Biomedical subjects

Vy Lam

Publications and source records attributed to Vy Lam.

4 recordsLinked to original sources

PubMed2006

Model-based design of growth-attenuated viruses.

Live-virus vaccines activate both humoral and cell-mediated immunity, require only a single boosting, and generally provide longer immune protection than killed or subunit vaccines. However, growth of live-virus vaccines must be attenuated to minimize their potential pathogenic effects, and mechanisms of attenuation by conventional serial-transfer viral adaptation are not well-understood. New methods of attenuation based on rational engineering of viral genomes may offer a potentially greater control if one can link defined genetic modifications to changes in virus growth. To begin to establish such links between genotype and growth phenotype, we developed a computer model for the intracellular growth of vesicular stomatitis virus (VSV), a well-studied, nonsegmented, negative-stranded RNA virus. Our model incorporated established regulatory mechanisms of VSV while integrating key wild-type infection steps: hijacking of host resources, transcription, translation, and replication, followed by assembly and release of progeny VSV particles. Generalization of the wild-type model to allow for genome rearrangements matched the experimentally observed attenuation ranking for recombinant VSV strains that altered the genome position of their nucleocapsid gene. Finally, our simulations captured previously reported experimental results showing how altering the positions of other VSV genes has the potential to attenuate the VSV growth while overexpressing the immunogenic VSV surface glycoprotein. Such models will facilitate the engineering of new live-virus vaccines by linking genomic manipulations to controlled changes in virus gene-expression and growth.

Animals↗

PubMed2006

Spatial patterns of protein expression in focal infections of human cytomegalovirus.

Human cytomegalovirus (HCMV) is a medically significant human pathogen that infects a wide range of cell and tissue types. During infection, HCMV activates a variety of signal transduction pathways that induce profound changes in cellular processes and dramatically affect cellular gene expression patterns. To better define how these virus-host interactions affect the local microenvironment and influence the spatial and temporal spread of HCMV, we initiated HCMV focal infections on normal human dermal fibroblast monolayers and monitored viral gene expression patterns and infection spread over 45 days. To establish baseline temporal measurements of HCMV infection and spread in cell monolayers, we characterized the influence of three experimental variables on viral gene expression: cell plating density, the presence of serum, and neutralization of cellular antiviral responses with an antibody against interferon-beta. We found that high cell plating density or the inclusion of serum correlated with enhanced HCMV infection spread. Dramatic differences in the expression pattern of the viral immediate early 2 (IE2) gene were observed under these conditions as compared to low plating density or the absence of serum. In the latter case round, uniform foci were observed with a clear wave of IE2 expression visible in advance of a late stage viral protein, envelope glycoprotein B. By contrast, larger irregular foci with arms of IE2 expression were observed in the presence of serum. Addition of the antibody had little effect on the rate of spread, which is consistent with the knowledge that HCMV represses antiviral responses during infection. This experimental system provides a useful means to visualize and quantify complex virus-host interactions.

Antibodies↗

PubMed2005

Arrested spread of vesicular stomatitis virus infections in vitro depends on interferon-mediated antiviral activity.

A quantitative understanding of the innate immune response will enable its recruitment against emerging, poorly characterized, or weaponized viral pathogens. To gain insights into how the innate responses can limit viral spread, we used quantitative focal infections to study how the spread of recombinant vesicular stomatitis viruses (VSV) on baby hamster kidney (BHK) and delayed brain tumor (DBT) cell monolayers is affected by innate cellular antiviral responses. We observed that rates of infection spread correlated with one-step growth rankings for four ectopic VSV strains: N1, N2, N3, and N4. However, this correlation was lost for M51R, a recombinant VSV mutant that lacks the ability to shut-off host gene expression. In BHK cells, M51R spread at two-thirds the rate of the recombinant control virus, XK3.1, even though their one-step growth was comparable. In DBT cells, M51R infections failed to spread beyond the site of inoculation. Addition of anti-interferon antibody restored M51R spread and one-step growth to wild-type levels. Interestingly, the antibody enhanced the spread of wild-type virus but not its growth. These results suggest that while the rate of viral spread generally correlates with the rate of viral growth, the induction of cellular antiviral activities can be in some cases, the overriding factor in both spread and growth. In summary, focal infections enabled us to visualize and quantify how viral spread was inhibited by cellular antiviral activities. This study demonstrates a mechanism for quantifying how innate cellular responses can mitigate infection spread in vitro.

Animals↗

PubMedDate not supplied

An insight-based longitudinal study of visual analytics.

Visualization tools are typically evaluated in controlled studies that observe the short-term usage of these tools by participants on preselected data sets and benchmark tasks. Though such studies provide useful suggestions, they miss the long-term usage of the tools. A longitudinal study of a bioinformatics data set analysis is reported here. The main focus of this work is to capture the entire analysis process that an analyst goes through from a raw data set to the insights sought from the data. The study provides interesting observations about the use of visual representations and interaction mechanisms provided by the tools, and also about the process of insight generation in general. This deepens our understanding of visual analytics, guides visualization developers in creating more effective visualization tools in terms of user requirements, and guides evaluators in designing future studies that are more representative of insights sought by users from their data sets.

Algorithms↗