连接性:一个全面的连接体签名数据库来预测细胞间的通信
bioRxiv : the preprint server for biology
|April 8, 2025
概括
研究人员开发了Lignature,一个联结体-反应特征的数据库,以改善细胞间通信的预测. 这种工具准确地识别了驱动转录组变化的活体配体,优于现有方法.
科学领域:
- 细胞生物学 细胞生物学
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 细胞间通信依赖于连接体-受体相互作用,影响细胞过程.
- 从转录组签名中预测活体配体至关重要,但由于数据的可用性而受到限制.
研究的目的:
- 开发Lignature,一个全面的细胞内转录基因签名数据库,用于362个人类连接体.
- 为了提高对联体受体相互作用和活性联体的预测.
主要方法:
- 从已发布的数据集和资源 (CytoSig,ImmuneDictionary) 中编译的转录基因签名.
- 为每个连接体生成基于基因和通路的签名.
- 应用Lignature分析体外和单细胞测序数据中的转录基因变化.
主要成果:
- 线性质显著扩大了带有响应特征的联体的剧目.
- 与NicheNet相比,Lignature在识别活性联体方面表现优越.
- 在基因和途径层面实现了更高的准确性.
结论:
- 连接体是用于连接体信号推断的强大平台.
- 提供了一种强大的工具,用于在各种环境中探索连接体-受体相互作用.
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