Typical workflow for single-cell analysis. Target cell populations are purified from patient samples and constructed libraries from sorted cell populations are sequenced. Next, raw data is preprocessed to remove poor quality cells followed by normalization. Subsequently, batch correction is performed to remove technical variations due to multiple experiments. Finally, data are visualized by dimensionality reduction methods, and further downstream analyses are performed including differential expression analysis, cell-to-cell communication prediction and trajectory analysis.