New avenues for systematically inferring cell-cell communication: through single-cell transcriptomics data
Protein & Cell
; (12): 866-880, 2020.
Article
de En
| WPRIM
| ID: wpr-880881
Bibliothèque responsable:
WPRO
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.
Mots clés
Texte intégral:
1
Indice:
WPRIM
Sujet Principal:
Communication cellulaire
/
Analyse sur cellule unique
/
Transcriptome
/
RNA-Seq
Limites du sujet:
Animals
/
Humans
langue:
En
Texte intégral:
Protein & Cell
Année:
2020
Type:
Article