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使用barcodetrackR查询克隆跟踪数据

Diego A Espinoza1,2, Ryland D Mortlock2, Samson J Koelle2,3

  • 1Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Nature computational science
|August 25, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了R包和Shiny应用程序BarcodetrackR,以标准化克隆追踪数据的分析. 它能够对基因和细胞疗法的细胞输出进行定量洞察,帮助研究血统复制和载体遗传毒性.

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科学领域:

  • 生物技术是生物技术.
  • 生物信息学是一种生物信息学.
  • 遗传学 是一个遗传学.

背景情况:

  • 克隆追踪方法为随着时间的推移提供了对原始细胞产量的定量见解.
  • 这些方法对于理解基因和细胞疗法至关重要,包括血统复制和载体基因毒性.
  • 缺乏标准化的分析工具阻碍了克隆追踪数据分析领域的发展.

研究的目的:

  • 开发一个全面的R包和Shiny应用程序,命名为barcodetrackR,用于分析和可视化克隆跟踪数据.
  • 为克隆追踪领域提供标准化的分析框架.
  • 为了促进纵向克隆模式和血统关系的探索.

主要方法:

  • 开发了条形码轨道R R包和附带的Shiny应用程序.
  • 实施各种工具用于对克隆追踪数据进行定量分析和可视化.
  • 在各种克隆追踪研究中应用条形码追踪R.

主要成果:

  • barcodetrackR提供了一个分析克隆跟踪数据的工具箱,解决了以前缺乏标准化框架的问题.
  • 该软件包和应用程序允许探索纵向的克隆模式和血统关系.
  • 在人类基因疗法和动物模型中涉及造血干细胞和原生细胞 (HSPC) 的研究中证明了效用.

结论:

  • barcodetrackR为基因和细胞治疗研究人员提供了宝贵的资源,为克隆追踪数据分析提供了标准化工具.
  • 该套件有助于更深入地了解细胞动态,血统复构和潜在的基因毒性.
  • 通过条形码追踪R进行标准化分析将推动克隆追踪领域及其在治疗开发中的应用.