlight key studies utilizing spatial transcriptomics to investigate cardiac development, electro-anatomy, immunology, and ischemic heart disease.

Adipocyte-Mediated Electrophysiological Remodeling of PKP-2 Mutant Human Pluripotent Stem Cell-Derived Cardiomyocytes.

Background: Arrhythmogenic cardiomyopathy (ACM) is a genetic disorder responsible for nearly a quarter of sports-related sudden cardiac deaths. ACM cases caused by mutations in desmosome proteins lead to right ventricular enlargement, the loss of cardiomyocytes, and fibrofatty tissue replacement, disrupting electrical and mechanical stability. It is currently unknown how paracrine factors secreted by infiltrating fatty tissues affect ACM cardiomyocyte electrophysiology.

Computational Study of the Excitation of Human Induced Pluripotent Stem-Cell Derived Cardiomyocytes.

Unlabelled: Human induced pluripotent stem-cell derived cardiomyocytes (hiPSC-CMs) have proven to be a revolutionary advance for tissue engineering, disease modeling, and drug testing and discovery. Computational modeling enables a detailed electrophysiological analysis that is otherwise difficult or impossible to achieve under strictly experimental settings. Action potential characteristics of hiPSC-CMs measured in our lab at four different pacing rates were used it to modify the computational Kernik-Clancy hiPSC-CM model.