The rapid development of single-cell transcriptomics technology enables us to better understand the type, function and spatial distribution of cells, which is of great significance for the study of human systemic diseases. Therefore, it is a meaningful task to build a single cell spatial transcription database for human systemic diseases, which can provide useful information and resources for medical research and treatment. This spatial transcription database covers 45 disease types involved in 12 major systems of the human body. Including some common diseases, such as lung cancer, tuberculosis, liver cancer, breast cancer and so on; It also includes some rare diseases, such as squamous cell carcinoma, human osteosarcoma, oligodendroglioma, etc. The overall coverage of disease types is sufficient and convenient for use. The rapid development of single-cell transcriptomics technology enables us to better understand the type, function and spatial distribution of cells, which is of great significance for the study of human systemic diseases.

      Therefore, it is a meaningful task to build a single cell spatial transcription database for human systemic diseases, which can provide useful information and resources for medical research and treatment. This spatial transcription database covers 45 disease types involved in 12 major systems of the human body. Including some common diseases, such as lung cancer, tuberculosis, liver cancer, breast cancer and so on; It also includes some rare diseases, such as squamous cell carcinoma, human osteosarcoma, oligodendroglioma, etc. The overall coverage of disease types is sufficient and convenient for use.