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Microbial Contamination in Next Generation Sequencing: Implications for Sequence-Based Analysis of Clinical Samples
The high level of accuracy and sensitivity of next generation sequencing for quantifying genetic material across organismal boundaries gives it tremendous potential for pathogen discovery and diagnosis in human disease. Despite this promise, substantial bacterial contamination is routinely found in...
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/PMC4239086/ https://www.ncbi.nlm.nih.gov/pubmed/25412476 http://dx.doi.org/10.1371/journal.ppat.1004437 |
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author | Strong, Michael J. Xu, Guorong Morici, Lisa Splinter Bon-Durant, Sandra Baddoo, Melody Lin, Zhen Fewell, Claire Taylor, Christopher M. Flemington, Erik K. |
author_facet | Strong, Michael J. Xu, Guorong Morici, Lisa Splinter Bon-Durant, Sandra Baddoo, Melody Lin, Zhen Fewell, Claire Taylor, Christopher M. Flemington, Erik K. |
author_sort | Strong, Michael J. |
collection | PubMed |
description | The high level of accuracy and sensitivity of next generation sequencing for quantifying genetic material across organismal boundaries gives it tremendous potential for pathogen discovery and diagnosis in human disease. Despite this promise, substantial bacterial contamination is routinely found in existing human-derived RNA-seq datasets that likely arises from environmental sources. This raises the need for stringent sequencing and analysis protocols for studies investigating sequence-based microbial signatures in clinical samples. |
format | Online Article Text |
id | pubmed-4239086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42390862014-11-26 Microbial Contamination in Next Generation Sequencing: Implications for Sequence-Based Analysis of Clinical Samples Strong, Michael J. Xu, Guorong Morici, Lisa Splinter Bon-Durant, Sandra Baddoo, Melody Lin, Zhen Fewell, Claire Taylor, Christopher M. Flemington, Erik K. PLoS Pathog Opinion The high level of accuracy and sensitivity of next generation sequencing for quantifying genetic material across organismal boundaries gives it tremendous potential for pathogen discovery and diagnosis in human disease. Despite this promise, substantial bacterial contamination is routinely found in existing human-derived RNA-seq datasets that likely arises from environmental sources. This raises the need for stringent sequencing and analysis protocols for studies investigating sequence-based microbial signatures in clinical samples. Public Library of Science 2014-11-20 /pmc/articles/PMC4239086/ /pubmed/25412476 http://dx.doi.org/10.1371/journal.ppat.1004437 Text en © 2014 Strong 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 | Opinion Strong, Michael J. Xu, Guorong Morici, Lisa Splinter Bon-Durant, Sandra Baddoo, Melody Lin, Zhen Fewell, Claire Taylor, Christopher M. Flemington, Erik K. Microbial Contamination in Next Generation Sequencing: Implications for Sequence-Based Analysis of Clinical Samples |
title | Microbial Contamination in Next Generation Sequencing: Implications for Sequence-Based Analysis of Clinical Samples |
title_full | Microbial Contamination in Next Generation Sequencing: Implications for Sequence-Based Analysis of Clinical Samples |
title_fullStr | Microbial Contamination in Next Generation Sequencing: Implications for Sequence-Based Analysis of Clinical Samples |
title_full_unstemmed | Microbial Contamination in Next Generation Sequencing: Implications for Sequence-Based Analysis of Clinical Samples |
title_short | Microbial Contamination in Next Generation Sequencing: Implications for Sequence-Based Analysis of Clinical Samples |
title_sort | microbial contamination in next generation sequencing: implications for sequence-based analysis of clinical samples |
topic | Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239086/ https://www.ncbi.nlm.nih.gov/pubmed/25412476 http://dx.doi.org/10.1371/journal.ppat.1004437 |
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