Measurement of copy number variation in single cancer cells using rapid-emulsification digital droplet MDA
作者机构:Department of Bioengineering and Therapeutic SciencesUniversity of CaliforniaSan Francisco(UCSF)California Institute for Quantitative Biosciences(QB3)San FranciscoSan FranciscoCA 94158USA Department of UrologyDivision of Hematology&OncologyUniversity of CaliforniaSan Francisco(UCSF)San FranciscoCA 94158USA
出 版 物:《Microsystems & Nanoengineering》 (微系统与纳米工程(英文))
年 卷 期:2017年第3卷第1期
页 面:260-266页
核心收录:
学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
基 金:We thank Angus Sidore and Freeman Lan for helpful scientific discussions.This work was supported by the UCSF Division of Hematology-Oncology Perkins Philanthropy(PLP) the National Science Foundation CAREER Award(Grant Number DBI-1253293) the National Institutes of Health(NIH)(Grant Numbers HG007233-01,R01-EB019453-01,and DP2-AR068129-01) the Defense Advanced Research Projects Agency Living Foundries Program(Contract Numbers HR0011-12-C-0065,N66001-12-C-4211,and HR0011-12-C-0066) Fold F(x)Program(Contract Number DE-AC02-05CH11231)
主 题:amplification bias copy number variation ddMDA droplet microfluidics multiple displacement amplification
摘 要:Uniform amplification of low-input DNA is important for applications across biology,including single-cell genomics,forensic science,and microbial and viral ***,the requisite biochemical amplification methods are prone to bias,skewing sequence proportions and obscuring signals relating to copy *** droplet multiple displacement amplification enables uniform amplification but requires expert knowledge of microfluidics to generate monodisperse *** addition,existing microfluidic methods are tedious and labor intensive for preparing many ***,we introduce rapid-emulsification multiple displacement amplification,a method to generate monodisperse droplets with a hand-held syringe and hierarchical droplet *** conventional microfluidic devices require 10 min to emulsify a sample,our system requires tens of seconds and yields data of equivalent *** demonstrate the approach by using it to accurately measure copy number variation(CNV)in single cancer cells.