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新型多组学研究综合实验室(王晓东课题组)

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Novel Multi-Omics & Mass Spectrometry

Research in our labs' interest is mainly focusing on developing and implementing the array of mass spectrometry based novel analytical strategies to decipher puzzles about the most complex and elusive set of endo-/exo-genous molecules, such as proteins/protein complexes, neuropeptides, lipids, hormones, drugs, metabolites, and so on, and obtain new insights into the physiological roles of these signaling molecules play in the progression of human diseases and/or plant stress tolerance. Although significant effort has been directed in recent years towards analytical technique and method development, it is the biomedical importance of understanding the mechanisms of disease progression and/or plant tolerance that drives my research to continuously develop and refine/improve the analytical capabilities to address challenging oncology and/or botany problems. A large body of research strongly shows that an imbalance or abnormal modification of chemical messengers in vivo is always associated with various disorders or diseases in both of human and plant. However, compared to classical signaling molecules such as peptides, the functional roles of many glycopeptides are still poorly understood, much less sialylated glycopeptides. This is, in part, due to the lack of analytical capabilities to measure and identify these low abundance endo-/exo-genous signaling molecules in a complex microenvironment. Obviously, development of highly sensitive and selective analytical methods or techniques for endo-/exo-genous molecules in vivo identification and quantitation is in great demand.

研究领域:质谱成像,蛋白质组学,代谢组学,分析化学

研究内容:

I.生物成像:MALDI/ESI源质谱成像新技术、新方法研发及应用

  • 新型基质筛选用以增强生物内源性化合物 (如脂类、能量代谢产物、核苷酸、多肽及蛋白质等) 在组织表面质谱检测灵敏度
  • 组织特异性蛋白质翻译后修饰定量质谱成像新技术研究
  • 基于新型质谱成像技术耦合液质联用分析方法用于药用植物有效成分筛选、药物入体动态监测、药物治疗机制揭示以及慢性疾病生物标志发现研究
  • 基于民族特色药用植物成像蛋白质组学/代谢组学研究

II.蛋白质组学:药用植物及动物样本蛋白质组学新方法、新技术研发及应用

  •  蛋白质复合体及蛋白质相互作用新型分析方法研究
  •  蛋白质翻译后修饰(糖基化、磷酸化、甲基化、乙酰化等)定性/定量研究
  •  动植物膜蛋白质组学研究
  •  基于新型蛋白质组学技术用于慢性疾病个体化诊断及预后标志物筛选研究
创建: Jun 21, 2019 | 13:58