MACC:一个视觉交互的知识库,对代谢物相关的细胞通信
Jian Gao1,2,3, Saifeng Mo4, Jun Wang1
1School of Life Sciences, Fudan University, Shanghai, China.
Nucleic acids research
|October 28, 2023
概括
我们开发了第一个人类代谢物相关细胞通信 (MACC) 知识库. 它详细介绍了4206种相互作用,244种代谢物,以及与生物功能和疾病的联系,有助于研究.
科学领域:
- 细胞生物学 细胞生物学
- 代谢学 代谢学 代谢学
- 系统生物学 系统生物学
背景情况:
- 与代谢物相关的细胞通信对于人类的生物功能至关重要.
- 现有的研究缺乏这些相互作用的集中数据库.
研究的目的:
- 创建人类代谢物相关细胞通信的第一个全面的知识库 (MACC).
- 策划和整合来自实验文献的数据.
主要方法:
- 通过策划实验文献开发了MACC知识库.
- 包括4206种代谢物相关的细胞通信对,244种代谢物,226种细胞亚型和296种疾病状态.
- 关于4508种与代谢物相关的酶/载体,542种途径和单细胞表达特征的综合数据.
主要成果:
- 该MACC数据库包含4206个精选的代谢物相关的细胞通信对.
- 它包括244种人类内源代谢物,226种细胞亚型和296种疾病状态.
- 功能包括一个交互式网络可视化工具和交叉链接到主要的生物数据库.
结论:
- 通过代谢物,MACC为了解细胞间通过代谢物进行的细胞间通信提供了宝贵的资源.
- 它提供了新的视角,补充了连接体-受体相互作用.
- 该知识库促进了对代谢物在健康和疾病中的作用的研究.
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