Digital microfluidic isolation of single cells for -Omics.
Digital microfluidic isolation of single cells for -Omics.
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DOI：
10.1038/s41467-020-19394-5
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发表时间：
2020-11-11
影响因子：
16.6
通讯作者：
Wheeler AR
中科院分区：
文献类型：
--
作者：
Lamanna J;Scott EY;Edwards HS;Chamberlain MD;Dryden MDM;Peng J;Mair B;Lee A;Chan C;Sklavounos AA;Heffernan A;Abbas F;Lam C;Olson ME;Moffat J;Wheeler AR
我们介绍了用于OMICS的单细胞数字微流控分离(DISCO)，该平台允许用户从有限的初始样本大小中选择感兴趣的特定细胞，并将单细胞测序数据与其基于免疫荧光的表型相连接。具体地说，DISCO结合了数字微流控、激光细胞裂解和人工智能驱动的图像处理来收集来自不同物种的单细胞内容物，然后通过下一代测序分析单细胞基因组和转录本，并通过纳米流液相色谱和串联质谱仪分析蛋白质组。这里描述的结果证实了DISCO在与现有技术水平相当或相对于现有技术水平更强的水平上进行测序的实用性，能够在单核苷酸变异水平识别特征。DISCO的选择性、背景和责任的独特水平表明，对任何具有背景依赖性的稀有细胞群体的深入分析具有潜在的实用价值。多组学方法是深入了解细胞状态的有效方法。在这里，作者提出了DISCO，结合数字微流体、激光细胞裂解和人工智能驱动的图像处理来分析混合种群中的单细胞基因组、转录组和蛋白质组。
We introduce Digital microfluidic Isolation of Single Cells for -Omics (DISCO), a platform that allows users to select particular cells of interest from a limited initial sample size and connects single-cell sequencing data to their immunofluorescence-based phenotypes. Specifically, DISCO combines digital microfluidics, laser cell lysis, and artificial intelligence-driven image processing to collect the contents of single cells from heterogeneous populations, followed by analysis of single-cell genomes and transcriptomes by next-generation sequencing, and proteomes by nanoflow liquid chromatography and tandem mass spectrometry. The results described herein confirm the utility of DISCO for sequencing at levels that are equivalent to or enhanced relative to the state of the art, capable of identifying features at the level of single nucleotide variations. The unique levels of selectivity, context, and accountability of DISCO suggest potential utility for deep analysis of any rare cell population with contextual dependencies. Multi-Omic approaches are a powerful way for obtaining in-depth understanding of a cell’s state. Here the authors present DISCO, combining digital microfluidics, laser cell lysis, and artificial intelligence-driven image processing to analyze single-cell genomes, transcriptomes and proteomes in a mixed population.
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影响因子：
5.6
作者：
Hodne K;Weltzien FA
通讯作者：
Weltzien FA
影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
Fobel, Ryan;Fobel, Christian;Wheeler, Aaron R.
通讯作者：
Wheeler, Aaron R.
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通讯作者：
Lundeberg J
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影响因子：
3.1
作者：
Liu, Bo;Liu, Jingping;Cheng, Quan
通讯作者：
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