Spatial distribution of the proteome in the human body and in cancers
Abstract
Abstract A detailed, spatially resolved quantitative map of the human proteome is essential for a deeper understanding of human biology and disease 1–4 . Here we present a comprehensive human proteomic landscape, generated by profiling more than 13,000 proteins across 2,856 samples using data-independent acquisition mass spectrometry. The dataset spans 58 major tissue types, 251 specific tissue subtypes and 25 distinct carcinomas. This resource enables the depiction of spatially resolved proteome trajectories across tissue types and physiological states, including fetal, tumour, adjacent non-tumour and healthy adult tissue, thereby providing insight into both developmental processes and oncogenic progression. Furthermore, quantitative proteomics comparisons across diverse tissue types and states facilitate the indication of organ-specific toxicity, the identification of repurposable anticancer drug candidates and the prioritization of therapeutic targets for cancers. This study establishes a quantitative resource for navigating the proteome in the human body and in common cancers.
Article Details
Authors (40)
Liang Yue
Wenhao Jiang
Sainan Li
Meng Luo
Ning Fan
Xiaolu Zhan
Rui Sun
Honghan Cheng
Zhangzhi Xue
Tong Liu
Qianhe Zhou
Kexin Chen
Tian Lu
Fang Guo
Dongwei Li
Weigang Ge
Zongxiang Nie
Mengge Lyu
Jun A
Yingrui Wang
Yingdan Chen
Zhenhai Fu
Nan Xiang
Lu Li
Fengchao Yu
Guo Ci Teo
Alexey I. Nesvizhskii
Meng Wang
Michael P. Snyder
Ben C. Collins
Qi Xiao
Ruedi Aebersold
Fei Xu
Hui Yang
Sijia Zhang
Yi Han
Yi Zhu
Yong Ji
Yan Li
Tiannan Guo