快速CE-MS与实时生态AI解决了单个人类中性粒细胞之间的蛋白质异质性
bioRxiv : the preprint server for biology
|September 2, 2025
概括
一个新的快速毛细电泳质谱 (CE-MS) 平台与人工智能增强单细胞蛋白质组. 这一突破使得像中性粒细胞这样的免疫细胞的深度分析成为可能,
科学领域:
- 蛋白质组学
- 系统免疫学
- 质谱学
背景情况:
- 通过质谱的单细胞蛋白质组面临吞吐量和灵敏度的限制,特别是对于像中性粒细胞这样的蛋白质缺乏的细胞.
- 中性粒细胞对于免疫防御至关重要,但对单细胞蛋白质的综合性鉴定是具有挑战性的.
研究的目的:
- 引入一种新的,快速的毛细电泳质谱 (CE-MS) 平台,用于高吞吐量,敏感的单细胞蛋白质组分析.
- 在单细胞水平上对具有挑战性的细胞类型,如人类中性粒细胞进行深度蛋白质分析.
主要方法:
- 开发一个快速的CE-MS平台,将实时数据采集与基于人工智能的数据处理整合起来.
- 使用单细胞相当的HeLa消化剂进行验证,以评估蛋白质识别能力.
- 用于新分离的人类中性粒细胞进行蛋白质组定型和异质性分析.
主要成果:
- 快速生态人工智能平台从300 pg的蛋白质中识别了约1,350个蛋白质,从75 pg的HeLa消化中识别了约835个蛋白质.
- 对人类中性粒细胞的分析确定了每细胞约2 pg的蛋白质.
- 在免疫路径中发现了显著的中性粒细胞功能异质性,至少确定了四种不同的蛋白质亚型.
结论:
- 快速生态人工智能平台为深度单细胞和亚细胞蛋白质组分析提供了灵敏,可扩展的CE-MS方法.
- 这项技术促进了免疫细胞的表型化,并为系统免疫学和临床蛋白质学开辟了新的途径.
- 证明能够以前所未有的速度解决免疫细胞群中的功能异质性.
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