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由单细胞和空间转录组学推断的阿特拉斯尺度代谢活动.

Erick Armingol1, James Ashcroft1, Magda Mareckova2

  • 1Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.

bioRxiv : the preprint server for biology
|June 4, 2025
PubMed
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研究人员开发了scCellFie,这是一个计算工具,可以从转录组数据绘制细胞代谢图. 这个框架揭示了器官特定的代谢活动和与疾病相关的变化,如子宫内膜异位症.

科学领域:

  • 计算生物学是一种计算生物学.
  • 代谢学 代谢学 代谢学
  • 一个单细胞分析.

背景情况:

  • 在单细胞或空间分辨率下直接测量细胞代谢是具有挑战性的.
  • 转录组数据为推断代谢状态提供了一个高通量替代方案.
  • 计算工具对于分析复杂的转录数据集至关重要.

研究的目的:

  • 为介绍scCellFie,一个用于从转录基因数据推断代谢活动的计算框架.
  • 为了使代谢的单细胞和空间分辨率分析.
  • 为人类器官创建一个全面的代谢地图.

主要方法:

  • 开发了scCellFie计算框架.
  • 将scCellFie应用于约3000万个人类和小鼠单细胞和空间转录形状.
  • 在人类器官之间生成代谢图谱.

主要成果:

  • 识别器官和细胞类型特定的代谢活动.
  • 在月经周期期间发现子宫内膜组织重塑中的代谢程序.
  • 在子宫内膜异位症和子宫内膜癌中揭示与疾病相关的代谢变化.

结论:

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  • scCellFie提供了一个可扩展的工具箱,用于从转录组数据中提取代谢功能.
  • 该框架允许在高分辨率下研究健康和疾病中的新陈代谢.
  • 通过转录基因数据,可以从各种生物背景中获得代谢洞察力.