Potentials of single-cell genomics in deciphering cellular phenotypes.
Single-cell genomics, particularly single-cell transcriptome profiling by RNA sequencing have transformed the possibilities to relate genes to functions, structures, and eventually phenotypes. We can now observe changes in each cell's transcriptome and among its neighborhoods, interrogate the sequence of transcriptional events, and assess their influence on subsequent events. This paradigm shift in biology enables us to infer causal relationships in these events with high accuracy. Here we review the latest single-cell studies in plants that uncover how cellular phenotypes emerge as a result of the transcriptome process such as waves of expression, trajectories of development and responses to the environment, and spatial information. With an eye on the advances made in animal and human studies, we further highlight some of the needed areas for future research and development, including computational methods.
['Shojaee|Abbas|A|', 'Saavedra|Michelle|M|', 'Huang|Shao-Shan Carol|SC|']
D000818:Animals D019295:Computational Biology D023281:Genomics D010641:Phenotype D017423:Sequence Analysis, RNA D059010:Single-Cell Analysis
RNA sequencing Causal inference Chromatin accessibility Expression waves Multi-omics Plant biology Pseudotime Single cell Spatial transcriptomics