Establishment of normative ranges of the healthy human immune system with comprehensive polychromatic flow cytometry profiling

Existing normative flow cytometry data have several limitations including small sample sizes, incompletely described study populations, variable flow cytometry methodology, and limited depth for defining lymphocyte subpopulations. To overcome these issues, we defined high-dimensional flow cytometry...

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Published in:	PloS one Vol. 14; no. 12; p. e0225512
Main Authors:	Yi, John S., Rosa-Bray, Marilyn, Staats, Janet, Zakroysky, Pearl, Chan, Cliburn, Russo, Melissa A., Dumbauld, Chelsae, White, Scott, Gierman, Todd, Weinhold, Kent J., Guptill, Jeffrey T.
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 11.12.2019 Public Library of Science (PLoS)
Subjects:	Adolescent Adult Age Factors Aged Antigens B cells Biology and Life Sciences Cell activation Cell Separation - methods Cell Separation - standards Consortia Continental Population Groups Datasets Disease Downloading Family medical history Female Flow cytometry Flow Cytometry - methods Flow Cytometry - standards Healthy Volunteers Humans Immune system Immunity, Cellular - physiology Immunology Laboratories Laboratory tests Leukocytes (mononuclear) Leukocytes, Mononuclear - immunology Lymphocyte Subsets - immunology Lymphocytes Lymphocytes B Lymphocytes T Male Medicine Medicine and Health Sciences Methods Middle Aged People and places Peripheral blood mononuclear cells Plasma Population studies Reference Values Research and Analysis Methods Standardization Subpopulations Surgery T cells Vaccines Visualization (Computer) Web site management software Young Adult United States > US
ISSN:	1932-6203, 1932-6203
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Abstract	Existing normative flow cytometry data have several limitations including small sample sizes, incompletely described study populations, variable flow cytometry methodology, and limited depth for defining lymphocyte subpopulations. To overcome these issues, we defined high-dimensional flow cytometry reference ranges for the healthy human immune system using Human Immunology Project Consortium methodologies after carefully screening 127 subjects deemed healthy through clinical and laboratory testing. We enrolled subjects in the following age cohorts: 18-29 years, 30-39, 40-49, and 50-66 and enrolled cohorts to ensure an even gender distribution and at least 30% non-Caucasians. From peripheral blood mononuclear cells, flow cytometry reference ranges were defined for >50 immune subsets including T-cell (activation, maturation, T follicular helper and regulatory T cell), B-cell, and innate cells. We also developed a web tool for visualization of the dataset and download of raw data. This dataset provides the immunology community with a resource to compare and extract data from rigorously characterized healthy subjects across age groups, gender and race.
AbstractList	Existing normative flow cytometry data have several limitations including small sample sizes, incompletely described study populations, variable flow cytometry methodology, and limited depth for defining lymphocyte subpopulations. To overcome these issues, we defined high-dimensional flow cytometry reference ranges for the healthy human immune system using Human Immunology Project Consortium methodologies after carefully screening 127 subjects deemed healthy through clinical and laboratory testing. We enrolled subjects in the following age cohorts: 18-29 years, 30-39, 40-49, and 50-66 and enrolled cohorts to ensure an even gender distribution and at least 30% non-Caucasians. From peripheral blood mononuclear cells, flow cytometry reference ranges were defined for >50 immune subsets including T-cell (activation, maturation, T follicular helper and regulatory T cell), B-cell, and innate cells. We also developed a web tool for visualization of the dataset and download of raw data. This dataset provides the immunology community with a resource to compare and extract data from rigorously characterized healthy subjects across age groups, gender and race. Existing normative flow cytometry data have several limitations including small sample sizes, incompletely described study populations, variable flow cytometry methodology, and limited depth for defining lymphocyte subpopulations. To overcome these issues, we defined high-dimensional flow cytometry reference ranges for the healthy human immune system using Human Immunology Project Consortium methodologies after carefully screening 127 subjects deemed healthy through clinical and laboratory testing. We enrolled subjects in the following age cohorts: 18-29 years, 30-39, 40-49, and 50-66 and enrolled cohorts to ensure an even gender distribution and at least 30% non-Caucasians. From peripheral blood mononuclear cells, flow cytometry reference ranges were defined for >50 immune subsets including T-cell (activation, maturation, T follicular helper and regulatory T cell), B-cell, and innate cells. We also developed a web tool for visualization of the dataset and download of raw data. This dataset provides the immunology community with a resource to compare and extract data from rigorously characterized healthy subjects across age groups, gender and race.Existing normative flow cytometry data have several limitations including small sample sizes, incompletely described study populations, variable flow cytometry methodology, and limited depth for defining lymphocyte subpopulations. To overcome these issues, we defined high-dimensional flow cytometry reference ranges for the healthy human immune system using Human Immunology Project Consortium methodologies after carefully screening 127 subjects deemed healthy through clinical and laboratory testing. We enrolled subjects in the following age cohorts: 18-29 years, 30-39, 40-49, and 50-66 and enrolled cohorts to ensure an even gender distribution and at least 30% non-Caucasians. From peripheral blood mononuclear cells, flow cytometry reference ranges were defined for >50 immune subsets including T-cell (activation, maturation, T follicular helper and regulatory T cell), B-cell, and innate cells. We also developed a web tool for visualization of the dataset and download of raw data. This dataset provides the immunology community with a resource to compare and extract data from rigorously characterized healthy subjects across age groups, gender and race.
Audience	Academic
Author	Yi, John S. Guptill, Jeffrey T. Russo, Melissa A. Dumbauld, Chelsae Rosa-Bray, Marilyn Zakroysky, Pearl Weinhold, Kent J. Staats, Janet Chan, Cliburn White, Scott Gierman, Todd
AuthorAffiliation	4 Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, United States of America 2 Biomat USA–Grifols Plasma Operations, United States of America 3 Duke Clinical Research Institute, Durham, NC, United States of America Jackson Laboratory, UNITED STATES 5 Department of Neurology, Duke University School of Medicine, Durham, NC, United States of America 1 Department of Surgery, Duke University School of Medicine, Durham, NC, United States of America
AuthorAffiliation_xml	– name: Jackson Laboratory, UNITED STATES – name: 2 Biomat USA–Grifols Plasma Operations, United States of America – name: 5 Department of Neurology, Duke University School of Medicine, Durham, NC, United States of America – name: 4 Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, United States of America – name: 1 Department of Surgery, Duke University School of Medicine, Durham, NC, United States of America – name: 3 Duke Clinical Research Institute, Durham, NC, United States of America
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Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Competing Interests: MR-B and TG are employees of Biomat USA – Grifols Plasma Operations. JTG has received honoraria for participation in a Grifols advisory board and educational program unrelated to this project. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
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Title	Establishment of normative ranges of the healthy human immune system with comprehensive polychromatic flow cytometry profiling
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