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CCIDB:一个带有细胞上下文信息的人工 curated 细胞-细胞相互作用数据库。

CCIDB: a manually curated cell-cell interaction database with cell context information.

机构信息

Department of Physiology, Ajou University School of Medicine, Suwon 16499, Republic of Korea.

Department of Biomedical Science, Ajou University Graduate School, Suwon 16499, Republic of Korea.

出版信息

Database (Oxford). 2023 Aug 11;2023. doi: 10.1093/database/baad057.

Abstract

Cell-cell interaction (CCI) is a crucial event in the development and function of multicellular organisms. The development of CCI databases is beneficial for researchers who want to analyze single-cell sequencing data or study CCI through molecular experiments. CCIs are known to act differently according to cellular and biological contexts such as cell types, gene mutations or disease status; however, previous CCI databases do not completely provide this contextual information pertaining to CCIs. We constructed a cell-cell interaction database (CCIDB) containing the biological and clinical contexts involved in each interaction. To build a database of cellular and tissue contexts, we collected 38 types of context features, which were categorized into seven categories, including 'interaction', 'cell type', 'cofactor', 'effector', 'phenotype', 'pathology' and 'reference'. CCIs were manually retrieved from 272 studies published recently (less than 6 years ago). In the current version of CCIDB, 520 CCIs and their 38 context features have been manually collected and curated by biodata engineers. We suggest that CCIDB is a manually curated CCI resource that is highly useful, especially for analyzing context-dependent alterations in CCIs. Database URL https://ccidb.sysmed.kr/.

摘要

细胞间相互作用(CCI)是多细胞生物发育和功能的关键事件。开发 CCI 数据库有利于希望通过单细胞测序数据分析或通过分子实验研究 CCI 的研究人员。CCI 据已知根据细胞和生物背景(如细胞类型、基因突变或疾病状态)而发挥不同作用;然而,以前的 CCI 数据库并没有完全提供与 CCI 相关的这种上下文信息。我们构建了一个包含每个相互作用所涉及的生物学和临床背景的细胞间相互作用数据库(CCIDB)。为了构建细胞和组织背景的数据库,我们收集了 38 种背景特征,将其分为七类,包括“相互作用”、“细胞类型”、“共因子”、“效应物”、“表型”、“病理学”和“参考”。CCI 是从最近发表的 272 项研究(不到 6 年前)中手动检索出来的。在 CCIDB 的当前版本中,520 个 CCI 及其 38 个上下文特征已由生物数据工程师手动收集和整理。我们认为 CCIDB 是一个经过人工整理的 CCI 资源,非常有用,特别是在分析 CCI 中与上下文相关的变化时。数据库网址:https://ccidb.sysmed.kr/。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33de/10419333/bea0050c03c9/baad057f1.jpg

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