Linda Crnic Institute for Down Syndrome, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; Department of Pediatrics, Section of Developmental Biology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
Linda Crnic Institute for Down Syndrome, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; Department of Pharmacology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
Cell Rep. 2021 Aug 17;36(7):109527. doi: 10.1016/j.celrep.2021.109527. Epub 2021 Jul 28.
COVID-19 pathology involves dysregulation of diverse molecular, cellular, and physiological processes. To expedite integrated and collaborative COVID-19 research, we completed multi-omics analysis of hospitalized COVID-19 patients, including matched analysis of the whole-blood transcriptome, plasma proteomics with two complementary platforms, cytokine profiling, plasma and red blood cell metabolomics, deep immune cell phenotyping by mass cytometry, and clinical data annotation. We refer to this multidimensional dataset as the COVIDome. We then created the COVIDome Explorer, an online researcher portal where the data can be analyzed and visualized in real time. We illustrate herein the use of the COVIDome dataset through a multi-omics analysis of biosignatures associated with C-reactive protein (CRP), an established marker of poor prognosis in COVID-19, revealing associations between CRP levels and damage-associated molecular patterns, depletion of protective serpins, and mitochondrial metabolism dysregulation. We expect that the COVIDome Explorer will rapidly accelerate data sharing, hypothesis testing, and discoveries worldwide.
COVID-19 病理学涉及多种分子、细胞和生理过程的失调。为了加快 COVID-19 研究的综合和协作,我们对住院 COVID-19 患者进行了多组学分析,包括全血转录组的匹配分析、两个互补平台的血浆蛋白质组学、细胞因子谱分析、血浆和红细胞代谢组学、通过质谱流式细胞术进行深度免疫细胞表型分析,以及临床数据注释。我们将这个多维数据集称为 COVIDome。然后,我们创建了 COVIDome Explorer,这是一个在线研究人员门户,可在其中实时分析和可视化数据。我们通过对与 C 反应蛋白 (CRP) 相关的生物标志物的多组学分析说明了 COVIDome 数据集的使用,CRP 是 COVID-19 预后不良的既定标志物,该分析揭示了 CRP 水平与损伤相关分子模式、保护性丝氨酸蛋白酶耗竭和线粒体代谢失调之间的关联。我们预计 COVIDome Explorer 将迅速加快全球范围内的数据共享、假设检验和发现。