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Peer-reviewedCC BYNature

Spatial distribution of the proteome in the human body and in cancers

  • Liang Yue1,2,3
  • Wenhao Jiang1,2,3
  • Sainan Li1,2,3
  • Meng Luo4
  • Ning Fan4
  • Xiaolu Zhan5
  • Rui Sun1,2,3
  • Honghan Cheng1,2,3
  • Zhangzhi Xue1,2,3
  • Tong Liu5
  • Qianhe Zhou5
  • Kexin Chen5
28 more authors
  • Tian Lu1,2,3
  • Fang Guo6,7
  • Dongwei Li8,9
  • Weigang Ge10
  • Zongxiang Nie1,2,3
  • Mengge Lyu1,2,3
  • Jun A1,2,3
  • Yingrui Wang1,2,3
  • Ying-Dan Chen10
  • Zhenhai Fu10
  • Nan Xiang1,2,3
  • Lu Li1,2,3
  • Fengchao Yu11
  • Guo Ci Teo11
  • Alexey I. Nesvizhskii11,12
  • Meng Wang12,13
  • Michael P. Snyder14
  • Ben C. Collins15
  • Qi Xiao1,2,3
  • Ruedi H. Aebersold16,17
  • Fei Xu18
  • Hui Yang19
  • Sijia Zhang20
  • Yi Han21
  • Yi Zhu22,23,24
  • Yong Ji25
  • Yan Li26,27
  • Tiannan Guo28,29,30
30 affiliations
  1. 1Affiliated Hangzhou First People's Hospital, State Key Laboratory of Medical Proteomics, School of Medicine, Westlake University, Hangzhou, China
  2. 2Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou, China
  3. 3Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
  4. 4Department of Anatomy, College of Basic Medical Sciences, Dalian Medical University, Dalian, China
  5. 5Harbin Medical University Cancer Hospital, Harbin, China
  6. 6Department of Gynecology, Shenzhen Qianhai Taikang Hospital, Shenzhen, China
  7. 7Department of Gynecology, Southern Medical University Shenzhen Hospital, Shenzhen, China
  8. 8Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
  9. 9Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Basic Medical Sciences, Hainan Academy of Medical Sciences, Hainan Medical University, Haikou, China
  10. 10Westlake Omics (Hangzhou) Biotechnology, Hangzhou, China
  11. 11Department of Pathology, University of Michigan, Ann Arbor, MI, USA
  12. 12Gilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
  13. 13Stanley and Judith Frankel Institute for Heart and Brain Health, University of Michigan, Ann Arbor, MI, USA
  14. 14Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
  15. 15School of Biological Sciences, Queen's University Belfast, Belfast, UK
  16. 16Faculty of Science, University of Zurich, Zurich, Switzerland
  17. 17Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
  18. 18Department of Anatomy, College of Medical Sciences, South China University of Technology, Guangdong, China
  19. 19Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
  20. 20State Key Laboratory of Frigid Zone Cardiovascular Diseases, Laboratory of Cardiovascular Disease and Molecular Intervention, Harbin Medical University, Harbin, China
  21. 21Department of Critical Care Medicine, Second Affiliated Hospital, Harbin Medical University, Harbin, China
  22. 22Affiliated Hangzhou First People's Hospital, State Key Laboratory of Medical Proteomics, School of Medicine, Westlake University, Hangzhou, China. [email protected]
  23. 23Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou, China. [email protected]
  24. 24Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China. [email protected]
  25. 25State Key Laboratory of Frigid Zone Cardiovascular Diseases, Laboratory of Cardiovascular Disease and Molecular Intervention, Harbin Medical University, Harbin, China. [email protected]
  26. 26Department of Anatomy and Physiology of College of Basic Medical Science, Shanghai Jiao Tong University, Shanghai, China. [email protected]
  27. 27Department of Emergency and Critical Disease, Songjiang Research Institute, Shanghai Key Laboratory of Emotion and Affective Disorders, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. [email protected]
  28. 28Affiliated Hangzhou First People's Hospital, State Key Laboratory of Medical Proteomics, School of Medicine, Westlake University, Hangzhou, China. [email protected]
  29. 29Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou, China. [email protected]
  30. 30Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China. [email protected]
Open at sourceDOICite

Abstract

. Here we present a comprehensive human proteomic landscape, generated by profiling more than 13,000 proteins across 2,856 samples using data-independent acquisition mass spectrometry. The dataset spans 58 major tissue types, 251 specific tissue subtypes and 25 distinct carcinomas. This resource enables the depiction of spatially resolved proteome trajectories across tissue types and physiological states, including fetal, tumour, adjacent non-tumour and healthy adult tissue, thereby providing insight into both developmental processes and oncogenic progression. Furthermore, quantitative proteomics comparisons across diverse tissue types and states facilitate the indication of organ-specific toxicity, the identification of repurposable anticancer drug candidates and the prioritization of therapeutic targets for cancers. This study establishes a quantitative resource for navigating the proteome in the human body and in common cancers.

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Cite

BibTeXRIS
BibTeX
@article{yue2026spatial,
  title = {{Spatial distribution of the proteome in the human body and in cancers}},
  author = {Liang Yue and Wenhao Jiang and Sainan Li and Meng Luo and Ning Fan and Xiaolu Zhan and Rui Sun and Honghan Cheng and Zhangzhi Xue and Tong Liu and Qianhe Zhou and Kexin Chen and Tian Lu and Fang Guo and Dongwei Li and Weigang Ge and Zongxiang Nie and Mengge Lyu and Jun A and Yingrui Wang and Ying-Dan Chen and Zhenhai Fu and Nan Xiang and Lu Li and Fengchao Yu and Guo Ci Teo and Alexey I. Nesvizhskii and Meng Wang and Michael P. Snyder and Ben C. Collins and Qi Xiao and Ruedi H. Aebersold and Fei Xu and Hui Yang and Sijia Zhang and Yi Han and Yi Zhu and Yong Ji and Yan Li and Tiannan Guo},
  journal = {Nature},
  year = {2026},
  month = jun,
  doi = {10.1038/s41586-026-10660-y},
  url = {https://doi.org/10.1038/s41586-026-10660-y},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Spatial distribution of the proteome in the human body and in cancers
AU  - Liang Yue
AU  - Wenhao Jiang
AU  - Sainan Li
AU  - Meng Luo
AU  - Ning Fan
AU  - Xiaolu Zhan
AU  - Rui Sun
AU  - Honghan Cheng
AU  - Zhangzhi Xue
AU  - Tong Liu
AU  - Qianhe Zhou
AU  - Kexin Chen
AU  - Tian Lu
AU  - Fang Guo
AU  - Dongwei Li
AU  - Weigang Ge
AU  - Zongxiang Nie
AU  - Mengge Lyu
AU  - Jun A
AU  - Yingrui Wang
AU  - Ying-Dan Chen
AU  - Zhenhai Fu
AU  - Nan Xiang
AU  - Lu Li
AU  - Fengchao Yu
AU  - Guo Ci Teo
AU  - Alexey I. Nesvizhskii
AU  - Meng Wang
AU  - Michael P. Snyder
AU  - Ben C. Collins
AU  - Qi Xiao
AU  - Ruedi H. Aebersold
AU  - Fei Xu
AU  - Hui Yang
AU  - Sijia Zhang
AU  - Yi Han
AU  - Yi Zhu
AU  - Yong Ji
AU  - Yan Li
AU  - Tiannan Guo
PY  - 2026
DA  - 2026/06/17
JO  - Nature
DO  - 10.1038/s41586-026-10660-y
UR  - https://doi.org/10.1038/s41586-026-10660-y
AB  - . Here we present a comprehensive human proteomic landscape, generated by profiling more than 13,000 proteins across 2,856 samples using data-independent acquisition mass spectrometry. The dataset spans 58 major tissue types, 251 specific tissue subtypes and 25 distinct carcinomas. This resource enables the depiction of spatially resolved proteome trajectories across tissue types and physiological states, including fetal, tumour, adjacent non-tumour and healthy adult tissue, thereby providing insight into both developmental processes and oncogenic progression. Furthermore, quantitative proteomics comparisons across diverse tissue types and states facilitate the indication of organ-specific toxicity, the identification of repurposable anticancer drug candidates and the prioritization of therapeutic targets for cancers. This study establishes a quantitative resource for navigating the proteome in the human body and in common cancers.
SN  - 0028-0836
SN  - 1476-4687
ER  -