范围(计算机科学)
数据科学
计算机科学
光学(聚焦)
可扩展性
蛋白质组学
集合(抽象数据类型)
计算生物学
系统工程
纳米技术
工程类
系统生物学
生化工程
新兴技术
蛋白质表达
风险分析(工程)
标识
DOI:10.1146/annurev-biophys-021424-011450
摘要
Over the last decade, proteomics analysis of single cells by mass spectrometry transitioned from an uncertain possibility to a set of robust and rapidly advancing technologies supporting the accurate quantification of thousands of proteins. We review the major drivers of this progress, from establishing feasibility to powerful and increasingly scalable methods. We focus on the trade-offs and synergies of different technological solutions within a coherent conceptual framework, which projects considerable room both for throughput scaling and for extending the analysis scope to functional protein measurements. We highlight the potential of these technologies to support the development of mechanistic biophysical models and to help uncover new principles.
科研通智能强力驱动
Strongly Powered by AbleSci AI