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An easy operating pathogen microarray (EOPM) platform for rapid screening of vertebrate pathogens
BACKGROUND: Infectious diseases emerge frequently in China, partly because of its large and highly mobile population. Therefore, a rapid and cost-effective pathogen screening method with broad coverage is required for prevention and control of infectious diseases. The availability of a large number...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3848773/ https://www.ncbi.nlm.nih.gov/pubmed/24053492 http://dx.doi.org/10.1186/1471-2334-13-437 |
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author | Huang, Weiwei Yang, Yinhui Zhang, Xinlei Zhao, Changan Yin, Aihua Zhang, Xiaozhuang He, Zhengxin Jiang, Yongqiang Zhang, Liang |
author_facet | Huang, Weiwei Yang, Yinhui Zhang, Xinlei Zhao, Changan Yin, Aihua Zhang, Xiaozhuang He, Zhengxin Jiang, Yongqiang Zhang, Liang |
author_sort | Huang, Weiwei |
collection | PubMed |
description | BACKGROUND: Infectious diseases emerge frequently in China, partly because of its large and highly mobile population. Therefore, a rapid and cost-effective pathogen screening method with broad coverage is required for prevention and control of infectious diseases. The availability of a large number of microbial genome sequences generated by conventional Sanger sequencing and next generation sequencing has enabled the development of a high-throughput high-density microarray platform for rapid large-scale screening of vertebrate pathogens. METHODS: An easy operating pathogen microarray (EOPM) was designed to detect almost all known pathogens and related species based on their genomic sequences. For effective identification of pathogens from EOPM data, a statistical enrichment algorithm has been proposed, and further implemented in a user-friendly web-based interface. RESULTS: Using multiple probes designed to specifically detect a microbial genus or species, EOPM can correctly identify known pathogens at the species or genus level in blinded testing. Despite a lower sensitivity than PCR, EOPM is sufficiently sensitive to detect the predominant pathogens causing clinical symptoms. During application in two recent clinical infectious disease outbreaks in China, EOPM successfully identified the responsible pathogens. CONCLUSIONS: EOPM is an effective surveillance platform for infectious diseases, and can play an important role in infectious disease control. |
format | Online Article Text |
id | pubmed-3848773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38487732013-12-06 An easy operating pathogen microarray (EOPM) platform for rapid screening of vertebrate pathogens Huang, Weiwei Yang, Yinhui Zhang, Xinlei Zhao, Changan Yin, Aihua Zhang, Xiaozhuang He, Zhengxin Jiang, Yongqiang Zhang, Liang BMC Infect Dis Technical Advance BACKGROUND: Infectious diseases emerge frequently in China, partly because of its large and highly mobile population. Therefore, a rapid and cost-effective pathogen screening method with broad coverage is required for prevention and control of infectious diseases. The availability of a large number of microbial genome sequences generated by conventional Sanger sequencing and next generation sequencing has enabled the development of a high-throughput high-density microarray platform for rapid large-scale screening of vertebrate pathogens. METHODS: An easy operating pathogen microarray (EOPM) was designed to detect almost all known pathogens and related species based on their genomic sequences. For effective identification of pathogens from EOPM data, a statistical enrichment algorithm has been proposed, and further implemented in a user-friendly web-based interface. RESULTS: Using multiple probes designed to specifically detect a microbial genus or species, EOPM can correctly identify known pathogens at the species or genus level in blinded testing. Despite a lower sensitivity than PCR, EOPM is sufficiently sensitive to detect the predominant pathogens causing clinical symptoms. During application in two recent clinical infectious disease outbreaks in China, EOPM successfully identified the responsible pathogens. CONCLUSIONS: EOPM is an effective surveillance platform for infectious diseases, and can play an important role in infectious disease control. BioMed Central 2013-09-20 /pmc/articles/PMC3848773/ /pubmed/24053492 http://dx.doi.org/10.1186/1471-2334-13-437 Text en Copyright © 2013 Huang et al.; 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 | Technical Advance Huang, Weiwei Yang, Yinhui Zhang, Xinlei Zhao, Changan Yin, Aihua Zhang, Xiaozhuang He, Zhengxin Jiang, Yongqiang Zhang, Liang An easy operating pathogen microarray (EOPM) platform for rapid screening of vertebrate pathogens |
title | An easy operating pathogen microarray (EOPM) platform for rapid screening of vertebrate pathogens |
title_full | An easy operating pathogen microarray (EOPM) platform for rapid screening of vertebrate pathogens |
title_fullStr | An easy operating pathogen microarray (EOPM) platform for rapid screening of vertebrate pathogens |
title_full_unstemmed | An easy operating pathogen microarray (EOPM) platform for rapid screening of vertebrate pathogens |
title_short | An easy operating pathogen microarray (EOPM) platform for rapid screening of vertebrate pathogens |
title_sort | easy operating pathogen microarray (eopm) platform for rapid screening of vertebrate pathogens |
topic | Technical Advance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3848773/ https://www.ncbi.nlm.nih.gov/pubmed/24053492 http://dx.doi.org/10.1186/1471-2334-13-437 |
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