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中度和重度新冠肺炎患者单细胞RNA测序中病毒转录本的差异表达及其对病情严重程度的影响

Differential Expression of Viral Transcripts From Single-Cell RNA Sequencing of Moderate and Severe COVID-19 Patients and Its Implications for Case Severity.

作者信息

Liu Teng, Jia Peilin, Fang Bingliang, Zhao Zhongming

机构信息

Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States.

Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.

出版信息

Front Microbiol. 2020 Oct 16;11:603509. doi: 10.3389/fmicb.2020.603509. eCollection 2020.

Abstract

With steady increase of new COVID-19 cases around the world, especially in the United States, health care resources in areas with the disease outbreak are quickly exhausted by overwhelming numbers of COVID-19 patients. Therefore, strategies that can effectively and quickly predict the disease progression and stratify patients for appropriate health care arrangements are urgently needed. We explored the features and evolutionary difference of viral gene expression in the SARS-CoV-2 infected cells from the bronchoalveolar lavage fluids of patients with moderate and severe COVID-19 using both single cell and bulk tissue transcriptome data. We found SARS-CoV-2 sequences were detectable in 8 types of immune related cells, including macrophages, T cells, and NK cells. We first reported that the SARS-CoV-2 ORF10 gene was differentially expressed in the severe vs. moderate samples. Specifically, ORF10 was abundantly expressed in infected cells of severe cases, while it was barely detectable in the infected cells of moderate cases. Consequently, the expression ratio of ORF10 to nucleocapsid (N) was significantly higher in severe than moderate cases ( = 0.0062). Moreover, we found transcription regulatory sequences (TRSs) of the viral leader sequence-independent fusions with a 5' joint point at position 1073 of SARS-CoV-2 genome were detected mainly in the patients with death outcome, suggesting its potential indication of clinical outcome. Finally, we identified the motifs in TRS of the viral leader sequence-dependent fusion events of SARS-CoV-2 and compared with that in SARS-CoV, suggesting its evolutionary trajectory. These results implicated potential roles and predictive features of viral transcripts in the pathogenesis of COVID-19 moderate and severe patients. Such features and evolutionary patterns require more data to validate in future.

摘要

随着全球新冠病毒肺炎(COVID-19)新病例的稳步增加,尤其是在美国,疾病爆发地区的医疗资源因大量COVID-19患者而迅速耗尽。因此,迫切需要能够有效且快速预测疾病进展并对患者进行分层以做出适当医疗安排的策略。我们使用单细胞和批量组织转录组数据,探索了中度和重度COVID-19患者支气管肺泡灌洗液中受严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染细胞中病毒基因表达的特征和进化差异。我们发现SARS-CoV-2序列在8种免疫相关细胞中可检测到,包括巨噬细胞、T细胞和自然杀伤(NK)细胞。我们首次报道SARS-CoV-2开放阅读框10(ORF10)基因在重度与中度样本中差异表达。具体而言,ORF10在重症病例的感染细胞中大量表达,而在中度病例的感染细胞中几乎检测不到。因此,重度病例中ORF10与核衣壳(N)的表达比值显著高于中度病例( = 0.0062)。此外,我们发现病毒前导序列非依赖性融合的转录调控序列(TRS),其5'连接点位于SARS-CoV-2基因组的第1073位,主要在死亡结局的患者中检测到,提示其对临床结局的潜在指示作用。最后,我们鉴定了SARS-CoV-2病毒前导序列依赖性融合事件的TRS中的基序,并与严重急性呼吸综合征冠状病毒(SARS-CoV)中的基序进行比较,提示其进化轨迹。这些结果暗示了病毒转录本在COVID-19中度和重度患者发病机制中的潜在作用和预测特征。此类特征和进化模式未来需要更多数据来验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5db/7596306/54b999c0cdc0/fmicb-11-603509-g001.jpg

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