Abstract: In the last decade, single cell RNAsequencing (scRNAseq) has made significant advances in obtaining quantitative geneexpression of individual cells and identifying previously uncharacterized cell types and functions. However, scRNAseq technologies have the intrinsic limitation of losing original positional information during tissue dissociation into single cells. Spatial localization of cells in tissue microenvironments is essential to further identify cell types, elucidate the complex celltocell communication and spatial division of labor among cells, and explore the relationship between the tissue microenvironments imbalance and the development and progression of diseases. Tissuelevel systems biology requires obtaining wholegenome expression profiles while retaining the spatial positional information of cells. Spatial transcriptomics emerged at the proper time and developed rapidly in recent years. In this review, we introduced the common techniques of spatial transcriptomics and the integrated applications of spatial transcriptomics with other omics (spatialomics). Finally, we summarized current applications and future opportunities in the field of kidney diseases.