推进碰撞诱导的亲和力选择质谱法,用于复杂混合物的定量性联结体分析.
Xinru Xue1, Ronald J Quinn1, Bernd H A Rehm1,2
1Institute for Biomedicine and Glycomics, Griffith University, Southport, 4215 Gold Coast, Queensland, Australia.
Analytical chemistry
|March 3, 2026
概括
碰撞诱导的亲和力选择MS (CIAS-MS) 提供了增强的检测和亲和力排名的蛋白质-连接体相互作用. 这种优化的平台即使在复杂的生物样本中也能准确地排列连接体.
科学领域:
- 生物物理化学 生物物理化学
- 分析化学 分析化学
- 蛋白质组学是指蛋白质组学.
背景情况:
- 原生质谱法 (MS) 允许研究溶液中的蛋白质-配体相互作用.
- 碰撞诱导的亲和选择MS (CIAS-MS) 增强了连接体检测和复杂解离分析.
- 现有的方法在复杂的生物背景下面临局限性.
研究的目的:
- 优化CIAS-MS平台,以改善连接体结合检测和亲和度排名.
- 整合正和负离子模式,以实现更广泛的连接体检测.
- 为量化亲和度排名引入一个强大的参数.
主要方法:
- 使用了优化的碰撞诱导亲和选择MS (CIAS-MS) 平台.
- 综合正负离子模式,用于全面的连接体分析.
- 引入了用于亲和度排名的碰撞诱导解离 (CID) 斜率.
主要成果:
- 双离子模式的方法扩大了对多种连接体的检测.
- 该CID斜率参数准确地排列了溶液阶段的配体亲和力.
- CIAS-MS在复杂混合物和细菌溶解物中表现出强度.
结论:
- 优化的CIAS-MS提供了可靠的检测和精确的蛋白质 - 配体相互作用的亲和度排名.
- CID斜率是亲和度顺序的可靠度量,即使在具有挑战性的样本中也是如此.
- CIAS-MS是一个可扩展的平台,用于高通量配体发现和全蛋白质组研究.
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