杨烁 - 复旦大学 - 生命科学学院

个人简介

2018年9月至2023年1月，在Washington University(WUSTL)与Aaron Johnson教授合作从事博士后研究。2023年2月入职复旦大学生命科学学院，研究方向主要集中于信号跨器官传递、肌肉形态发生以及疾病建模等领域，以第一作者身份在Cell Host&Microbe, Nature Communications, JCI insight, Development, Journal of Virology, Developmental Biology等期刊发表多篇论文。实验室目前主要关注于三个方向：第一，探索多器官互作网络在整体稳态中的功能和机制；第二，筛选针对阿尔茨海默症的运动保护性因子；第三，解析肌肉细胞形态发生的调控因子。实验室目前和清华大学医学院，中国农业科学院哈尔滨兽医研究所，University of Florida School of Medicine，Washington University School of Medicine等单位建立了稳定的合作关系。获奖情况中国科学院研究生科技创新与社会实践资助专项, 中国科学院, 2013 Disease Models & Mechanisms Conference Travel Grant, The Company of Biologists Ltd, 2020. 2021 Drosophila Image Award, Drosophila Image Award Committee, sponsored by Genetics Society of America, 2021 上海市领军人才(海外), 上海市政府, 2022

研究领域

从单细胞动物发展到多细胞动物，是动物进化史上的一个飞跃。从多细胞动物开始，动物身体的各个部分为适应外界环境而逐渐分化为具有特定功能的器官。经典理论认为，各器官的功能受到内分泌系统和神经系统的调控。而近些年的研究发现，除了神经/激素调控之外，不同器官之间可通过代谢小分子和非激素类分泌性蛋白实现相互调控，这种调控机制被称为信号的跨器官传递(Inter-organ communication networks, ICN)。ICN可以主动/被动响应多种病理变化，参与调控并维持机体器官正常生理功能和整体稳态。例如，ICN异常，与心脏瓣膜病、非酒精性脂肪肝、慢性肾炎等多种疾病的发生息息相关。因此，解析ICN，不仅可以增强我们对生命体器官间调控网络的认知，更可以为介入治疗系统性炎症风暴、神经损伤、肌无力等ICN相关疾病提供依据。特别的，ICN研究对模式动物多器官协同遗传操作的可行性和便捷性提出了很高的要求。借助于果蝇的遗传学操作优势，本人成功解析了天然免疫通路“肠-肝”之间的时空传递机制，以及依赖于“外胚层-肌肉”跨器官信号的肌肉发育双重调控网络。本人的研究为深入探索器官间调控网络，建立维持多器官稳态的分子图谱，阐发系统性炎症的治疗策略，解析遗传性肌肉疾病的致病机理等，提供了完善的理论支撑，并为今后工作提供了成熟的平台和研究策略。一、解析天然免疫信号“肠-肝”传递的分子机制二、解析病原对宿主ICN系统的反制机制三、解析发育信号“外胚层-肌肉”传递的分子机制和调控网络四、解析神经炎症诱发的肌无力的分子机制五、运动/阿尔茨海默症/肌肉互作

近期论文

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Infection and chronic disease activate a brain-muscle signaling axis that regulates muscle performance Yang, S., Tian, M.,Yamada, S., Wang, Y., Feng, S., Chhangani, D, Ou, T., Li, W., Yang, Z., McAdow, J., Rincon-Limas. D., Yin, X., Tai, W., Cheng, G., and Johnson, A.. In Revise. An in vivo platform to identify clinically relevant pathogenic loci using Drosophila melanogaster Yamada, S., Ou, T., Nachadalingam, S., Yang, S.#, Johnson, A.#. #Corresponding author DOI: https://doi.org/10.1101/2023.11.01.565153 In Revise. The serine/threonine kinase Back seat driver prevents cell fusion to maintain cell identity Yang, S., Johnson, A. Developmental Biology. 2023 Mar 14; 495:35-41. [PMID: 36528051]. IF: 3.15 A pathogenic mechanism associated with myopathies and structural birth defects involves TPM2 directed myogenesis McAdow, J.#, Yang, S.#, Ou, T., Huang, G., Dobbs, M., Gurnett, C., Greenberg, M., Johnson, A.# co-first author. JCI insight. 2022 May 17; 7(12):e152466. [PMID: 35579956]. IF: 9.484 Spatiotemporal expression of regulatory kinases directs the transition from mitotic growth to cellular morphogenesis in Drosophila Yang, S., McAdow, J., Du, Y., Trigg, J., Taghert P., Johnson, A. Nature Communications. 2022 Feb 9;13(1):772. [PMID: 35140224]. IF: 17.694 FGF signals direct myotube guidance by regulating Rac activity Yang, S., Week, A., Du Y., Valera, J, Jones, K., Johnson, A. Development, 2020 Feb 7;147(3):dev183624. [PMID: 31932350]. IF: 6.862 Sugar alcohols of polyol pathway serve as alarmins to mediate local-systemic innate immune communication in Drosophila Yang, S., Zhao, Y., Yu, J., Fan, Z., Gong, S., Tang, H, L., Pan, L. Cell Host & Microbe, 2019 Aug 14;26(2):240-251.e8. [PMID: 31350199]. IF: 31.316 Establishment of viral infection and analysis of host-virus interaction in Drosophila melanogaster Yang, S., Zhao, Y., Yu, J., Fan, Z., Gong, S., Tang, H, L., Pan, L. Journal of Visualized Experiments, 2019 Mar 14;(145). [PMID: 30933079]. IF: 1.424 Bub1 facilitates virus entry through endocytosis in the model of Drosophila pathogenesis Yang, S., Yu, J., Fan, Z., Gong, S., Tang, H, L., Pan, L. Journal of Virology, 2018 Jul 5, 92(18), e00254-18. [PMID: 29976667]. IF: 6.549 Macrophage-derived IL-1 alpha promotes sterile inflammation in a mouse model of acetaminophen hepatotoxicity Zhang, C., Feng, J., Du, J., Zhuo, Z., Yang, S., Zhang, W. Wang, W. Zhang, S. Iwakura, Y. Meng, G. Fu, Y. X. Hou, B. Tang, H. Cellular & Molecular Immunology, 2018 Nov;15(11):973-982. [PMID: 28504245]. IF: 22.096 Bap180/Baf180 is required to maintain homeostasis of intestinal innate immune response in Drosophila and mice He, X., Yu, J., Wang, M., Cheng, Y., Han, Y., Yang, S., Shi, G., Sun, L., Fang, Y., Gong, S.T., Wang, Z., Fu, Y.X., Pan, L. & Tang, H. Nature Microbiology, 2017 Apr 18;2:17056, [PMID: 28418397]. IF: 30.964 Myotubularin-related protein 4 (MTMR4) attenuates BMP/Dpp signaling by dephosphorylation of Smad proteins Yu, J., He, X., Chen, Y.G., Hao, Y., Yang, S., Wang, L., Pan, L. & Tang, H. Journal of Biological Chemistry, 2013 Jan 4; 288(1): 79–88, [PMID: 23150675]. IF: 5.486