The single-cell RNA sequencing (scRNA-seq) is a powerful tool for exploring the complexity, clusters, and specific functions of the brain cells. Using scRNA-seq, the heterogeneity and changes in transcriptomic profiles of a single neuron were defined during dynamic development and differentiation of cells in cerebral cortex regions, and in the pathogenesis of neurological diseases. One of the great challenges is that the brain sample is susceptible to interference and confounding. More advanced methodologies of computational systems biology need to be developed to overcome the inherent interference and technical differences in the detection of single-cell signals. It is expected that scRNA-seq will be extended to metabolic profiles of the single neuron cell on basis of transcriptional profiles and regulatory networks. It is also expected if the transcriptional profiles can be integrated with molecular and functional phenomes in a single neuron and with disease-specific phenomes to understand molecular mechanisms of brain development and disease occurrence. scRNA-seq will provide the new emerging neurological disciple of the artificial intelligent single neuron for deep understanding of brain diseases.
Keywords: Anesthesia; Brain; Cerebral cortex; Neurons; Single-cell RNA sequencing.