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

被引：40

作者：

Deleye, Lieselot ^{[1
]}

Tilleman, Laurentijn ^{[1
]}

Vander Plaetsen, Ann-Sophie ^{[1
]}

Cornelis, Senne ^{[1
]}

Deforce, Dieter ^{[1
]}

Van Nieuwerburgh, Filip ^{[1
]}

机构：

[1] Univ Ghent, Lab Pharmaceut Biotechnol, Ottergemsesteenweg 460, B-9000 Ghent, Belgium

来源：

SCIENTIFIC REPORTS | 2017年 / 7卷

关键词：

CIRCULATING TUMOR-CELLS; SOMATIC MUTATIONS; ANEUPLOIDY; DIAGNOSIS; CATALOG; CANCER;

D O I：

10.1038/s41598-017-03711-y

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：9

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