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Differential transcriptome and development of human peripheral plasma cell subsets
Swetha Garimalla, … , Iñaki Sanz, F. Eun-Hyung Lee
Swetha Garimalla, … , Iñaki Sanz, F. Eun-Hyung Lee
Published April 2, 2019
Citation Information: JCI Insight. 2019;4(9):e126732. https://doi.org/10.1172/jci.insight.126732.
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Research Article Immunology

Differential transcriptome and development of human peripheral plasma cell subsets

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Abstract

Human antibody-secreting cells (ASCs) triggered by immunization are globally recognized as CD19loCD38hiCD27hi. Yet, different vaccines give rise to antibody responses of different longevity, suggesting ASC populations are heterogeneous. We define circulating-ASC heterogeneity in vaccine responses using multicolor flow cytometry, morphology, VH repertoire, and RNA transcriptome analysis. We also tested differential survival using a human cell-free system that mimics the bone marrow (BM) microniche. In peripheral blood, we identified 3 CD19+ and 2 CD19– ASC subsets. All subsets contributed to the vaccine-specific responses and were characterized by in vivo proliferation and activation. The VH repertoire demonstrated strong oligoclonality with extensive interconnectivity among the 5 subsets and switched memory B cells. Transcriptome analysis showed separation of CD19+ and CD19– subsets that included pathways such as cell cycle, hypoxia, TNF-α, and unfolded protein response. They also demonstrated similar long-term in vitro survival after 48 days. In summary, vaccine-induced ASCs with different surface markers (CD19 and CD138) are derived from shared proliferative precursors yet express distinctive transcriptomes. Equal survival indicates that all ASC compartments are endowed with long-lived potential. Accordingly, in vivo survival of peripheral long-lived plasma cells may be determined in part by their homing and residence in the BM microniche.

Authors

Swetha Garimalla, Doan C. Nguyen, Jessica L. Halliley, Christopher Tipton, Alexander F. Rosenberg, Christopher F. Fucile, Celia L. Saney, Shuya Kyu, Denise Kaminski, Yu Qian, Richard H. Scheuermann, Greg Gibson, Iñaki Sanz, F. Eun-Hyung Lee

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Figure 4

Next-generation sequencing (NGS) repertoire sequencing of blood ASC subsets.

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Next-generation sequencing (NGS) repertoire sequencing of blood ASC subs...
NGS was used to analyze the clonal repertoire of the ASC populations, naive B cells, and isotype-switched memory B cells. (A) Diversity of the repertoire is shown by plotting lineage (clone) size versus the cumulative percentage of sequences determined from size-ranked clones. Largest clones are found at the top of the plot and account for a greater area within the subdivided plots. More diverse repertoires, such as the naive population here, only contain small clones in a more even representation. (B) Hill diversity profiles for each population (with different levels of sampling) demonstrate the overall diversity of the repertoire in each of the ASC populations. (C) Relative quantities of IgM, IgG, and IgA sequences in each subset. Naive is predominantly IgM. Blood ASC subsets 1 to 5 and switched memory B cells show mostly IgG and IgA. (D) Circos plot shows interconnectedness of the ASC populations by plotting the sequences from each population in clonal size–ranked order, with the largest clones being in the most clockwise portion of each population segment. The outer-most track shows the isotype makeup of each clone by color. The next track in shows mutation frequency of each sequence, with more mutations represented as more distal from the center of the plot. The next track in shows the number of sequences, followed by the clonality displayed by a circular stacked bar plot. Here, only the largest 50% of the clones are colored to avoid blurring of small clones. The internal connections show clones found in multiple populations. (E) Stacked bar plots again demonstrate the diversity of the repertoire by showing size-ranked clones as segments taking up a percentage of the total repertoire. The largest 10 clones of all populations are colored and like-colors demonstrate the same clone in multiple populations. (F) The Morisita overlap index demonstrates the similarity of repertoires in various populations as a value from 0 (no similarity) to 1 (identical repertoires). The color strength is indicative of interconnectivity.

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