期刊
IMMUNITY
卷 53, 期 1, 页码 217-+出版社
CELL PRESS
DOI: 10.1016/j.immuni.2020.06.013
关键词
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类别
资金
- Stanford Graduate Fellowship
- Bio-X Stanford Interdisciplinary Graduate Fellowship
- Damon Runyon Cancer Research Foundation (DRCRF) [DRG-118-16]
- Stanford Department of Pathology Seed Grant
- Canadian Institute of Health Research Postdoctoral Fellowship
- EMBO organization (EMBO Long-Term Fellowship)
- Novartis Foundation for Medical-Biological Research
- Swiss National Science Foundation (SNF Early Postdoc Mobility)
- NIH/NIGMS Cell and Molecular Biology Training Grant [T32GM007276]
- NIAID of the National Institutes of Health [5T32AI007290-32]
- National Science Foundation Graduate Research Fellowship Program [DGE-1656518]
- Molecular and Cellular Immunology NIH Training Grant institutional postdoctoral fellowship [5 T32 AI07290]
- NIH [U01AI35947-02, 1DP2OD022550-01, 1R01AG056287-01, 1R01AG057915-01, 1-R00-GM104148-01, 1U24CA224309-01, 5U19AI116484-02, UH3 CA246633, U19 AG065156-01]
- DRCRF Fellowship [DRG-2017-09]
- Bill and Melinda Gates Foundation
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 CD19(hi)CD11(+) 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.
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