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Increasing evidence suggests that mitochondrial variants have a significant impact on human disease. The emergence and development of single-cell technology enable us to investigate the mitochondrial variants at the individual cell and cell type levels. Therefore, we established scMitoV, which aims to offer a comprehensive atlas of mitochondrial variants at single-cell resolution across different tissues and diseases.
The current version of the scMitoV database includes 865 samples (562 disease and 303 normal samples) from 77 datasets, covering 21 human tissues and 37 primary diseases. These included 23 cancers, 4 neurodegenerative diseases, 6 metabolic diseases, and 4 autoimmune diseases. We identified disease-related mitochondrial variants by comparing the disease group and the normal group in different cell types for each disease.
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