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Spec-seq unveils transcriptional subpopulations of antibody-secreting cells following influenza vaccination
Karlynn E. Neu, … , Aly A. Khan, Patrick C. Wilson
Karlynn E. Neu, … , Aly A. Khan, Patrick C. Wilson
Published November 19, 2018
Citation Information: J Clin Invest. 2019;129(1):93-105. https://doi.org/10.1172/JCI121341.
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Research Article Immunology

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

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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.

Authors

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

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Figure 2

Clonal plasmablasts display increased transcriptional similarity.

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Clonal plasmablasts display increased transcriptional similarity.
(A) Cl...
(A) Clonal expansions are indicated by donor. (B) Representative clonal tree from analysis of high-throughput repertoire sequencing data. (C) Frequency of clones containing both IgG and IgA members for the 3 donors where these clonal expansions were identified. Data mean indicated with line. (D) Pearson correlation coefficients were calculated for all pairwise comparisons of unrelated B cells and between clonal B cells within the same clonal family, for both the vaccine-positive (clonal, n = 87; not clonal, n = 108) and vaccine-negative (clonal, n = 13; not clonal, n = 87) compartments after exclusion of all Ig genes. Box plots display median correlation (**P < 2 × 10–7, Welch’s 1-sided t test; Methods). (E) tSNE projection of all 3 populations (n = 295) after exclusion of Ig genes, with clonal families designated by numbers 1–29, and unrelated B cells indicated by gray zeros.

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