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Preferential Amplification of Pathogenic Sequences
The application of next generation sequencing (NGS) technology in the diagnosis of human pathogens is hindered by the fact that pathogenic sequences, especially viral, are often scarce in human clinical specimens. This known disproportion leads to the requirement of subsequent deep sequencing and ex...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464073/ https://www.ncbi.nlm.nih.gov/pubmed/26067233 http://dx.doi.org/10.1038/srep11047 |
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author | Ge, Fang Parker, Jayme Chul Choi, Sang Layer, Mark Ross, Katherine Jilly, Bernard Chen, Jack |
author_facet | Ge, Fang Parker, Jayme Chul Choi, Sang Layer, Mark Ross, Katherine Jilly, Bernard Chen, Jack |
author_sort | Ge, Fang |
collection | PubMed |
description | The application of next generation sequencing (NGS) technology in the diagnosis of human pathogens is hindered by the fact that pathogenic sequences, especially viral, are often scarce in human clinical specimens. This known disproportion leads to the requirement of subsequent deep sequencing and extensive bioinformatics analysis. Here we report a method we called “Preferential Amplification of Pathogenic Sequences (PATHseq)” that can be used to greatly enrich pathogenic sequences. Using a computer program, we developed 8-, 9-, and 10-mer oligonucleotides called “non-human primers” that do not match the most abundant human transcripts, but instead selectively match transcripts of human pathogens. Instead of using random primers in the construction of cDNA libraries, the PATHseq method recruits these short non-human primers, which in turn, preferentially amplifies non-human, presumably pathogenic sequences. Using this method, we were able to enrich pathogenic sequences up to 200-fold in the final sequencing library. This method does not require prior knowledge of the pathogen or assumption of the infection; therefore, it provides a fast and sequence-independent approach for detection and identification of human viruses and other pathogens. The PATHseq method, coupled with NGS technology, can be broadly used in identification of known human pathogens and discovery of new pathogens. |
format | Online Article Text |
id | pubmed-4464073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44640732015-06-18 Preferential Amplification of Pathogenic Sequences Ge, Fang Parker, Jayme Chul Choi, Sang Layer, Mark Ross, Katherine Jilly, Bernard Chen, Jack Sci Rep Article The application of next generation sequencing (NGS) technology in the diagnosis of human pathogens is hindered by the fact that pathogenic sequences, especially viral, are often scarce in human clinical specimens. This known disproportion leads to the requirement of subsequent deep sequencing and extensive bioinformatics analysis. Here we report a method we called “Preferential Amplification of Pathogenic Sequences (PATHseq)” that can be used to greatly enrich pathogenic sequences. Using a computer program, we developed 8-, 9-, and 10-mer oligonucleotides called “non-human primers” that do not match the most abundant human transcripts, but instead selectively match transcripts of human pathogens. Instead of using random primers in the construction of cDNA libraries, the PATHseq method recruits these short non-human primers, which in turn, preferentially amplifies non-human, presumably pathogenic sequences. Using this method, we were able to enrich pathogenic sequences up to 200-fold in the final sequencing library. This method does not require prior knowledge of the pathogen or assumption of the infection; therefore, it provides a fast and sequence-independent approach for detection and identification of human viruses and other pathogens. The PATHseq method, coupled with NGS technology, can be broadly used in identification of known human pathogens and discovery of new pathogens. Nature Publishing Group 2015-06-11 /pmc/articles/PMC4464073/ /pubmed/26067233 http://dx.doi.org/10.1038/srep11047 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Ge, Fang Parker, Jayme Chul Choi, Sang Layer, Mark Ross, Katherine Jilly, Bernard Chen, Jack Preferential Amplification of Pathogenic Sequences |
title | Preferential Amplification of Pathogenic Sequences |
title_full | Preferential Amplification of Pathogenic Sequences |
title_fullStr | Preferential Amplification of Pathogenic Sequences |
title_full_unstemmed | Preferential Amplification of Pathogenic Sequences |
title_short | Preferential Amplification of Pathogenic Sequences |
title_sort | preferential amplification of pathogenic sequences |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464073/ https://www.ncbi.nlm.nih.gov/pubmed/26067233 http://dx.doi.org/10.1038/srep11047 |
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