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...
Main Authors: | , , , , , |
---|---|
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 |
id |
doaj-914070b89b484e859bf641aa7e317636 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT lieselotdeleye performanceoffourmodernwholegenomeamplificationmethodsforcopynumbervariantdetectioninsinglecells AT laurentijntilleman performanceoffourmodernwholegenomeamplificationmethodsforcopynumbervariantdetectioninsinglecells AT annsophievanderplaetsen performanceoffourmodernwholegenomeamplificationmethodsforcopynumbervariantdetectioninsinglecells AT sennecornelis performanceoffourmodernwholegenomeamplificationmethodsforcopynumbervariantdetectioninsinglecells AT dieterdeforce performanceoffourmodernwholegenomeamplificationmethodsforcopynumbervariantdetectioninsinglecells AT filipvannieuwerburgh performanceoffourmodernwholegenomeamplificationmethodsforcopynumbervariantdetectioninsinglecells |
_version_ |
1724395049065644032 |