代谢物在细胞间通信中的作用:对数据库和计算工具的审查
Qi Song1,2, Zhenchao Liu1,2, Sen Liu1
1Key Laboratory of Fermentation Engineering, Ministry of Education, Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei University of Technology, Wuhan 430068, China.
Cells
|January 9, 2026
概括
代谢物介导的细胞-细胞通信 (CCC) 是至关重要的,但具有挑战性的研究. 本次审查强调了需要更好的计算工具和数据库,以使用单细胞RNA测序 (scRNA-seq) 准确识别这些信号通路.
科学领域:
- 细胞生物学 细胞生物学
- 生物化学 生化学
- 计算生物学 计算生物学
背景情况:
- 细胞-细胞通信 (CCC) 对于多细胞生命至关重要,调节生理和病理过程.
- 代谢物越来越被认为是CCC中的关键信号分子,但它们的作用是复杂的.
- 单细胞RNA测序 (scRNA-seq) 提供了对CCC的高分辨率见解.
研究的目的:
- 审查现有的代谢物传感器数据库和用于使用scRNA-seq数据识别代谢物介导的CCC的计算工具.
- 讨论数据库构建和计算方法开发当前的局限性.
- 突出未来的方向,以更好地推断代谢物介导的CCC.
主要方法:
- 审查有关代谢物传感器数据库的现有文献.
- 对从scRNA-seq数据中推断CCC进行调整的计算工具的分析.
- 讨论目前用于估计代谢物丰度的方法的局限性.
主要成果:
- 现有的代谢物传感器数据库缺乏统一的标准,导致变化.
- 当前的计算工具经常适应一般的CCC方法,不充分捕捉代谢物-传感器相互作用.
- 由于代谢物传感器机制的复杂性,代谢物介导的CCC的推断受到阻碍.
结论:
- 改进的计算方法和精细的数据库对于可靠地推断代谢物介导的CCC至关重要.
- 未来的方向包括整合空间奥米克和人工智能 (AI) 方法.
- 对代谢物介导的CCC的系统推断和验证可以导致新的药物发现和治疗目标.
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