title: Single-cell network profiling (SCNP) by flow cytometry in autoimmune disease.
abstract: Autoimmune diseases are complex and heterogeneous in nature and show varying responses to therapeutic treatment. A more accurate biological characterization of individual patients would assist in disease classification, prognosis, and treatment decisions. This characterization ideally would incorporate cellular, biochemical, and molecular information that contribute to the inflammatory state. The advent of single-cell network profiling (SCNP) using phospho-flow multiparametric flow cytometry allows insight into the complexity of signaling networks in various cell types. Here, we describe the potential of SCNP to inform on the biological characterization of autoimmune disease, the application in clinical medicine, and the utility in drug development.
authors.affiliation: Nodality, Inc., 201 Gateway Boulevard, South San Francisco, CA 94080, USA. todd.covey@nodality.com
authors.forename: Todd M
authors.initials: TM
authors.lastname: Covey
authors.forename: Alessandra
authors.initials: A
authors.lastname: Cesano
authors.forename: David R
authors.initials: DR
authors.lastname: Parkinson
mesh_terms: D000818:Animals; D001327:Autoimmune Diseases / Q000276:immunology* / Q000473:pathology*; D002469:Cell Separation / Q000379:methods*; D005434:Flow Cytometry / Q000379:methods*; D006801:Humans; D015398:Signal Transduction / Q000276:immunology*