Selected article for: "computational analysis and deep sequencing"

Author: Monaghan, S. F.; Fredericks, A. M.; Jentzsch, M. S.; Cioffi, W. G.; Cohen, M.; Fairbrother, W. G.; Gandhi, S. J.; Harrington, E. O.; Nau, G. J.; Reichner, J. S.; Ventetuolo, C. E.; Levy, M. M.; Ayala, A.
Title: Deep RNA Sequencing of Intensive Care Unit Patients with COVID-19
  • Cord-id: zfdmcg6v
  • Document date: 2021_1_13
  • ID: zfdmcg6v
    Snippet: Purpose COVID-19 has impacted millions of patients across the world. Molecular testing occurring now identifies the presence of the virus at the sampling site: nasopharynx, nares, or oral cavity. RNA sequencing has the potential to establish both the presence of the virus and define the host response in COVID-19. Methods Single center, prospective study of patients with COVID-19 admitted to the intensive care unit where deep RNA sequencing (>100 million reads) of peripheral blood with computatio
    Document: Purpose COVID-19 has impacted millions of patients across the world. Molecular testing occurring now identifies the presence of the virus at the sampling site: nasopharynx, nares, or oral cavity. RNA sequencing has the potential to establish both the presence of the virus and define the host response in COVID-19. Methods Single center, prospective study of patients with COVID-19 admitted to the intensive care unit where deep RNA sequencing (>100 million reads) of peripheral blood with computational biology analysis was done. All patients had positive SARS-CoV-2 PCR. Clinical data was prospectively collected. Results We enrolled fifteen patients at a single hospital. Patients were critically ill with a mortality of 47% and 67% were on a ventilator. All the patients had the SARS-CoV-2 RNA identified in the blood in addition to RNA from other viruses, bacteria, and archaea. The expression of many immune modulating genes, including PD-L1 and PD-L2, were significantly different in patients who died from COVID-19. Some proteins were influenced by alternative transcription and splicing events, as seen in HLA-C, HLA-E, NRP1 and NRP2. Entropy calculated from alternative RNA splicing and transcription start/end predicted mortality in these patients. Conclusions Current upper respiratory tract testing for COVID-19 only determines if the virus is present. Deep RNA sequencing with appropriate computational biology may provide important prognostic information and point to therapeutic foci to be precisely targeted in future studies.

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