title: Single-cell network profiling of peripheral blood mononuclear cells from healthy donors reveals age- and race-associated differences in immune signaling pathway activation.
abstract: A greater understanding of the function of the human immune system at the single-cell level in healthy individuals is critical for discerning aberrant cellular behavior that occurs in settings such as autoimmunity, immunosenescence, and cancer. To achieve this goal, a systems-level approach capable of capturing the response of the interdependent immune cell types to external stimuli is required. In this study, an extensive characterization of signaling responses in multiple immune cell subpopulations within PBMCs from a cohort of 60 healthy donors was performed using single-cell network profiling (SCNP). SCNP is a multiparametric flow cytometry-based approach that enables the simultaneous measurement of basal and evoked signaling in multiple cell subsets within heterogeneous populations. In addition to establishing the interindividual degree of variation within a broad panel of immune signaling responses, the possible association of any observed variation with demographic variables including age and race was investigated. Using half of the donors as a training set, multiple age- and race-associated variations in signaling responses in discrete cell subsets were identified, and several were subsequently confirmed in the remaining samples (test set). Such associations may provide insight into age-related immune alterations associated with high infection rates and diminished protection following vaccination and into the basis for ethnic differences in autoimmune disease incidence and treatment response. SCNP allowed for the generation of a functional map of healthy immune cell signaling responses that can provide clinically relevant information regarding both the mechanisms underlying immune pathological conditions and the selection and effect of therapeutics.
authors.affiliation: Nodality, South San Francisco, CA 94080, USA. diane.longo@nodality.com
authors.forename: Diane M
authors.initials: DM
authors.lastname: Longo
authors.forename: Brent
authors.initials: B
authors.lastname: Louie
authors.forename: Santosh
authors.initials: S
authors.lastname: Putta
authors.forename: Erik
authors.initials: E
authors.lastname: Evensen
authors.forename: Jason
authors.initials: J
authors.lastname: Ptacek
authors.forename: James
authors.initials: J
authors.lastname: Cordeiro
authors.forename: Ena
authors.initials: E
authors.lastname: Wang
authors.forename: Zoltan
authors.initials: Z
authors.lastname: Pos
authors.forename: Rachael E
authors.initials: RE
authors.lastname: Hawtin
authors.forename: Francesco M
authors.initials: FM
authors.lastname: Marincola
authors.forename: Alessandra
authors.initials: A
authors.lastname: Cesano
mesh_terms: D000328:Adult; D001741:Black or African American; D000368:Aged; D000375:Aging / Q000276:immunology*; D001327:Autoimmune Diseases / Q000276:immunology; D002478:Cells, Cultured; D015331:Cohort Studies; D016207:Cytokines / Q000096:biosynthesis; D005260:Female; D005434:Flow Cytometry / Q000379:methods; D006801:Humans; D007107:Immune System / Q000276:immunology / Q000378:metabolism*; D007111:Immunity, Cellular; D007963:Leukocytes, Mononuclear / Q000276:immunology*; D008297:Male; D008875:Middle Aged; D015398:Signal Transduction; D059010:Single-Cell Analysis / Q000379:methods*; D013601:T-Lymphocytes / Q000276:immunology; D044465:White People
chemical_list: D016207:Cytokines