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田瑞军
讲席教授
南方科技大学技术转移中心主任、南方科技大学光明高等研究院副院长、化学生物学与组学分析研究中心主任
0755-88018905
tianrj@sustech.edu.cn

田瑞军博士,南方科技大学化学系讲席教授、国家杰出青年科学基金获得者、化学生物学与组学分析研究中心主任、南方科技大学技术转移中心主任、南方科技大学光明高等研究院副院长、南方科技大学第一附属医院兼职教授;中国蛋白质组组织CNHUPO副理事长、中国化学会色谱专业委员会副主任委员、中国质谱学会理事和中国分子系统生物学学会理事。2008年在中国科学院大连化学物理研究所获得分析化学博士学位。先后在加拿大渥太华大学Ottawa Institute of Systems Biology和多伦多大学/西奈山医院Lunenfeld-Tanenbaum Research Institute完成博士后研究。2014年起受聘南方科技大学化学系,致力于蛋白质组学的方法学和技术研究,并强调其在细胞信号转导和胰腺癌肿瘤微环境等生物医学研究方向的应用。已在国内外主流学术期刊Nature、Nat. Chem. Biol.、Cell Chem. Biol.、PNAS、Nat. Commun.、Mol.  Cell. Proteomics、Anal. Chem.等上发表论文百余篇。曾荣获由国际蛋白质结构分析和蛋白质组学协会(IAPSAP)颁发的2012 Young Investigator Award、广东省杰出青年基金和深圳市鹏城学者特聘教授等。主持国家科技部重点研发计划、国家自然科学基金委重大研究计划集成项目、深圳市功能蛋白质组学重点实验室等项目。曾担任中国化学会第23届全国色谱学术报告会共同执行主席、第5届中加系统生物学研讨会和第2届中国蛋白质组组织(CNHUPO)青年学者研讨会共同主席等。担任分析化学、色谱杂志编委和Curr.  Opin.  Chem.  Biol.  Guest Editor。

 

代表性承担项目:

1. 国家科技部-国家重点研发计划,组织微环境蛋白质组可视化的前沿技术,2024.12-2029.11,项目负责人

2. 国家自然科学基金-重大研究计划,肿瘤微环境中关键蛋白质复合物动态修饰的多维度发现与表征,2023.01-2025.12,项目负责人

3. 国家自然科学基金-杰出青年科学基金项目,22125403,复杂生物样品分离与质谱分析,2022.01-2026.12,项目负责人

4. 深圳市功能蛋白质组学重点实验室,2024.02-2026.02,项目负责人

6. 深圳市科创局-重点项目,基于多组学的肿瘤耐药新靶点筛选及分子机制研究,2025.03-2028.03,项目负责人

 

代表性论文:

Invited reviews:

1. P. W. Huang,‡ W. N. Gao,‡ C. Y. Fu,‡ R. J. Tian,* Functional and clinical proteomic exploration of pancreatic cancer, Mol. Cell. Proteomics, 2023, 22, 100575. (Invited Reviews)

2. Z. Y. Liu,‡ X. Chen,‡ S. R. Yang, R. J. Tian,* F. J. Wang,* Integrated mass spectrometry strategy for functional protein complex discovery and structural characterization, Curr. Opin. Chem. Biol., 2023, 74, 102305. (Invited Reviews)

3. Y. H. Mao, X. Wang, P. W. Huang, R. J. Tian,* Spatial proteomics for understanding the tissue microenvironment, Analyst, 2021, 146, 3777-3798. (Invited Reviews)

4. J. N. Zheng,‡ X. Chen,‡ Y. Yang, C. S. H. Tan, R. J. Tian,* Mass spectrometry-based protein complex profiling in time and space, Anal. Chem., 2021, 93, 598–619. (Invited Reviews)

5. X. T. Ye,‡ J. Tang,‡ Y. H. Mao,‡ X. Lu, Y. Yang, W. D. Chen, X. Y. Zhang, R. L. Xu, R. J. Tian,* Integrated proteomics sample preparation and fractionation: method development and applications, TrAC Trends Anal. Chem., 2019, 120, 115667. (Highlighted as Front Cover)

6. R. J. Tian,* Exploring intercellular signaling by proteomic approaches, Proteomics, 2014, 14, 498-512. (Invited Reviews)

 

Research articles:

1. Y. H. Mao,‡ Y. Li,‡ Z. D. Zheng,‡ Y. F. Xu,‡ M. Ke, A. He, F. C. Liang, K. R. Zhang, X. Wang, W. N. Gao, R. J. Tian,* All-at-once spatial proteome profiling of complex tissue context with single-cell-type resolution by proximity proteomics, Cell Systems, 2025 May 5:101291.

2. P. W. Huang,‡ W. N. Gao,‡ C. Y. Fu,‡ M. Wang,‡ Y. G. Li,‡ B. Z. Chu, A. He, Y. Li, X. M. Deng, Y. H. Zhang, Q. Kong, J. X. Yuan, H. B. Wang, Y. Shi,* D. Gao,* R. Y. Qin,* T. Hunter, R. J. Tian,* Clinical functional proteomics of intercellular signaling in pancreatic cancer, Nature, 2025, 637, 726–735.

3.Y. F. Xu,‡ X. Wang,‡ Y. Li,‡ Y. H. Mao,‡ Y. R. Su, Y. Z. Mao, Y. Yang, W. N. Gao, C. Y. Fu, W. D. Chen, X. T. Ye, F. C. Liang, P. Z. Bai, Y. Sun, S. P. Li, R. L. Xu, R. J. Tian,* Multimodal single cell-resolved spatial proteomics reveal pancreatic tumor heterogeneity, Nat. Commun., 2024, 15, 10100.

4. Y. H. Mao,‡ Y. Chen,‡ Y. Li,‡ L. D. Ma,‡ X. Wang, Q. Wang, A. He, X. Liu, T. Y. Dong, W. N. Gao, Y. F. Xu, L. Liu, L. Ren, Q. Liu, P. Zhou, B. Hu, Y. W. Zhou,* R. J. Tian,* Z. L. Shi,* Deep spatial proteomics reveals region-specific features of severe COVID-19-related pulmonary injury, Cell Reports, 2024, 43, 2,113689.

5. Q. Wu,‡ J. N. Zheng,‡ X. T. Sui,‡ C. Y. Fu,‡ X. Z. Cui, B. Liao, H. C. Ji, Y. Luo, A. He, X. Lu, C. S. H. Tan,* R. J. Tian,* High-throughput drug target discovery by fully automated proteomics sample preparation platform, Chemical Science, 2024, 15, 2833-2847.

6.Y. C. Weng,‡ W. D. Chen,‡ Q. Kong,‡ R. X. Wang, R. X. Zeng, A. He, Y. J. Liu, Y. H. Mao, Y. Q. Qin, W. S. C. Ngai, H. Zhang, M. Ke, J. Wnag, R. J. Tian,* P. R. Chen,* DeKinomics pulse-chases kinase functions in living cells, Nat. Chem. Biol., 2024, 20, 615-623.

7. J. N. Zheng,‡* Z. D. Zheng,‡ C. Y. Fu,‡ Y. C. Weng, A. He, X. T. Ye, W. N. Gao, R. J. Tian,* Deciphering intercellular signaling complexes by interaction-guided chemical proteomics, Nat. Commun., 2023, 14, 4138.

8. X. Chen,‡ S. P. Ji,‡ Z. Y. Liu, X. Yuan, C. S. Xu, R. X. Qi, A. He, H. Zhao, H. P. Song, C. L. Xiao, W. N. Gao, P. Chen, R. Luo, P. F. Li,* F. J. Wang,* X. M. Yang, R. J. Tian,* Motif-dependent immune co-receptor interactome profiling by photoaffinity chemical proteomics, Cell Chem. Biol., 2022, 29, 1024-1036.

9. M. Ke,‡ X. Yuan,‡ A. He, P.Y. Yu, W.D. Chen, Y. Shi, T. Hunter, P. Zou, R. J. Tian,* Spatiotemporal Profiling of Cytosolic Signaling Complexes in Living Cells by Selective Proximity Proteomics, Nat. Commun., 2021, 12, 71.

10. Y. Shi,* W. N. Gao, N. K. Lytle, P. W. Huang, X. Yuan, A. M. Dann, M. Ridinger, K. E. DelGiorno, G. Erikson, H. Y. Sun, J. Meisenhelder, E. Terenziani, P. Santisakultarm, U. Manor, R. L. Xu, M. Leblanc, S. E. Umetsu, E. A. Collisson, A. M. Lowy, T. Reya, T. R. Donahue, M. Downes, G. M. Wahl, R. M. Evans, T. Pawson, R. J. Tian,* T. Hunter,* Targeting LIF-mediated paracrine interaction for pancreatic cancer therapy and monitoring, Nature, 2019, 569, 131-135.

11. B. Z. Chu,‡ A. He,‡ Y. T. Tian, W. He, P. Z. Chen, J. T. Hu, R. L. Xu, W. B. Zhou, M. J. Zhang, P. Y. Yang, S. S. C. Li, Y. Sun,* P. F. Li,* T. Hunter, R. J. Tian,* Photoaffinity-engineered protein scaffold for systematically exploring Native phosphotyrosine signaling complexes in tumor samples. Proc. Natl. Acad. Sci. U. S. A., 2018, 115, E8863-E8872.

12. R. J. Tian,*‡ H. P. Wang,‡ G. D. Gish, E. Petsalaki, A. Pasculescu, Y. Shi, M. Mollenauer, R. D. Bagshaw, N. Yosef, T. Hunter, A. Gingras, A. Weiss,* T. Pawson, A combinatorial proteomic analysis of intercellular signaling applied to the CD28 T cell co-stimulatory receptor, Proc. Natl. Acad. Sci. U. S. A. , 2015, 112, E1594–E1603.

13. Q. Kong,‡ M. Ke,‡ Y. C. Weng, Y. Q. Qin, A. He, P. F. Li,* Z. W. Cai,* R. J. Tian,* Dynamic phosphotyrosine-dependent signaling profiling in living cells by two-dimensional proximity proteomics, J. Proteome Res., 2022, 21, 2727–2735.

14. Q. Kong,‡ Y. C. Weng,‡ Z. D. Zheng, W. D. Chen, P. F. Li,* Z. W. Cai,* R. J. Tian,* Integrated and high-throughput approach for sensitive analysis of tyrosine phosphoproteome, Anal. Chem., 2022, 94, 40, 13728–13736.

15. Y. H. Mao,‡ P. Z. Chen,‡ M. Ke, X. Chen, S. P. Ji, W. D. Chen, R. J. Tian,* Fully integrated and multiplexed sample preparation technology for sensitive interactome profiling, Anal. Chem., 2021, 93, 5, 3026–3034.

16. P. W. Huang, Q. Kong, W. N. Gao, B. Z. Chu, H. Li, Y. H. Mao, Z. W. Cai, R. L. Xu, R. J. Tian,* Spatial proteome profiling by immunohistochemistry-based laser capture microdissection and data-independent acquisition proteomics, Anal. Chim. Acta, 2020, 1127, 140-148.

17. Q. Kong,‡ P. W. Huang,‡ B. Z. Chu, M. Ke, W. D. Chen, Z. D. Zheng, S. P. Ji, Z. W. Cai, P. F. Li, and R. J. Tian,* High-throughput and integrated chemical proteomic approach for profiling phosphotyrosine signaling complexes, Anal. Chem., 2020, 92, 8933-8942.

18. X. Lu,‡ Z. K. Wang,‡ Y. Gao, W. D. Chen, L. J. Wang, P. W. Huang, W. N. Gao, M. Ke, A. He, and R. J. Tian,* Autoproteome chip system for fully automated and integrated proteomics sample preparation and peptide fractionation, Anal. Chem., 2020, 92, 8893-8900.

19. P. W. Huang, H. J. Li, W. N. Gao, Z. W. Cai,* R. J. Tian,* A fully integrated spintip-based approach for sensitive and quantitative profiling of region-resolved in vivo brain glycoproteome, Anal. Chem., 2019, 91, 9181-9189.

20. R. L. Xu,‡ J. Tang,‡ Q. T. Deng, W. He, X. J. Sun, L. Xia, Z. Q. Cheng, L. S. He, S. Y. You, J. T. Hu, Y. X. Fu, J. Zhu, Y. X. Chen, W. N. Gao, A. He, Z. Y. Guo, L. Lin, H. Li, C. F. Hu, R. J. Tian,* Spatial-resolution cell type proteome profiling of cancer tissue by fully integrated proteomics technology, Anal. Chem., 2018, 90, 5879−5886.

21. W. D. Chen, S. Wang, S. Adhikari, Z. H. Deng, L. J. Wang, L. Chen, M. Ke, P. Y. Yang, R. J. Tian,* Simple and integrated spintip-based technology applied for deep proteome profiling, Anal. Chem., 2016, 88, 4864-4871.