Highly multiplexed quantitation of gene expression on single cells

被引:51
|
作者
Dominguez, Maria H. [1 ]
Chattopadhyay, Pratip K. [1 ]
Ma, Steven [2 ]
Lamoreaux, Laurie [2 ]
McDavid, Andrew [3 ]
Finak, Greg [3 ]
Gottardo, Raphael [3 ]
Koup, Richard A. [2 ]
Roederer, Mario [1 ]
机构
[1] NIAID, ImmunoTechnol Sect, Vaccine Res Ctr, NIH, Bethesda, MD 20892 USA
[2] NIAID, Immunol Lab, Vaccine Res Ctr, NIH, Bethesda, MD 20892 USA
[3] Univ Washington, Fred Hutchinson Canc Res Ctr, Vaccine & Infect Dis Div, Div Publ Hlth Sci, Seattle, WA 98195 USA
基金
比尔及梅琳达.盖茨基金会;
关键词
Single cell; Gene expression; T-cell activation; qPCR; T-CELLS; HIV-INFECTION; VACCINE; QUALITY;
D O I
10.1016/j.jim.2013.03.002
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Highly multiplexed, single-cell technologies reveal important heterogeneity within cell populations. Recently, technologies to simultaneously measure expression of 96 (or more) genes from a single cell have been developed for immunologic monitoring. Here, we report a rigorous, optimized, quantitative methodology for using this technology. Specifically: we describe a unique primer/probe qualification method necessary for quantitative results; we show that primers do not compete in highly multiplexed amplifications; we define the limit of detection for this assay as a single mRNA transcript; and, we show that the technical reproducibility of the system is very high. We illustrate two disparate applications of the platform: a "bulk" approach that measures expression patterns from 100 cells at a time in high throughput to define gene signatures, and a single-cell approach to define the coordinate expression patterns of multiple genes and reveal unique subsets of cells. Published by Elsevier B.V.
引用
收藏
页码:133 / 145
页数:13
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