Single-Cell Proteomics

被引:116
作者
Vistain, Luke F. [1 ,2 ]
Tay, Savas [1 ,2 ]
机构
[1] Univ Chicago, Pritzker Sch Mol Engn, Chicago, IL 60637 USA
[2] Univ Chicago, Inst Genom & Syst Biol, Chicago, IL 60637 USA
关键词
PROTEIN-DETECTION; T-CELLS; QUANTIFICATION; TISSUE; MOLECULES; CHIP; HETEROGENEITY; VARIABILITY; CYTOMETRY; EFFECTOR;
D O I
10.1016/j.tibs.2021.01.013
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The inability to make broad, minimally biased measurements of a cell's proteome stands as a major bottleneck for understanding how gene expression translates into cellular phenotype. Unlike sequencing for nucleic acids, there is no dominant method for making single-cell proteomic measurements. Instead, methods typically focus on either absolute quantification of a small number of proteins or highly multiplexed protein measurements. Advances in microfluidics and output encoding have led to major improvements in both aspects. Here, we review the most recent progress that has enabled hundreds of protein measurements and ultrahigh-sensitivity quantification. We also highlight emerging technologies such as single-cell mass spectrometry that may enable unbiased measurement of cellular proteomes.
引用
收藏
页码:661 / 672
页数:12
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