背景(考古学)
数据库
多细胞生物
计算机科学
功能(生物学)
电池类型
细胞
计算生物学
情报检索
生物
遗传学
古生物学
作者
Jin Young Noh,Hae-In Lee,Ji-Hye Choi,Seong Ho Cho,Youngjoo Yi,Ji Hyun Lim,Eun Myung,Ye Ju Shin,Hyo Jin Shin,Hyun Goo Woo
出处
期刊:Database
[Oxford University Press]
日期:2023-01-01
卷期号:2023
标识
DOI:10.1093/database/baad057
摘要
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/.
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