Establishment of the large-scale longitudinal multi-omics dataset in COVID-19 patients: data profile and biospecimen

• Published in: BMB reports Vol. 55; no. 9; pp. 465 - 471
• Main Authors: Jo, Hye-Yeong, Kim, Sang Cheol, Ahn, Do-Hwan, Lee, Siyoung, Chang, Se-Hyun, Jung, So-Young, Kim, Young-Jin, Kim, Eugene, Kim, Jung-Eun, Kim, Yeon-Sook, Park, Woong-Yang, Cho, Nam-Hyuk, Park, Donghyun, Lee, Ju-Hee, Park, Hyun-Young
• Format: Journal Article
• Language: English
• Published: Korea (South) Korean Society for Biochemistry and Molecular Biology 30.09.2022; 생화학분자생물학회
• Subjects: COVID-19; Cytokines; Humans; Pandemics; Receptors, Antigen, B-Cell - genetics; Receptors, Antigen, T-Cell - genetics; 화학
• ISSN: 1976-6696; 1976-670X
• DOI: 10.5483/BMBRep.2022.55.9.077

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. [BMB Reports 2022; 55(9): 465-471].