Cargando…

Massively parallel sequencing of micro-manipulated cells targeting a comprehensive panel of disease-causing genes: A comparative evaluation of upstream whole-genome amplification methods

Single Gene Disorders (SGD) are still routinely diagnosed using PCR-based assays that need to be developed and validated for each individual disease-specific gene fragment. The TruSight One sequencing panel currently covers 12 Mb of genomic content, including 4813 genes associated with a clinical ph...

Descripción completa

Detalles Bibliográficos
Autores principales: Deleye, Lieselot, Gansemans, Yannick, De Coninck, Dieter, Van Nieuwerburgh, Filip, Deforce, Dieter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5919401/
https://www.ncbi.nlm.nih.gov/pubmed/29698522
http://dx.doi.org/10.1371/journal.pone.0196334
_version_ 1783317618058330112
author Deleye, Lieselot
Gansemans, Yannick
De Coninck, Dieter
Van Nieuwerburgh, Filip
Deforce, Dieter
author_facet Deleye, Lieselot
Gansemans, Yannick
De Coninck, Dieter
Van Nieuwerburgh, Filip
Deforce, Dieter
author_sort Deleye, Lieselot
collection PubMed
description Single Gene Disorders (SGD) are still routinely diagnosed using PCR-based assays that need to be developed and validated for each individual disease-specific gene fragment. The TruSight One sequencing panel currently covers 12 Mb of genomic content, including 4813 genes associated with a clinical phenotype. When only a limited number of cells are available, whole genome amplification (WGA) is required prior to DNA target capture techniques such as the TruSight One panel. In this study, we compared 4 different WGA methods in combination with the TruSight One sequencing panel to perform single nucleotide polymorphism (SNP) genotyping starting from 3 micro-manipulated cells. This setting simulates clinical settings such as day-5 blastocyst biopsy for Preimplantation Genetic Testing (PGT), liquid biopsy of circulating tumor cells (CTCs) and cancer-cell profiling. Bulk cell samples were processed alongside these WGA samples to serve as a performance reference. Target coverage, coverage uniformity and SNP calling accuracy obtained using any of the WGA, is inferior to the results obtained on bulk cell samples. However, results after REPLI-g come close. Compared to the other WGA methods, the method using REPLI-g WGA results in a better coverage of the targeted genomic regions with a more uniform read depth. Consequently, this method also results in a more accurate SNP calling and could be considered for clinical genotyping of a limited number of cells.
format Online
Article
Text
id pubmed-5919401
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-59194012018-05-11 Massively parallel sequencing of micro-manipulated cells targeting a comprehensive panel of disease-causing genes: A comparative evaluation of upstream whole-genome amplification methods Deleye, Lieselot Gansemans, Yannick De Coninck, Dieter Van Nieuwerburgh, Filip Deforce, Dieter PLoS One Research Article Single Gene Disorders (SGD) are still routinely diagnosed using PCR-based assays that need to be developed and validated for each individual disease-specific gene fragment. The TruSight One sequencing panel currently covers 12 Mb of genomic content, including 4813 genes associated with a clinical phenotype. When only a limited number of cells are available, whole genome amplification (WGA) is required prior to DNA target capture techniques such as the TruSight One panel. In this study, we compared 4 different WGA methods in combination with the TruSight One sequencing panel to perform single nucleotide polymorphism (SNP) genotyping starting from 3 micro-manipulated cells. This setting simulates clinical settings such as day-5 blastocyst biopsy for Preimplantation Genetic Testing (PGT), liquid biopsy of circulating tumor cells (CTCs) and cancer-cell profiling. Bulk cell samples were processed alongside these WGA samples to serve as a performance reference. Target coverage, coverage uniformity and SNP calling accuracy obtained using any of the WGA, is inferior to the results obtained on bulk cell samples. However, results after REPLI-g come close. Compared to the other WGA methods, the method using REPLI-g WGA results in a better coverage of the targeted genomic regions with a more uniform read depth. Consequently, this method also results in a more accurate SNP calling and could be considered for clinical genotyping of a limited number of cells. Public Library of Science 2018-04-26 /pmc/articles/PMC5919401/ /pubmed/29698522 http://dx.doi.org/10.1371/journal.pone.0196334 Text en © 2018 Deleye 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Deleye, Lieselot
Gansemans, Yannick
De Coninck, Dieter
Van Nieuwerburgh, Filip
Deforce, Dieter
Massively parallel sequencing of micro-manipulated cells targeting a comprehensive panel of disease-causing genes: A comparative evaluation of upstream whole-genome amplification methods
title Massively parallel sequencing of micro-manipulated cells targeting a comprehensive panel of disease-causing genes: A comparative evaluation of upstream whole-genome amplification methods
title_full Massively parallel sequencing of micro-manipulated cells targeting a comprehensive panel of disease-causing genes: A comparative evaluation of upstream whole-genome amplification methods
title_fullStr Massively parallel sequencing of micro-manipulated cells targeting a comprehensive panel of disease-causing genes: A comparative evaluation of upstream whole-genome amplification methods
title_full_unstemmed Massively parallel sequencing of micro-manipulated cells targeting a comprehensive panel of disease-causing genes: A comparative evaluation of upstream whole-genome amplification methods
title_short Massively parallel sequencing of micro-manipulated cells targeting a comprehensive panel of disease-causing genes: A comparative evaluation of upstream whole-genome amplification methods
title_sort massively parallel sequencing of micro-manipulated cells targeting a comprehensive panel of disease-causing genes: a comparative evaluation of upstream whole-genome amplification methods
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5919401/
https://www.ncbi.nlm.nih.gov/pubmed/29698522
http://dx.doi.org/10.1371/journal.pone.0196334
work_keys_str_mv AT deleyelieselot massivelyparallelsequencingofmicromanipulatedcellstargetingacomprehensivepanelofdiseasecausinggenesacomparativeevaluationofupstreamwholegenomeamplificationmethods
AT gansemansyannick massivelyparallelsequencingofmicromanipulatedcellstargetingacomprehensivepanelofdiseasecausinggenesacomparativeevaluationofupstreamwholegenomeamplificationmethods
AT deconinckdieter massivelyparallelsequencingofmicromanipulatedcellstargetingacomprehensivepanelofdiseasecausinggenesacomparativeevaluationofupstreamwholegenomeamplificationmethods
AT vannieuwerburghfilip massivelyparallelsequencingofmicromanipulatedcellstargetingacomprehensivepanelofdiseasecausinggenesacomparativeevaluationofupstreamwholegenomeamplificationmethods
AT deforcedieter massivelyparallelsequencingofmicromanipulatedcellstargetingacomprehensivepanelofdiseasecausinggenesacomparativeevaluationofupstreamwholegenomeamplificationmethods