Inferring B cell specificity for vaccines using a Bayesian mixture model.

ABSTRACT:

Background

Vaccines have greatly reduced the burden of infectious disease, ranking in their impact on global health second only after clean water. Most vaccines confer protection by the production of antibodies with binding affinity for the antigen, which is the main effector function of B cells. This results in short term changes in the B cell receptor (BCR) repertoire when an immune response is launched, and long term changes when immunity is conferred. Analysis of antibodies in serum is usually used to evaluate vaccine response, however this is limited and therefore the investigation of the BCR repertoire provides far more detail for the analysis of vaccine response.

Results

Here, we introduce a novel Bayesian model to describe the observed distribution of BCR sequences a

SUBMITTER: Fowler A 

PROVIDER: S-EPMC7036227 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature