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...
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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. |
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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. 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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. 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ge, Fang</au><au>Parker, Jayme</au><au>Chul Choi, Sang</au><au>Layer, Mark</au><au>Ross, Katherine</au><au>Jilly, Bernard</au><au>Chen, Jack</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Preferential Amplification of Pathogenic Sequences</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2015-06-11</date><risdate>2015</risdate><volume>5</volume><issue>1</issue><spage>11047</spage><epage>11047</epage><pages>11047-11047</pages><artnum>11047</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>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.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>26067233</pmid><doi>10.1038/srep11047</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 38/23 38/39 45/77 49/22 49/39 49/90 49/91 631/1647/2234 631/326/107 692/308/174 692/699/255/2514 Adenoviridae - genetics Bioinformatics Cell Line, Tumor Computer programs DNA, Viral - genetics Hepacivirus - genetics Herpesvirus 8, Human - genetics Humanities and Social Sciences Humans Influenza A virus - genetics multidisciplinary Nucleic Acid Amplification Techniques - methods Oligonucleotides Parainfluenza Virus 1, Human - genetics Pathogens Primers Science Virus Diseases - diagnosis Virus Diseases - genetics Virus Diseases - mortality |
title | Preferential Amplification of Pathogenic Sequences |
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