肿瘤微环境
可药性
计算生物学
生物
药物发现
细胞
杠杆(统计)
肿瘤细胞
神经科学
生物信息学
癌症研究
计算机科学
遗传学
基因
机器学习
作者
Avery Pong,Clarence K. Mah,G Yeo,Nathan E. Lewis
标识
DOI:10.1016/j.copbio.2023.103048
摘要
Complex networks of cell–cell interactions (CCIs) within the tumor microenvironment (TME) play a crucial role in cancer persistence. These communication axes represent prime targets for therapeutic intervention, but our incomplete understanding of the cellular heterogeneity and interacting partners within the TME remains a stubborn barrier to complete drug responses. This review outlines recent advances in the study of CCIs that leverage single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) technologies that can clarify TME dynamics. We anticipate that these strategies will promote discovery of CCIs critical to the tumor-immune interface and will, by extension, expand the repertoire of druggable tumor biomarkers.
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