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KMID : 1034820220180020277
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Molecular & Cellular Toxicology
2022 Volume.18 No. 2 p.277 ~ p.283
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Novel data archival system for multi-omics data of human exposure to harmful substances
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Shin Ga-Hee
Hong Ji-Man
Park Seo-Woo
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Abstract
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Background: Exposure to harmful environmental substances influences lifelong health, but the molecular interpretation of how it affects human health is poorly understood. Therefore, a framework that can efficiently apply the major technologies and fields related to exposomes is needed, as it would provide an important tool for the identification of the environmental factors affecting human health.
Object: We aimed to develop a system that integrates multi-omics data and archives this information to ensure that omics analysis information can be utilised to understand the molecular phenotypical concerns associated with exposure to harmful environmental substances in humans.
Result: We established a data archive system called Online Resource of Environmental Omics (OREO) that standardises multi-omics cohort sample data of humans exposed to harmful environmental substances; integrates unstructured data; and can search, share, and store information. In addition, data profiling is provided to ensure that it can be applied to integrated omics analysis visualisation tools such as cBioportal. In the case of long-term exposure to low concentrations of harmful environmental substances, an integrated analysis of clinical observation and omics data could be performed.
Conclusion: We provide a brief account of multi-omics data repositories, the data processing method, and an analysis pipeline for the application of omics data. This data processing ability helps to comprehensively understand multi-omics data regarding harmful environmental substances.
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KEYWORD
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Online Resource of Environmental Omics, Multi-omics, Data profiling, Integrated analysis, Exposome, Environmental health
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