ArticleScientific reports2017
Performance of four modern whole genome amplification methods for copy number variant detection in single cells.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
38 citing papers in PubMed.
- Performance Evaluation of Whole-Genome Amplification Platforms for Clinical Next-Generation Sequencing with Minimal Nucleic Acid Input.Annals of laboratory medicine · 2026Article
- Assessing the efficacy of targeted enrichment protocol in PGT-M applications: a comprehensive analysis.Journal of assisted reproduction and genetics · 2025Article
- Differential performance of strategies for single-cell whole-genome amplification.Cell reports methods · 2025Article
- Single-cell genome and transcriptome sequencing without upfront whole-genome amplification reveals cell state plasticity of melanoma subclones.Nucleic acids research · 2025Article
- Tolerance thresholds underlie responses to DNA damage during germline development.Genes & development · 2024Article
- Comprehensive analysis of flavohemoprotein copy number variation in Giardia intestinalis: exploring links to metronidazole resistance.Parasites & vectors · 2024Article
- Review
- Chromosome instability and aneuploidy in the mammalian brain.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2023Review
- Single-worm long-read sequencing reveals genome diversity in free-living nematodes.Nucleic acids research · 2023Article
- Isothermal nucleic acid amplification and its uses in modern diagnostic technologies.3 Biotech · 2023Review
- The human gut virome: composition, colonization, interactions, and impacts on human health.Frontiers in microbiology · 2023Review
- Somatic CNV Detection by Single-Cell Whole-Genome Sequencing in Postmortem Human Brain.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Cost-saving population genomic investigation ofEcology and evolution · 2022Article
- Integrated Workflow for the Label-Free Isolation and Genomic Analysis of Single Circulating Tumor Cells in Pancreatic Cancer.International journal of molecular sciences · 2022Article
- Leveraging single-cell sequencing to unravel intratumour heterogeneity and tumour evolution in human cancers.The Journal of pathology · 2022Review
- Circulating tumour cells in the -omics era: how far are we from achieving the 'singularity'?British journal of cancer · 2022Review
- Whole-Genome Amplification-Surveying Yield, Reproducibility, and Heterozygous Balance, Reported by STR-Targeting MIPs.International journal of molecular sciences · 2022Article
- Whole Genome Amplification in Preimplantation Genetic Testing in the Era of Massively Parallel Sequencing.International journal of molecular sciences · 2022Review
- Review
- Fifty Generations of Amitosis: Tracing Asymmetric Allele Segregation in Polyploid Cells with Single-Cell DNA Sequencing.Microorganisms · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.