{"id":"doi:10.1016/j.immuni.2020.06.013","kind":"article","title":"An Integrated Multi-omic Single-Cell Atlas of Human B Cell Identity","authors":["Glass DR","Tsai AG","Oliveria JP","Hartmann FJ","Kimmey SC","Calderon AA","Borges L","Glass MC","Wagar LE","Davis MM","Bendall SC"],"author_count":11,"year":2020,"published":"2020-07-01","venue":"Immunity","cited_by":217,"doi":"10.1016/j.immuni.2020.06.013","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.immuni.2020.06.013","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.immuni.2020.06.013","updated":null,"pmid":"32668225","pmcid":"PMC7369630","openalex_id":null,"pdf_url":"https://europepmc.org/articles/PMC7369630/pdf","abstract":"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 CD11c + 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.","abstract_license":"CC-BY (article license as recorded by Europe PMC; abstract reproduced unmodified apart from markup removal)","license":"CC-BY","is_open_access":true,"retracted":false,"peer_reviewed":null,"categories":[],"details":null,"provenance":"europepmc","attribution":"Abstract of \"An Integrated Multi-omic Single-Cell Atlas of Human B Cell Identity\" by Glass DR, Tsai AG, Oliveria JP et al., https://doi.org/10.1016/j.immuni.2020.06.013, used under its Creative Commons Attribution license (CC-BY); markup removed, otherwise unmodified.","topics":[{"slug":"single-cell-spatial","name":"Single-Cell & Spatial Omics","domain_slug":"biotech"}],"cited_in_dossiers":[]}