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Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium

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 immu...

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Autores principales: Finak, Greg, Langweiler, Marc, Jaimes, Maria, Malek, Mehrnoush, Taghiyar, Jafar, Korin, Yael, Raddassi, Khadir, Devine, Lesley, Obermoser, Gerlinde, Pekalski, Marcin L., Pontikos, Nikolas, Diaz, Alain, Heck, Susanne, Villanova, Federica, Terrazzini, Nadia, Kern, Florian, Qian, Yu, Stanton, Rick, Wang, Kui, Brandes, Aaron, Ramey, John, Aghaeepour, Nima, Mosmann, Tim, Scheuermann, Richard H., Reed, Elaine, Palucka, Karolina, Pascual, Virginia, Blomberg, Bonnie B., Nestle, Frank, Nussenblatt, Robert B., Brinkman, Ryan Remy, Gottardo, Raphael, Maecker, Holden, McCoy, J Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4748244/
https://www.ncbi.nlm.nih.gov/pubmed/26861911
http://dx.doi.org/10.1038/srep20686
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author Finak, Greg
Langweiler, Marc
Jaimes, Maria
Malek, Mehrnoush
Taghiyar, Jafar
Korin, Yael
Raddassi, Khadir
Devine, Lesley
Obermoser, Gerlinde
Pekalski, Marcin L.
Pontikos, Nikolas
Diaz, Alain
Heck, Susanne
Villanova, Federica
Terrazzini, Nadia
Kern, Florian
Qian, Yu
Stanton, Rick
Wang, Kui
Brandes, Aaron
Ramey, John
Aghaeepour, Nima
Mosmann, Tim
Scheuermann, Richard H.
Reed, Elaine
Palucka, Karolina
Pascual, Virginia
Blomberg, Bonnie B.
Nestle, Frank
Nussenblatt, Robert B.
Brinkman, Ryan Remy
Gottardo, Raphael
Maecker, Holden
McCoy, J Philip
author_facet Finak, Greg
Langweiler, Marc
Jaimes, Maria
Malek, Mehrnoush
Taghiyar, Jafar
Korin, Yael
Raddassi, Khadir
Devine, Lesley
Obermoser, Gerlinde
Pekalski, Marcin L.
Pontikos, Nikolas
Diaz, Alain
Heck, Susanne
Villanova, Federica
Terrazzini, Nadia
Kern, Florian
Qian, Yu
Stanton, Rick
Wang, Kui
Brandes, Aaron
Ramey, John
Aghaeepour, Nima
Mosmann, Tim
Scheuermann, Richard H.
Reed, Elaine
Palucka, Karolina
Pascual, Virginia
Blomberg, Bonnie B.
Nestle, Frank
Nussenblatt, Robert B.
Brinkman, Ryan Remy
Gottardo, Raphael
Maecker, Holden
McCoy, J Philip
author_sort Finak, Greg
collection PubMed
description 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.
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spelling pubmed-47482442016-02-17 Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium Finak, Greg Langweiler, Marc Jaimes, Maria Malek, Mehrnoush Taghiyar, Jafar Korin, Yael Raddassi, Khadir Devine, Lesley Obermoser, Gerlinde Pekalski, Marcin L. Pontikos, Nikolas Diaz, Alain Heck, Susanne Villanova, Federica Terrazzini, Nadia Kern, Florian Qian, Yu Stanton, Rick Wang, Kui Brandes, Aaron Ramey, John Aghaeepour, Nima Mosmann, Tim Scheuermann, Richard H. Reed, Elaine Palucka, Karolina Pascual, Virginia Blomberg, Bonnie B. Nestle, Frank Nussenblatt, Robert B. Brinkman, Ryan Remy Gottardo, Raphael Maecker, Holden McCoy, J Philip Sci Rep Article 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. Nature Publishing Group 2016-02-10 /pmc/articles/PMC4748244/ /pubmed/26861911 http://dx.doi.org/10.1038/srep20686 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Finak, Greg
Langweiler, Marc
Jaimes, Maria
Malek, Mehrnoush
Taghiyar, Jafar
Korin, Yael
Raddassi, Khadir
Devine, Lesley
Obermoser, Gerlinde
Pekalski, Marcin L.
Pontikos, Nikolas
Diaz, Alain
Heck, Susanne
Villanova, Federica
Terrazzini, Nadia
Kern, Florian
Qian, Yu
Stanton, Rick
Wang, Kui
Brandes, Aaron
Ramey, John
Aghaeepour, Nima
Mosmann, Tim
Scheuermann, Richard H.
Reed, Elaine
Palucka, Karolina
Pascual, Virginia
Blomberg, Bonnie B.
Nestle, Frank
Nussenblatt, Robert B.
Brinkman, Ryan Remy
Gottardo, Raphael
Maecker, Holden
McCoy, J Philip
Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium
title Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium
title_full Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium
title_fullStr Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium
title_full_unstemmed Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium
title_short Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium
title_sort standardizing flow cytometry immunophenotyping analysis from the human immunophenotyping consortium
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4748244/
https://www.ncbi.nlm.nih.gov/pubmed/26861911
http://dx.doi.org/10.1038/srep20686
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