Our team has a translational focus whereby laboratory experiments using disease models are conducted to identify optimal approaches for treating heart failure patients. Our clinical work involves identifying patient populations to receive these treatments as we move toward first-in-human clinical trials for treatment safety and efficacy.
Our bioinformatics interests include single-cell transcriptomics, gene signature enrichment analysis, and computational flow cytometry. Check our our projects on GitHub.
The heart can repair itself. The question is how?
The heart has long been perceived as a terminally differentiated organ with no repair capacity. Our group is challenging this paradigm based on our recent work that demonstrates the adult heart’s ability to generate new heart muscle cells in adults. Read more
Can we generate multiple types of new heart muscle cells?
We have shown that peripheral blood cells can be reprogrammed into immature induced pluripotent stem cells (iPSCs), which are then used to generate different kinds of heart muscle cells. Read more
How can patients with the most severely impaired heart function be rescued and optimized for future regenerative heart therapies?
Projects in this line of research also involve developing strategies to implant total mechanical solutions for heart function, and develop the best strategies to transplant normal cells and 3-D heart muscle cell compounds developed as part of our basic research. Read more