Single-cell RNA sequencing (scRNA-seq) allows researchers to analyze gene expression at the individual cell level, exposing heterogeneity that is hidden in bulk tissue analysis. There are various platforms for scRNA-seq that differ in throughput and customizability. Experimental design considerations include the number of cells to sequence, desired sequencing depth, and controlling for batch effects. The analysis workflow generally involves processing and filtering data, normalization, clustering, differential expression analysis, and trajectory inference to reconstruct cellular responses.