Deciphering plant cell-cell communications using single-cell omics data

Jingjing Jin; Shizhou Yu; Peng Lu; Peijian Cao

doi:10.1016/j.csbj.2023.06.016

Deciphering plant cell-cell communications using single-cell omics data

Comput Struct Biotechnol J. 2023 Jun 17:21:3690-3695. doi: 10.1016/j.csbj.2023.06.016. eCollection 2023.

Authors

Jingjing Jin¹, Shizhou Yu², Peng Lu¹, Peijian Cao^{1

3}

Affiliations

¹ China Tobacco Gene Research Center, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou 450001, China.
² Molecular Genetics Key Laboratory of China Tobacco, Guizhou Academy of Tobacco Science, Guiyang 550081, China.
³ School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China.

Abstract

Plants have various cell types that respond to different environmental factors, and cell-cell communication is the fundamental process that controls these plant responses. The emergence of single-cell techniques provides opportunities to explore features unique to each cell type and construct a comprehensive cell-cell communication (CCC) network. Although the most current successes of CCC inference were achieved in animal research, computational methods can also be directly applied to plants. This review describes the current major models for cell-cell communication inference and summarizes the computational tools based on single-cell omics datasets. In addition, we discuss the limitations of plant cell-cell communication research and propose new directions to expand the field in meaningful ways.

Keywords: Cell-cell communication; Omics; Plant; Single-cell.

Publication types

Review