New avenues for systematically inferring cell-cell communication: through single-cell transcriptomics data

Protein Cell. 2020 Dec;11(12):866-880. doi: 10.1007/s13238-020-00727-5. Epub 2020 May 21.

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; chemical signal-dependent communication; ligand-receptor interaction; network biology; physical contact-dependent communication; single-cell RNA sequencing.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Cell Communication*
  • Humans
  • RNA-Seq*
  • Single-Cell Analysis*
  • Transcriptome*