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A Flexible Approach for Highly Multiplexed Candidate Gene Targeted Resequencing

We have developed an integrated strategy for targeted resequencing and analysis of gene subsets from the human exome for variants. Our capture technology is geared towards resequencing gene subsets substantially larger than can be done efficiently with simplex or multiplex PCR but smaller in scale t...

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Autores principales: Natsoulis, Georges, Bell, John M., Xu, Hua, Buenrostro, Jason D., Ordonez, Heather, Grimes, Susan, Newburger, Daniel, Jensen, Michael, Zahn, Jacob M., Zhang, Nancy, Ji, Hanlee P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3127857/
https://www.ncbi.nlm.nih.gov/pubmed/21738606
http://dx.doi.org/10.1371/journal.pone.0021088
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author Natsoulis, Georges
Bell, John M.
Xu, Hua
Buenrostro, Jason D.
Ordonez, Heather
Grimes, Susan
Newburger, Daniel
Jensen, Michael
Zahn, Jacob M.
Zhang, Nancy
Ji, Hanlee P.
author_facet Natsoulis, Georges
Bell, John M.
Xu, Hua
Buenrostro, Jason D.
Ordonez, Heather
Grimes, Susan
Newburger, Daniel
Jensen, Michael
Zahn, Jacob M.
Zhang, Nancy
Ji, Hanlee P.
author_sort Natsoulis, Georges
collection PubMed
description We have developed an integrated strategy for targeted resequencing and analysis of gene subsets from the human exome for variants. Our capture technology is geared towards resequencing gene subsets substantially larger than can be done efficiently with simplex or multiplex PCR but smaller in scale than exome sequencing. We describe all the steps from the initial capture assay to single nucleotide variant (SNV) discovery. The capture methodology uses in-solution 80-mer oligonucleotides. To provide optimal flexibility in choosing human gene targets, we designed an in silico set of oligonucleotides, the Human OligoExome, that covers the gene exons annotated by the Consensus Coding Sequencing Project (CCDS). This resource is openly available as an Internet accessible database where one can download capture oligonucleotides sequences for any CCDS gene and design custom capture assays. Using this resource, we demonstrated the flexibility of this assay by custom designing capture assays ranging from 10 to over 100 gene targets with total capture sizes from over 100 Kilobases to nearly one Megabase. We established a method to reduce capture variability and incorporated indexing schemes to increase sample throughput. Our approach has multiple applications that include but are not limited to population targeted resequencing studies of specific gene subsets, validation of variants discovered in whole genome sequencing surveys and possible diagnostic analysis of disease gene subsets. We also present a cost analysis demonstrating its cost-effectiveness for large population studies.
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spelling pubmed-31278572011-07-07 A Flexible Approach for Highly Multiplexed Candidate Gene Targeted Resequencing Natsoulis, Georges Bell, John M. Xu, Hua Buenrostro, Jason D. Ordonez, Heather Grimes, Susan Newburger, Daniel Jensen, Michael Zahn, Jacob M. Zhang, Nancy Ji, Hanlee P. PLoS One Research Article We have developed an integrated strategy for targeted resequencing and analysis of gene subsets from the human exome for variants. Our capture technology is geared towards resequencing gene subsets substantially larger than can be done efficiently with simplex or multiplex PCR but smaller in scale than exome sequencing. We describe all the steps from the initial capture assay to single nucleotide variant (SNV) discovery. The capture methodology uses in-solution 80-mer oligonucleotides. To provide optimal flexibility in choosing human gene targets, we designed an in silico set of oligonucleotides, the Human OligoExome, that covers the gene exons annotated by the Consensus Coding Sequencing Project (CCDS). This resource is openly available as an Internet accessible database where one can download capture oligonucleotides sequences for any CCDS gene and design custom capture assays. Using this resource, we demonstrated the flexibility of this assay by custom designing capture assays ranging from 10 to over 100 gene targets with total capture sizes from over 100 Kilobases to nearly one Megabase. We established a method to reduce capture variability and incorporated indexing schemes to increase sample throughput. Our approach has multiple applications that include but are not limited to population targeted resequencing studies of specific gene subsets, validation of variants discovered in whole genome sequencing surveys and possible diagnostic analysis of disease gene subsets. We also present a cost analysis demonstrating its cost-effectiveness for large population studies. Public Library of Science 2011-06-30 /pmc/articles/PMC3127857/ /pubmed/21738606 http://dx.doi.org/10.1371/journal.pone.0021088 Text en Natsoulis 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 Research Article
Natsoulis, Georges
Bell, John M.
Xu, Hua
Buenrostro, Jason D.
Ordonez, Heather
Grimes, Susan
Newburger, Daniel
Jensen, Michael
Zahn, Jacob M.
Zhang, Nancy
Ji, Hanlee P.
A Flexible Approach for Highly Multiplexed Candidate Gene Targeted Resequencing
title A Flexible Approach for Highly Multiplexed Candidate Gene Targeted Resequencing
title_full A Flexible Approach for Highly Multiplexed Candidate Gene Targeted Resequencing
title_fullStr A Flexible Approach for Highly Multiplexed Candidate Gene Targeted Resequencing
title_full_unstemmed A Flexible Approach for Highly Multiplexed Candidate Gene Targeted Resequencing
title_short A Flexible Approach for Highly Multiplexed Candidate Gene Targeted Resequencing
title_sort flexible approach for highly multiplexed candidate gene targeted resequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3127857/
https://www.ncbi.nlm.nih.gov/pubmed/21738606
http://dx.doi.org/10.1371/journal.pone.0021088
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