bioRxiv preprint doi: https://doi.org/10.1101/801530; this version posted October 13, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. An integrated multi-omic single cell atlas to redefine human B cell memory David R. Glass,1,2,5 Albert G. Tsai,2,5 John Paul Oliveria,2,3 Felix J. Hartmann,2 Samuel C. Kimmey,2,4 Ariel A. Calderon,1,2 Luciene Borges,2 Sean C. Bendall1,2,6,* 1Immunology Graduate Program, Stanford University, Stanford, CA, 94305, USA 2Department of Pathology, Stanford University, Stanford, CA, 94305, USA 3Department of Medicine, Division of Respirology, McMaster University, Hamilton, ON, L8S4K1, Canada 4Department of Developmental Biology, Stanford, University, Stanford CA, 94305, USA 5Co-first author 6Lead Author *Correspondence:
[email protected] bioRxiv preprint doi: https://doi.org/10.1101/801530; this version posted October 13, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. Abstract: To evaluate the impact of heterogeneous B cells in health and disease, comprehensive profiling is needed at a single cell resolution. We developed a highly- multiplexed screen to quantify the co-expression of 351 surface molecules on low numbers of primary cells. We identified dozens of differentially expressed molecules and aligned their variance with B cell isotype usage, metabolism, biosynthesis activity, and signaling response.