趙玉政 教授 博士生導(dǎo)師
E-mail: yuzhengzhao@ecust.edu.cn
通訊地址：上海市徐匯區(qū)梅隴路130號；郵編：200237
【個人簡介】：
趙玉政，教授，博士生導(dǎo)師，北京協(xié)和醫(yī)院博士生導(dǎo)師，上海市前沿科學(xué)研究基地主任，中國醫(yī)學(xué)科學(xué)院創(chuàng)新單元主任，教育部國家級高層次人才（2021），國家重點(diǎn)研發(fā)計(jì)劃首席科學(xué)家（2019），教育部國家級青年人才（2017），國家優(yōu)秀青年科學(xué)基金獲得者（2017），國家自然科學(xué)基金創(chuàng)新研究群體核心成員，中國細(xì)胞生物學(xué)學(xué)會細(xì)胞代謝專業(yè)委員會委員，中國生物化學(xué)與分子生物學(xué)會代謝專業(yè)委員會委員，中國細(xì)胞生物學(xué)學(xué)會衰老細(xì)胞生物學(xué)專業(yè)委員會委員，中國老年學(xué)和老年醫(yī)學(xué)學(xué)會抗衰老分會委員，中國老年學(xué)和老年醫(yī)學(xué)學(xué)會老年病學(xué)分會衰老基礎(chǔ)醫(yī)學(xué)專家委員會常務(wù)委員，中國抗癌協(xié)會腫瘤代謝專業(yè)委員會委員，中國醫(yī)藥生物技術(shù)協(xié)會神經(jīng)修復(fù)與再生專業(yè)委員會委員，中國衰老標(biāo)志物研究聯(lián)合體專家委員會委員，中國研究型醫(yī)院學(xué)會過敏醫(yī)學(xué)專業(yè)委員會副主任委員，長三角現(xiàn)代產(chǎn)業(yè)學(xué)院協(xié)同育人聯(lián)盟生物醫(yī)藥專家委員會副主任委員，上海市生物化學(xué)與分子生物學(xué)學(xué)會副理事長，上海市細(xì)胞生物學(xué)學(xué)會理事，上海市產(chǎn)醫(yī)融合戰(zhàn)略咨詢委員會委員，上海市產(chǎn)醫(yī)融合戰(zhàn)略咨詢委員會腫瘤治療專業(yè)委員會委員等。
2007年7月獲山東大學(xué)理學(xué)學(xué)士學(xué)位，2012年6月獲華東理工大學(xué)工學(xué)博士學(xué)位并留校任教，歷任講師、副教授、研究員，現(xiàn)為華東理工大學(xué)教授。主要成果發(fā)表在Nature Methods、Cell Metabolism (4篇)、Nature Metabolism (2篇)、Nature Structural & Molecular Biology (2篇)、Nature Protocols (3篇)、Developmental Cell、Science Advances (2篇)、Cell Reports、PNAS、Blood、JCI、Trends in Cell Biology等國際權(quán)威期刊，編寫英文著作Methods in Enzymology1個章節(jié)。已申請70余項(xiàng)國內(nèi)外發(fā)明專利（授權(quán)25項(xiàng)），獲教育部自然科學(xué)一等獎（2020）、上海青年科技英才獎（2018）、上海市青少年科技創(chuàng)新“市長”獎（2013）等榮譽(yù)。研究成果在國際上產(chǎn)生重要影響，相關(guān)技術(shù)已被全球來自哈佛大學(xué)、斯坦福大學(xué)、麻省理工學(xué)院、牛津大學(xué)、劍橋大學(xué)及中國科學(xué)院等800多個實(shí)驗(yàn)室跟蹤應(yīng)用，典型技術(shù)應(yīng)用發(fā)表于Science、Cell。
【研究方向】：
1、細(xì)胞代謝監(jiān)測成像新技術(shù)開發(fā)
2、細(xì)胞代謝時空調(diào)控新機(jī)制研究
3、衰老及相關(guān)疾病（腫瘤、糖尿病、肥胖、心腦血管疾病等）即時診斷與創(chuàng)新藥物開發(fā)
【研究生招生與博士后招聘】：
本實(shí)驗(yàn)室研究對象涉及基因、蛋白質(zhì)、細(xì)菌、哺乳動物細(xì)胞、線蟲、斑馬魚、果蠅、鼠、大動物和臨床醫(yī)學(xué)樣本等，研究領(lǐng)域涉及醫(yī)學(xué)、藥學(xué)、藥理學(xué)、細(xì)胞生物學(xué)、生物化學(xué)與分子生物學(xué)、合成生物學(xué)、光遺傳學(xué)、化學(xué)遺傳學(xué)、化學(xué)生物學(xué)等。我們熱忱歡迎有志于從事細(xì)胞代謝研究、人類疾病診斷、創(chuàng)新藥物開發(fā)的同學(xué)或博士加盟本實(shí)驗(yàn)室。
【代表性論文】（*通訊作者）：
1. Li, R., Li, Y., Jiang, K., Zhang, L., Li, T., Zhao, A., Zhang, Z., Xia, Y., Ge, K., Chen, Y., Wang, C., Tang, W., Liu, S., Lin, X., Song, Y., Mei, J., Xiao, C., Wang, A., Zou, Y., Li, X., Chen, X., Ju, Z., Jia, W., Loscalzo, J., Sun, Y., Fang, W.*, Yang, Y.*, Zhao, Y.*. Lighting up arginine metabolism reveals its functional diversity in physiology and pathology. Cell Metabolism, 2025, 37(1), 291-304 (Cover story).
2. Gu, H., Weng, L., Chen, C., Hao, X., Tao, R., Qi, X., Lai, X., Liu, L., Zhang, T., Jiang, Y., Wang, J., Li, W., Yu, Z., Xie, L., Zhang, Y., He, X., Yu, Y., Yang, Y., Wu, D., Zhao, Y.*, Xu, T.*, Chen, G.*, Zheng J.*. Nonionotropic action of an acid-sensing ion channel inhibits leukemogenesis in the acidic bone marrow niche. The Journal of Clinical Investigation, 2025, 135(24), e189051.
3. Wang, Y., Yang, Y., Wang, A. Shen, C., Tan, S., Liu, C., Zhao, Y.*, Qu, X.*. Nitrogen-boosted H2O2 production of arginine-polyphenol nanozyme drives oxidative eustress for hair regeneration. Advanced Science, 2025, e19561.
4. Wang, A., Zou, Y., Liu, S., Zhang, X., Li, T., Zhang, L., Wang, R., Xia, Y., Li,X., Zhang, Z., Liu, T., Ju,Z., Wang, R.*, Loscalzo, J., Yang, Y.*, Zhao, Y.*. Comprehensive multiscale analysis of lactate metabolic dynamics in vitro and in vivo using highly responsive biosensors. Nature Protocols, 2024, 19(5), 1311-1347.
5. He, J., Wang, A., Zhao, Q., Zou, Y., Zhang, Z., Sha, N., Hou, G., Zhou, B., Yang, Y., Chen, T., Zhao, Y.*, Jiang, Y.*. RNAi screens identify HES4 as a regulator of redox balance supporting pyrimidine synthesis and tumor growth. Nature Structural & Molecular Biology, 2024, 31(9), 1413-1425.
6. Zhao, Y.*, Jiang, Y.*. HES4 controls redox balance and supports pyrimidine synthesis and tumor growth. Nature Structural & Molecular Biology, 2024, 31(9), 1315-1316.
7. Li, X., Zhang, Y., Xu, L., Wang, A., Zou, Y., Li, T., Huang, L., Chen, W., Liu, S., Jiang, K., Zhang, X., Wang, D., Zhang, L., Zhang, Z., Zhang, Z., Chen, X., Jia, W., Zhao, A., Yan, X., Zhou, H., Zhu, L., Ma, X., Ju, Z., Jia, W., Wang, C.*, Loscalzo, J., Yang, Y.*, Zhao, Y.*. Ultrasensitive sensors reveal the spatiotemporal landscape of lactate metabolism in physiology and disease. Cell Metabolism, 2023, 35(1), 200-211.
8. Dou, X., Fu, D., Long, Q., Liu, S., Zou, Y., Fu, D., Xu, Q., Jiang Z., Ren, X., Zhang, G., Wei X., Li Q., Campisi, J., Zhao, Y.*, Sun Y.*. PDK4-dependent hypercatabolism and lactate production of senescent cells es cancer malignancy. Nature Metabolism, 2023, 5, 1887-1910.
9. Jia, M., Yue, X., Sun, W., Zhou, Q., Chang, C., Gong, W., Feng, J., Li, X., Zhan, R., Mo, K., Zhang, L., Qian, Y., Sun, Y., Wang, A., Zou, Y., Chen, W., Li, Y., Huang, L., Yang, Y.*, Zhao, Y.*, Cheng, X.*. ULK1-mediated metabolic reprogramming regulates Vps34 lipid kinase activity by its lactylation. Science Advances, 2023, 9, eadg4993.
10. Huang, D., Zhang, C., Xiao, M., Li, X., Chen, W., Jiang, Y., Yuan, Y., Zhang, Y., Zou, Y., Deng, L., Wang, Y., Sun, Y., Dong, W., Zhang, Z., Xie, L., Yu, Z., Chen, C., Liu, L., Wang, J., Yang, Y.*, Yang, J.*, Zhao, Y.*, Zheng, J.*. Redox metabolism maintains the leukemogenic capacity and drug resistance of AML cells. PNAS, 2023, 120 (13), e2210796120.
11. Chen, C.*, Lai, X., Xie, L., Yu, Z., Dan, S., Jiang, Y., Chen, W., Liu, L., Yang, Y., Zhang, Y., Huang, D.*, Zhao, Y.*, Zheng J.*. NADPH metabolism determines the leukemogenic capacity and drug resistance of AML cells. Cell Reports, 2022, 39(1), 110607.
12. 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, 3(10), 1357-1371.
13. 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.
14. 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.
15. 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.
16. 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 ?uorescent sensors. ?Nature Protocols, 2018, 13(10), 2362-2386.
17. 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.
18. 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).
19. 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.
20. 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.
【綜述著作】（*通訊作者）：
1. Zhang, Z., Chen, C., Li, X., Zheng, J.*, Zhao, Y.*. Regulation of leukemogenesis via redox metabolism. Trends in Cell Biology, 2024, 34(11), 928-941.
2. Li, X.*, Wen, X., Tang, W., Wang, C., Chen, Y., Yang, Y., Zhang, Z.*, Zhao, Y.*. Elucidating the spatiotemporal dynamics of glucose metabolism with genetically encoded fluorescent biosensors. Cell Reports Methods, 2024, 4(11), 100904.
3. Consortium, A.B., Bao, H., Cao, J., Chen, M., Chen, M,, Chen, W., Chen, X., Chen, Y., Chen, Y., Chen, Y., Chen, Z., Chhetri, J., Ding, Y., Feng, J., Guo J., Guo M., He, C., Jia, Y., Jiang, H., Jing, Y., Li, D., Li, J., Li, J., Liang, Q., Liang, R., Liu, F., Liu, X., Liu, Z., Luo, O.J., Lv, J., Ma, J., Mao, K., Nie, J., Qiao, X., Sun, X., Tang, X., Wang, J., Wang, Q., Wang, S., Wang, X., Wang, Y., Wang, Y., Wu, R., Xia, K., Xiao, F., Xu, L., Xu, Y., Yan, H., Yang, L., Yang, R., Yang, Y., Ying, Y., Zhang, L., Zhang, W., Zhang, W., Zhang, X., Zhang, Z., Zhou, M., Zhou, R., Zhu, Q., Zhu, Z., Cao, F.*, Cao, Z.*, Chan, P.*, Chen, C.*, Chen, G.*, Chen, H.*, Chen, J.*, Ci, W.*, Ding, B.*, Ding, Q.*, Gao, F.*, Han, J.*, Huang, K.*, Ju, Z.*, Kong, Q.*, Li, Ji*, Li, J.*, Li, X.*, Liu, B.*, Liu, F.*, Liu, L.*, Liu, Q.*, Liu, Q.*, Liu, X.*, Liu, Y.*, Luo, X.*, Ma, S.*, Ma, X.*, Mao, Z.*, Nie, J.*, Peng, Y.*, Qu, J.*, Ren, J.*, Ren, R.*, Song, M.*, Songyang, Z.*, Sun, Y.*, Sun, Y.*, Tian, M.*, Wang, S.*, Wang, S.*, Wang, X.*, Wang, X.*, Wang, Y.*, Wang, Y.*, Wong, C.CL*, Xiang, A.P.*, Xiao, Y.*, Xie, Z.*, Xu, D.*, Ye, J.*, Yue, R.*, Zhang, C.*, Zhang, H.*, Zhang, L.*, Zhang, W.*, Zhang, Y.*, Zhang, Y.*, Zhang, Z.*, Zhao, T.*, Zhao, Y.*, Zhu, D.*, Zou, W.*, Pei, G.*, Liu, G.*. Biomarkers of aging. Science China Life Sciences, 2023, 66, 893-1066.
4. Ren J., Song M., Zhang W., Cai J., Cao F., Cao Z., Chan P., Chen C., Chen G., Chen H., Chen J., Chen X., Ci W., Ding B., Ding Q., Gao F., Gao S., Han J., He Q., Huang K., JuZ., Kong Q., Li J., Li J., Li J., Li X., Liu B., Liu F., Liu J., Liu L., Liu Q., Liu Q., Liu X., Liu Y., Luo X., Ma S., Ma X., Mao Z., Nie J., Peng Y., QuJ., Ren R., Song W., Songyang Z., Sun L., Sun Y.E., Sun Y., Tian M., Tian X., Tian Y., Wang J., Wang S., Wang S., Wang W., Wang X., Wang X., Wang Y., Wang Y., Wong C., Xiang A.P., Xiao Y., Xiao Z., Xie Z., Xiong W., Xu D., Yang Z., Ye J., Yu W., Yue R., Zhang C., Zhang H., Zhang L., Zhang X., Zhang Y., Zhang Y., Zhang Z., Zhao T., Zhao Y., Zhou Z., Zhu D., Zou W., Pei G., Liu G. The Aging Biomarker Consortium represents a new era for aging research in China. Nature Medicine, 2023, 29, pages2162–2165.
5. Chen, W., Liu, S., Yang, Y., Zhang, Z.*, Zhao, Y.*. Spatiotemporal Monitoring of NAD+ Metabolism with Fluorescent Biosensors. Mechanisms of Ageing and Development, 2022, 204, 111657.
6. Li, T., Zou, Y., Liu, S., Yang, Y., Zhang, Z.*, Zhao, Y.*. Monitoring NAD(H) and NADP(H) dynamics during organismal development with genetically encoded fluorescent biosensors. Cell Regeneration, 2022, 11, 5.
7. 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.
8. Zhang,Z., Chen, W., Zhao, Y.*, Yang, Y.*. Spatiotemporal imaging of cellular energy metabolism with genetically-encoded fluorescent sensors in brain. Neuroscience Bulletin, 2018, 34(5), 875-886.
9. Zhao, 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.
10. Zhao, Y.*, Zhang,Z., Yang, Y.*. Monitoring intracellular redox metabolism with genetically encoded fluorescent sensors. Scientia Sinica Vitae, 2017, 47:508-521.
11. 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.
12. Zhao, Y., Yang, Y.*. Profiling metabolic states with genetically encoded fluorescent biosensors for NADH. Current Opinion in Biotechnology, 2015, 31, 86-92.
13. 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. (ISBN：978-0-12-416618-9)
【部分合作論文】：
1. Liu, M., Cheng, A., You, W., Wu, J., Dai, C., Wang, T., Wu, Y., Zhong, F., Shi, J., Du, Y., Hou, Z., Gao, P., Ruan, K., Yang, Y., Zhao, Y.*, Zhang, K.*, Yang, Z.*, Guo J.*. CDK1-mediated phosphorylation of LDHA fuels mitosis through LDHB-dependent lactate oxidation. EMBO Reports, 2025, 26: 4923-4949.
2. Zhou H, Zou Y, Song Y, Zhang Z, Chen K, Deng L, Li X, Zhang S, Zhao Y. Simultaneous quantification of intracellular pH and lactate at the single-cell level using a genetically encoded fluorescence lifetime biosensor. Sensors & Actuators: B. Chemical. 2025, 441, 137979.
3. Wang L., Li Z., Xuan Y., Qin J., Li S., Zhong, F., Song, Y., Yang, K., Lv, M., Li, F., Zhang J, Pan, Y, Guang, S, Zhao, Y, Shi, Y, Liu, X, Du, Y, Gao, J, Ruan, K. Comprehensive proflling of the catalytic conformations of human guanylate kinase. Nature Communications. 2025, 16, 6859.
4. Zuo F, Jiang L, Su N, Zhang Y, BaoB, Wang L, Shi Y, Yang H, Huang X, Li R, Zeng Q, Chen Z, Lin Q, Zhuang Y, Zhao Y, Chen X, Zhu L, Yang Y. Imaging the dynamics of messenger RNA with a bright and stable green fluorescent RNA. Nature Chemical Biology, 2024, 20(10), 1272-1281.
5. Zou J, Jiang K, Chen Y, Ma Y, Xia C, Ding W, Yao M, Lin Y, Chen Y, Zhao Y*, Gao F*. Tofacitinib citrate coordination-based dual-responsive/scavenge nanoplatform toward regulate colonic inflammatory microenvironment for relieving colitis. Advanced Healthcare Materials, 2024, 2401869.
6. Bai L, Wang Y, Wang K, Chen X, Zhao Y, Liu C, Qu X. Materiobiomodulated ROS therapy for de novo hair growth. Advanced Materials, 2024, 36, 2311459.
7. Weng L, Tang W, Wang X, Gong Y, Liu C, Hong N, Tao Y, Li K, Liu S, Jiang W, Li Y, Yao K, Chen L, Huang H, Zhao Y, Hu Z, Lu Y, Ye H, Du X, Zhou H, Li P, Zhao T. Surplus fatty acid synthesis increases oxidative stress in adipocytes and induces lipodystrophy. Nature Communications, 2024, 15, 133.
8. Li J, Hou W, Zhao Q, Han W, Cui H, Xiao S, Zhu L, Qu J, Liu X, Cong W, Shen J, Zhao Y, Gao S, Huang G, Kong Q. Lactate regulates major zygotic genome activation by H3K18 lactylation in mammals. National Science Review, 2024, 11, nwad295.
9. Jiang L, Xie X, Su N, Zhang D, Chen X, Xu X, Zhang B, Huang K, Yu J, Fang M, Bao B, Zuo F, Yang L, Zhang R, Li H, Huang X, Chen Z, Zeng Q, Liu R, Lin Q, Zhao Y, Ren A, Zhu L, Yang Y. Large Stokes shift fluorescent RNAs for dual-emission fluorescence and bioluminescence imaging in live cells. Nature Methods, 2023, 20, 1563-1572.
10. Zhang D., Chen Z., Du Z., Bao B., Su N., Chen X., Ge Y., Lin Q., Yang L., Hua Y., Wang S., Hua X., Zuo F., Li N., Liu R., Jiang L., Bao C., Zhao Y., Loscalzo J., Yang Y., Zhu L. Design of a palette of SNAP-tag mimics of fluorescent proteins and their use as cell reporters. Cell Discovery, 2023, 9, 56.
11. Sun H., Zhang Z., Li T., Li Ting, Chen W., Pan T., Fang S., Liu C., Zhang Y., Wang L., Feng G., Li W., Zhou Q.*, Zhao Y.*. Live-cell imaging reveals redox metabolic reprogramming during zygotic genome activation. Journal of Cellular Physiology, 2023, 238(9), 2039-2049.
12. He M., Sun Yu., Cheng Y., Wang J., Zhang M., Sun R., Hou X., Xu J., He H., Wang H., Yuan Z., Lan M., Zhao Y., Yang Y., Chen X., Gao F. Spatiotemporally controllable diphtherin transgene system and neoantigen immunotherapy. Journal of Controlled Release, 2023, 355, 538-551
13. Fang M., Li H., Xie X., Wang H., Jiang Y., Li T., Zhang B., Jiang X., Cao Y., Zhang R., Zhang D., Zhao Y., Zhu L., Chen X., Yang Y. Imaging intracellular metabolite and protein changes in live mammalian cells with bright fluorescent RNA-based genetically encoded sensors. Biosensors and Bioelectronics, 2023, 235, 115411.
14. Liu, R., Yang, J., Yao, J., Zhao, Z., He, W., Su, N., Zhang, Z., Zhang, C., Zhang, Z., Cai, H., Zhu, L., Zhao, Y., Quan, S., Chen, X., Yang. Y. Optogenetic control of RNA function and metabolism using engineered light-switchable RNA-binding protein. Nature Biotechnology, 2022, 40, 779-786.
15. Zhao J., Yao K., Yu H., Zhang L., Xu Y., Chen L., Sun Z., Zhu Y., Zhang C., Qian Y., Ji S., Pan H., Zhang M., Chen J., Correia C., Weiskittel T., Lin D. W., Zhao Y., Chandrasekaran S., Fu X., Zhang D., Fan H. Y., Xie W., Li H., Hu Z., Zhang J. Metabolic remodelling during early mouse embryo development. Nature Metabolism, 2021, 3, 1372-1384.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
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