计算机科学
构造(python库)
计算生物学
领域(数学)
细胞
生物
遗传学
程序设计语言
数学
纯数学
作者
Axel A. Almet,Zixuan Cang,Suoqin Jin,Qing Nie
标识
DOI:10.1016/j.coisb.2021.03.007
摘要
Cell-cell communication is a fundamental process that shapes biological tissue. Historically, studies of cell-cell communication have been feasible for one or two cell types and a few genes. With the emergence of single-cell transcriptomics, we are now able to examine the genetic profiles of individual cells at unprecedented scale and depth. The availability of such data presents an exciting opportunity to construct a more comprehensive description of cell-cell communication. This review discusses the recent explosion of methods that have been developed to infer cell-cell communication from non-spatial and spatial single-cell transcriptomics, two promising technologies which have complementary strengths and limitations. We propose several avenues to propel this rapidly expanding field forward in meaningful ways.
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