title: Standardized Multi-Color Flow Cytometry and Computational Biomarker Discovery.
abstract: Multi-color flow cytometry has become a valuable and highly informative tool for diagnosis and therapeutic monitoring of patients with immune deficiencies or inflammatory disorders. However, the method complexity and error-prone conventional manual data analysis often result in a high variability between different analysts and research laboratories. Here, we provide strategies and guidelines aiming at a more standardized multi-color flow cytometric staining and unsupervised data analysis for whole blood patient samples.
authors.affiliation: Institute of Medical Immunology, Charité University Medicine, Berlin, 10117, Germany.
authors.forename: Stephan
authors.initials: S
authors.lastname: Schlickeiser
authors.affiliation: Institute of Medical Immunology, Charité University Medicine, Berlin, 10117, Germany.
authors.forename: Mathias
authors.initials: M
authors.lastname: Streitz
authors.affiliation: Institute of Medical Immunology, Charité University Medicine, Berlin, 10117, Germany. birgit.sawitzki@charite.de.
authors.forename: Birgit
authors.initials: B
authors.lastname: Sawitzki
mesh_terms: D015415:Biomarkers / Q000378:metabolism*; D019295:Computational Biology / Q000379:methods* / Q000592:standards; D005434:Flow Cytometry / Q000379:methods* / Q000592:standards; D006801:Humans; D007107:Immune System / Q000166:cytology* / Q000502:physiology*; D016130:Immunophenotyping / Q000379:methods* / Q000592:standards; D007962:Leukocytes / Q000276:immunology / Q000378:metabolism
chemical_list: D015415:Biomarkers
keywords: Data analysis; Flow cytometry; Immune monitoring; Standardization