Multi‐site reproducibility of a human immunophenotyping assay in whole blood and peripheral blood mononuclear cells preparations using CyTOF technology coupled with Maxpar Pathsetter, an automated data analysis system
- 23 November 2019
- journal article
- research article
- Published by Wiley in Cytometry Part B: Clinical Cytometry
- Vol. 98 (2) , 146-160
Abstract
High‐dimensional mass cytometry data potentially enable a comprehensive characterization of immune cells. In order to positively affect clinical trials and translational clinical research, this advanced technology needs to demonstrate a high reproducibility of results across multiple sites for both peripheral blood mononuclear cells (PBMC) and whole blood preparations. A dry 30‐marker broad immunophenotyping panel and customized automated analysis software were recently engineered and are commercially available as the Fluidigm® Maxpar® Direct™ Immune Profiling Assay™. In this study, seven sites received whole blood and six sites received PBMC samples from single donors over a 2‐week interval. Each site labeled replicate samples and acquired data on Helios™ instruments using an assay‐specific acquisition template. All acquired sample files were then automatically analyzed by Maxpar Pathsetter™ software. A cleanup step eliminated debris, dead cells, aggregates, and normalization beads. The second step automatically enumerated 37 immune cell populations and performed label intensity assessments on all 30 markers. The inter‐site reproducibility of the 37 quantified cell populations had consistent population frequencies, with an average %CV of 14.4% for whole blood and 17.7% for PBMC. The dry reagent coupled with automated data analysis is not only convenient but also provides a high degree of reproducibility within and among multiple test sites resulting in a comprehensive yet practical solution for deep immune phenotyping.Keywords
This publication has 16 references indexed in Scilit:
- Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping ConsortiumScientific Reports, 2016
- Probability state modeling theoryCytometry Part A, 2015
- Automated analysis of flow cytometric data for measuring neutrophil CD64 expression using a multi‐instrument compatible probability state modelCytometry Part B: Clinical Cytometry, 2014
- Probability state modeling of memory CD8+ T-cell differentiationJournal of Immunological Methods, 2013
- Mononuclear phagocytes and marker modulation: when CD16 disappears, CD38 takes the stageBlood, 2013
- Automated quantitation of fetomaternal hemorrhage by flow cytometry for HbF‐containing fetal red blood cells using probability state modelingInternational Journal of Laboratory Hematology, 2013
- Standardizing immunophenotyping for the Human Immunology ProjectNature Reviews Immunology, 2012
- Probability State Modeling: A New Paradigm for Cytometric Analysis2010
- Study of Cell Antigens and Intracellular DNA by Identification of Element-Containing Labels and Metallointercalators Using Inductively Coupled Plasma Mass SpectrometryAnalytical Chemistry, 2008
- Similarities and differences in CD4+ and CD8+ effector and memory T cell generationNature Immunology, 2003