通过红外矩阵辅助激光吸附脱落电喷离离子化质谱法进行代谢物指纹采集
Alena N Joignant1, Fan Pu1, Shaun M McLoughlin1
1Discovery Research, AbbVie Inc., 1 North Waukegan Road, North Chicago, IL 60064, United States.
SLAS technology
|March 15, 2025
概括
这项研究引入了一种新的质谱法,用于药物发现中的快速,无标签的细胞查. 该技术成功地将活性化合物与错误匹配区分开来,为开发新药铺平了道路.
科学领域:
- 生物化学 生物化学
- 分析化学 分析化学
- 药理学 药理学是指药理学的学科.
背景情况:
- 质谱法越来越多地用于药物发现中的无标签,高通量查.
- 显微镜主导着细胞表型查,但挑战阻碍了超高吞吐量质谱应用.
- 开发用于表型查的快速质谱法对于推动药物发现至关重要.
研究的目的:
- 建立基于高通量质谱的表型查工作流程.
- 为了证明红外矩阵辅助激光吸附电喷离电离 (IR-MALDESI) 的实用性,用于直接取细胞溶解物样本.
- 使用代谢物指纹区分生化活性化合物与目标之外的错误匹配.
主要方法:
- 采用红外矩阵辅助激光吸附电喷离电离 (IR-MALDESI) 直接取样细胞溶解物,每秒一个样本.
- 应用板上提取和高质量分辨率质谱分析用各种化合物处理的A549细胞.
- 采用R来减少维度和对过的质谱数据进行无监督的聚类.
主要成果:
- 观察到所有的测试化合物都影响了谷氨胺到谷氨酸的细胞内转化.
- 确定了生化活性化合物和非目标错误匹配之间的明显代谢差异.
- 根据代谢物指纹,成功地将有害化合物与已确认的谷氨酸酶抑制剂分开.
结论:
- 建立了一个概念验证工作流程,用于基于高通量质谱的表型查.
- 通过IR-MALDESI方法,可以对细胞对化合物的反应进行快速,无标签的分析.
- 这种方法通过高效的表型查为发现新药提供了一个新的途径.
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