π-HuB: the proteomic navigator of the human body
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He, Fuchu | Aebersold, Ruedi | Baker, Mark | Bian, Xiuwu | Bo, Xiaochen | Chan, Daniel | Chang, Cheng | Chen, Luonan | Chen, Xiangmei | Chen, Yu-Ju | Cheng, Heping | Collins, Ben | Corrales, Fernando | Cox, Jürgen | E, Weinan | van Eyk, Jennifer | Fan, Jia | Faridi, Pouya | Figeys, Daniel | Gao, George Fu | Gao, Wen | Gao, Zu-Hua | Goda, Keisuke | Goh, Wilson Wen Bin | Gu, Dongfeng | Guo, Changjiang | Guo, Tiannan | He, Yuezhong | Heck, Albert | Hermjakob, Henning | Hunter, Tony | Iyer, Narayanan Gopalakrishna | Jiang, Ying | Jimenez, Connie | Joshi, Lokesh | Kelleher, Neil | Li, Ming | Li, Yang | Lin, Qingsong | Liu, Cui Hua | Liu, Fan | Liu, Guang-Hui | Liu, Yansheng | Liu, Zhihua | Low, Teck Yew | Lu, Ben | Mann, Matthias | Meng, Anming | Moritz, Robert | Nice, Edouard | Ning, Guang | Omenn, Gilbert | Overall, Christopher | Palmisano, Giuseppe | Peng, Yaojin | Pineau, Charles | Poon, Terence Chuen Wai | Purcell, Anthony | Qiao, Jie | Reddel, Roger | Robinson, Phillip | Roncada, Paola | Sander, Chris | Sha, Jiahao | Song, Erwei | Srivastava, Sanjeeva | Sun, Aihua | Sze, Siu Kwan | Tang, Chao | Tang, Liujun | Tian, Ruijun | Vizcaíno, Juan Antonio | Wang, Chanjuan | Wang, Chen | Wang, Xiaowen | Wang, Xinxing | Wang, Yan | Weiss, Tobias | Wilhelm, Mathias | Winkler, Robert | Wollscheid, Bernd | Wong, Limsoon | Xie, Linhai | Xie, Wei | Xu, Tao | Xu, Tianhao | Yan, Liying | Yang, Jing | Yang, Xiao | Yates, John | Yun, Tao | Zhai, Qiwei | Zhang, Bing | Zhang, Hui | Zhang, Lihua | Zhang, Lingqiang | Zhang, Pingwen | Zhang, Yukui | Zheng, Yu Zi | Zhong, Qing | Zhu, Yunping | Tan, Chris Soon Heng | Gao, Mingxia | Gao, Qiang | Gao, Yushun | Guo, Xuejiang | He, Jie | He, Jun | He, Qing-Yu | Hou, Jinlin | Huang, Canhua | Jia, Chenxi | Kuster, Bernhard | Li, Chaoying | Li, Dong | Li, Yan | Li, Yanchang | Liu, Siqi | Liu, Xiaonan | Liu, Ya | Liu, Zhongyang | Lu, Haojie | Nie, Yongzhan | Okada, Mariko | Qian, Guojun | Qin, Hongqiang | Rao, Yu | Rao, Zihe | Ren, Xianwen | Ren, Yan | Shen, Feng | Shen, Lin | Su, Shicheng | Tan, Minjia | Tang, Ben Zhong | Tao, Sheng-Ce | Wang, Jian | Wang, Tong | Wei, Liming | Wong, Catherine | Xie, Xiaoliang Sunney | Xu, Li | Xu, Ping | Yang, Huanming | Yang, Jianjun | Ye, Mingliang | Ying, Wantao | Yu, Xiaobo | Yuan, Yaxiang | Zeng, Qingcun | Zhan, Qimin | Zhang, Xiaofei | Zhang, Xu | Zhang, Ying | Zhong, Nan-Shan | Zhou, Feng | Zhu, Yi | Zhang, Zemin
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CCSD ; Nature Publishing Group -
International audience.
The human body contains trillions of cells, classified into specific cell types, with diverse morphologies and functions. In addition, cells of the same type can assume different states within an individual's body during their lifetime. Understanding the complexities of the proteome in the context of a human organism and its many potential states is a necessary requirement to understanding human biology, but these complexities can neither be predicted from the genome, nor have they been systematically measurable with available technologies. Recent advances in proteomic technology and computational sciences now provide opportunities to investigate the intricate biology of the human body at unprecedented resolution and scale. Here we introduce a big-science endeavour called π-HuB (proteomic navigator of the human body). The aim of the π-HuB project is to (1) generate and harness multimodality proteomic datasets to enhance our understanding of human biology; (2) facilitate disease risk assessment and diagnosis; (3) uncover new drug targets; (4) optimize appropriate therapeutic strategies; and (5) enable intelligent healthcare, thereby ushering in a new era of proteomics-driven phronesis medicine. This ambitious mission will be implemented by an international collaborative force of multidisciplinary research teams worldwide across academic, industrial and government sectors.
