A deep profiler's guide to cytometry

被引:510
作者
Bendall, Sean C. [2 ]
Nolan, Garry P. [2 ]
Roederer, Mario [1 ]
Chattopadhyay, Pratip K. [1 ]
机构
[1] NIAID, ImmunoTechnol Sect, Vaccine Res Ctr, NIH, Bethesda, MD 20892 USA
[2] Stanford Univ, Baxter Lab Stem Cell Biol, Dept Microbiol & Immunol, Stanford, CA 94305 USA
关键词
fluorescence; inductively coupled plasma mass spectrometry; single cell analysis; immunophenotyping; data analysis; ELEMENT-TAGGED IMMUNOASSAY; FLOW-CYTOMETRY; MASS CYTOMETRY; CYTOKINE EXPRESSION; MULTIPLEX BIOASSAY; T-CELLS; POLYMER; IDENTIFICATION; PHYCOERYTHRIN; LYMPHOCYTES;
D O I
10.1016/j.it.2012.02.010
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
In recent years, advances in technology have provided us with tools to quantify the expression of multiple genes in individual cells. The ability to measure simultaneously multiple genes in the same cell is necessary to resolve the great diversity of cell subsets, as well as to define their function in the host. Fluorescence-based flow cytometry is the benchmark for this; with it, we can quantify 18 proteins per cell, at >10 000 cells/s. Mass cytometry is a new technology that promises to extend these capabilities significantly. Immunophenotyping by mass spectrometry provides the ability to measure >36 proteins at a rate of 1000 cells/s. We review these cytometric technologies, capable of high-content, high-throughput single-cell assays.
引用
收藏
页码:323 / 332
页数:10
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