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Variance in multiplex suspension array assays: A distribution generation machine for multiplex counts

BACKGROUND: This study attempted to replicate Luminex experimental results for large numbers of beads per classifier using multiplexed assays and routine instrument use conditions. CONCLUSION: Using larger numbers of microspheres per classifier highlights a fundamental stochastic distribution of bea...

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Detalles Bibliográficos
Autor principal: Hanley, Brian P
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2267777/
https://www.ncbi.nlm.nih.gov/pubmed/18226252
http://dx.doi.org/10.1186/1742-4682-5-3
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author Hanley, Brian P
author_facet Hanley, Brian P
author_sort Hanley, Brian P
collection PubMed
description BACKGROUND: This study attempted to replicate Luminex experimental results for large numbers of beads per classifier using multiplexed assays and routine instrument use conditions. CONCLUSION: Using larger numbers of microspheres per classifier highlights a fundamental stochastic distribution of bead counts issue complicated by other factors. The more classifiers and the higher the count required per classifier there are, the more apparent the distribution of counts per classifier will be, and the more microspheres are required. Additional problems have been identified. Alternate methods of improving precision and reliability are recommended such as intraplexing and multi-well sample replicates to improve precision and confidence.
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spelling pubmed-22677772008-03-17 Variance in multiplex suspension array assays: A distribution generation machine for multiplex counts Hanley, Brian P Theor Biol Med Model Research BACKGROUND: This study attempted to replicate Luminex experimental results for large numbers of beads per classifier using multiplexed assays and routine instrument use conditions. CONCLUSION: Using larger numbers of microspheres per classifier highlights a fundamental stochastic distribution of bead counts issue complicated by other factors. The more classifiers and the higher the count required per classifier there are, the more apparent the distribution of counts per classifier will be, and the more microspheres are required. Additional problems have been identified. Alternate methods of improving precision and reliability are recommended such as intraplexing and multi-well sample replicates to improve precision and confidence. BioMed Central 2008-01-28 /pmc/articles/PMC2267777/ /pubmed/18226252 http://dx.doi.org/10.1186/1742-4682-5-3 Text en Copyright © 2008 Hanley; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Hanley, Brian P
Variance in multiplex suspension array assays: A distribution generation machine for multiplex counts
title Variance in multiplex suspension array assays: A distribution generation machine for multiplex counts
title_full Variance in multiplex suspension array assays: A distribution generation machine for multiplex counts
title_fullStr Variance in multiplex suspension array assays: A distribution generation machine for multiplex counts
title_full_unstemmed Variance in multiplex suspension array assays: A distribution generation machine for multiplex counts
title_short Variance in multiplex suspension array assays: A distribution generation machine for multiplex counts
title_sort variance in multiplex suspension array assays: a distribution generation machine for multiplex counts
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2267777/
https://www.ncbi.nlm.nih.gov/pubmed/18226252
http://dx.doi.org/10.1186/1742-4682-5-3
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