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
Liujun Tang
Ruijun Tian
Fuchu He
Publication typePosted Content
Publication date2025-06-04
Abstract
Summary

The π-HuB project requires proteomic measurements of millions of low-input samples that are challenging with current technology. Here, we introduce a pilot π-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 π-HuB.

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