Assistant Professor
Department of Medicine
Genetic Medicine Building
CB# 7042
120 Mason Farm Road
Research
We study the molecular mechanisms of HIV latency. Transcriptional silencing of HIV is a key mechanism of persistence in patients, and is a barrier to viral eradication, but little is known about the latent reservoir or the molecular mechanisms that regulate it. As such, our repertoire of drugs for targeting latently infected cells is limited. Some latency reversing agents (LRAs) have been developed, but these are typically reactivate only a minor subset of proviruses. This inefficiency is in part due to the reservoir not constituting a uniform target, but instead being a heterogeneous set of cells with diverse characteristics and restrictions to HIV expression. However, most analyses of latency use bulk cell cultures assays in which crucial information about the behavior of individual cells is lost. Also, latently infected cells in patient samples are exceedingly rare, making them very difficult to study directly. New technological breakthroughs in the field of single cell analysis as well as the development of primary cell models for HIV latency now open the possibility of observing how latently infected cells form and are maintained at single cell resolution. Our lab has developed tools to study the establishment, maintenance and reversal of HIV latency at single cell resolution using multi-omics methods. Furthermore, we combine these approaches with genetic perturbation, time-lapse microscopy and novel bioengineering tools to gain insight into how the host cell regulates HIV latency. We have recently discovered using single cell RNAseq (scRNAseq) that latency in primary CD4 T cells is associated with expression of a distinct transcriptional signature (Bradley et al 2018). Our hypothesis is that this signature represents part of a cellular program that regulates latency, and that this program is an exciting novel target for the development of LRAs. Ongoing projects in the lab involve the application of new technologies to our model systems, and testing/validation of the roles of host cell pathways we have identified in HIV latency. Our overall goal is to identify new targets for the development of drugs to clear the HIV reservoir.
