计算生物学
仿形(计算机编程)
蛋白质组
单细胞分析
基因组
转录组
生物
生物信息学
细胞
计算机科学
遗传学
基因
基因表达
操作系统
作者
Javier A. Alfaro,Peggy R. Bohländer,Mingjie Dai,Mike Filius,Cecil J. Howard,Xander F. van Kooten,Shilo Ohayon,Adam Pomorski,Sonja Schmid,Aleksei Aksimentiev,Eric V. Anslyn,Georges Bedran,Chan Cao,Mauro Chinappi,Étienne Coyaud,Cees Dekker,Gunnar Dittmar,Nicholas Drachman,Rienk Eelkema,David R. Goodlett
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2021-06-01
卷期号:18 (6): 604-617
被引量:308
标识
DOI:10.1038/s41592-021-01143-1
摘要
Single-cell profiling methods have had a profound impact on the understanding of cellular heterogeneity. While genomes and transcriptomes can be explored at the single-cell level, single-cell profiling of proteomes is not yet established. Here we describe new single-molecule protein sequencing and identification technologies alongside innovations in mass spectrometry that will eventually enable broad sequence coverage in single-cell profiling. These technologies will in turn facilitate biological discovery and open new avenues for ultrasensitive disease diagnostics.
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