朱正江/ 研究员
学历: 博士研究生
邮箱: jiangzhu@sioc.ac.cn
电话:
地址: 上海市浦东新区海科路100号邮编：201210
2002-2006，南京大学化学系,获理学学士学位
2006-2011，美国马萨诸塞大学阿默斯特分校(UMass-Amherst)，获哲学博士学位
2011-2013，美国加州斯克利普斯（Scripps）研究所，博士后
2013.9-至今 中国科学院生物与化学交叉研究中心 研究员、课题组长
朱正江课题组主要发展基于质谱技术的代谢组学新方法，并将代谢组学技术应用于研究与健康、疾病相关的生命医学问题。具体方向为
（1）发展新型质谱方法结合生物信息学实现高通量、全定量代谢组学技术；
（2）代谢组学生物信息学平台及代谢物数据库建设；
（3）运用代谢组学技术研究衰老及神经退行性疾病
1. X. Chen†, R. He†, H. Xiong, R. Wang, Y. Yin, Y. Chen*, and Z.-J. Zhu*, Quantitative profiling of lipid transport between organelles enabled by subcellular photocatalytic labeling, Nature Chemistry, 2025, 17, 1534 - 1545.
2. H. Zhang, X. Zeng., Y. Yin., and Z.-J. Zhu*, Knowledge and Data-driven Two-layer Networking for Accurate Metabolite Annotation in Untargeted Metabolomics, Nature Communications, 2025, 16: 8118.
3. Z. Xie, M. Lin, B. Xing, H. Wang, H. Zhang, Z. Cai, X. Mei*, and Z.-J. Zhu*, Citrulline regulates macrophage metabolism and inflammation to counter aging in mice, Science Advances, 2025, 11, ads4957.
4. M. Luo, Y. Yin, Z. Zhou, H. Zhang, X. Chen, H. Wang, and Z.-J. Zhu*, A Mass Spectrum-oriented Computational Method for Ion Mobility-resolved Untargeted Metabolomics, Nature Communications, 2023, 14: 1813.
5. Z. Zhou†, M. Luo†, H. Zhang, Y. Yin, Y. Cai, and Z.-J. Zhu* , Metabolite Annotation from Knowns to Unknowns through Knowledge-guided Multi-layer Metabolic Networking, Nature Communications, 2022, 13: 6656.(ESI Highly Cited Paper, Top 1%）
6. R. Wang, Y. Yin, J. Li, H. Wang, W. Lv, Y. Gao, T. Wang, Y. Zhong, Z. Zhou, Y. Cai, X. Su, N. Liu*, and Z.-J. Zhu*, Global Stable-isotope Tracing Metabolomics Reveals System-wide Metabolic Alternations in Aging Drosophila, Nature Communications, 2022, 13: 3518.
7. Z. Zhou, M. Luo, X. Chen, Y. Yin, X. Xiong, R. Wang, and Z.-J. Zhu*, Ion Mobility Collision Cross-Section Atlas for Known and Unknown Metabolite Annotation in Untargeted Metabolomics，Nature Communications, 2020, 11: 4334.(ESI Highly Cited Paper, Top 1%）
8. X. Shen, R. Wang, X. Xiong, Y. Yin, Y. Cai, Z. Ma, N. Liu, and Z.-J. Zhu*，Metabolic Reaction Network-based Recursive Metabolite Annotation for Untargeted Metabolomics, Nature Communications, 2019, 10: 1516. (ESI Highly Cited Paper, Top 1%）
