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

Authors
  • Glass, David R.1, 2
  • Tsai, Albert G.2
  • Oliveria, John Paul2, 3
  • Hartmann, Felix J.2
  • Kimmey, Samuel C.2, 4
  • Calderon, Ariel A.1, 2
  • Borges, Luciene2
  • Glass, Marla C.5
  • Wagar, Lisa E.6
  • Davis, Mark M.6
  • Bendall, Sean C.1, 2
  • 1 Immunology Graduate Program, Stanford University, Stanford, CA, 94305, USA
  • 2 Department of Pathology, Stanford University, Stanford, CA, 94305, USA
  • 3 Department of Medicine, Division of Respirology, McMaster University, Hamilton, ON, L8S4K1, Canada
  • 4 Department of Developmental Biology, Stanford University, Stanford CA, 94305, USA
  • 5 Department of Surgery, Stanford University, Stanford CA, 94305, USA
  • 6 Department of Microbiology and Immunology, Stanford University, Stanford CA, 94305, USA
Type
Published Article
Journal
Immunity
Publication Date
Jul 14, 2020
Volume
53
Issue
1
Pages
217–232
Identifiers
DOI: 10.1016/j.immuni.2020.06.013
PMID: 32668225
PMCID: PMC7369630
Source
PubMed Central
Keywords
Disciplines
  • Article
License
Unknown

Abstract

To identify molecules that distinguish functionally distinct subsets of human B cells, Glass et al. screened the expression of 351 surface molecules by mass cytometry. By combining identified molecules with functional readouts, they propose a new classification scheme to segregate B cells from four lymphoid tissues into twelve unique subsets.

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