Suppr超能文献

π-人蛋白质组浏览器:人体蛋白质组导航器

π-HuB: the proteomic navigator of the human body.

作者信息

He Fuchu, Aebersold Ruedi, Baker Mark S, Bian Xiuwu, Bo Xiaochen, Chan Daniel W, Chang Cheng, Chen Luonan, Chen Xiangmei, Chen Yu-Ju, Cheng Heping, Collins Ben C, Corrales Fernando, Cox Jürgen, E Weinan, Van Eyk Jennifer E, 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 J R, Hermjakob Henning, Hunter Tony, Iyer Narayanan Gopalakrishna, Jiang Ying, Jimenez Connie R, Joshi Lokesh, Kelleher Neil L, 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 L, Nice Edouard, Ning Guang, Omenn Gilbert S, Overall Christopher M, Palmisano Giuseppe, Peng Yaojin, Pineau Charles, Poon Terence Chuen Wai, Purcell Anthony W, Qiao Jie, Reddel Roger R, Robinson Phillip J, 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

机构信息

State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China.

International Academy of Phronesis Medicine (Guangdong), Guangdong, China.

出版信息

Nature. 2024 Dec;636(8042):322-331. doi: 10.1038/s41586-024-08280-5. Epub 2024 Dec 11.

Abstract

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.

摘要

人体包含数万亿个细胞,这些细胞被分类为特定的细胞类型,具有多样的形态和功能。此外,同一类型的细胞在个体的生命周期内,在其体内可能呈现出不同的状态。在人类有机体及其众多潜在状态的背景下理解蛋白质组的复杂性,是理解人类生物学的必要条件,但这些复杂性既无法从基因组中预测,也无法通过现有技术进行系统测量。蛋白质组学技术和计算科学的最新进展,现在为以前所未有的分辨率和规模研究人体复杂生物学提供了机会。在这里,我们介绍一项名为π-HuB(人体蛋白质组导航器)的大型科学计划。π-HuB项目的目标是:(1)生成并利用多模态蛋白质组数据集,以增进我们对人类生物学的理解;(2)促进疾病风险评估和诊断;(3)发现新的药物靶点;(4)优化合适的治疗策略;(5)实现智能医疗,从而开创蛋白质组学驱动的实用医学新时代。这一宏伟使命将由全球跨学术、产业和政府部门的多学科研究团队组成的国际协作力量来实施。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验