受体
转录组
生物
计算生物学
细胞
电池类型
配体(生物化学)
信号转导
细胞生物学
炎症
细胞信号
生物信息学
免疫学
基因表达
基因
遗传学
作者
Qi Liu,Chih–Yuan Hsu,Jia Li,Yu Shyr
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2022-04-21
卷期号:38 (12): 3216-3221
被引量:9
标识
DOI:10.1093/bioinformatics/btac294
摘要
Intracellular communication is crucial to many biological processes, such as differentiation, development, homeostasis and inflammation. Single-cell transcriptomics provides an unprecedented opportunity for studying cell-cell communications mediated by ligand-receptor interactions. Although computational methods have been developed to infer cell type-specific ligand-receptor interactions from one single-cell transcriptomics profile, there is lack of approaches considering ligand and receptor simultaneously to identifying dysregulated interactions across conditions from multiple single-cell profiles.
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