低输入蛋白质组学协议用于用轨道轨道天文DIA-MS激光捕获的FFPE样本
Daniele Musiani1, Alessandro Cuomo2
1European Institute of Oncology (IEO), Mass Spectrometry Unit (MSU), Milan, Italy.
Methods in molecular biology (Clifton, N.J.)
|February 2, 2026
概括
激光微解剖 (LMD) 和质谱 (MS) 的两个新协议使微小组织样本的敏感蛋白质组分析成为可能. 这些方法尽量减少样本损失,以便在临床样本中详细调查组织异质性.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 分子生物学分子生物学
- 生物化学 生物化学
背景情况:
- 激光微解剖 (LMD) 与质谱学 (MS) 相结合,对于分析组织异质性至关重要.
- 分析低输入组织样本在蛋白质组学研究中提出了重大挑战.
- 现有的协议可能无法针对最小的样本损失或手动处理进行优化.
研究的目的:
- 为LMD-MS分析提供两种优化的低输入样本准备协议.
- 为了使微切割组织区域的敏感,高分辨率的蛋白质组分析.
- 为临床样本的可复制蛋白质基因分析提供指导.
主要方法:
- 开发和优化两个低投入的样品制备工作流程:固态增强制备 (SP3) 和洗剂/有机溶剂 (DDM/ACN).
- 将协议应用于较小的组织区域 (厚度为10微米的FPE组织的1500μm2以下).
- 使用数据独立获取 (DIA) 与高分辨率质谱学 (轨道轨道天文) 的集成.
主要成果:
- 协议尽量减少样本损失,使得非常小的组织区域的分析成为可能.
- 从低输入样本中获得可复制的蛋白质组概况,具有相当大的蛋白质组深度.
- 对微切割的FPE组织进行了敏感和高分辨率的蛋白质组分析.
结论:
- 开发的SP3和DDM/ACN协议为低输入的LMD-MS提供了强大的解决方案.
- 这些方法可以高精度地研究临床样本中的空间异质性.
- 这些协议适合人工处理,增加了研究人员没有自动化平台的可访问性.
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