蛋白质组学
工作流程
可扩展性
计算生物学
计算机科学
蛋白质组
定量蛋白质组学
仿形(计算机编程)
化学
蛋白质表达
生物信息学
生物医学
鉴定(生物学)
吉祥物
吞吐量
生物信息学
系统生物学
灵活性(工程)
蛋白质稳定性
生物
自动化
作者
Zhen Liu,Wenbo Dong,Lei Gu,Ruihan Ge,Xinlei Zeng,Jingwen Deng,Haoran Zhang,Zilu Ye
标识
DOI:10.1101/2025.11.03.686420
摘要
Abstract Single-cell proteomics (SCP) enables direct measurement of protein heterogeneity but remains constrained by throughput and limited applicability to primary tissues. Here, we present an integrated workflow developed to address both challenges. We engineered SPRINT, an AI-powered bioprinting platform that prepares more than 10,000 single cells per day, over tenfold faster than existing systems, while maintaining stability and enabling identification of over 6,000 proteins from individual HeLa cells. To expand analytical capacity, we further designed a dual-spray tandem direct injection (TDI) LC system that parallelizes non-analytical steps with peptide separation, doubling MS utilization efficiency and enabling 168 label-free SCP runs per day without sensitivity loss. Together with optimized tissue-dissociation protocols, this integrated workflow enabled creation of the first mouse tissue-derived SCP atlas, profiling >1,000 single cells across six organs. These advances establish SCP as a scalable platform ready for broad biological and biomedical applications.
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