Projects

Medical Sciences Innovation Hub Program (MIH)

We aimed to establish a pipeline for the modeling of pathogenetic processes of human diseases to facilitate discovery of biomarkers and potential targets for therapeutic intervention. Our strategy is to combine the comprehensive study of disease model animals with multi-modal data derived from patients. It is therefore necessary to gather, integrate and analyze clinical data and multimodal data from patient-derived materials. To initiate this process, we have chosen Atopic Dermatitis (AD) as a model to generate a platform for data collection and integration, and performed a comprehensive study to stratify AD patients based on endophenotypes in collaboration with the RIKEN Medical Innovation Hub (RIKEN-MIH) program and Keio University Hospital. Within this framework, we have so far collected transcriptomic and histological data of skin tissue from approximately 60 AD patients and 25 healthy controls and will ultimately collect 200 and 50 samples from patients and healthy donors, respectively. These data are stored in a fully isolated server installed in RIKEN-MIH and are being integrated to facilitate our mathematical challenge for patient stratification. This collaboration with RIKEN-MIH and external university hospitals will be continued and even expanded to establish a seamless pipeline to collect, analyze and store patient-derived materials and information in RIKEN.

figure of Unsupervised clustering analysis of skin transcriptomic data identifies four clusters of AD patients

Figure:, Unsupervised clustering analysis of skin transcriptomic data identifies four clusters of AD patients.

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