School of Life Sciences, Fudan University, Shanghai, China.
International Human Phenome Institutes (Shanghai), Shanghai, China.
Nucleic Acids Res. 2024 Jan 5;52(D1):D633-D639. doi: 10.1093/nar/gkad914.
Metabolite-associated cell communications play critical roles in maintaining the normal biological function of human through coordinating cells, organs and physiological systems. Though substantial information of MACCs has been continuously reported, no relevant database has become available so far. To address this gap, we here developed the first knowledgebase (MACC), to comprehensively describe human metabolite-associated cell communications through curation of experimental literatures. MACC currently contains: (a) 4206 carefully curated metabolite-associated cell communications pairs involving 244 human endogenous metabolites and reported biological effects in vivo and in vitro; (b) 226 comprehensive cell subtypes and 296 disease states, such as cancers, autoimmune diseases, and pathogenic infections; (c) 4508 metabolite-related enzymes and transporters, involving 542 pathways; (d) an interactive tool with user-friendly interface to visualize networks of multiple metabolite-cell interactions. (e) overall expression landscape of metabolite-associated gene sets derived from over 1500 single-cell expression profiles to infer metabolites variations across different cells in the sample. Also, MACC enables cross-links to well-known databases, such as HMDB, DrugBank, TTD and PubMed etc. In complement to ligand-receptor databases, MACC may give new perspectives of alternative communication between cells via metabolite secretion and adsorption, together with the resulting biological functions. MACC is publicly accessible at: http://macc.badd-cao.net/.
代谢物相关的细胞通讯通过协调细胞、器官和生理系统,在维持人体正常的生物学功能方面发挥着关键作用。尽管已经不断报道了大量关于 MACCs 的信息,但到目前为止还没有相关的数据库。为了解决这一差距,我们开发了第一个知识库(MACC),通过对实验文献的整理,全面描述人类代谢物相关的细胞通讯。MACC 目前包含:(a)4206 对经过精心整理的代谢物相关细胞通讯对,涉及 244 种人体内源性代谢物和体内及体外报道的生物学效应;(b)226 种全面的细胞亚型和 296 种疾病状态,如癌症、自身免疫性疾病和致病性感染;(c)4508 种与代谢物相关的酶和转运蛋白,涉及 542 条途径;(d)一个具有用户友好界面的交互式工具,用于可视化多个代谢物-细胞相互作用网络。(e)代谢物相关基因集的整体表达图谱,源自 1500 多个单细胞表达谱,以推断样本中不同细胞之间代谢物的变化。此外,MACC 还可以与 HMDB、DrugBank、TTD 和 PubMed 等知名数据库建立交叉链接。除了配体-受体数据库外,MACC 还可以通过代谢物的分泌和吸收提供细胞之间替代通讯的新视角,以及由此产生的生物学功能。MACC 可在以下网址获得:http://macc.badd-cao.net/。