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研究员

张瑞萍

职 称:研究员

所属科室:药物分析研究室

导师类别:博士生导师

联系方式:Tel: 010-63165218;
Email: rpzhang@imm.ac.cn

所属重点实验室:国家药物及代谢产物分析研究中心

个人简介

张瑞萍,博士,研究员,博士生导师。主要从事质谱新方法及其生物医药分析应用研究。先后主持国家自然科学基金面上项目、新疆维吾尔自治区自然科学基金、中央级公益科研院所基本科研业务费等科研项目。参与国家自然基金重点项目、国家重点研发计划、国家重大新药创制科技重大专项、科技部专项课题等国家级课题。发表相关SCI论文60余篇,申请专利6项,参与编写著作4部。获得2010年北京市科学技术奖二等奖(排名第三)、2011年中华医学科技奖三等奖(排名第三)、2014年度中国分析测试协会科学技术奖一等奖(排名第五)等奖励。兼任中国质谱学会常务理事、副秘书长,中国医药生物技术协会药物分析技术分会委员,《质谱学报》编委,中国实验室合格评定委员会(CNAS)实验室认可评审员。
教育背景 1987/09-1991/07,成都科技大学(现四川大学),应用化学系,分析化学专业,学士
1995/09-1998/07,山西大学,化学系,分析化学专业,硕士
2001/09-2004/07,中国协和医科大学,药物分析专业,博士
工作经历 1991/07-1995/09,山西医学院,卫生系,助教
1998/07-2001/08,山西医科大学,药学系,讲师
2004/08-至今,中国医学科学院&北京协和医学院药物研究所,国家药物及代谢产物分析研究中心,历任助理研究员、副研究员、研究员 专业研究领域 代谢紊乱是疾病的主要原因,为新药研发提供了潜在靶点和重要依据。我们开发先进的质谱成像技术及多功能液相色谱-质谱联用方法,旨在获取生物体代谢网络及其调控规律的新认识,同时致力代谢发现的转化应用。目前的研究工作分为以下方面:
1. 代谢组学技术开发,包括细胞代谢组学、空间成像代谢流、原位衍生化质谱成像
2. 功能代谢物的发现与验证
3. 药物早期药效毒性评价
4. 激素依赖性疾病的代谢基础

研究方向

发表论文

1. Qingce Zang†, Chenglong Sun†, Xiaoping Chu, Limei Li, Wenqiang Gan, Zitong Zhao, Yongmei Song, Jiuming He, Ruiping Zhang*, Zeper Abliz*. Spatially resolved metabolomics combined with multicellular tumor spheroids to discover cancer tissue relevant metabolic signatures. Anal Chim Acta, 2021, 10.1016/j.aca.2021.338342
2. Xiaoyu Xu†, Liping Wang†, Qingce Zang, Shanshan Li, Limei Li, Zhixing Wang, Jiuming He, Boqin Qiang, Wei Han, Ruiping Zhang, Xiaozhong Peng* and Zeper Abliz*. Rewiring of purine metabolism in response to acidosis stress in glioma stem cells. Cell Death and Disease, 2021, 12:277
3. Zhonghua Wang, Xiaoyu Xu, Bingshu He, Jinghua Guo, Baoxin Zhao, Yanping Zhang, Zhi Zhou, Xia Zhou, Ruiping Zhang*, Zeper Abliz*. The impact of chronic environmental metal and benzene exposure on human urinary metabolome among Chinese children and the elderly population. Ecotoxicology and Environmental Safety, 2019, 169: 232-239.
4. Xiaoyu Xu, Qingce Zang, Rui Zhang, Jiaxing Liu, Jiuming He, Ruiping Zhang*, Zeper Abliz. Systematic optimization and evaluation of sample pretreatment methods for LC-MS-based metabolomics analysis of adherent mammalian cancer cells. Anal Methods, 2019, 11: 3014-3022.
5. Xiao-Chao Zhang†, Qingce Zang†, Hansen Zhao, Xiaoxiao Ma, Xingyu Pan, Jiaxin Feng, Sichun Zhang, Ruiping Zhang, Zeper Abliz*, Xinrong Zhang*. Combination of Droplet Extraction and Pico-ESI-MS Allows the Identification of Metabolites from Single Cancer Cells. Anal Chem, 2018, 90(16): 9897-9903.
6. Rui Zhang, Peishan Hu, Qingce Zang, Xiaofei Yue, Zhi Zhou, Xiaoyu Xu, Jing Xu, Shanshan Li, Yanhua Chen, Boqin Qiang, Xiaozhong Peng, Wei Han,* Ruiping Zhang * and Zeper Abliz. LC-MS-based metabolomics reveals metabolic signatures related to glioma stem-like cell selfrenewal and differentiation. RSC Advances, 2017, 7: 24221–24232.
7. Zhonghua Wang, Yajie Zheng, Baoxin Zhao, Yanping Zhang, Zhe Liu, Jing Xu, Yanhua Chen, Zhao Yang, Fenfen Wang, Huiqing Wang, Jiuming He, Ruiping Zhang,* and Zeper Abliz*. Human Metabolic Responses to Chronic Environmental Polycyclic Aromatic Hydrocarbon Exposure by a Metabolomic Approach. Journal of Proteome Research, 2015, 14: 2583–2593.
8. Zhonghua Wang, Baoxin Zhao, Xuhui Liu, Yajie Zheng, Junxia Wang, Ruiping Zhang* and Zeper Abliz. A rapid and sensitive liquid chromatography-tandem mass spectrometry method for the quantitation of S-phenylmercapturic acid in human urine. Anal Methods, 2013, 5: 6081–6085.
9. Jiang Huang, Jianghao Sun, Yanhua Chen, Yongmei Song, Lijia Dong, Qinmin Zhan, Ruiping Zhang*, Zeper Abliz*. Analysis of multiplex endogenous estrogen metabolites in human urine using ultra-fast liquid chromatography-tandem mass spectrometry: A case study for breast cancer. Anal Chim Acta, 2012, 711: 60–68.
10. Yaping Tian, Jiuming He, Ruiping Zhang*, Haining Lv, Shuanggang Ma, Yanhua Chen, Shishan Yu, Xiaoguang Chen, Yan Wu, Wenyi He, Zeper Abliz*. Integrated rapid resolution liquid chromatography-tandem mass spectrometric approach for screening and identification of metabolites of the potential anticancer agent 3,6,7-trimethoxyphenanthroindolizidine in rat urine. Anal Chim Acta, 2012, 731: 60–67.

专著

专利

科技奖励