Establishment of the large-scale longitudinal multi-omics dataset in COVID-19 patients: data profile and biospecimenopen access
- Authors
- Jo, H.-Y.[Jo, H.-Y.]; Kim, S.C.[Kim, S.C.]; Ahn, D.-H.[Ahn, D.-H.]; Lee, S.[Lee, S.]; Chang, S.-H.[Chang, S.-H.]; Jung, S.-Y.[Jung, S.-Y.]; Kim, Y.-J.[Kim, Y.-J.]; Kim, E.[Kim, E.]; Kim, J.-E.[Kim, J.-E.]; Kim, Y.-S.[Kim, Y.-S.]; Park, W.-Y.[Park, W.-Y.]; Cho, N.-H.[Cho, N.-H.]; Park, D.[Park, D.]; Lee, J.-H.[Lee, J.-H.]; Park, H.-Y.[Park, H.-Y.]
- Issue Date
- 30-Sep-2022
- Publisher
- The Biochemical Society of the Republic of Korea
- Keywords
- Biobanking; Covid-19; Immunology; Infection biology; Multi-omics
- Citation
- BMB Reports, v.55, no.9, pp.465 - 472
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- BMB Reports
- Volume
- 55
- Number
- 9
- Start Page
- 465
- End Page
- 472
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/100762
- DOI
- 10.5483/BMBRep.2022.55.9.077
- ISSN
- 1976-6696
- Abstract
- 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 © 2022 by the The Korean Society for Biochemistry and Molecular Biology
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