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Heterogeneity of germinal center B cells: New insights from single-cell studies

Journal

EUROPEAN JOURNAL OF IMMUNOLOGY
Volume 51, Issue 11, Pages 2555-2567

Publisher

WILEY
DOI: 10.1002/eji.202149235

Keywords

germinal center B cells; mathematical modeling; molecular heterogeneity; lymphoma; single-cell genomics

Categories

Funding

  1. ANR [ANR-17-CE15-0009-01]
  2. Inserm ITMO Cancer [ASC19008ASA, ASC19042ASA]
  3. INSERM
  4. CNRS
  5. Aix-Marseille University
  6. French Ministry of Research and Higher Education
  7. Agence Nationale de la Recherche (ANR) [ANR-17-CE15-0009] Funding Source: Agence Nationale de la Recherche (ANR)

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Recent studies on GC B-cell heterogeneity using single-cell technologies have challenged the two-state DZ-LZ paradigm, revealing the cellular and molecular heterogeneity of GC B cells, including different cell states and potential cell fates.
Upon antigen exposure, activated B cells in antigen-draining lymphoid organs form microanatomical structures, called germinal centers (GCs), where affinity maturation occurs. Within the GC microenvironment, GC B cells undergo proliferation and B cell receptor (BCR) genes somatic hypermutation in the dark zone (DZ), and affinity-based selection in the light zone (LZ). In the current paradigm of GC dynamics, high-affinity LZ B cells may be selected by cognate T- follicular helper cells to either differentiate into plasma cells or memory B cells, or re-enter the DZ and initiate a new round of proliferation and BCR diversification, before migrating back to the LZ. Given the diversity of cell states and potential cell fates that GC B cells may adopt, the two-state DZ-LZ paradigm has been challenged by studies that explored GC B-cell heterogeneity with a variety of single-cell technologies. Here, we review studies and single-cell technologies which have allowed to refine the working model of GC B-cell cellular and molecular heterogeneity during affinity maturation. This review also covers the use of single-cell quantitative data for mathematical modeling of GC reactions, and the application of single-cell genomics to the study of GC-derived malignancies.

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