Xiaoyan Lu
Jie Liao
Huajun Chen
Xiaohui Fan
1 College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China;
2 College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China;
3 The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China;
4 The Save Sight Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2000, Australia
Funds: This study was supported by the National Natural Science Foundation of China (Grant Nos. 81774153 and 81973701), the Natural Science Foundation of Zhejiang Province (LZ20H290002), and the National Youth Top-notch Talent Support Program (W02070098).
Received Date: 2020-02-04
Abstract
Abstract
For multicellular organisms, cell-cell communication is essential to numerous biological processes. Drawing upon the latest development of single-cell RNA-sequencing (scRNA-seq), high-resolution transcriptomic data have deepened our understanding of cellular phenotype heterogeneity and composition of complex tissues, which enables systematic cell-cell communication studies at a single-cell level. We first summarize a common workflow of cell-cell communication study using scRNA-seq data, which often includes data preparation, construction of communication networks, and result validation. Two common strategies taken to uncover cell-cell communications are reviewed, e.g., physically vicinal structure-based and ligand-receptor interaction-based one. To conclude, challenges and current applications of cell-cell communication studies at a single-cell resolution are discussed in details and future perspectives are proposed.Keywords: cell-cell communication,
single-cell RNA sequencing,
physical contact-dependent communication,
chemical signal-dependent communication,
ligand-receptor interaction,
network biology
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