СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Sullivan Kelly Daniel, Galbraith Matthew Dominic, Kinning Kohl Thomas, Bartsch Kyle William, Levinsky Nik Caldwell, Araya Paula, Smith Keith Patrick, Granrath Ross Erich, Shaw Jessica Rose, Baxter Ryan Michael, Jordan Kimberly Rae, Russell Seth Aaron, Dzieciatkowska Monika Ewa, Reisz Julie Ann, Gamboni Fabia, Cendali Francesca Isabelle, Ghosh Tusharkanti, Monte Andrew Albert, Bennett Tellen Demeke, Miller Michael George, Hsieh Elena Wen-Yuan, D'Alessandro Angelo, Hansen Kirk Charles, Espinosa Joaquin Maximiliano
Аннотация
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.