田瑞军博士，国家杰出青年基金获得者，南方科技大学理学院化学系终身教授、南方科技大学教授会会长、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，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理事长、全国色谱会学术委员会常务委员、中国质谱学会理事和中国分子系统生物学学会理事。2008年于中国科学院大连化学物理研究所获得分析化学博士学位，师从邹汉法研究员，并获得中国科学院院长优秀奖和中国科学院优秀毕业生奖励。同年加入加拿大渥太华系统生物学研究所进行博士后研究，师从Daniel Figeys教授。2010年加入加拿大多伦多大学和西奈山医院继续博士后研究，师从Tony Pawson院士，并获得加拿大国立卫生研究院（CIHR）博士后基金资助。2014年起受聘南方科技大学化学系副教授（研究员），并于2020年晋升终身正教授。致力于蛋白质组学方法学研究，并在蛋白质复合物、细胞信号转导和肿瘤微环境等生物医学方向开展应用研究。已在国际主流学术期刊Nature、Cell Chem.  Biol.、Nat. Commun.、PNAS、Mol. Cell. Proteomics、Anal. Chem.等上发表论文百余篇。作为负责人获国家自然科学基金重大研究计划集成项目、科技部国家重点研发计划子课题等资助。作为客座主编在Curr. Opin. Chem. Biol.等发表专刊两部。担任色谱杂志编委。

研究领域：

本研究组具有分析化学、化学生物学和生物化学等多学科交叉的研究优势，以重要基础生物学和转化医学问题为导向、细胞信号转导研究为切入点，开展蛋白质组学相关新方法和新技术研究，并强调在肿瘤微环境等生物医学方向的实际应用。主要研究方向包括： 1. 基于生物质谱的蛋白质组学新方法和新技术 2. 基于化学蛋白质组学技术的动态蛋白质复合物研究

荣誉奖励：

2021年   国家自然科学基金委杰出青年基金

2019年   广东省自然科学基金委杰出青年基金

2019年   深圳市鹏城学者特聘教授

2014年   深圳市孔雀计划B类

2012年   2012 Young Investigator Award, 国际蛋白质结构分析和蛋白质组学协会(IAPSAP)

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, Accepted. (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, Accepted. (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(4-5):498-512. (Invited Reviews)

Research articles:

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. 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.

13. 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.

14. 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.