» Articles » PMID: 28915574

Comparative Study of Whole Genome Amplification and Next Generation Sequencing Performance of Single Cancer Cells

Overview
Journal Oncotarget
Specialty Oncology
Date 2017 Sep 17
PMID 28915574
Citations 43
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Whole genome amplification (WGA) is required for single cell genotyping. Effectiveness of currently available WGA technologies in combination with next generation sequencing (NGS) and material preservation is still elusive.

Results: In respect to the accuracy of SNP/mutation, indel, and copy number aberrations (CNA) calling, the HiSeq2000 platform outperformed IonProton in all aspects. Furthermore, more accurate SNP/mutation and indel calling was demonstrated using single tumor cells obtained from EDTA-collected blood in respect to CellSave-preserved blood, whereas CNA analysis in our study was not detectably affected by fixation. Although MDA-based WGA yielded the highest DNA amount, DNA quality was not adequate for downstream analysis. PCR-based WGA demonstrates superiority over MDA-PCR combining technique for SNP and indel analysis in single cells. However, SNP calling performance of MDA-PCR WGA improves with increasing amount of input DNA, whereas CNA analysis does not. The performance of PCR-based WGA did not significantly improve with increase of input material. CNA profiles of single cells, amplified with MDA-PCR technique and sequenced on both HiSeq2000 and IonProton platforms, resembled unamplified DNA the most.

Materials And Methods: We analyzed the performance of PCR-based, multiple-displacement amplification (MDA)-based, and MDA-PCR combining WGA techniques (WGA kits Ampli1, REPLI-g, and PicoPlex, respectively) on single and pooled tumor cells obtained from EDTA- and CellSave-preserved blood and archival material. Amplified DNA underwent exome-Seq with the Illumina HiSeq2000 and ThermoFisher IonProton platforms.

Conclusion: We demonstrate the feasibility of single cell genotyping of differently preserved material, nevertheless, WGA and NGS approaches have to be chosen carefully depending on the study aims.

Citing Articles

HIPSD&R-seq enables scalable genomic copy number and transcriptome profiling.

Otonicar J, Lazareva O, Mallm J, Simovic-Lorenz M, Philippos G, Sant P Genome Biol. 2024; 25(1):316.

PMID: 39696535 PMC: 11657747. DOI: 10.1186/s13059-024-03450-0.


Case report: Successful PGT-M based on the identification of a spliceogenic variant in the gene through Minigene assay.

Xu H, Pu J, Wu Z, Guo S, Li X Front Genet. 2024; 15:1456293.

PMID: 39479399 PMC: 11521898. DOI: 10.3389/fgene.2024.1456293.


Single-cell somatic copy number variants in brain using different amplification methods and reference genomes.

Kalef-Ezra E, Turan Z, Perez-Rodriguez D, Bomann I, Behera S, Morley C Commun Biol. 2024; 7(1):1288.

PMID: 39384904 PMC: 11464624. DOI: 10.1038/s42003-024-06940-w.


Mutation analysis in individual circulating tumor cells depicts intratumor heterogeneity in melanoma.

Sementsov M, Ott L, Kott J, Sartori A, Lusque A, Degenhardt S EMBO Mol Med. 2024; 16(7):1560-1578.

PMID: 38898234 PMC: 11250829. DOI: 10.1038/s44321-024-00082-6.


A multiparameter liquid biopsy approach allows to track melanoma dynamics and identify early treatment resistance.

Scaini M, Catoni C, Poggiana C, Pigozzo J, Piccin L, Leone K NPJ Precis Oncol. 2024; 8(1):78.

PMID: 38548846 PMC: 10978909. DOI: 10.1038/s41698-024-00567-0.


References
1.
Farrell C, OLeary N, Harte R, Loveland J, Wilming L, Wallin C . Current status and new features of the Consensus Coding Sequence database. Nucleic Acids Res. 2013; 42(Database issue):D865-72. PMC: 3965069. DOI: 10.1093/nar/gkt1059. View

2.
Forbes S, Beare D, Gunasekaran P, Leung K, Bindal N, Boutselakis H . COSMIC: exploring the world's knowledge of somatic mutations in human cancer. Nucleic Acids Res. 2014; 43(Database issue):D805-11. PMC: 4383913. DOI: 10.1093/nar/gku1075. View

3.
Barker D, Hansen M, Faruqi A, Giannola D, Irsula O, Lasken R . Two methods of whole-genome amplification enable accurate genotyping across a 2320-SNP linkage panel. Genome Res. 2004; 14(5):901-7. PMC: 479118. DOI: 10.1101/gr.1949704. View

4.
Boeva V, Popova T, Bleakley K, Chiche P, Cappo J, Schleiermacher G . Control-FREEC: a tool for assessing copy number and allelic content using next-generation sequencing data. Bioinformatics. 2011; 28(3):423-5. PMC: 3268243. DOI: 10.1093/bioinformatics/btr670. View

5.
Joosse S, Brandwijk K, Devilee P, Wesseling J, Hogervorst F, Verhoef S . Prediction of BRCA2-association in hereditary breast carcinomas using array-CGH. Breast Cancer Res Treat. 2010; 132(2):379-89. DOI: 10.1007/s10549-010-1016-7. View