Random mutagenesis-PCR to introduce alterations into defined DNA sequences for validation of SNP and mutation detection methods
Sensitive and high throughput techniques are required for the detection of DNA sequence variants such as single nucleotide polymorphisms (SNPs) and mutations. One problem, common to all methods of SNP and mutation detection, is that experimental conditions required for detection of DNA sequence vari...
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description | Sensitive and high throughput techniques are required for the detection of DNA sequence variants such as single nucleotide polymorphisms (SNPs) and mutations. One problem, common to all methods of SNP and mutation detection, is that experimental conditions required for detection of DNA sequence variants depend on the specific DNA sequence to be analyzed. Although algorithms and other calculations have been developed to predict the experimental conditions required to detect DNA sequence variation in a specific DNA sequence, these algorithms do not always provide reliable information and experimental conditions for SNP and mutation detection must be devised empirically. Determination of experimental conditions for detection of DNA sequence variation is difficult when samples containing only wild type sequence are available. When patient derived positive controls are used, increasingly there are valid concerns about commercial ownership and patient privacy. This report presents a rapid and efficient method, employing random mutagenesis‐PCR (RM‐PCR) using low fidelity DNA polymerase, to randomly introduce single and multiple base substitutions and deletions into DNA sequences of interest. Clones with sequence changes were used to validate denaturing HPLC (DHPLC) algorithm predictions, optimize conditions for mutation detection in exon 15 of the tyrosine kinase domain of the MET proto‐oncogene, and to confirm the association between specific DNA sequence changes and unique DHPLC chromatographic profiles (signatures). Finally, DNA from 33 papillary renal carcinoma (PRC) patients was screened for mutations in exon 15 of MET using “validated” DHPLC conditions as a proof of principle application of RM‐PCR. Use of RM‐PCR for DHPLC and other SNP/mutation detection methods is discussed along with challenges associated with detecting sequence alterations in mixed tumor/normal tissue, pooled samples, and from regions of the genome that have been amplified during tumorigenesis or duplicated during evolution. Hum Mutat 17:210–219, 2001. Published 2001 Wiley‐Liss, Inc. |
doi_str_mv | 10.1002/humu.6 |
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One problem, common to all methods of SNP and mutation detection, is that experimental conditions required for detection of DNA sequence variants depend on the specific DNA sequence to be analyzed. Although algorithms and other calculations have been developed to predict the experimental conditions required to detect DNA sequence variation in a specific DNA sequence, these algorithms do not always provide reliable information and experimental conditions for SNP and mutation detection must be devised empirically. Determination of experimental conditions for detection of DNA sequence variation is difficult when samples containing only wild type sequence are available. When patient derived positive controls are used, increasingly there are valid concerns about commercial ownership and patient privacy. This report presents a rapid and efficient method, employing random mutagenesis‐PCR (RM‐PCR) using low fidelity DNA polymerase, to randomly introduce single and multiple base substitutions and deletions into DNA sequences of interest. Clones with sequence changes were used to validate denaturing HPLC (DHPLC) algorithm predictions, optimize conditions for mutation detection in exon 15 of the tyrosine kinase domain of the MET proto‐oncogene, and to confirm the association between specific DNA sequence changes and unique DHPLC chromatographic profiles (signatures). Finally, DNA from 33 papillary renal carcinoma (PRC) patients was screened for mutations in exon 15 of MET using “validated” DHPLC conditions as a proof of principle application of RM‐PCR. Use of RM‐PCR for DHPLC and other SNP/mutation detection methods is discussed along with challenges associated with detecting sequence alterations in mixed tumor/normal tissue, pooled samples, and from regions of the genome that have been amplified during tumorigenesis or duplicated during evolution. Hum Mutat 17:210–219, 2001. 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Mutat</addtitle><description>Sensitive and high throughput techniques are required for the detection of DNA sequence variants such as single nucleotide polymorphisms (SNPs) and mutations. One problem, common to all methods of SNP and mutation detection, is that experimental conditions required for detection of DNA sequence variants depend on the specific DNA sequence to be analyzed. Although algorithms and other calculations have been developed to predict the experimental conditions required to detect DNA sequence variation in a specific DNA sequence, these algorithms do not always provide reliable information and experimental conditions for SNP and mutation detection must be devised empirically. Determination of experimental conditions for detection of DNA sequence variation is difficult when samples containing only wild type sequence are available. When patient derived positive controls are used, increasingly there are valid concerns about commercial ownership and patient privacy. This report presents a rapid and efficient method, employing random mutagenesis‐PCR (RM‐PCR) using low fidelity DNA polymerase, to randomly introduce single and multiple base substitutions and deletions into DNA sequences of interest. Clones with sequence changes were used to validate denaturing HPLC (DHPLC) algorithm predictions, optimize conditions for mutation detection in exon 15 of the tyrosine kinase domain of the MET proto‐oncogene, and to confirm the association between specific DNA sequence changes and unique DHPLC chromatographic profiles (signatures). Finally, DNA from 33 papillary renal carcinoma (PRC) patients was screened for mutations in exon 15 of MET using “validated” DHPLC conditions as a proof of principle application of RM‐PCR. Use of RM‐PCR for DHPLC and other SNP/mutation detection methods is discussed along with challenges associated with detecting sequence alterations in mixed tumor/normal tissue, pooled samples, and from regions of the genome that have been amplified during tumorigenesis or duplicated during evolution. Hum Mutat 17:210–219, 2001. Published 2001 Wiley‐Liss, Inc.</description><subject>Chromatography, High Pressure Liquid - methods</subject><subject>Cloning, Molecular</subject><subject>DHPLC</subject><subject>DNA - chemistry</subject><subject>DNA - genetics</subject><subject>DNA Mutational Analysis - methods</subject><subject>Exons - genetics</subject><subject>Humans</subject><subject>MET proto-oncogene</subject><subject>Mutagenesis</subject><subject>Mutation</subject><subject>mutation detection</subject><subject>PCR</subject><subject>Polymerase Chain Reaction - methods</subject><subject>Polymorphism, Single Nucleotide - genetics</subject><subject>Proto-Oncogene Proteins c-met - genetics</subject><subject>random mutagenesis</subject><subject>Sequence Analysis, DNA</subject><subject>sequencing</subject><subject>signature</subject><subject>single nucleotide polymorphism</subject><subject>SNP</subject><issn>1059-7794</issn><issn>1098-1004</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kE1P3DAQhi3UCigfPwFZPVTqIWA7thMf6dKyVWFBCyu4WSaeQGATg-203VP_ep3dFZw4zejVo2dGL0L7lBxSQtjRQ9_2h3IDbVOiyixF_MOwC5UVheJb6FMIj4SQUoh8E21Ryjgteb6N_k1NZ12L2z6ae-ggNCG7HE1xdLjpone2rwCbeQRvYuO6MKQOW6ibDiw-mRzjAC89dBUEXDuPf5t5Y5codjW-mlzi5F_al5mFCNVyayE-OBt20cfazAPsrecOmv34fj0aZ2cXpz9Hx2dZxYmUWUkqQdPHUBPgnAG3SghFqBQMBEioZHVHCSOGijxnlIlSCs4Y1LQsbUHqfAd9XnmfvUv_hqgfXe-7dFJTVTCpqMoT9GUFVd6F4KHWz75pjV9oSvRQsx5q1jKBB2tbf9eCfcPWvSbg6wr408xh8Y5Gj2fns0GWrdgmRPj7yhr_pGWRF0LfTE71L8Vvv6npKB3_D0aAlSs</recordid><startdate>200103</startdate><enddate>200103</enddate><creator>Nickerson, Michael L.</creator><creator>Warren, Michelle B.</creator><creator>Zbar, Berton</creator><creator>Schmidt, Laura S.</creator><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope></search><sort><creationdate>200103</creationdate><title>Random mutagenesis-PCR to introduce alterations into defined DNA sequences for validation of SNP and mutation detection methods</title><author>Nickerson, Michael L. ; Warren, Michelle B. ; Zbar, Berton ; Schmidt, Laura S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4066-80c51184ef0e442e4d955901652e5e6ec6cb1020a15332125865422ef188d70f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Chromatography, High Pressure Liquid - methods</topic><topic>Cloning, Molecular</topic><topic>DHPLC</topic><topic>DNA - chemistry</topic><topic>DNA - genetics</topic><topic>DNA Mutational Analysis - methods</topic><topic>Exons - genetics</topic><topic>Humans</topic><topic>MET proto-oncogene</topic><topic>Mutagenesis</topic><topic>Mutation</topic><topic>mutation detection</topic><topic>PCR</topic><topic>Polymerase Chain Reaction - methods</topic><topic>Polymorphism, Single Nucleotide - genetics</topic><topic>Proto-Oncogene Proteins c-met - genetics</topic><topic>random mutagenesis</topic><topic>Sequence Analysis, DNA</topic><topic>sequencing</topic><topic>signature</topic><topic>single nucleotide polymorphism</topic><topic>SNP</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nickerson, Michael L.</creatorcontrib><creatorcontrib>Warren, Michelle B.</creatorcontrib><creatorcontrib>Zbar, Berton</creatorcontrib><creatorcontrib>Schmidt, Laura S.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><jtitle>Human mutation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nickerson, Michael L.</au><au>Warren, Michelle B.</au><au>Zbar, Berton</au><au>Schmidt, Laura S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Random mutagenesis-PCR to introduce alterations into defined DNA sequences for validation of SNP and mutation detection methods</atitle><jtitle>Human mutation</jtitle><addtitle>Hum. Mutat</addtitle><date>2001-03</date><risdate>2001</risdate><volume>17</volume><issue>3</issue><spage>210</spage><epage>219</epage><pages>210-219</pages><issn>1059-7794</issn><eissn>1098-1004</eissn><abstract>Sensitive and high throughput techniques are required for the detection of DNA sequence variants such as single nucleotide polymorphisms (SNPs) and mutations. One problem, common to all methods of SNP and mutation detection, is that experimental conditions required for detection of DNA sequence variants depend on the specific DNA sequence to be analyzed. Although algorithms and other calculations have been developed to predict the experimental conditions required to detect DNA sequence variation in a specific DNA sequence, these algorithms do not always provide reliable information and experimental conditions for SNP and mutation detection must be devised empirically. Determination of experimental conditions for detection of DNA sequence variation is difficult when samples containing only wild type sequence are available. When patient derived positive controls are used, increasingly there are valid concerns about commercial ownership and patient privacy. This report presents a rapid and efficient method, employing random mutagenesis‐PCR (RM‐PCR) using low fidelity DNA polymerase, to randomly introduce single and multiple base substitutions and deletions into DNA sequences of interest. Clones with sequence changes were used to validate denaturing HPLC (DHPLC) algorithm predictions, optimize conditions for mutation detection in exon 15 of the tyrosine kinase domain of the MET proto‐oncogene, and to confirm the association between specific DNA sequence changes and unique DHPLC chromatographic profiles (signatures). Finally, DNA from 33 papillary renal carcinoma (PRC) patients was screened for mutations in exon 15 of MET using “validated” DHPLC conditions as a proof of principle application of RM‐PCR. Use of RM‐PCR for DHPLC and other SNP/mutation detection methods is discussed along with challenges associated with detecting sequence alterations in mixed tumor/normal tissue, pooled samples, and from regions of the genome that have been amplified during tumorigenesis or duplicated during evolution. Hum Mutat 17:210–219, 2001. Published 2001 Wiley‐Liss, Inc.</abstract><cop>New York</cop><pub>John Wiley & Sons, Inc</pub><pmid>11241843</pmid><doi>10.1002/humu.6</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Chromatography, High Pressure Liquid - methods Cloning, Molecular DHPLC DNA - chemistry DNA - genetics DNA Mutational Analysis - methods Exons - genetics Humans MET proto-oncogene Mutagenesis Mutation mutation detection PCR Polymerase Chain Reaction - methods Polymorphism, Single Nucleotide - genetics Proto-Oncogene Proteins c-met - genetics random mutagenesis Sequence Analysis, DNA sequencing signature single nucleotide polymorphism SNP |
title | Random mutagenesis-PCR to introduce alterations into defined DNA sequences for validation of SNP and mutation detection methods |
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