Dongxue Wang, Wendong Chen, Linhai Xie, Ying Xu, Chuanxi Huang, Yuanyuan Liu, Xi Wang, Xiaowei Huang, Keren Zhang, Mengting Pan, Shaozhen Wang, Jing Yang, Liujun Tang, Ruijun Tian, Fuchu He
Data-driven biology requires comprehensive and high-quality data at all molecular levels. Liquid chromatography-mass spectrometry (LC-MS)-based proteomics has emerged as the leading method for comprehensively identifying and quantifying proteins in biological samples. Many studies have highlighted the value of having large-scale MS-based proteomic datasets (i.e., from hundreds to more than one thousand measurements) to promote our understanding of human biology and various complex diseases. These efforts have therefore inspired the international community to launch the π-HuB (The Proteomic Navigator of the Human Body) project 1 , aiming to transform biology and medicine in the way that the Human Genome Project did 2 .