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Tumor heterogeneity and cancer-cell evolution through single-cell sequencing
Cancers are histologically heterogeneous. It is believed that this is because cancer cells are actually highly diverse and that, interestingly, this diversity is generated through a mechanism resembling Darwinian evolution. Revealing why and how cancer cells grow so diverse will help us understand tumor progression, invasion, and metastasis. It will also give us clues to prevent and eliminate cancer cells resistant to molecularly targeted drugs.
In this project, we use cutting-edge cell separation devices, next-generation sequencers, and bioinformatics techniques along with mathematical methods to analyze the genomes, transcriptomes, and epigenomes of individual cancer cells. Thereby we wish to uncover what happens at the molecular level in cancer cells and how intra-tumor heterogeneity is generated in a patient（Reference: Mamoru Kato, "Single-cell genomics of cancer", Journal of Clinical and Experimental Medicine, 2014, Vol. 249, 1088-1092, in Japanese; Mamoru Kato, "Data analysis of single-cell sequencing", Journal of Clinical and Experimental Medicine, 2016, Vol. 258, 317-323, in Japanese).