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赵玉政

  

赵玉政 教授  博士生导师  澳门十大赌城官方网站副院长


电话/传真021-64251287

E-mail: yuzhengzhao@ecust.edu.cn

通讯地址:上海市徐汇区梅陇路130号实验18733室;邮编:200237

  

  

个人简介

       赵玉政,教授,博士生导师,北京协和医学院博士生导师,国家重点研发计划项目首席科学家,中国医学科学院创新单元主任,中国医学科学院医学与健康科技创新工程首席专家,国家自然科学基金重点项目负责人,国家优秀青年科学基金获得者,教育部青年CJ学者,上海市前沿科学研究基地主任,国家自然科学基金创新研究群体核心成员,国家自然科学基金重大研究计划集成项目核心成员,上海青年科技英才,上海市青年拔尖人才等,中国细胞生物学学会细胞代谢专业委员会委员,中国细胞生物学学会衰老细胞生物学专业委员会委员,中国老年学和老年医学学会老年病学分会衰老基础医学专家委员会常务委员,中国抗癌协会肿瘤代谢专业委员会委员,中国医药生物技术协会神经修复与再生专业委员会委员,中国生物物理学会代谢生物学分会青年理事,中国研究型医院学会过敏医学专业委员会青年委员,上海市细胞生物学学会理事等。

       20077月获山东大学理学学士学位,20126月获华东理工大学工学博士学位并留校任教,历任讲师、副教授、研究员,现为华东理工大学教授。主要研究成果以通讯或第一作者(含共同)发表Nature Methods、Nature Metabolism、Nature Protocols(2)、Cell Metabolism(2)Developmental Cell、Science AdvancesBlood等国际权威期刊,编写英文著作Methods in Enzymology1个章节。已申请25项中国发明专利(授权8项)和5项国际PCT专利(授权2项美国发明专利),获教育部自然科学一等奖(2020)、上海青年科技英才奖(2018)、上海市青少年科技创新“市长”奖(2013)等荣誉。研究成果在国际上产生重要影响,相关技术已被全球来自哈佛大学、斯坦福大学、麻省理工学院、牛津大学、剑桥大学及中科院等500多个实验室跟踪应用,典型技术应用发表于Science、Cell

 

研究方向

1、细胞代谢监测与成像新技术开发

2、细胞代谢调控机制研究

3、衰老及相关疾病(肿瘤、糖尿病、肥胖、心脑血管疾病等)即时诊断与创新药物开发 


  

研究生招生与博士后招聘

       本实验室研究对象涉及基因、蛋白质、细菌、哺乳动物细胞、线虫、斑马鱼、果蝇、小鼠和临床医学样本,研究领域涉及药学、药理学、细胞生物学、生物化学与分子生物学、合成生物学、光遗传学、化学遗传学、化学生物学、医学等。我们热忱欢迎有志于从事细胞代谢研究、人类疾病诊断、创新药物开发的同学或博士加盟本实验室。


 

【代表性论文*通讯作者):  

1.   Ma, C.#, Zheng K.#, Jiang, K.#, Zhao, Q., Sha, N., Wang, W., Yan, M., Chen, T., Zhao,Y.*, Jiang, Y.*. The alternative activity of nuclear PHGDH contributes to tumor growth under nutrient stress. Nature Metabolism, 2021, in press.

2.   Chen, C.#, Hao X.#, Lai X.#, Liu L.#, Zhu J.#, Shao H., Huang D., Gu H., Zhang T., Yu Z., Xie L., Zhang X., Yang Y., Xu J.*, Zhao Y.*, Lu Z.*, Zheng J.*. Oxidative phosphorylation enhances the leukemogenic capacity and resistance to chemotherapy of B-cell acute lymphoblastic leukemia. Science Advances, 2021, 7, eabd6280.

3.   Zou, Y.#, Wang, A.#, Huang, L.#, Zhu, X.#, Hu, Q.#, Zhang, Y., Chen, X., Li, F., Wang, Q., Wang, H., Liu, R., Zuo, F., Li, T., Yao, J., Qian, Y., Shi, M., Yue, X., Chen, W., Zhang, Z., Wang, C., Zhou, Y., Zhu, L., Ju, Z., Loscalzo, J., Yang, Y.*, Zhao, Y.*. Illuminating NAD+ metabolism in live cells and in vivo using a genetically encoded fluorescent sensor. Developmental Cell, 2020, 53(2), 240-252.

4.   Gu, H.#, Chen, C.#, Hao, X.#, Su, N.#, Huang, Dan., Zou, Y., Lin, S., Chen, X., Zheng, D., Liu, L., Yu, Z., Xie, L., Zhang, Y., He, X., Lai, X., Zhang, X., Chen, G., Zhao, Y.*, Yang, Y.*, Loscalzo, J., Zheng, J.*. MDH1-mediated malate-aspartate NADH shuttle maintains the activity levels of fetal liver hematopoietic stem cells. Blood, 2020, 136 (5), 553-571.

5.  Zhang, Z., Cheng, X., Zhao, Y.*, Yang, Y.*. Lighting up live-cell and in vivo central carbon metabolism with genetically encoded fluorescent sensors. Annual Review of Analytical Chemistry, 2020, 13, 293-314.

6.  Li, L.#, Cheng, Y.#, Shen S.#, Zhou, J., Wang, A., Chen, G., Xu, J., Yang, Y., Zhao, Y.*, Zhang, S.*, Tian, Y. Sensitive detection via the time-resolved fluorescence of circularly permuted yellow fluorescent protein biosensors. Sensors & Actuators: B. Chemical, 2020, 321, 128614.

7.   Li, L.#, Zhang, C.#, Wang, P., Wang, A., Zhou, J., Chen, G., Xu, J., Yang, Y., Zhao, Y.*, Zhang, S.*, Tian, Y. Imaging the redox states of live cells with the time-resolved fluorescence of genetically encoded biosensors. Analytical Chemistry, 2019, 91(6), 3869-3876.

8.   Zou, Y.#, Wang, A.#, Shi, M., Chen, X., Liu, R., Li, T., Zhang, C., Zhang, Z., Zhu, L., Ju, Z., Loscalzo, J., Yang, Y.*, Zhao, Y.*Analysis of redox landscapes and dynamics in living cells and in vivo using genetically encoded fluorescent sensors. Nature Protocols, 2018, 13(10), 2362-2386.

9. Tao, R.#, Shi, M.#, Zou, Y.#, Cheng, D., Wang, Q., Liu, R.,Wang, A., Zhu, J., Deng, L., Hu, H.,Chen, X.,Du, J., Zhu, W., Zhao, Y.*, Yang, Y.*. Multicoloured fluorescent indicators for live-cell and in vivo imaging of inorganic mercury dynamics. Free Radical Biology & Medicine, 2018, 121, 26-37.

10. Hu, H.#, Wang, A.#, Huang, L., Zou, Y., Gu, Y., Chen, X., Zhao, Y.*, Yang, Y.*. Monitoring cellular redox state under hypoxia using a fluorescent sensor based on eel fluorescent protein. Free Radical Biology & Medicine, 2018, 120, 255-265.

11Zhao, Y.*, Zhang, Z., Zou, Y., Yang, Y.*. Visualization of nicotine adenine dinucleotide redox homeostasis with genetically encoded fluorescent sensors. Antioxidants & Redox Signaling, 2018, 28(3), 213-229.

12.  Tao, R.#, Zhao, Y.#, Chu, H.#, Wang, A., Zhu, J., Chen, X., Zou, Y., Shi, M., Liu, R., Su, N., Du, J., Zhou, H., Zhu, L., Qian, X., Liu, H., Loscalzo, J., and Yang, Y. Genetically encoded fluorescent sensors reveal dynamic regulation of NADPH metabolism. Nature Methods, 2017, 14(7), 720-728.

13.  Zhao, Y., Wang, A., Zou, Y., Su, N., Loscalzo, J., and Yang, Y. In vivo monitoring of cellular energy metabolism using SoNar, a highly responsive sensor for NAD+/NADH redox state. Nature Protocols, 2016, 11(8), 1345-1359. (Cover Story)

14. Zhao, Y.*, Yang, Y.*. Real-time and high-throughput analysis of mitochondrial metabolic states in living cells using genetically encoded NAD+/NADH sensors. Free Radical Biology & Medicine, 2016, 100, 43-52.

15. Zhao, Y., Hu, Q., Cheng, F., Su, N., Wang, A., Zou, Y., Hu, H., Chen, X., Zhou, H., Huang, X.,Yang, K., Zhu, Q., Wang, X., Yi, J., Zhu, L., Qian, X., Chen, L., Tang, Y., Loscalzo, J., and Yang, Y. SoNar, a highly responsive NAD+/NADH sensor, allows high-throughput metabolic screening of anti-tumor agents. Cell Metabolism, 2015, 21(5), 777-789.

16. Zhao, Y., and Yang, Y. Profiling metabolic states with genetically encoded fluorescent biosensors for NADH. Current Opinion in Biotechnology, 2015, 31, 86-92.

17. Zhao, Y., Jin, J., Hu, Q., Zhou, H.M., Yi, J., Yu, Z., Xu, L., Wang, X., Yang, Y., and Loscalzo, J. Genetically encoded fluorescent sensors for intracellular NADH detection. Cell Metabolism, 2011, 14(4), 555-566.


【参与合作论文


1.   He X., Wan J., Yang X., Zhang X., Huang D., Li X., Zou Y., Chen C., Yu Z., Xie L., Zhang Y., Liu L., Li S., Zhao Y., Shao H., Yu Y., Zheng J. Bone marrow niche ATP levels determine leukemia-initiating cell activity via P2X7 in leukemic models. Journal of Clinical Investigation, 2021, 131(4), e140242.

2.   Li T., Chen X., Qian Y., Shao J., Li X., Liu S, Zhu L., Zhao Y., Ye H., Yang. Y. A synthetic BRET-based optogenetic device for pulsatile transgene expression enabling glucose homeostasis in mice.Nature Communications, 2021, 12, 615.

3.  Liu, K., Guo, C., Lao, Y., Yang, J., Chen, F., Zhao, Y., Yang, Y., Yang, J., Yi, J. A fine-tuning mechanism underlying self- control for autophagy: deSUMOylation of BECN1 by SENP3. Autophagy, 2020, 16(6), 975-990.

4.   Li, X., Zhang, C., Xu, X., Miao, J., Yao, J., Liu, R., Zhao, Y., Chen, X., Yang Y. A single-component light sensor system  allows highly tunable and direct activation of gene expression in bacterial cells. Nucleic Acids Research, 2020, 48(6), e33.

5.   Chen, X., Zhang, D., Su, N., Bao, B., Xie, X. , Zuo, F., Yang, L., Wang, H., Jiang, L., Lin, Q., Fang, M., Li, N., Hua, X., Chen, Z., Bao, C., Xu, J., Du, W., Zhang, L., Zhao, Y., Zhu, L., Loscalzo, J., Yang, Y. Visualizing RNA dynamics in live cells with bright and stable fluorescent RNAs. Nature Biotechnology, 2019, 37(11), 1287-1293.

6.   Hao, X., Gu, H., Chen, C., Huang, D., Zhao, Y., Xie, L., Zou, Y., Shu, H., Zhang, Y., He, X., Lai, X., Zhang, X., Zhou, B., Zhang, C., Chen, G., Yu, Z., Yang, Y., Zheng, J. Metabolic imaging reveals a unique preference of symmetric cell division and homing of leukemia-Initiating cells in an endosteal niche. Cell Metabolism, 2019, 29(4), 950-965.

7.   Cheng, F., Lu, W., Liu, C., Fang, J., Hou, Y., Handy, D., Wang, R., Zhao, Y., Yang, Y., Huang, J., Hill, D., Vidal, M., Eng, C., Loscalzo, J. A genome-wide positioning systems network algorithm for in silico drug repurposing. Nature Communications, 2019, 10, 3476.

8.   Zhu, X., Shen, W., Yao, K., Wang, H., Liu B., Li, T., Song, L., Diao, D., Mao, G., Huang, P., Li, C., Zhang, H., Zou, Y., Qiu, Y., Zhao, Y., Wang, W., Yang, Y., Hu, Z., Auwerx, J., Loscalzo, J., Zhou, Y., Ju, Z. Fine-tuning of PGC1α expression regulates cardiac function and longevity. Circulation Research, 2019, 125(7), 707-719.

9.   Liu, X., Zhang, F., Zhang, Y., Li, X., Chen, C., Zhou, M., Yu. Z., Liu, Y., Zhao, Y., Hao, X., Tang, Y., Zhu, L., Liu, L., Xie, L., Gu, H., Shao, H., Xia, F., Yin, C., Tao, M., Xie, J., Zhang, C., Yang, Y., Sun, H., Chen, G., Zheng, J. PPM1K regulates hematopoiesis and leukemogenesis through CDC20-mediated ubiquitination of MEIS1 and p21. Cell Reports, 2018, 23, 1461-1475.

10.   Chen, X., Tian, M., Sun, R., Zhang, M., Zhou, L., Jin, L., Chen, L., Zhou, W., Duan, K., Chen, Y., Gao, C., Cheng, Z., Wang, F., Zhang, J., Sun, Y., Yu, H., Zhao, Y., Yang, Y., Liu, W., Shi, Y., Xiong, Y., Guan, K., and Ye, D. SIRT5 inhibits peroxisomal ACOX1 to prevent oxidative damage and is downregulated in liver cancer, EMBO Reports, 2018, e45124.

11.   Fang, Y., Liu, Z., Chen, Z., Xu, X., Xiao, M., Yu, Y., Zhang, Y., Zhang, X., Du, Y., Jiang, C., Zhao, Y., Wang, Y., Fan, B., Terheyden-Keighley, D., Liu, Y., Shi, L., Hui, Y., Zhang, X., Zhang, B., Feng, H., Ma, L., Zhang, Q., Jin, G., Yang, Y., Xiang, B., Liu, L., Zhang, X. Smad5 acts as an intracellular pH messenger and maintains bioenergetic homoeostasis. Cell Research, 2017, 27, 1083-1099.

12.  Yang, K., Wang, M., Zhao, Y., Sun, X., Yang, Y., Li, X., Zhou, A., Chu, H., Zhou, H., Xu, J., Wu, M., Yang, J., and Yi, J. A redox mechanism underlying nucleolar stress sensing by nucleophosmin. Nature Communications, 2016, 7, 13599.

13. Yang, H., Zhou, L., Shi, Q., Zhao, Y., Lin, H., Zhang, M., Zhao, S., Yang, Y., Ling, Z., Guan, K., Xiong, Y., and Ye, D. SIRT3-dependent GOT2 acetylation status affects the malate-aspartate NADH shuttle activity and pancreatic tumor growth. EMBO Journal, 2015, 34, 1110-1125.

14. Wang, Y., Zhou, L., Zhao, Y., Wang, S., Chen, L., Liu, L., Ling, Z., Hu, F., Sun, Y., Zhang, J., Yang, C., Yang, Y., Xiong, Y., Guan, K., and Ye, D. Regulation of G6PD acetylation by SIRT2 and KAT9 modulates NADPH homeostasis and cell survival during oxidative stress. EMBO Journal, 2014, 33, 1304–1320.


著作

1.   Zhao, Y., Yang, Y., and Loscalzo, J.Real-Time Assessment of the Metabolic Profile of Living Cells with Genetically  Encoded NADH Sensors. Methods in Enzymology, 2014, 542, 349-367. (ISBN978-0-12-416618-9)



























  
























































































































































































































































































































































































































































































































































































































































网页发布时间: 2017-06-12