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

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Date
2019-01
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
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(11 total)
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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.
Type
Journal article
Subject
Leukocytes, Mononuclear
Lymphocyte Subsets
Humans
Flow Cytometry
Cell Separation
Age Factors
Immunity, Cellular
Reference Values
Adolescent
Adult
Aged
Middle Aged
Continental Population Groups
Female
Male
Young Adult
Healthy Volunteers
Permalink
https://hdl.handle.net/10161/21778
Published Version (Please cite this version)
10.1371/journal.pone.0225512
Publication Info
Yi, John S; Rosa-Bray, Marilyn; Staats, Janet; Zakroysky, Pearl; Chan, Cliburn; Russo, Melissa A; ... Guptill, Jeffrey T (2019). Establishment of normative ranges of the healthy human immune system with comprehensive polychromatic flow cytometry profiling. PloS one, 14(12). pp. e0225512. 10.1371/journal.pone.0225512. Retrieved from https://hdl.handle.net/10161/21778.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Chan

Chi Wei Cliburn Chan

Associate Professor of Biostatistics & Bioinformatics
Computational immunology (stochastic and spatial models and simulations, T cell signaling, immune regulation) Statistical methodology for immunological laboratory techniques (flow cytometry, CFSE analysis, receptor-ligand binding and signaling kinetics) Informatics of the immune system (reference and application ontologies, meta-programming, text mining and machine learning)
Guptill

Jeffrey Guptill

Adjunct Associate Professor in the Department of Neurology
Weinhold

Kent James Weinhold

Joseph W. and Dorothy W. Beard Distinguished Professor of Experimental Surgery
In addition to their ongoing HIV/AIDS-related research activities, the Weinhold Laboratory is focused on utilizing a comprehensive repertoire of highly standardized and formerly validated assay platforms to profile the human immune system in order to identify immunologic signatures that predict disease outcomes. These ongoing studies span a broad range of highly relevant clinical arenas, including: 1) cancer (non-small cell lung cancer, head and neck cancer, glioblastoma neof
Yi

John S Yi

Adjunct Assistant Professor in the Department of Surgery
I am an immunologist, with a focus to characterize the immune system in response to infectious and non-infectious diseases including cancer, HIV, autoimmune disease, and transplantation. My goals are to identify novel biomarkers/immune signatures that clinicians can utilize to diagnosis, predict disease outcomes, and determine patients' response to treatment. 
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