π-HuB: the proteomic navigator of the human body

π-HuB Consortium

doi:10.1038/s41586-024-08280-5

π-HuB: the proteomic navigator of the human body

π-HuB Consortium

Research output: Contribution to journal › Review article › peer-review

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.

Original language	English
Article number	5301
Pages (from-to)	322-331
Number of pages	10
Journal	Nature
Volume	636
Issue number	8042
DOIs	https://doi.org/10.1038/s41586-024-08280-5
Publication status	Published - Dec 2024

Bibliographical note

Publisher Copyright:
© Springer Nature Limited 2024.

Funding

This work was supported by the Ministry of Science and Technology of the People\u2019s Republic of China (grant no. 2020YFE0202200), the National Natural Science Foundation of China (no. 32088101), National Institutes of Health grants P30ES017885-11-S1 and U24CA271037 (G.S.O.) and the Big-Science Infrastructure of Phronesis Medicine, of which the pilot phase is funded by Guangzhou Development District.

Funders	Funder number
Guangzhou Development District
Ministry of Science and Technology of the People's Republic of China	2020YFE0202200
National Natural Science Foundation of China	32088101
National Institutes of Health	P30ES017885-11-S1, U24CA271037

Keywords

Big Data
Datasets as Topic
Human Body
Humans
International Cooperation
Precision Medicine/methods
Proteome/metabolism
Proteomics
Risk Assessment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1038/s41586-024-08280-5

s41586-024-08280-5Final published version, 1.34 MBLicence: Taverne

Cite this

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title = "π-HuB: the proteomic navigator of the human body",

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.",

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author = "\{π-HuB Consortium\} and Fuchu He and Ruedi Aebersold and Baker, \{Mark S\} and Xiuwu Bian and Xiaochen Bo and Chan, \{Daniel W\} and Cheng Chang and Luonan Chen and Xiangmei Chen and Yu-Ju Chen and Heping Cheng and Collins, \{Ben C\} and Fernando Corrales and J{\"u}rgen Cox and Weinan E and \{Van Eyk\}, \{Jennifer E\} and Jia Fan and Pouya Faridi and Daniel Figeys and Gao, \{George Fu\} and Wen Gao and Zu-Hua Gao and Keisuke Goda and Goh, \{Wilson Wen Bin\} and Dongfeng Gu and Changjiang Guo and Tiannan Guo and Yuezhong He and Heck, \{Albert J R\} and Henning Hermjakob and Tony Hunter and Iyer, \{Narayanan Gopalakrishna\} and Ying Jiang and Jimenez, \{Connie R\} and Lokesh Joshi and Kelleher, \{Neil L\} and Ming Li and Yang Li and Qingsong Lin and Liu, \{Cui Hua\} and Fan Liu and Guang-Hui Liu and Yansheng Liu and Zhihua Liu and Low, \{Teck Yew\} and Ben Lu and Matthias Mann and Anming Meng and Moritz, \{Robert L\} and Edouard Nice",

note = "Publisher Copyright: {\textcopyright} Springer Nature Limited 2024.",

year = "2024",

month = dec,

doi = "10.1038/s41586-024-08280-5",

language = "English",

volume = "636",

pages = "322--331",

journal = "Nature",

issn = "0028-0836",

publisher = "Nature Research",

number = "8042",

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AU - π-HuB Consortium

AU - He, Fuchu

AU - Aebersold, Ruedi

AU - Baker, Mark S

AU - Bian, Xiuwu

AU - Bo, Xiaochen

AU - Chan, Daniel W

AU - Chang, Cheng

AU - Chen, Luonan

AU - Chen, Xiangmei

AU - Chen, Yu-Ju

AU - Cheng, Heping

AU - Collins, Ben C

AU - Corrales, Fernando

AU - Cox, Jürgen

AU - E, Weinan

AU - Van Eyk, Jennifer E

AU - Fan, Jia

AU - Faridi, Pouya

AU - Figeys, Daniel

AU - Gao, George Fu

AU - Gao, Wen

AU - Gao, Zu-Hua

AU - Goda, Keisuke

AU - Goh, Wilson Wen Bin

AU - Gu, Dongfeng

AU - Guo, Changjiang

AU - Guo, Tiannan

AU - He, Yuezhong

AU - Heck, Albert J R

AU - Hermjakob, Henning

AU - Hunter, Tony

AU - Iyer, Narayanan Gopalakrishna

AU - Jiang, Ying

AU - Jimenez, Connie R

AU - Joshi, Lokesh

AU - Kelleher, Neil L

AU - Li, Ming

AU - Li, Yang

AU - Lin, Qingsong

AU - Liu, Cui Hua

AU - Liu, Fan

AU - Liu, Guang-Hui

AU - Liu, Yansheng

AU - Liu, Zhihua

AU - Low, Teck Yew

AU - Lu, Ben

AU - Mann, Matthias

AU - Meng, Anming

AU - Moritz, Robert L

AU - Nice, Edouard

PY - 2024/12

Y1 - 2024/12

N2 - 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.

AB - 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.

KW - Big Data

KW - Datasets as Topic

KW - Human Body

KW - Humans

KW - International Cooperation

KW - Precision Medicine/methods

KW - Proteome/metabolism

KW - Proteomics

KW - Risk Assessment

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DO - 10.1038/s41586-024-08280-5

M3 - Review article

C2 - 39663494

SN - 0028-0836

VL - 636

SP - 322

EP - 331

JO - Nature

JF - Nature

IS - 8042

M1 - 5301

ER -

π-HuB: the proteomic navigator of the human body

Abstract

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

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Correction to: π-HuB: the proteomic navigator of the human body (Nature, (2024), 636, 8042, (322-331), 10.1038/s41586-024-08280-5)

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