New avenues for systematically inferring cellcell communication:through single-cell transcriptomics data
作者机构：College of Pharmaceutical SciencesZhejiang UniversityHangzhou 310058China College of Computer Science and TechnologyZhejiang UniversityHangzhou 310027China The First Affiliated HospitalSchool of MedicineZhejiang UniversityHangzhou 310003China The Save Sight InstituteFaculty of Medicine and HealthThe University of SydneySydneyNSW 2000Australia
出 版 物：《Protein & Cell》 (蛋白质与细胞（英文版）)
年 卷 期：2020年第11卷第12期
页 面：866-880页
核心收录：
学科分类：0710[理学-生物学] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 0711[理学-系统科学] 1007[医学-药学(可授医学、理学学位)] 1002[医学-临床医学] 07[理学] 0703[理学-化学] 0836[工学-生物工程]
基 金：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) the National Youth Top-notch Talent Support Program(W02070098).
主 题：cell-cell communication single-cell RNA sequencing physical contact-dependent communication chemical signal-dependent communication ligand-receptor interaction network biology
摘 要：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.
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