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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Main Authors: Lieselot Deleye, Laurentijn Tilleman, Ann-Sophie Vander Plaetsen, Senne Cornelis, Dieter Deforce, Filip Van Nieuwerburgh
Format: Article
Language:English
Published: Nature Publishing Group 2017-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-03711-y
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spelling doaj-914070b89b484e859bf641aa7e3176362020-12-08T01:19:33ZengNature Publishing GroupScientific Reports2045-23222017-06-01711910.1038/s41598-017-03711-yPerformance of four modern whole genome amplification methods for copy number variant detection in single cellsLieselot Deleye0Laurentijn Tilleman1Ann-Sophie Vander Plaetsen2Senne Cornelis3Dieter Deforce4Filip Van Nieuwerburgh5Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460Laboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460Abstract 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.https://doi.org/10.1038/s41598-017-03711-y
collection DOAJ
language English
format Article
sources DOAJ
author Lieselot Deleye
Laurentijn Tilleman
Ann-Sophie Vander Plaetsen
Senne Cornelis
Dieter Deforce
Filip Van Nieuwerburgh
spellingShingle 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
Scientific Reports
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 Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2017-06-01
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.
url https://doi.org/10.1038/s41598-017-03711-y
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