Single-cell transcriptomics for the assessment of cardiac disease

Area of Science:

• Cardiovascular Biology
• Genomics
• Molecular Medicine

Background:

• Cardiovascular disease (CVD) is a leading global cause of mortality.
• Improved understanding of CVD mechanisms is crucial for better treatments and risk assessment.
• Current knowledge of the cardiac cellular landscape is limited.

Purpose of the Study:

• To review technical challenges and inferential capabilities of single-cell and single-nucleus transcriptomics in cardiovascular research.
• To present novel findings on cardiac cell types in health and disease using transcriptomics.
• To guide the interpretation of new cardiac cell types and highlight the need for standardization.

Main Methods:

• Large-scale single-cell and single-nucleus transcriptomics.
• Integration of transcriptomics with spatial transcriptomics.
• Analysis of cardiac cell types across development, health, and disease.

Main Results:

• Transcriptomics provides unprecedented detail on the cardiac cellular landscape.
• Novel cardiac cell types and states have been identified.
• Integration with spatial data reveals cellular microenvironments influencing disease.

Conclusions:

• Single-cell transcriptomics offers deep insights into cardiovascular disease mechanisms.
• Standardization of cardiac cell annotation is urgently needed.
• These technologies hold significant promise for future cardiovascular diagnostics and therapeutics.