Our research program is focused on pharmacogenomics and disease modeling. Applying a combination of hiPSC culture, tissue engineering, sequencing, high-throughput assays, and drug screens, we can establish the genetic cause of a patient's specific drug response and use this information to discover new drugs.
Modeling the genomic basis of cardio-oncology using hiPSC-CMs
One of our primary interests has been in modeling cancer therapy-induced cardiomyopathy, heart failure, atrial fibrillation, and peripheral artery disease using hiPSC-derived cardiomyocytes, endothelial cells, megakaryocytes, and fibroblasts. This method allows us to recapitulate a patient's off-target cardiotoxic response to drugs such as anthracyclines, tyrosine kinase inhibitors, and monoclonal antibodies. Major mechanisms we study include transporters, drug metabolism, mitochondrial behavior, reactive oxygen species, DNA-damage, calcium handling, and sarcomeric damage.
hiPSCs for modeling the role of the genome in heart failure, cardiomyopathy, and channelopathies
hiPSC-derived cardiomyocytes are a unique tool for cardiomyopathy and hypertrophy phenotype screening. Currently, we are researching why some heart failure drugs only work in specific populations and novel drugs that inhibit and/or reverse these phenotypes in a genetic variant-specific manner.
hiPSC- and direct reprogramming-based cardiac regeneration and regenerative medicine
We are looking at hiPSC-derived and directly reprogrammed cells in cardiac cell therapy and the fundamental questions of how we can improve the yield, engraftment, survival, and function of these cells. This work involves the study of immunogenicity, in vivo differentiation, methods for direct reprogramming, and the induction of in vivo cell-type-specific proliferation using small molecules.
hiPSC modeling of
We are interested in modeling patient-specific drug toxicity in many lineages in addition to hiPSC-derived cardiomyocytes, studying drug metabolism using hiPSC-derived hepatocytes, proximal tubular and podocyte cells.
A recent direction for the lab has been modeling cancer treatment-induced infertility using hiPSC-derived primordial germ cells (PGCs) and follicles.
Oncology: breast and prostate cancer
hiPSCs are unique as a model for cancer as they offer homogeneous unlimited expansion without the phenotypic drifts seen with patient-derived xenograft (PDX) models and without the inability to model early stage cancer seen with immortalized cell lines. We are using these cells in a reductionist approach to model the underlying mechanisms of tumorigenesis, germline influence on drug response, and drug resistance.
Pluripotent stem cell biology
We are actively researching how modifying the pluripotent state can influence subsequent differentiation, synthetic matrices, the maintenance of proliferative differentiation intermediates, and direct reprogramming. We are working on increasingly refined, simplified, and reproducible methods for producing cells of the cardiovascular (cardiomyocytes, endothelial cells, fibroblasts, and smooth muscle), hematopoietic (megakaryocytes), hepatic (hepatocytes), renal (proximal tubular and podocyte cells), neural (sensory and motor neurons), and reproductive (PGCs and follicles) lineages. Once cells are differentiated to a specific lineage, we work to control subtype specification and maturation.
Pharmacogenomics and bioinformatics
The ability to capture a single human genome in culture as a hiPSC and then differentiate it to any desired cell type holds enormous potential to interrogate the genome. We are interested in how gene expression analysis (RNA-seq) of drug-treated hiPSC-derived cells can be combined with whole genome association studies (WGAS) to provide differential expression quantitative trait loci (
Drug screening and discovery
We have our own mini drug discovery facility, and we use a variety of tools for drug testing, including Labcyte Echo 555 liquid handling, automated triple-mode plate readers, a fully automated Nikon microscope with encoded stage, perfect focus, and high-content software, a Vala Sciences Kinetic Image Cytometer for high-throughput calcium and high-content imaging, and a Nanion Syncropatch for automated patch clamp.
CRISPR-based knockout screening
To functionally validate how SNPs influence drug response, we are performing CRISPR-based knockouts, AAVS1-based overexpression, and SNP corrections. We are also performing both pooled and arrayed CRISPR-based high-throughput screens to discover further probe mechanisms of action.
As part of our stem cell effort, we are working on the construction of multicellular organ-on-a-chip systems to better develop the most accurate cellular models to recapitulate the patient's original drug response.