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• Targeted capture ctDNA Library CRCQV42Run051-19

  Targeted capture ctDNA Library CRCQV42Run051-19 from patient PBC0002294, buffy coat sample

  Dataset EGAD00001010812

• SINGLE-CELL RNA SEQUENCING Single-cell RNA sequencing was performed on 13 ‘mild-moderate’ and 10 ‘critical’ COVID19 PBMC samples

  Summary Epidemiological and clinical reports have indicated that SARS-CoV-2 virulence hinges upon the triggering of an aberrant host immune response, more so than on direct virus-induced cellular damage. To elucidate the immunopathology underlying COVID-19 severity, we performed cytokine and multiplex immune profiling in mild-moderate and critically ill COVID-19 patients. Hypercytokinemia in COVID-19 differed from the IFN-γ-driven cytokine storm in macrophage activation syndrome, and was more pronounced in critical versus mild-moderate COVID-19. Systems modelling of cytokine levels paired with deep-immune profiling showed that classical monocytes drive this hyper-inflammatory phenotype and that a reduction in T-lymphocytes correlates with disease severity, with CD8+ cells being disproportionately affected. Expression of antigen presenting machinery was also reduced in critical disease. Furthermore, we found that neutrophils contributed to disease severity and local tissue damage by amplification of hypercytokinemia and the formation of neutrophil extracellular traps. Together these findings suggest a myeloid-driven immunopathology, in which hyperactivated neutrophils and an ineffective adaptive immune system act as mediators of COVID-19 disease severity.

  Study EGAS00001005039

• Rapid Acceleration of Diagnostics - Digital Health Technologies (RADx-DHT): COVID-19 Experience Study (C19EX) Survey

  This was conducted virtually through the Achievement studies platform during the current COVID-19 pandemic. Participants were asked to complete a survey every day to capture information about whether they had experienced symptoms corresponding to respiratory, ILI, and COVID-19 infections within the previous 24 hour period, their experiences with the healthcare system, treatments, diagnostic testing, and their behaviors and potential risk factors. Participants were also asked to share their wearable activity tracker data. The purpose of this study was to better understand the geographic spread of diseases, impacts on daily life, and behavioral and physiological functioning in relation to recent self-reported respiratory disease, influenza-like-illness (ILI), and coronavirus disease (COVID-19) events.DOI: https://rapids.ll.mit.edu/10.57895/6m5z-je42

  Study phs002537

• Targeted capture ctDNA Library CRCQV42Run035-19

  Targeted capture ctDNA Library CRCQV42Run035-19 from patient PBC0002853, plasma 9 month sample

  Dataset EGAD00001010584

• Targeted capture ctDNA Library CRCQV42Run046-19

  Targeted capture ctDNA Library CRCQV42Run046-19 from patient PBC0001527, plasma 9 month sample

  Dataset EGAD00001010710

• Targeted capture ctDNA Library CRCQV42Run032-19

  Targeted capture ctDNA Library CRCQV42Run032-19 from patient PBC0001432, buffy coat sample

  Dataset EGAD00001010542

• Targeted capture ctDNA Library CRCQV42Run043-19

  Targeted capture ctDNA Library CRCQV42Run043-19 from patient PBC0004537, plasma 3 month sample

  Dataset EGAD00001010648

• Targeted capture ctDNA Library CRCQV42Run044-19

  Targeted capture ctDNA Library CRCQV42Run044-19 from patient PBC0005963, plasma 6 month sample

  Dataset EGAD00001010669

• Targeted capture ctDNA Library CRCQV42Run017-19

  Targeted capture ctDNA Library CRCQV42Run017-19 from patient PBC0001432, plasma 18 month sample

  Dataset EGAD00001010411

• Targeted capture ctDNA Library CRCQV42Run036-19

  Targeted capture ctDNA Library CRCQV42Run036-19 from patient PBC0004076, plasma 9 month sample

  Dataset EGAD00001010598