Towards Unmanned Proteomics Data Generation: A Fully Automated Sample-to-Data System for Proteomic Experiments

Dongxue Wang; Wendong Chen; Linhai Xie; Ying Xu; Chuanxi Huang; Yuanyuan Liu; Xi Wang; Xiaowei Huang; Keren Zhang; Mengting Pan; Shaozhen Wang; Baoyi Qin; Yun Yang; Jing Yang; 唐留军; Ruijun Tian; Fuchu He

doi:10.1038/s41421-025-00844-7

BiochemistryCell DiscoveryOct 29, 2025

Peer-reviewed journal article

Towards Unmanned Proteomics Data Generation: A Fully Automated Sample-to-Data System for Proteomic Experiments

Dongxue Wang iD, Wendong Chen iD, Linhai Xie iD, Ying Xu iD, Chuanxi Huang, Yuanyuan Liu iD, Xi Wang iD, Xiaowei Huang iD, Keren Zhang iD, Mengting Pan, Shaozhen Wang, Baoyi Qin, Yun Yang iD, Jing Yang iD, 唐留军, Ruijun Tian iD, Fuchu He iD

Abstract

The {pi}-HuB project requires proteomic measurements of millions of low-input samples that are challenging with current technology. Here, we introduce a pilot {pi}-HuB data factory that features a fully automated sample-to-data system to enable high-throughput digitization of human samples. Our platform, as a proof-of-concept towards unmanned proteomics, was demonstrated to show longitudinal robustness and applied for spatial proteomics and the profiling of plasma and cell lines, thereby serving as the workhorse to drive {pi}-HuB.

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