Driving Single Cell Proteomics Forward with Innovation

被引:35
|
作者
Slavov, Nikolai [1 ,2 ]
机构
[1] Northeastern Univ, Dept Bioengn, Boston, MA 02115 USA
[2] Northeastern Univ, Barnett Inst, Boston, MA 02115 USA
基金
美国国家卫生研究院;
关键词
single-cell proteomics; data acquisition; data interpretation; peptide identity propagation; ultrasensitive proteomics; MASS;
D O I
10.1021/acs.jproteome.1c00639
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Current single-cell mass spectrometry (MS) methods can quanti thousands of peptides per single cell while detecting peptide-like features that may support the quantification of 10-fold more peptides. This 10-fold gain might be attained by innovations in data acquisition and interpretation even while using existing instrumentation. This perspective discusses possible directions for such innovations with the aim to stimulate community efforts for increasing the coverage and quantitative accuracy of single proteomics while simultaneously decreasing missing data. Parallel improvements in instrumentation, sample preparation, and peptide separation will afford additional gains. Together, these synergistic routes for 0 innovation project a rapid growth in the capabilities of MS based single-cell protein analysis. These gains will directly empower applications of single-cell proteomics to biomedical research.
引用
收藏
页码:4915 / 4918
页数:4
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