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The Microbial Detection Array for Detection of Emerging Viruses in Clinical Samples - A Useful Panmicrobial Diagnostic Tool
Emerging viruses are usually endemic to tropical and sub-tropical regions of the world, but increased global travel, climate change and changes in lifestyle are believed to contribute to the spread of these viruses into new regions. Many of these viruses cause similar disease symptoms as other emerg...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4070998/ https://www.ncbi.nlm.nih.gov/pubmed/24963710 http://dx.doi.org/10.1371/journal.pone.0100813 |
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author | Rosenstierne, Maiken W. McLoughlin, Kevin S. Olesen, Majken Lindholm Papa, Anna Gardner, Shea N. Engler, Olivier Plumet, Sebastien Mirazimi, Ali Weidmann, Manfred Niedrig, Matthias Fomsgaard, Anders Erlandsson, Lena |
author_facet | Rosenstierne, Maiken W. McLoughlin, Kevin S. Olesen, Majken Lindholm Papa, Anna Gardner, Shea N. Engler, Olivier Plumet, Sebastien Mirazimi, Ali Weidmann, Manfred Niedrig, Matthias Fomsgaard, Anders Erlandsson, Lena |
author_sort | Rosenstierne, Maiken W. |
collection | PubMed |
description | Emerging viruses are usually endemic to tropical and sub-tropical regions of the world, but increased global travel, climate change and changes in lifestyle are believed to contribute to the spread of these viruses into new regions. Many of these viruses cause similar disease symptoms as other emerging viruses or common infections, making these unexpected pathogens difficult to diagnose. Broad-spectrum pathogen detection microarrays containing probes for all sequenced viruses and bacteria can provide rapid identification of viruses, guiding decisions about treatment and appropriate case management. We report a modified Whole Transcriptome Amplification (WTA) method that increases unbiased amplification, particular of RNA viruses. Using this modified WTA method, we tested the specificity and sensitivity of the Lawrence Livermore Microbial Detection Array (LLMDA) against a wide range of emerging viruses present in both non-clinical and clinical samples using two different microarray data analysis methods. |
format | Online Article Text |
id | pubmed-4070998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40709982014-06-27 The Microbial Detection Array for Detection of Emerging Viruses in Clinical Samples - A Useful Panmicrobial Diagnostic Tool Rosenstierne, Maiken W. McLoughlin, Kevin S. Olesen, Majken Lindholm Papa, Anna Gardner, Shea N. Engler, Olivier Plumet, Sebastien Mirazimi, Ali Weidmann, Manfred Niedrig, Matthias Fomsgaard, Anders Erlandsson, Lena PLoS One Research Article Emerging viruses are usually endemic to tropical and sub-tropical regions of the world, but increased global travel, climate change and changes in lifestyle are believed to contribute to the spread of these viruses into new regions. Many of these viruses cause similar disease symptoms as other emerging viruses or common infections, making these unexpected pathogens difficult to diagnose. Broad-spectrum pathogen detection microarrays containing probes for all sequenced viruses and bacteria can provide rapid identification of viruses, guiding decisions about treatment and appropriate case management. We report a modified Whole Transcriptome Amplification (WTA) method that increases unbiased amplification, particular of RNA viruses. Using this modified WTA method, we tested the specificity and sensitivity of the Lawrence Livermore Microbial Detection Array (LLMDA) against a wide range of emerging viruses present in both non-clinical and clinical samples using two different microarray data analysis methods. Public Library of Science 2014-06-25 /pmc/articles/PMC4070998/ /pubmed/24963710 http://dx.doi.org/10.1371/journal.pone.0100813 Text en © 2014 Rosenstierne et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Rosenstierne, Maiken W. McLoughlin, Kevin S. Olesen, Majken Lindholm Papa, Anna Gardner, Shea N. Engler, Olivier Plumet, Sebastien Mirazimi, Ali Weidmann, Manfred Niedrig, Matthias Fomsgaard, Anders Erlandsson, Lena The Microbial Detection Array for Detection of Emerging Viruses in Clinical Samples - A Useful Panmicrobial Diagnostic Tool |
title | The Microbial Detection Array for Detection of Emerging Viruses in Clinical Samples - A Useful Panmicrobial Diagnostic Tool |
title_full | The Microbial Detection Array for Detection of Emerging Viruses in Clinical Samples - A Useful Panmicrobial Diagnostic Tool |
title_fullStr | The Microbial Detection Array for Detection of Emerging Viruses in Clinical Samples - A Useful Panmicrobial Diagnostic Tool |
title_full_unstemmed | The Microbial Detection Array for Detection of Emerging Viruses in Clinical Samples - A Useful Panmicrobial Diagnostic Tool |
title_short | The Microbial Detection Array for Detection of Emerging Viruses in Clinical Samples - A Useful Panmicrobial Diagnostic Tool |
title_sort | microbial detection array for detection of emerging viruses in clinical samples - a useful panmicrobial diagnostic tool |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4070998/ https://www.ncbi.nlm.nih.gov/pubmed/24963710 http://dx.doi.org/10.1371/journal.pone.0100813 |
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