Digital-WGS: Automated, highly efficient whole-genome sequencing of single cells by digital microfluidics
| Autor: | Chaoyong Yang, Qingyu Ruan, Xiaoye Lin, Leiji Zhou, Zhi Zhu, Yang Wang, Weidong Ruan, Fenxiang Zou |
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| Rok vydání: | 2020 |
| Předmět: |
Whole genome sequencing
0303 health sciences Multidisciplinary Computer science SciAdv r-articles Automatic processing Genomics Computational biology Amplicon Bin 03 medical and health sciences 0302 clinical medicine Research Methods Genetics Digital control Copy-number variation Digital microfluidics Research Articles 030217 neurology & neurosurgery Research Article 030304 developmental biology |
| Zdroj: | Science Advances |
| ISSN: | 2375-2548 |
| Popis: | Digital-WGS enables high-performance single-cell sequencing with automatic processing based on digital microfluidics. Single-cell whole-genome sequencing (WGS) is critical for characterizing dynamic intercellular changes in DNA. Current sample preparation technologies for single-cell WGS are complex, expensive, and suffer from high amplification bias and errors. Here, we describe Digital-WGS, a sample preparation platform that streamlines high-performance single-cell WGS with automatic processing based on digital microfluidics. Using the method, we provide high single-cell capture efficiency for any amount and types of cells by a wetted hydrodynamic structure. The digital control of droplets in a closed hydrophobic interface enables the complete removal of exogenous DNA, sufficient cell lysis, and lossless amplicon recovery, achieving the low coefficient of variation and high coverage at multiple scales. The single-cell genomic variations profiling performs the excellent detection of copy number variants with the smallest bin of 150 kb and single-nucleotide variants with allele dropout rate of 5.2%, holding great promise for broader applications of single-cell genomics. |
| Databáze: | OpenAIRE |
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