Abstract
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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Acknowledgements
This study was supported by the Korea Environment Industry & Technology Institute through the Environmental Health Action Program funded by the Korea Ministry of Environment (2017001360005).
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GHS contributed to the conception of the study and wrote a section related to data archiving in the manuscript. JMH &SWP conceived and wrote the system-related part of the manuscript.
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G.H. Shin declares that he has no conflict of interest. J.M. Hong declares that he has no conflict of interest. S.W. Park declares that he has no conflict of interest.
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Shin, Gh., Hong, Jm. & Park, Sw. Novel data archival system for multi-omics data of human exposure to harmful substances. Mol. Cell. Toxicol. 18, 277–283 (2022). https://doi.org/10.1007/s13273-022-00226-0
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DOI: https://doi.org/10.1007/s13273-022-00226-0