Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium.

TitleStandardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium.
Publication TypeJournal Article
Year of Publication2016
AuthorsFinak G, Langweiler M, Jaimes M, Malek M, Taghiyar J, Korin Y, Raddassi K, Devine L, Obermoser G, Pekalski ML, Pontikos N, Diaz A, Heck S, Villanova F, Terrazzini N, Kern F, Qian Y, Stanton R, Wang K, Brandes A, Ramey J, Aghaeepour N, Mosmann T, Scheuermann RH, Reed E, Palucka K, Pascual V, Blomberg BB, Nestle F, Nussenblatt RB, Brinkman RRemy, Gottardo R, Maecker H, J McCoy P
JournalSci Rep
Volume6
Pagination20686
Date Published2016 Feb 10
ISSN2045-2322
KeywordsAlgorithms, Automation, B-Lymphocytes, Flow Cytometry, Humans, Immunophenotyping, Laboratories, Leukocytes, Mononuclear, T-Lymphocytes
Abstract

Standardization of immunophenotyping requires careful attention to reagents, sample handling, instrument setup, and data analysis, and is essential for successful cross-study and cross-center comparison of data. Experts developed five standardized, eight-color panels for identification of major immune cell subsets in peripheral blood. These were produced as pre-configured, lyophilized, reagents in 96-well plates. We present the results of a coordinated analysis of samples across nine laboratories using these panels with standardized operating procedures (SOPs). Manual gating was performed by each site and by a central site. Automated gating algorithms were developed and tested by the FlowCAP consortium. Centralized manual gating can reduce cross-center variability, and we sought to determine whether automated methods could streamline and standardize the analysis. Within-site variability was low in all experiments, but cross-site variability was lower when central analysis was performed in comparison with site-specific analysis. It was also lower for clearly defined cell subsets than those based on dim markers and for rare populations. Automated gating was able to match the performance of central manual analysis for all tested panels, exhibiting little to no bias and comparable variability. Standardized staining, data collection, and automated gating can increase power, reduce variability, and streamline analysis for immunophenotyping.

DOI10.1038/srep20686
Custom 1

https://www.ncbi.nlm.nih.gov/pubmed/26861911?dopt=Abstract

Alternate JournalSci Rep
PubMed ID26861911
PubMed Central IDPMC4748244
Grant List100140 / / Wellcome Trust / United Kingdom
5U19AI090019 / AI / NIAID NIH HHS / United States
U19 AI089986 / AI / NIAID NIH HHS / United States
U19 AI090019 / AI / NIAID NIH HHS / United States
/ / Intramural NIH HHS / United States
R01 EB008400 / EB / NIBIB NIH HHS / United States

Weill Cornell Medicine Gale and Ira Drukier Institute for Children's Health 413 E. 69th Street New York, NY 10021