Droplet-Based Digital Microfluidics for Single-Cell Genetic Analysis

2017 ◽  
pp. 171-200
Author(s):  
Yong Zeng ◽  
Richard A. Mathies
Keyword(s):  
Genetic Analysis ◽  
Single Cell ◽  
Digital Microfluidics

scholarly journals Single Cell Genetic Analysis Helps Validating Cytopathological Identification of Ctcs in Patients with Ccrc

2014 ◽  
Vol 25 ◽  
pp. v46
Author(s):  
Patrizia Paterlini-Brechot ◽  
Basma Ben Njima ◽  
Paul Hofman ◽  
Veronique Hofman ◽  
Marius Ilie ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Single Cell

scholarly journals High-Performance Single Cell Genetic Analysis Using Microfluidic Emulsion Generator Arrays

2010 ◽  
Vol 82 (8) ◽  
pp. 3183-3190 ◽  
Author(s):  
Yong Zeng ◽  
Richard Novak ◽  
Joe Shuga ◽  
Martyn T. Smith ◽  
Richard A. Mathies
Keyword(s):  
Genetic Analysis ◽  
Single Cell ◽  
High Performance

scholarly journals Single-cell genetic analysis validates cytopathological identification of circulating cancer cells in patients with clear cell renal cell carcinoma

Oncotarget ◽  
2018 ◽  
Vol 9 (28) ◽  
pp. 20058-20074 ◽  
Author(s):  
Lucile Broncy ◽  
Basma Ben Njima ◽  
Arnaud Méjean ◽  
Christophe Béroud ◽  
Khaled Ben Romdhane ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Genetic Analysis ◽  
Cell Carcinoma ◽  
Single Cell ◽  
Cancer Cells ◽  
Renal Cell ◽  
Clear Cell ◽  
Cell Renal Cell Carcinoma ◽  
Circulating Cancer Cells

Single Cell Genetic Analysis Helps Validating Cytopathological Identification of CTCs in Patients with Clear Cells Renal Carcinoma

2013 ◽  
Vol 2 (1) ◽  
pp. S7
Author(s):  
Patrizia Paterlini-Brechot ◽  
Basma Ben Njima ◽  
Marius Ilie ◽  
Paul Hofman ◽  
Veronique Hofman ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Single Cell ◽  
Renal Carcinoma ◽  
Clear Cells

A Highly Sensitive, Accurate, and Automated Single-Cell RNA Sequencing Platform with Digital Microfluidics

2020 ◽  
Vol 92 (12) ◽  
pp. 8599-8606
Author(s):  
Xing Xu ◽  
Qianqian Zhang ◽  
Jia Song ◽  
Qingyu Ruan ◽  
Weidong Ruan ◽  
...  
Keyword(s):  
Single Cell ◽  
Rna Sequencing ◽  
Digital Microfluidics ◽  
Sequencing Platform ◽  
Highly Sensitive ◽  
Single Cell Rna Sequencing

Abstract 4833: Single-cell genetic analysis reveals insights into clonal development of cervical cancer and confirms TERC as an early and dominant aberration

2015 ◽  
Author(s):  
Leanora S. Hernandez ◽  
Amanda Bradley ◽  
Timo Gaiser ◽  
Sonia Andersson ◽  
E. Michael Gertz ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Genetic Analysis ◽  
Single Cell ◽  
Clonal Development

scholarly journals Digital-WGS: Automated, highly efficient whole-genome sequencing of single cells by digital microfluidics

2020 ◽  
Vol 6 (50) ◽  
pp. eabd6454
Author(s):  
Qingyu Ruan ◽  
Weidong Ruan ◽  
Xiaoye Lin ◽  
Yang Wang ◽  
Fenxiang Zou ◽  
...  
Keyword(s):  
Sample Preparation ◽  
Whole Genome Sequencing ◽  
Single Cell ◽  
Genome Sequencing ◽  
Single Cells ◽  
Digital Microfluidics ◽  
Dropout Rate ◽  
Great Promise ◽  
Whole Genome ◽  
Exogenous Dna

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.

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