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Systematic reference sample generation for multiplexed serological assays

Quality controls of serological assays have to contain defined amounts of human antibodies specific for the targeted antigen. A prevailing issue for array-based antigen assays is that dozens of antigens are targeted within the same assay. Commonly different patient sera are combined and optimal pool...

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Autores principales: Planatscher, Hannes, Rimmele, Stefanie, Michel, Gerd, Pötz, Oliver, Joos, Thomas, Schneiderhan-Marra, Nicole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3832875/
https://www.ncbi.nlm.nih.gov/pubmed/24247282
http://dx.doi.org/10.1038/srep03259
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author Planatscher, Hannes
Rimmele, Stefanie
Michel, Gerd
Pötz, Oliver
Joos, Thomas
Schneiderhan-Marra, Nicole
author_facet Planatscher, Hannes
Rimmele, Stefanie
Michel, Gerd
Pötz, Oliver
Joos, Thomas
Schneiderhan-Marra, Nicole
author_sort Planatscher, Hannes
collection PubMed
description Quality controls of serological assays have to contain defined amounts of human antibodies specific for the targeted antigen. A prevailing issue for array-based antigen assays is that dozens of antigens are targeted within the same assay. Commonly different patient sera are combined and optimal pools are empirically identified. Here, we report a mathematical approach how an optimal sample pool composition can be systematically calculated and accurately compiled. The approach was used to compose suitable quality controls for a 71 plex Tuberculosis antigen bead array using a limited number of positive human sera.
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spelling pubmed-38328752013-11-19 Systematic reference sample generation for multiplexed serological assays Planatscher, Hannes Rimmele, Stefanie Michel, Gerd Pötz, Oliver Joos, Thomas Schneiderhan-Marra, Nicole Sci Rep Article Quality controls of serological assays have to contain defined amounts of human antibodies specific for the targeted antigen. A prevailing issue for array-based antigen assays is that dozens of antigens are targeted within the same assay. Commonly different patient sera are combined and optimal pools are empirically identified. Here, we report a mathematical approach how an optimal sample pool composition can be systematically calculated and accurately compiled. The approach was used to compose suitable quality controls for a 71 plex Tuberculosis antigen bead array using a limited number of positive human sera. Nature Publishing Group 2013-11-19 /pmc/articles/PMC3832875/ /pubmed/24247282 http://dx.doi.org/10.1038/srep03259 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareALike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
spellingShingle Article
Planatscher, Hannes
Rimmele, Stefanie
Michel, Gerd
Pötz, Oliver
Joos, Thomas
Schneiderhan-Marra, Nicole
Systematic reference sample generation for multiplexed serological assays
title Systematic reference sample generation for multiplexed serological assays
title_full Systematic reference sample generation for multiplexed serological assays
title_fullStr Systematic reference sample generation for multiplexed serological assays
title_full_unstemmed Systematic reference sample generation for multiplexed serological assays
title_short Systematic reference sample generation for multiplexed serological assays
title_sort systematic reference sample generation for multiplexed serological assays
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3832875/
https://www.ncbi.nlm.nih.gov/pubmed/24247282
http://dx.doi.org/10.1038/srep03259
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