大规模脂质组精细结构解析为生命科学研究探索提供新维度

脂质组学已成为科学研究的热点，采用质谱技术进行脂质组学研究，已能解决诸如脂质的种类鉴别及脂肪酸链组成等问题。但是，脂质精细结构，如C=C及sn-位置等，对大规模组学来说仍是一个难点。近年来，区别与定量脂质C=C位置异构体已被证明对于生理过程研究、疾病标志物筛查及新药研发有着重要意义。PURSPEC Ω Analyzer脂质分析系统旨在为科学家提供一种全新脂质组学新工具，加速脂质标志物的探索发现与应用，前期技术研究成果已被国际知名期刊收录。

标准智能的大规模脂质组精细结构解析流程，支持快速自动获取准确、可靠数据结果

广阔的应用前景

• 精准医疗

• 疾病诊断

• 药物研发

• 代谢组学

• 生物信息学

参考文献

[1] Wenpeng Zhang, Donghui Zhang, Qinhua Chen, Junhan Wu, Zheng Ouyang and Yu Xia. “Online photochemical derivatization enables comprehensive mass spectrometric analysis of unsaturated phospholipid isomers“, Nature Communications, 2019,Online.

[2]Wenpeng Zhang , Spencer Chiang, Zishuai Li, Qinhua Chen, Yu Xia, Zheng Ouyang. “Polymer Coating Transfer Enrichment for Direct Mass Spectrometry Analysis of Lipids in Biofluid Samples”, 2019, Online.

[3] Dr. Tiffany Porta Siegel, Dr. Kim Ekroos, Dr. Shane R. Ellis. “Reshaping Lipid Biochemistry by Pushing Barriers in Structural Lipidomics“, Angewandte Chem, 2019,doi:10.1002/anie.201812698.

[4] Xiaoxiao Ma, Leelyn Chong, Ran Ti an, Riyi Shi, Tony Y. Hu, Zheng Ouyang, and Yu Xia. “Identification and quantitation of lipid C=C location isomers: a shotgun lipidomics approach enabled by photochemical reaction “, Proceedings of the National Academy of Sciences“ Proceedings of the National Academy of Sciences of the United States of America, 2016,113(10):2573.