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Effects of processing conditions on stability of immune analytes in human blood

Minimizing variability in collection and processing of human blood samples for research remains a challenge. Delaying plasma or serum isolation after phlebotomy (processing delay) can cause perturbations of numerous analytes. Thus, a comprehensive understanding of how processing delay affects major...

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Autores principales: Gottfried-Blackmore, Andres, Rubin, Samuel J. S., Bai, Lawrence, Aluko, Sheun, Yang, Yujun, Park, Walter, Habtezion, Aida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566484/
https://www.ncbi.nlm.nih.gov/pubmed/33060628
http://dx.doi.org/10.1038/s41598-020-74274-8
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author Gottfried-Blackmore, Andres
Rubin, Samuel J. S.
Bai, Lawrence
Aluko, Sheun
Yang, Yujun
Park, Walter
Habtezion, Aida
author_facet Gottfried-Blackmore, Andres
Rubin, Samuel J. S.
Bai, Lawrence
Aluko, Sheun
Yang, Yujun
Park, Walter
Habtezion, Aida
author_sort Gottfried-Blackmore, Andres
collection PubMed
description Minimizing variability in collection and processing of human blood samples for research remains a challenge. Delaying plasma or serum isolation after phlebotomy (processing delay) can cause perturbations of numerous analytes. Thus, a comprehensive understanding of how processing delay affects major endpoints used in human immunology research is necessary. Therefore, we studied how processing delay affects commonly measured cytokines and immune cell populations. We hypothesized that short-term time delays inherent to human research in serum and plasma processing impact commonly studied immunological analytes. Blood from healthy donors was subjected to processing delays commonly encountered in sample collection, and then assayed by 62-plex Luminex panel, 40-parameter mass cytometry panel, and 540,000 transcript expression microarray. Variance for immunological analytes was estimated using each individual’s baseline as a control. In general, short-term processing delay led to small changes in plasma and serum cytokines (range − 10.8 to 43.5%), markers and frequencies of peripheral blood mononuclear cell phenotypes (range 0.19 to 3.54 fold), and whole blood gene expression (stable for > 20 K genes)—with several exceptions described herein. Importantly, we built an open-access web application allowing investigators to estimate the degree of variance expected from processing delay for measurements of interest based on the data reported here.
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spelling pubmed-75664842020-10-19 Effects of processing conditions on stability of immune analytes in human blood Gottfried-Blackmore, Andres Rubin, Samuel J. S. Bai, Lawrence Aluko, Sheun Yang, Yujun Park, Walter Habtezion, Aida Sci Rep Article Minimizing variability in collection and processing of human blood samples for research remains a challenge. Delaying plasma or serum isolation after phlebotomy (processing delay) can cause perturbations of numerous analytes. Thus, a comprehensive understanding of how processing delay affects major endpoints used in human immunology research is necessary. Therefore, we studied how processing delay affects commonly measured cytokines and immune cell populations. We hypothesized that short-term time delays inherent to human research in serum and plasma processing impact commonly studied immunological analytes. Blood from healthy donors was subjected to processing delays commonly encountered in sample collection, and then assayed by 62-plex Luminex panel, 40-parameter mass cytometry panel, and 540,000 transcript expression microarray. Variance for immunological analytes was estimated using each individual’s baseline as a control. In general, short-term processing delay led to small changes in plasma and serum cytokines (range − 10.8 to 43.5%), markers and frequencies of peripheral blood mononuclear cell phenotypes (range 0.19 to 3.54 fold), and whole blood gene expression (stable for > 20 K genes)—with several exceptions described herein. Importantly, we built an open-access web application allowing investigators to estimate the degree of variance expected from processing delay for measurements of interest based on the data reported here. Nature Publishing Group UK 2020-10-15 /pmc/articles/PMC7566484/ /pubmed/33060628 http://dx.doi.org/10.1038/s41598-020-74274-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Gottfried-Blackmore, Andres
Rubin, Samuel J. S.
Bai, Lawrence
Aluko, Sheun
Yang, Yujun
Park, Walter
Habtezion, Aida
Effects of processing conditions on stability of immune analytes in human blood
title Effects of processing conditions on stability of immune analytes in human blood
title_full Effects of processing conditions on stability of immune analytes in human blood
title_fullStr Effects of processing conditions on stability of immune analytes in human blood
title_full_unstemmed Effects of processing conditions on stability of immune analytes in human blood
title_short Effects of processing conditions on stability of immune analytes in human blood
title_sort effects of processing conditions on stability of immune analytes in human blood
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566484/
https://www.ncbi.nlm.nih.gov/pubmed/33060628
http://dx.doi.org/10.1038/s41598-020-74274-8
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