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Biomedical subjects

S Lay

Publications and source records attributed to S Lay.

8 recordsLinked to original sources

Immunopotentiation of the antibody response against influenza HA with apoptotic bodies generated by rabies virus G-ERA protein-driven apoptosis.

Apoptosis is considered to be a way of eliminating unwanted cells without causing major inflammation. Nevertheless, several lines of evidence show that apoptotic cell-derived antigens can be strong immunogens. The rabies virus glycoprotein G-ERA is an apoptotic molecule. We tested the ability of G-ERA to potentiate a B cell response against an exogenous antigen (influenza hemagglutinin, HA). We found that co-expression of G-ERA and HA in apoptotic bodies increased both the primary and memory HA-specific immune responses. The immunopotentiation of G-ERA is apoptosis-mediated but not necrosis-mediated. Our data indicate that G-ERA-mediated apoptosis might be useful to improve the immunogenicity of live vaccines.

Adjuvants, Immunologic↗

Frequent infection of Hylobates pileatus (pileated gibbon) with species-associated variants of hepatitis B virus in Cambodia.

As well as being distributed widely in human populations, hepatitis B virus (HBV) infections occur frequently in chimpanzee, gibbon and other ape populations in sub-Saharan Africa and South-East Asia. To investigate the frequency and genetic relationships of HBV infecting gibbons in Cambodia, pileated gibbons (Hylobates pileatus) that were originally wild-caught were screened for surface antigen. Twelve of 26 (46 %) were positive, of which 11 were positive for HBV DNA. Phylogenetic analysis of complete genome sequences revealed two distinct genetic groups in the gibbon/orangutan clade. Three were similar to previously described variants infecting H. pileatus in Thailand and eight formed a distinct clade, potentially representing distinct strains of HBV circulating in geographically separated populations in South-East Asia. Because of the ability of HBV to cross species barriers, large reservoirs of infection in gibbons may hamper ongoing attempts at permanent eradication of HBV infection from human populations in South-East Asia through immunization.

Animals↗

Computer-based analysis of the binding steps in protein complex formation.

Computer models were used to examine whether and under what conditions the multimeric protein complex is inhibited by high concentrations of one of its components-an effect analogous to the prozone phenomenon in precipitin tests. A series of idealized simple "ball-and-stick" structures representing small oligomeric complexes of protein molecules formed by reversible binding reactions were analyzed to determine the binding steps leading to each structure. The equilibrium state of each system was then determined over a range of starting concentrations and Kds and the steady-state concentration of structurally complete oligomer calculated for each situation. A strong inhibitory effect at high concentrations was shown by any protein molecule forming a bridge between two or more separable parts of the complex. By contrast, proteins linked to the outside of the complex by a single bond showed no inhibition whatsoever at any concentration. Nonbridging, multivalent proteins in the body of the complex could show an inhibitory effect or not depending on the structure of the complex and the strength of its bonds. On the basis of this study, we suggest that the prozone phenomenon will occur widely in living cells and that it could be a crucial factor in the regulation of protein complex formation.

Antigen-Antibody Reactions↗

A computer program for the analysis of protein complex formation.

MOTIVATION: We needed an efficient way to explore the binding reactions leading to protein complexes of known composition and structure. RESULTS: A new program is described that allows the user to define a set of protein elements and to link these elements into an oligomeric 'ball-and-stick' assembly in a graphical interface. Once the structure of the oligomer has been defined, the program then employs a novel algorithm to deduce the binding reactions and intermediate complexes needed to make the oligomer from its starting protein components. The program also finds the equilibrium state of the system, using either default starting concentrations and Kd values or data supplied by the user.

Algorithms↗

Computer simulated evolution of a network of cell-signaling molecules.

We have trained a computer model of a simple cell-signaling pathway to give specified responses to a pulse of an extracellular ligand. The pathway consists of two initially identical membrane receptors, each of which relays the concentration of the ligand to the level of phosphorylation of an intracellular molecule. Application of random "mutational" changes to the rate constants of the pathway, followed by selection in favor of certain outputs, generates a variety of wave forms and dose-response curves. The phenotypic effect of mutations and the frequency of selection both affect the efficiency with which the pathway achieves its target. When the pathway is trained to give a maximal response at a specific concentration of the stimulating ligand, it gives a consistent pattern of changes in which the two receptors diverge, producing a high-affinity form with excitatory output and a low-affinity form with inhibitory output. We suggest that some high- and low-affinity forms of receptors found in present-day cells might have originated by a similar process.

Algorithms↗

Rapid numerical integration algorithm for finding the equilibrium state of a system of coupled binding reactions.

We have adapted a simple method of numerical integration to predict the equilibrium state of a population of components undergoing reversible association according to the Law of Mass Action. Its particular application is to populations of protein molecules in aqueous solution. The method is based on Euler integration but employs an adaptive step size: the time increment being reduced if it would make the concentration of any component negative and increased while the concentration of any component changes at greater than a specified rate. Parameters of the algorithm have been optimized empirically using a model set of binding equilibria with dissociation constants ranging from 10(-5) M to 10(-9) M. The method obtains the solution to a set of binding equilibria more rapidly than the conventional initial value methods (simple Euler, 4th order Runge-Kutta and variable-step Runge-Kutta methods were tested) for the same accuracy. A computer code in standard C is presented.

Algorithms↗