Spec-seq unveils transcriptional subpopulations of antibody-secreting cells following influenza vaccination

Spec-seq揭示了流感疫苗接种后抗体分泌细胞的转录亚群

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作者:Karlynn E Neu ,Jenna J Guthmiller ,Min Huang ,Jennifer La ,Marcos C Vieira ,Kangchon Kim ,Nai-Ying Zheng ,Mario Cortese ,Micah E Tepora ,Natalie J Hamel ,Karla Thatcher Rojas ,Carole Henry ,Dustin Shaw ,Charles L Dulberger ,Bali Pulendran ,Sarah Cobey ,Aly A Khan ,Patrick C Wilson

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.

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