Sequential infection experiments for quantifying innate and adaptive immunity during influenza infection.
Ontology highlight
ABSTRACT: Laboratory models are often used to understand the interaction of related pathogens via host immunity. For example, recent experiments where ferrets were exposed to two influenza strains within a short period of time have shown how the effects of cross-immunity vary with the time between exposures and the specific strains used. On the other hand, studies of the workings of different arms of the immune response, and their relative importance, typically use experiments involving a single infection. However, inferring the relative importance of different immune components from this type of data is challenging. Using simulations and mathematical modelling, here we investigate whether the sequential infection experiment design can be used not only to determine immune components contributing to
SUBMITTER: Yan AWC
PROVIDER: S-EPMC6353225 | biostudies-literature | 2019 Jan
REPOSITORIES: biostudies-literature
ACCESS DATA