The cardiovascular system is one of the earliest systems to form and perform critical physiological functions during embryo development. Cardiovascular disease is the leading cause of human death after 40 years of age. Moreover, pathological changes in the cardiovascular system also have a profound negative impact on the treatment and prognosis of many other serious diseases such as cancer, infectious disease, and neurodegenerative disease. Therefore, investigating cardiovascular system development and disease at single-cell resolution will provide a clear picture of the complexity of this vital system and greatly advance human knowledge, health care, and regenerative medicine. With the rapid advance in technologies encompassing high-throughput sequencing, high-resolution and live imaging, high-content screening, big data analysis and modeling, a large amount of new data and methodologies emerge and will bring transformative change in cardiovascular research.
Contributions addressing these and related issues are welcome for this Research Topic, including those presenting new findings as well as ones reviewing the field more broadly. Specific themes include, but not limited to:
1. Single-cell analysis in cardiovascular system development, disease, aging, reprogramming;
2. Single-cell multiomics analysis;
3. Imaging analysis at single-cell level;
4. Integrative analysis of single-cell data across platforms;
5. Application of machine-learning in single-cell multiomics analysis;
6. Resource of Single-cell Analysis in Cardiovascular System Development and Disease
The cardiovascular system is one of the earliest systems to form and perform critical physiological functions during embryo development. Cardiovascular disease is the leading cause of human death after 40 years of age. Moreover, pathological changes in the cardiovascular system also have a profound negative impact on the treatment and prognosis of many other serious diseases such as cancer, infectious disease, and neurodegenerative disease. Therefore, investigating cardiovascular system development and disease at single-cell resolution will provide a clear picture of the complexity of this vital system and greatly advance human knowledge, health care, and regenerative medicine. With the rapid advance in technologies encompassing high-throughput sequencing, high-resolution and live imaging, high-content screening, big data analysis and modeling, a large amount of new data and methodologies emerge and will bring transformative change in cardiovascular research.
Contributions addressing these and related issues are welcome for this Research Topic, including those presenting new findings as well as ones reviewing the field more broadly. Specific themes include, but not limited to:
1. Single-cell analysis in cardiovascular system development, disease, aging, reprogramming;
2. Single-cell multiomics analysis;
3. Imaging analysis at single-cell level;
4. Integrative analysis of single-cell data across platforms;
5. Application of machine-learning in single-cell multiomics analysis;
6. Resource of Single-cell Analysis in Cardiovascular System Development and Disease
