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Stephen J Merrill

Publications and source records attributed to Stephen J Merrill.

2 recordsLinked to original sources

Sequence variation in the gene encoding the nonstructural 3 protein of hepatitis C virus: evidence for immune selection.

To determine whether the persistent nature of hepatitis C infection is related to the emergence of antigenic variants driven by immune selection, we examined the sequence heterogeneity in a portion of the hepatitis C virus (HCV) nonstructural 3 (NS3) gene of a patient infected over the course of more than 2 years. By PCR amplification, cloning, and sequencing, we observed several variable and conserved regions in the NS3 segment of the HCV genome. All variable regions had higher ratios of nonsynonymous/synonymous mutations and encompassed immunodominant epitopes, and their locations were not essential to maintain the known function of HCV RNA helicase. In contrast, the regions that are critical for HCV RNA helicase activity were found to be conserved with lower heterogeneity or lower ratios of nonsynonymous/synonymous mutations, and none except one of these regions was encoded within immunodominant epitopes. Our results are consistent with immune selection of viral variants at the epitope and molecular levels that may enable HCV to evade host defenses over time. Plotting the relatedness of sequence variants revealed a star topology suggesting that a wild-type HCV sequence is maintained, unlike HIV.

Amino Acid Sequence↗

Detecting autocatalytic dynamics in data modeled by a compartmental model.

Modeling growth or reaction dynamics within a compartment in a compartmental model is often based on theoretical or first principle considerations. This approach is frequently applied due to the inability to observe or collect data directly from the compartment. When the internal dynamics are difficult to surmise, it is often the case that several competing models are constructed and compared in some way. In this paper, the dynamics which characterize the data of an autocatalytic process are used to describe a quantitative data analysis strategy to both recognize the presence of the autocatalytic process and to obtain some estimates of important parameters in the process. The compartmental model structure serves to communicate this dynamical information to the downstream compartments. This method has been applied to examine the dynamics of the engraftment of blood cells following hematopoietic stem cell transplantation in a clinical setting [Modeling the time to engraftment of white blood cells and platelets following autologous peripheral blood stem cell transplantation (2001)].

Catalysis↗