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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...

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Autores principales: Strong, Michael J., Xu, Guorong, Morici, Lisa, Splinter Bon-Durant, Sandra, Baddoo, Melody, Lin, Zhen, Fewell, Claire, Taylor, Christopher M., Flemington, Erik K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
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.
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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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