Mailing address
Box 800759, Health System
Charlottesville, VA 22908
Charlottesville, VA 22908
Shipping address
415 Lane Road, MR5-Rm. 2225
Charlottesville, VA 22908
Charlottesville, VA 22908
scientific inquiries
Kevin Janes
Department of Biomedical Engineering
University of Virginia
kjanes@virginia.edu
Phone: 434-243-2126 (office)
Fax: 434-982-3870
Department of Biomedical Engineering
University of Virginia
kjanes@virginia.edu
Phone: 434-243-2126 (office)
Fax: 434-982-3870
general inquiries
Cheryl Borgman
Department of Biomedical Engineering
University of Virginia
cab9e@virginia.edu
Phone: 434-243-1733 (lab)
Fax: 434-982-3870
Department of Biomedical Engineering
University of Virginia
cab9e@virginia.edu
Phone: 434-243-1733 (lab)
Fax: 434-982-3870
affiliations
- UVA Department of Biomedical Engineering
- UVA Comprehensive Cancer Center
- Robert M. Berne Cardiovascular Research Center
- Center for Public Health Genomics
- UVA Training Program in Cancer Biology
- UVA Medical Scientist Training Program
- UVA Biotechology Training Program
- UVA Cardiovascular Training Program
- UVA Pharmacological Sciences Training Program
Dissecting cell-to-cell regulatory heterogeneity by stochastic profiling
/in Research/by Academic Web PagesThere is tremendous enthusiasm for using the power of transcriptomics to unravel the state of single cells in tissues and tumors. If a single-cell profiling method is to be meaningful, however, it must be i) technically reproducible, ii) sensitive to low-abundance molecules, and iii) compatible with cells isolated in situ. There are many exciting techniques under development to profile the transcriptomes of single cells; unfortunately, none of them meet any of these three criteria.
Methods engineering of biomolecular and cellular assays
/in Research/by Academic Web PagesProblem solving subject to constraints is the hallmark of engineering design (1). We adopt a design approach to invent new methods for interrogating cells and biomolecules. Our goal is to develop bioassays that are sensitive, quantitative, and as high-throughput and multiplex as possible. Most importantly, they should be reliable, generalizable, and shareable.
Systems virology of coxsackievirus B3 pathogenesis
/in Research/by Academic Web PagesCoxsackievirus B3 (CVB3) is a cardiotropic positive-strand RNA virus that is a leading cause of viral myocarditis and heart failure in infants and young children. Nearly all work on CVB3 virology has focused on the docking interactions and gene products of the virus. Sparked by an early collaboration with the McManus laboratory (University of British Columbia), my group has taken a fundamentally different view of CVB3 pathogenesis as a systems-level perturbation of the host.
Predictive modeling of biomolecular networks
/in Research/by Academic Web PagesThousands of biomolecular measurements mean little without a way to interpret them. As engineers, we believe that predictive modeling of biomolecular data is an important tool for interpretation and understanding. Using partial least squares regression (PLSR), we built a predictive model of host-cell responses to virus infection, which uncovered new connections between MAP kinase signaling pathways. We have also structured such models as mathematical tensors that retain how the data were collected. Application of tensor PLSR to a joint signaling–transcriptomic dataset revealed a function for a novel phosphorylation site on an understudied transcription factor. These powerful approaches now inform ongoing and future data-collection efforts in the lab.