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Quantitative and qualitative subgenomic RNA profiles of SARS-CoV-2 in respiratory samples: A comparison between Omicron BA.2 and non-voc-d614g

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Virologica Sinica 2024年第2期39卷 218-227页

作者： Zigui Chen Rita Way Yin Ng grace Lui Lowell Ling Agnes S.Y.Leung Chit Chow Siaw Shi Boon Wendy C.S.Ho Maggie Haitian Wang Renee Wan Yi Chan Albert Martin Li david Shu Cheong Hui Paul Kay Sheung Chan department of Microbiology Faculty of MedicineThe Chinese University of Hong KongHong KongChina department of Medicine and Therapeutics Faculty of MedicineThe Chinese University of Hong KongHong KongChina department of Anaesthesia and Intensive Care Faculty of MedicineThe Chinese University of Hong KongHong KongChina department of Paediatrics Faculty of MedicineThe Chinese University of Hong KongHong KongChina department of Anatomical and Cellular Pathology Faculty of MedicineThe Chinese University of Hong KongHong KongChina Jockey Club School of Public Health and Primary Care Faculty of MedicineThe Chinese University of Hong KongHong KongChina Stanley Ho Centre for Emerging Infectious diseases Faculty of MedicineThe Chinese University of Hong KongHong KongChina

The SARS-CoV-2 Omicron variants are notorious for their transmissibility,but little is known about their subgenomic RNA(sgRNA)*** study applied RNA-seq to delineate the quantitative and qualitative profiles of canonical sgRNA of 118 respiratory samples collected from patients infected with Omicron BA.2 and compared with 338 patients infected with non-variant of concern(non-voc)-d614g.A unique characteristic profile depicted by the relative abundance of 9 canonical sgRNAs was reproduced by both BA.2 and non-vocd614g regardless of host gender,age and presence of ***,such profile was lost in samples with low viral load,suggesting a potential application of sgRNA pattern to indicate viral activity of individual patient at a specific time point.A characteristic qualitative profile of canonical sgRNAs was also reproduced by both BA.2 and *** presence of a full set of canonical sgRNAs carried a coherent correlation with crude viral load(AUC¼0.91,95%CI 0.88–0.94),and sgRNA ORF7b was identified to be the best surrogate marker allowing feasible routine application in characterizing the infection status of individual *** potentials in using sgRNA as a target for vaccine and antiviral development are worth pursuing.

关键词： Coronavirus SARS-CoV-2 Omicron BA.2 non-voc-d614g RNA-seq Subgenomic RNA(sgRNA)

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