| Literature DB >> 31758746 |
Charles Bruce Bagwell1, Benjamin Hunsberger1, Beth Hill1, Donald Herbert1, Christopher Bray1, Thirumahal Selvanantham2, Stephen Li2, Jose C Villasboas3, Kevin Pavelko3, Michael Strausbauch3, Adeeb Rahman4, Gregory Kelly4, Shahab Asgharzadeh5, Azucena Gomez-Cabrero5, Gregory Behbehani6, Hsiaochi Chang6, Justin Lyberger6, Ruth Montgomery7, Yujiao Zhao7, Margaret Inokuma1, Ofir Goldberger8, Greg Stelzer8.
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.Entities:
Keywords: cytometry automation; cytometry standardization; kits; percentage precision
Mesh:
Year: 2019 PMID: 31758746 PMCID: PMC7543682 DOI: 10.1002/cyto.b.21858
Source DB: PubMed Journal: Cytometry B Clin Cytom ISSN: 1552-4949 Impact factor: 3.058