Our laboratory has two areas of interest – eicosanoid biology and molecular clocks.
In the case of eicosanoids, we are interested in the role they play in modulating the immune response in atherosclerosis and cancer, the promotion and restraint of cardiopulmonary fibrosis, in the response to viral infection and in stem cell biology. We are interested in the many factors that contribute to variability in the response to NSAIDs, including the microbiome, genomics, time of drug administration and metabolomics; the use of dynamic and network-based modelling to study drug response and the use of AI and machine learning approaches to develop paradigms predictive of efficacy and risk.
In the case of clocks, we are interested in how a decline in oscillatory function may contribute to age related phenotypes. We are integrating multiple remote sensing approaches with multi-omics analyses to characterize the human chronobiome and to identify time dependent networks that decline with age. Besides affording insight into the trajectory of aging this may afford the opportunity to obtain, in an unbiased fashion, mechanistic insights into time dependent disease phenotypes, such as non-dipping hypertension.
Perhaps the distinguishing feature of our group is that we pursue interdisciplinary translational science with a focus on therapeutics. Thus, we work in different model systems – mammalian cells, fish and mice – but also in humans. Ideally, we develop quantitative approaches that can be projected from our experiments in the model systems to guide elucidation of drug action in humans1. We believe in probing lare human datasets, such as the UK Biobank and the Penn Med Biobank to generate hypotheses and then to use deep and perturbed phenotyping in our Center for Human Phenomics to narrow the hypothesis space2.
We utilized mass spectrometry for molecular identification, imaging and quantitation, targeting the arachidonate derived lipidome, the metabolome and the proteome.
Our group includes clinicians, molecular and cell biologists, mass spectroscopists, statisticians and bioinformaticians.
More than 100 postdoctoral trainees have passed through this laboratory in the almost 40 years of its existence. Roughly half are M.D.s or M.D. – Ph.D.s and of the former group roughly half have never been in a laboratory before. Graduates of the program have moved on to faculty and administrative roles in academia, scientific appointments in pharma and biotech, jobs in funding bodies and the financial sector.
If you want a training experience that blends the rigor of basic science with the relevance to human health of clinical research, this is the place for you!