Xiong Changxian, Zhou Yiran, Han Yu, Yi Jingkun, Pang Huai, Zheng Ruimao, Zhou Yuan
Department of Biomedical Informatics, Center for Noncoding RNA Medicine, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing 100191, China.
Biology (Basel). 2023 Jun 8;12(6):833. doi: 10.3390/biology12060833.
Inter-tissue communication (ITC) is critical for maintaining the physiological functions of multiple tissues and is closely related to the onset and development of various complex diseases. Nevertheless, there is no well-organized data resource for known ITC molecules with explicit ITC routes from source tissues to target tissues. To address this issue, in this work, we manually reviewed nearly 190,000 publications and identified 1408 experimentally supported ITC entries in which the ITC molecules, their communication routes, and their functional annotations were included. To facilitate our work, these curated ITC entries were incorporated into a user-friendly database named IntiCom-DB. This database also enables visualization of the expression abundances of ITC proteins and their interaction partners. Finally, bioinformatics analyses on these data revealed common biological characteristics of the ITC molecules. For example, tissue specificity scores of ITC molecules at the protein level are often higher than those at the mRNA level in the target tissues. Moreover, the ITC molecules and their interaction partners are more abundant in both the source tissues and the target tissues. IntiCom-DB is freely available as an online database. As the first comprehensive database of ITC molecules with explicit ITC routes to the best of our knowledge, we hope that IntiCom-DB will benefit future ITC-related studies.
组织间通讯(ITC)对于维持多种组织的生理功能至关重要,并且与各种复杂疾病的发生和发展密切相关。然而,目前尚无一个组织完善的数据资源,能够提供已知ITC分子从源组织到靶组织的明确ITC途径。为了解决这个问题,在这项工作中,我们人工查阅了近190,000篇出版物,并确定了1408个有实验支持的ITC条目,其中包含ITC分子、它们的通讯途径以及功能注释。为了便于我们的工作,这些经过整理的ITC条目被整合到一个名为IntiCom-DB的用户友好型数据库中。该数据库还能够可视化ITC蛋白及其相互作用伙伴的表达丰度。最后,对这些数据进行的生物信息学分析揭示了ITC分子的共同生物学特征。例如,在靶组织中,ITC分子在蛋白质水平的组织特异性评分通常高于mRNA水平。此外,ITC分子及其相互作用伙伴在源组织和靶组织中都更为丰富。IntiCom-DB作为一个在线数据库可免费获取。据我们所知,作为首个拥有明确ITC途径的ITC分子综合数据库,我们希望IntiCom-DB将对未来与ITC相关的研究有所助益。