Single‐cell nucleic acid sequencing reinforces to reveal signal‐ dependent pathways contributing to cellular heterogeneity

Ligand-receptor interactions, important for cell-cell communication and cell signalling, can best be determined in the context of cell location. scRNA-seq is still an evolving technology and has some limitations due to technical and biological factors, which can reduce the quality and reproducibility of the sequencing data. Because the concentration of RNA from a single cell is necessarily low, the data gathered are noisier and more varied compared to bulk RNA-seq data. [...]droplet-based technologies focus on longer (full-length) or just the 3′-end transcripts and have been found to sufficiently provide cells and their surrounding subpopulations. [...]data analysis methods require excellent quality control to weed out low-quality sequences; unique and appropriate computational tools designed for accurate mapping of scRNA-seq data are necessary. [...]scRNA-seq and related technologies enable researchers to examine cellular heterogeneity at such a level that we can link regulatory and transcriptional factor variations to changes in gene expression.