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Transformative Opportunities for Single-Cell Proteomics
被引:95
|作者:
Specht, Harrison
[1
]
Slavov, Nikolai
[1
,2
]
机构:
[1] Northeastern Univ, Dept Bioengn, Boston, MA 02115 USA
[2] Northeastern Univ, Dept Biol, Boston, MA 02115 USA
基金:
美国国家卫生研究院;
关键词:
single-cell mass-spectrometry;
single-cell analysis;
ultrasensitive proteomics;
systems biology;
disease diagnosis;
sample preparation;
Simpson's paradox;
network inference;
causal inference;
counting noise;
STOCHASTIC GENE-EXPRESSION;
MASS-SPECTROMETRY;
SAMPLE PREPARATION;
PROTEIN;
QUANTIFICATION;
IDENTIFICATION;
CYTOMETRY;
PEPTIDES;
DATABASE;
GENOME;
D O I:
10.1021/acs.jproteome.8b00257
中图分类号:
Q5 [生物化学];
学科分类号:
071010 ;
081704 ;
摘要:
Many pressing medical challenges, such as diagnosing disease, enhancing directed stem-cell differentiation, and classifying cancers, have long been hindered by limitations in our ability to quantify proteins in single cells. Mass spectrometry (MS) is poised to transcend these limitations by developing powerful methods to routinely quantify thousands of proteins and proteoforms across many thousands of single cells. We outline specific technological developments and ideas that can increase the sensitivity and throughput of single-cell MS by orders of magnitude and usher in this new age. These advances will transform medicine and ultimately contribute to understanding biological systems on an entirely new level.
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页码:2565 / 2571
页数:7
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