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Microarrays for Pathogen Detection and Analysis

DNA microarrays have emerged as a viable platform for detection of pathogenic organisms in clinical and environmental samples. These microbial detection arrays occupy a middle ground between low cost, narrowly focused assays such as multiplex PCR and more expensive, broad-spectrum technologies like...

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Detalles Bibliográficos
Autor principal: McLoughlin, Kevin S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245552/
https://www.ncbi.nlm.nih.gov/pubmed/21930658
http://dx.doi.org/10.1093/bfgp/elr027
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author McLoughlin, Kevin S.
author_facet McLoughlin, Kevin S.
author_sort McLoughlin, Kevin S.
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description DNA microarrays have emerged as a viable platform for detection of pathogenic organisms in clinical and environmental samples. These microbial detection arrays occupy a middle ground between low cost, narrowly focused assays such as multiplex PCR and more expensive, broad-spectrum technologies like high-throughput sequencing. While pathogen detection arrays have been used primarily in a research context, several groups are aggressively working to develop arrays for clinical diagnostics, food safety testing, environmental monitoring and biodefense. Statistical algorithms that can analyze data from microbial detection arrays and provide easily interpretable results are absolutely required in order for these efforts to succeed. In this article, we will review the most promising array designs and analysis algorithms that have been developed to date, comparing their strengths and weaknesses for pathogen detection and discovery.
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spelling pubmed-32455522012-11-01 Microarrays for Pathogen Detection and Analysis McLoughlin, Kevin S. Brief Funct Genomics Papers DNA microarrays have emerged as a viable platform for detection of pathogenic organisms in clinical and environmental samples. These microbial detection arrays occupy a middle ground between low cost, narrowly focused assays such as multiplex PCR and more expensive, broad-spectrum technologies like high-throughput sequencing. While pathogen detection arrays have been used primarily in a research context, several groups are aggressively working to develop arrays for clinical diagnostics, food safety testing, environmental monitoring and biodefense. Statistical algorithms that can analyze data from microbial detection arrays and provide easily interpretable results are absolutely required in order for these efforts to succeed. In this article, we will review the most promising array designs and analysis algorithms that have been developed to date, comparing their strengths and weaknesses for pathogen detection and discovery. Oxford University Press 2011-11 2011-09-19 /pmc/articles/PMC3245552/ /pubmed/21930658 http://dx.doi.org/10.1093/bfgp/elr027 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Papers
McLoughlin, Kevin S.
Microarrays for Pathogen Detection and Analysis
title Microarrays for Pathogen Detection and Analysis
title_full Microarrays for Pathogen Detection and Analysis
title_fullStr Microarrays for Pathogen Detection and Analysis
title_full_unstemmed Microarrays for Pathogen Detection and Analysis
title_short Microarrays for Pathogen Detection and Analysis
title_sort microarrays for pathogen detection and analysis
topic Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245552/
https://www.ncbi.nlm.nih.gov/pubmed/21930658
http://dx.doi.org/10.1093/bfgp/elr027
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