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An Integrated Multi-omic Single-Cell Atlas of Human B Cell Identity.

Immunity | 2020

B cells are capable of a wide range of effector functions including antibody secretion, antigen presentation, cytokine production, and generation of immunological memory. A consistent strategy for classifying human B cells by using surface molecules is essential to harness this functional diversity for clinical translation. We developed a highly multiplexed screen to quantify the co-expression of 351 surface molecules on millions of human B cells. We identified differentially expressed molecules and aligned their variance with isotype usage, VDJ sequence, metabolic profile, biosynthesis activity, and signaling response. Based on these analyses, we propose a classification scheme to segregate B cells from four lymphoid tissues into twelve unique subsets, including a CD45RB+CD27- early memory population, a class-switched CD39+ tonsil-resident population, and a CD19hiCD11c+ memory population that potently responds to immune activation. This classification framework and underlying datasets provide a resource for further investigations of human B cell identity and function.

Pubmed ID: 32668225 RIS Download

Associated grants

  • Agency: NIAID NIH HHS, United States
    Id: T32 AI007290
  • Agency: NIAID NIH HHS, United States
    Id: U19 AI057229
  • Agency: NIGMS NIH HHS, United States
    Id: T32 GM007276
  • Agency: NIAID NIH HHS, United States
    Id: U19 AI116484
  • Agency: NCI NIH HHS, United States
    Id: U24 CA224309
  • Agency: NIA NIH HHS, United States
    Id: R01 AG056287
  • Agency: NIA NIH HHS, United States
    Id: R01 AG057915
  • Agency: NIA NIH HHS, United States
    Id: U19 AG065156
  • Agency: NIGMS NIH HHS, United States
    Id: R00 GM104148
  • Agency: NIBIB NIH HHS, United States
    Id: DP2 EB024246
  • Agency: NCI NIH HHS, United States
    Id: UH3 CA246633
  • Agency: NIAID NIH HHS, United States
    Id: R01 AI035947

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