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Microarrays for Public Health: Genomic Epidemiology of Tuberculosis
In response to a large local school-based outbreak of tuberculosis, we have been evaluating the utility of microarray bacterial genomic analysis in outbreak management. After initial comparison of the isolate from the index case with Mycobacterium tuberculosis H37Rv, it was possible to design robust...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2002
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2448433/ https://www.ncbi.nlm.nih.gov/pubmed/18629269 http://dx.doi.org/10.1002/cfg.191 |
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author | Shafi, Jamila Andrew, Peter W. Barer, Michael R. |
author_facet | Shafi, Jamila Andrew, Peter W. Barer, Michael R. |
author_sort | Shafi, Jamila |
collection | PubMed |
description | In response to a large local school-based outbreak of tuberculosis, we have been evaluating the utility of microarray bacterial genomic analysis in outbreak management. After initial comparison of the isolate from the index case with Mycobacterium tuberculosis H37Rv, it was possible to design robust PCRs directed towards strain-specific deletions. Rapid PCR analysis of isolates proved valuable in determining whether or not other isolates were compatible with the outbreak strain and further microarray studies revealed genetic markers that could be used to discriminate between locally circulating strains.We suggest that this approach forms the basis for developing rapid local genotyping schemes applicable to M. tuberculosis and that application to other pathogens warrants consideration. |
format | Text |
id | pubmed-2448433 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2002 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-24484332008-07-14 Microarrays for Public Health: Genomic Epidemiology of Tuberculosis Shafi, Jamila Andrew, Peter W. Barer, Michael R. Comp Funct Genomics Research Article In response to a large local school-based outbreak of tuberculosis, we have been evaluating the utility of microarray bacterial genomic analysis in outbreak management. After initial comparison of the isolate from the index case with Mycobacterium tuberculosis H37Rv, it was possible to design robust PCRs directed towards strain-specific deletions. Rapid PCR analysis of isolates proved valuable in determining whether or not other isolates were compatible with the outbreak strain and further microarray studies revealed genetic markers that could be used to discriminate between locally circulating strains.We suggest that this approach forms the basis for developing rapid local genotyping schemes applicable to M. tuberculosis and that application to other pathogens warrants consideration. Hindawi Publishing Corporation 2002-08 /pmc/articles/PMC2448433/ /pubmed/18629269 http://dx.doi.org/10.1002/cfg.191 Text en Copyright © 2002 Hindawi Publishing Corporation. http://creativecommons.org/licenses/by/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Shafi, Jamila Andrew, Peter W. Barer, Michael R. Microarrays for Public Health: Genomic Epidemiology of Tuberculosis |
title | Microarrays for Public Health: Genomic Epidemiology of Tuberculosis |
title_full | Microarrays for Public Health: Genomic Epidemiology of Tuberculosis |
title_fullStr | Microarrays for Public Health: Genomic Epidemiology of Tuberculosis |
title_full_unstemmed | Microarrays for Public Health: Genomic Epidemiology of Tuberculosis |
title_short | Microarrays for Public Health: Genomic Epidemiology of Tuberculosis |
title_sort | microarrays for public health: genomic epidemiology of tuberculosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2448433/ https://www.ncbi.nlm.nih.gov/pubmed/18629269 http://dx.doi.org/10.1002/cfg.191 |
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