Single-cell OMICs analyses have recently become one of the most promising tools to probe biology at the cellular level, in large part due to its ability to address issues beyond the bulk analysis – a window into cellular heterogeneity. The ability to profile transcriptomic, epigenomic, proteomics, and metabolomics at the single cell level including more recently the spatial information has enhanced our ability to understand interactions between biomolecules in different contexts leading to the discovery of specific cellular subpopulations as well as biological mechanisms underlying pathologies which may be amenable to therapeutic interventions. The scale and availability of a variety of technologies to measure intricate molecular details have provided an impetus to research in many disease areas, including cardiovascular medicine.
Cardiovascular diseases (CVD) comprise several conditions involving the myocardium, the pacemaker and conduction system, the valves, and both blood and lymphatic vasculatures and are a leading cause of mortality worldwide. Increasing use of single-cell technologies in the CVD context has given many successful applications: cellular composition of heart, valves, and vasculature in disease and development contexts such as atherosclerosis; cellulome heterogeneity within same types of cells such as endothelial and smooth muscle cells, immune cells, fibroblasts, and valvular interstitial cells; cell-cell communication between resident cells and immune cells responsible for disease pathogenesis, among others. However, despite the growing body of research more studies are needed to be carried out to investigate cellular architecture in the cardiovascular context.
This Research Topic intends to create a forum for current advances in single-cell techniques applied to the cardiovascular diseases arena. Topics include but are not limited to the following:
1) Single-cell technique and methodology development.
2) Cellular heterogeneity in cardiovascular systems.
3) In silico and wet lab approaches involving single cell analysis.
4) Single-cell analysis of valvular and vascular systems.
Single-cell OMICs analyses have recently become one of the most promising tools to probe biology at the cellular level, in large part due to its ability to address issues beyond the bulk analysis – a window into cellular heterogeneity. The ability to profile transcriptomic, epigenomic, proteomics, and metabolomics at the single cell level including more recently the spatial information has enhanced our ability to understand interactions between biomolecules in different contexts leading to the discovery of specific cellular subpopulations as well as biological mechanisms underlying pathologies which may be amenable to therapeutic interventions. The scale and availability of a variety of technologies to measure intricate molecular details have provided an impetus to research in many disease areas, including cardiovascular medicine.
Cardiovascular diseases (CVD) comprise several conditions involving the myocardium, the pacemaker and conduction system, the valves, and both blood and lymphatic vasculatures and are a leading cause of mortality worldwide. Increasing use of single-cell technologies in the CVD context has given many successful applications: cellular composition of heart, valves, and vasculature in disease and development contexts such as atherosclerosis; cellulome heterogeneity within same types of cells such as endothelial and smooth muscle cells, immune cells, fibroblasts, and valvular interstitial cells; cell-cell communication between resident cells and immune cells responsible for disease pathogenesis, among others. However, despite the growing body of research more studies are needed to be carried out to investigate cellular architecture in the cardiovascular context.
This Research Topic intends to create a forum for current advances in single-cell techniques applied to the cardiovascular diseases arena. Topics include but are not limited to the following:
1) Single-cell technique and methodology development.
2) Cellular heterogeneity in cardiovascular systems.
3) In silico and wet lab approaches involving single cell analysis.
4) Single-cell analysis of valvular and vascular systems.
