π-HuB: the proteomic navigator of the human body
Artículo
Te invitamos a leer el artículo "π-HuB: the proteomic navigator of the human body" publicado en Nature, a cargo del profesor investigador Dr. Robert Winkler y su equipo de trabajo de la UGA.
Autores: Fuchu He, Ruedi Aebersold / Mark S. Baker / Xiuwu Bian, / Xiaochen Bo / Daniel W. Chan / Cheng Chang / Luonan Chen / Xiangmei Chen / Yu-Ju Chen / Heping Cheng / Ben C. Collins / Fernando Corrales / Jürgen Cox / Weinan E, / Jennifer E. Van Eyk / Jia Fan / Pouya Faridi / Daniel Figeys / George Fu Gao / Wen Gao / Zu-Hua Gao / Keisuke Goda / Wilson Wen Bin Goh / Dongfeng Gu / Changjiang Guo / Tiannan Guo, Yuezhong He / Albert J. R. Heck / Henning Hermjakob / Tony Hunter / Narayanan Gopalakrishna Iyer / Ying Jiang / Connie R. Jimenez / Lokesh Joshi / Neil L. Kelleher / Ming Li / Yang Li / Qingsong Lin / Cui Hua Liu / Fan Liu / Guang-Hui Liu / Yansheng Liu / Zhihua Liu / Teck Yew Low / Ben Lu / Matthias Mann / Anming Meng / Robert L. Moritz / Edouard Nice / Guang Ning / Gilbert S. Omenn / Christopher M. Overall / Giuseppe Palmisano / Yaojin Peng / Charles Pineau / Terence Chuen Wai Poon / Anthony W. Purcell / Jie Qiao, Roger R. Reddel / Phillip J. Robinson / Paola Roncada / Chris Sander / Jiahao Sha / Erwei Song / Sanjeeva Srivastava / Aihua Sun, Siu Kwan Sze / Chao Tang, Liujun Tang / Ruijun Tian / Juan Antonio Vizcaíno / Chanjuan Wang / Chen Wang / Xiaowen Wang / Xinxing Wang / Yan Wang / Tobias Weiss / Mathias Wilhelm / Robert Winkler / Bernd Wollscheid / Limsoon Wong / Linhai Xie / Wei Xie / Tao Xu / Tianhao Xu / Liying Yan / Jing Yang / Xiao Yang / John Yates / Tao Yun / Qiwei Zhai / Bing Zhang / Hui Zhang / Lihua Zhang / Lingqiang Zhang / Pingwen Zhang / Yukui Zhang / Yu Zi Zheng / Qing Zhong / Yunping Zhu / The π-HuB Consortium
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Advanced Genomics Unit, Cinvestav, km 9.6 Libr. Nte. Irapuato-León, Irapuato, 36824, Gto., México
Felicitamos al estudiantado y profesorado que contribuyeron en esta investigación por su arduo trabajo.
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.