解决单细胞基因表达通过转录和蛋白质基因数据集的伪时间集成解决单细胞基因表达
Craig P Barry1, Gert H Talbo2, Aiden Beauglehole1
1Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, St Lucia, Australia.
Molecular & cellular proteomics : MCP
|November 29, 2025
概括
这项研究整合了单细胞RNA测序和蛋白质组学,以揭示对缺氧的动态转录-翻译反应. 伪时空排序揭示了即时的转录和延迟的蛋白质表达模式.
科学领域:
- 分子生物学分子生物学
- 系统生物学 系统生物学
- 细胞动力学细胞动力学
背景情况:
- 像单细胞RNA测序 (scRNA-Seq) 和单细胞蛋白质组学这样的单细胞奥米克技术为细胞异质性提供了深入的见解.
- 整合多种单细胞数据类型,如转录组学和蛋白质组学,对于理解复杂的细胞过程至关重要,但仍然是一个重大挑战.
- 了解转录-翻译动态是解读细胞对各种刺激反应的关键.
研究的目的:
- 开发和应用一种用于整合单细胞RNA测序和单细胞蛋白质组学数据的新方法.
- 分析细胞对低氧应激反应期间的转录-翻译表达动态.
- 从纵向单细胞样本构建全面的转录-翻译资料.
主要方法:
- 在诱导缺氧后收集了纵向单细胞样本.
- 伪临时细胞排序被用来对齐和整合单细胞RNA测序和单细胞蛋白质组学数据.
- 用关键标记来构建每个数据类型的伪时空轨迹.
主要成果:
- 综合分析揭示了对缺氧的转录和转化反应的独特时间模式.
- 观察到立即的转录组反应,随后是延迟的蛋白质组表达.
- 该研究在低氧条件下成功生成了单细胞mRNA和蛋白质表达的统一配置文件.
结论:
- 单细胞转录基因和蛋白质基因数据的伪时间集成为研究转录-翻译动态提供了一个强大的框架.
- 这种方法阐明了在压力下不同的调节机制和细胞表型,例如缺氧压力.
- 这些发现为未来对单细胞水平复杂基因和蛋白质表达调节的研究提供了基础.
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