Single-cell RNA sequencing (scRNA-seq) and Spatial RNA sequencing are widely used techniques for profiling gene expression in individual cells with their locations in the histological sections. These allow molecular biology to be studied at a resolution that cannot be matched by bulk sequencing of cell populations. To better visualize the result of reduction, spatial gene expression pattern in single cell or spatial experiment data, ggsc provides some layer functions based on the ggplot2 grammar. It can work with the SingleCellExperiment class or Seurat class, which are the widely used classes for storing data from single cell experiment.