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微调无标签单细胞蛋白质组学工作流程

Pauline Perdu-Alloy1,2, Charline Keller1,2, Anjali Seth3

  • 1Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), IPHC UMR7178, CNRS, Université de Strasbourg, 25 Rue Becquerel, Strasbourg, Grand Est 67087, France.

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概括
此摘要是机器生成的。

优化单细胞蛋白质组学工作流程可以提高吞吐量和蛋白质定量. 这一进步使得使用质谱学对细胞异质性的强有力的分析成为可能,为更大的队列研究铺平了道路.

关键词:
收购LCMS/MS 收购对SCP样品的准备方法通过dia-PASEF消化效率是消化的效率.没有标签的量化量化.单细胞蛋白质组学 (单细胞蛋白质组学)

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科学领域:

  • 蛋白质组学是指蛋白质组学.
  • 细胞生物学 细胞生物学
  • 分析化学 分析化学

背景情况:

  • 单细胞蛋白质组学对于理解细胞异质性至关重要.
  • 目前的方法在稳定性,可重复性和吞吐量方面存在局限性,这阻碍了大规模研究.
  • 分析大型单细胞队列对于统计信心至关重要.

研究的目的:

  • 为了优化基于质谱的单细胞蛋白质组学工作流程.
  • 为了提高分析细胞异质性的强度,可重复性和吞吐量.
  • 建立一个可靠的方法来量化每单细胞成千上万的蛋白质.

主要方法:

  • 用不同的样本支器对三个nanoElute2兼容的工作流进行基准测试.
  • 优化的 EVO96 工作流与基于 Evosep 的分离在不同输出量上的比较.
  • 对酶/蛋白质比率的评估,以提高消化效率和改进色谱设置.

主要成果:

  • 建立了一个精简的,自动化的样品制备和直接注射协议.
  • 每个单个HeLa细胞的多达5000种蛋白质的量化.
  • 开发了一个强大的工作流程,每天55个样本的吞吐量在10分钟的梯度时间.

结论:

  • 优化的工作流显著提高了单细胞蛋白质组学的能力.
  • 这一进步解决了关键的局限性,使细胞异质性的更深入的研究成为可能.
  • 该方法为大规模单细胞蛋白质组分析提供了强大的高通量解决方案.