π-HuB: the proteomic navigator of the human body

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; Chen Wang; Yan Wang; Jing Yang; Yu Zi Zheng; π-HuB Consortium

doi:10.1038/s41586-024-08280-5

π-HuB: the proteomic navigator of the human body

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, Chen Wang, Yan Wang, Jing Yang, Yu Zi Zheng, π-HuB Consortium

School of Biological Sciences

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

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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
Pages (from-to)	322-331
Number of pages	10
Journal	Nature
Volume	636
Issue number	8042
Early online date	11 Dec 2024
DOIs	https://doi.org/10.1038/s41586-024-08280-5
Publication status	Published - 12 Dec 2024

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This work is licensed under Queen’s Research Publications and Copyright Policy.

Keywords

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

UN SDGs

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

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π-HuB: the proteomic navigator of the human body
Copyright 2024 the authors. This is an accepted manuscript distributed under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Accepted author manuscript, 1.5 MBLicence: CC BY

Cite this

@article{2fb80a4c5d664ac5b399c6557e64eaf8,

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.",

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

author = "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 Chen Wang and Yan Wang and Jing Yang and Zheng, \{Yu Zi\} and \{π-HuB Consortium\}",

year = "2024",

month = dec,

day = "12",

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

language = "English",

volume = "636",

pages = "322--331",

journal = "Nature",

issn = "0028-0836",

publisher = "Nature Research",

number = "8042",

}

He, F, Aebersold, R, Baker, MS, Bian, X, Bo, X, Chan, DW, Chang, C, Chen, L, Chen, X, Chen, Y-J, Cheng, H, Collins, BC, Corrales, F, Cox, J, E, W, Van Eyk, JE, Fan, J, Faridi, P, Figeys, D, Gao, GF, Gao, W, Gao, Z-H, Goda, K, Goh, WWB, Gu, D, Guo, C, Guo, T, He, Y, Heck, AJR, Hermjakob, H, Hunter, T, Iyer, NG, Jiang, Y, Jimenez, CR, Joshi, L, Kelleher, NL, Li, M, Li, Y, Lin, Q, Liu, CH, Liu, F, Liu, G-H, Liu, Y, Liu, Z, Low, TY, Lu, B, Wang, C, Wang, Y, Yang, J, Zheng, YZ & π-HuB Consortium 2024, 'π-HuB: the proteomic navigator of the human body', Nature, vol. 636, no. 8042, pp. 322-331. https://doi.org/10.1038/s41586-024-08280-5

TY - JOUR

T1 - π-HuB: the proteomic navigator of the human body

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 - Wang, Chen

AU - Wang, Yan

AU - Yang, Jing

AU - Zheng, Yu Zi

AU - π-HuB Consortium

PY - 2024/12/12

Y1 - 2024/12/12

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 - Humans

KW - Proteomics

KW - Proteome/metabolism

KW - Human Body

KW - Risk Assessment

KW - Precision Medicine/methods

KW - Big Data

KW - International Cooperation

KW - Datasets as Topic

U2 - 10.1038/s41586-024-08280-5

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

ER -

π-HuB: the proteomic navigator of the human body

Abstract

Publications and Copyright Policy

Keywords

UN SDGs

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