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KMID : 0624620220550090465
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BMB Reports
2022 Volume.55 No. 9 p.465 ~ p.471
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Establishment of the large-scale longitudinal multi-omics dataset in COVID-19 patients: data profile and biospecimen
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Jo Hye-Yeong
Kim Sang-Cheol
Ahn Do-Hwan
Lee Si-Young
Chang Se-Hyun
Jung So-Young
Kim Young-Jin
Kim Eu-Gene
Kim Jung-Eun
Kim Yeon-Sook
Park Woong-Yang
Cho Nam-Hyuk
Park Dong-Hyun
Lee Ju-Hee
Park Hyun-Young
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Abstract
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Understanding and monitoring virus-mediated infections has gained importance since the global outbreak of the coronavirus disease 2019 (COVID-19) pandemic. Studies of high-throughput omics-based immune profiling of COVID-19 patients can help manage the current pandemic and future virus-mediated pandemics. Although COVID-19 is being studied since past 2 years, detailed mechanisms of the initial induction of dynamic immune responses or the molecular mechanisms that characterize disease progression remains unclear. This study involved comprehensively collected biospecimens and longitudinal multi-omics data of 300 COVID-19 patients and 120 healthy controls, including whole genome sequencing (WGS), single-cell RNA sequencing combined with T cell receptor (TCR) and B cell receptor (BCR) sequencing (scRNA(+scTCR/BCR)-seq), bulk BCR and TCR sequencing (bulk TCR/BCR-seq), and cytokine profiling. Clinical data were also collected from hospitalized COVID-19 patients, and HLA typing, laboratory characteristics, and COVID-19 viral genome sequencing were performed during the initial diagnosis. The entire set of biospecimens and multi-omics data generated in this project can be accessed by researchers from the National Biobank of Korea with prior approval. This distribution of largescale multi-omics data of COVID-19 patients can facilitate the understanding of biological crosstalk involved in COVID-19 infection and contribute to the development of potential methodologies for its diagnosis and treatment.
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KEYWORD
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Biobanking, COVID-19, Immunology, Infection biology, Multi-omics
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