| Literature DB >> 30457979 |
Karlynn E Neu1,2, Jenna J Guthmiller2, Min Huang2, Jennifer La3, Marcos C Vieira4, Kangchon Kim4, Nai-Ying Zheng2, Mario Cortese5, Micah E Tepora1, Natalie J Hamel1, Karla Thatcher Rojas2, Carole Henry2, Dustin Shaw1,2, Charles L Dulberger6, Bali Pulendran5, Sarah Cobey4, Aly A Khan7, Patrick C Wilson1,2.
Abstract
Vaccines are among the most effective public health tools for combating certain infectious diseases such as influenza. The role of the humoral immune system in vaccine-induced protection is widely appreciated; however, our understanding of how antibody specificities relate to B cell function remains limited due to the complexity of polyclonal antibody responses. To address this, we developed the Spec-seq framework, which allows for simultaneous monoclonal antibody (mAb) characterization and transcriptional profiling from the same single cell. Here, we present the first application of the Spec-seq framework, which we applied to human plasmablasts after influenza vaccination in order to characterize transcriptional differences governed by B cell receptor (BCR) isotype and vaccine reactivity. Our analysis did not find evidence of long-term transcriptional specialization between plasmablasts of different isotypes. However, we did find enhanced transcriptional similarity between clonally related B cells, as well as distinct transcriptional signatures ascribed by BCR vaccine recognition. These data suggest IgG and IgA vaccine-positive plasmablasts are largely similar, whereas IgA vaccine-negative cells appear to be transcriptionally distinct from conventional, terminally differentiated, antigen-induced peripheral blood plasmablasts.Entities:
Keywords: Adaptive immunity; B cells; Immunology; Influenza; Vaccines
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Year: 2018 PMID: 30457979 PMCID: PMC6307935 DOI: 10.1172/JCI121341
Source DB: PubMed Journal: J Clin Invest ISSN: 0021-9738 Impact factor: 14.808