Performance of four modern whole genome amplification methods for copy number variant detection in single cells

Abstract Whole genome amplification (WGA) has become an invaluable tool to perform copy number variation (CNV) detection in single, or a limited number of cells. Unfortunately, current WGA methods introduce representation bias that limits the detection of small CNVs. New WGA methods have been introd...

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Autores principales:	Lieselot Deleye, Laurentijn Tilleman, Ann-Sophie Vander Plaetsen, Senne Cornelis, Dieter Deforce, Filip Van Nieuwerburgh
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/914070b89b484e859bf641aa7e317636
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spelling	oai:doaj.org-article:914070b89b484e859bf641aa7e3176362021-12-02T12:31:47ZPerformance of four modern whole genome amplification methods for copy number variant detection in single cells10.1038/s41598-017-03711-y2045-2322https://doaj.org/article/914070b89b484e859bf641aa7e3176362017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03711-yhttps://doaj.org/toc/2045-2322Abstract Whole genome amplification (WGA) has become an invaluable tool to perform copy number variation (CNV) detection in single, or a limited number of cells. Unfortunately, current WGA methods introduce representation bias that limits the detection of small CNVs. New WGA methods have been introduced that might have the potential to reduce this bias. We compared the performance of PicoPLEX DNA-Seq (Picoseq), DOPlify, REPLI-g and Ampli-1 WGA for aneuploidy screening and copy number analysis using shallow whole genome massively parallel sequencing (MPS), starting from single or a limited number of cells. Although the four WGA methods perform differently, they are all suited for this application.Lieselot DeleyeLaurentijn TillemanAnn-Sophie Vander PlaetsenSenne CornelisDieter DeforceFilip Van NieuwerburghNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lieselot Deleye Laurentijn Tilleman Ann-Sophie Vander Plaetsen Senne Cornelis Dieter Deforce Filip Van Nieuwerburgh Performance of four modern whole genome amplification methods for copy number variant detection in single cells
description	Abstract Whole genome amplification (WGA) has become an invaluable tool to perform copy number variation (CNV) detection in single, or a limited number of cells. Unfortunately, current WGA methods introduce representation bias that limits the detection of small CNVs. New WGA methods have been introduced that might have the potential to reduce this bias. We compared the performance of PicoPLEX DNA-Seq (Picoseq), DOPlify, REPLI-g and Ampli-1 WGA for aneuploidy screening and copy number analysis using shallow whole genome massively parallel sequencing (MPS), starting from single or a limited number of cells. Although the four WGA methods perform differently, they are all suited for this application.
format	article
author	Lieselot Deleye Laurentijn Tilleman Ann-Sophie Vander Plaetsen Senne Cornelis Dieter Deforce Filip Van Nieuwerburgh
author_facet	Lieselot Deleye Laurentijn Tilleman Ann-Sophie Vander Plaetsen Senne Cornelis Dieter Deforce Filip Van Nieuwerburgh
author_sort	Lieselot Deleye
title	Performance of four modern whole genome amplification methods for copy number variant detection in single cells
title_short	Performance of four modern whole genome amplification methods for copy number variant detection in single cells
title_full	Performance of four modern whole genome amplification methods for copy number variant detection in single cells
title_fullStr	Performance of four modern whole genome amplification methods for copy number variant detection in single cells
title_full_unstemmed	Performance of four modern whole genome amplification methods for copy number variant detection in single cells
title_sort	performance of four modern whole genome amplification methods for copy number variant detection in single cells
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/914070b89b484e859bf641aa7e317636
work_keys_str_mv	AT lieselotdeleye performanceoffourmodernwholegenomeamplificationmethodsforcopynumbervariantdetectioninsinglecells AT laurentijntilleman performanceoffourmodernwholegenomeamplificationmethodsforcopynumbervariantdetectioninsinglecells AT annsophievanderplaetsen performanceoffourmodernwholegenomeamplificationmethodsforcopynumbervariantdetectioninsinglecells AT sennecornelis performanceoffourmodernwholegenomeamplificationmethodsforcopynumbervariantdetectioninsinglecells AT dieterdeforce performanceoffourmodernwholegenomeamplificationmethodsforcopynumbervariantdetectioninsinglecells AT filipvannieuwerburgh performanceoffourmodernwholegenomeamplificationmethodsforcopynumbervariantdetectioninsinglecells
_version_	1718394292227014656

Performance of four modern whole genome amplification methods for copy number variant detection in single cells

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