InterCellDB：用于推断细胞间网络的用户定义数据库。

Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310058, China.

Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310058, China.

Adv Sci (Weinh). 2022 Aug;9(22):e2200045. doi: 10.1002/advs.202200045. Epub 2022 Jun 2.

Recent advances in single cell RNA sequencing (scRNA-seq) empower insights into cell-cell crosstalk within specific tissues. However, customizable data analysis tools that decipher intercellular communication from gene expression in association with biological functions are lacking. The authors have developed InterCellDB, a platform that allows a user-defined analysis of intercellular communication using scRNA-seq datasets in combination with protein annotation information, including cellular localization and functional classification, and protein interaction properties. The application of InterCellDB in tumor microenvironment research is exemplified using two independent scRNA-seq datasets from human and mouse and it is demonstrated that InterCellDB-inferred cell-cell interactions and ligand-receptor pairs are experimentally valid.

单细胞 RNA 测序（scRNA-seq）的最新进展使人们能够深入了解特定组织内的细胞间通讯。然而，缺乏可自定义的数据分析工具来破译与生物功能相关的基因表达中的细胞间通讯。作者开发了 InterCellDB，这是一个平台，允许用户使用 scRNA-seq 数据集并结合蛋白质注释信息（包括细胞定位和功能分类以及蛋白质相互作用特性）进行自定义分析细胞间通讯。使用来自人类和小鼠的两个独立的 scRNA-seq 数据集来说明 InterCellDB 在肿瘤微环境研究中的应用，并证明了 InterCellDB 推断的细胞-细胞相互作用和配体-受体对是实验有效的。