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Molecular Profiling of COVID-19 Autopsies Uncovers Novel Disease Mechanisms [Digital Spatial Profiling data]

ABSTRACT: Molecular Profiling of COVID-19 Autopsies Uncovers Novel Disease Mechanisms [Digital Spatial Profiling data]

PROVIDER: PRJNA760348 | ENA |

REPOSITORIES: ENA

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Molecular Profiling of COVID-19 Autopsies Uncovers Novel Disease Mechanisms [Digital Spatial Profiling data]

Project description:Our work illustrates how high-resolution molecular and spatial profiling of COVID-19 patient tissues collected during rapid autopsies can serve as a hypothesisgenerating tool to identify key mediators driving the pathophysiology of COVID-19 for diagnostic and therapeutic target testing. Here we employ bulk RNA sequencing to identify key regulators of COVID-19 and list specific mediators for further study as potential diagnostic and therapeutic targets. We use single-nuclei RNA sequencing to highlight the diversity and heterogeneity of coronavirus receptors within the brain, suggesting that it will be critical to expand the focus from ACE2 to include other receptors, such as BSG and ANPEP, and we perform digital spatial profiling of lung and lymph node tissue to compare two patients with different clinical courses and symptomatology.

2021-09-03 | GSE183356 | GEO

Molecular Profiling of COVID-19 Autopsies Uncovers Novel Disease Mechanisms [scRNA-Seq]

2021-08-20 | GSE182298 | GEO

Molecular Profiling of COVID-19 Autopsies Uncovers Novel Disease Mechanisms [RNA-Seq]

2021-08-20 | GSE182297 | GEO

Molecular Profiling of COVID-19 Autopsies Uncovers Novel Disease Mechanisms

Project description:Molecular Profiling of COVID-19 Autopsies Uncovers Novel Disease Mechanisms

| PRJNA755706 | ENA

Molecular Profiling of COVID-19 Autopsies Uncovers Novel Disease Mechanisms [RNA-Seq]

Project description:Molecular Profiling of COVID-19 Autopsies Uncovers Novel Disease Mechanisms [RNA-Seq]

| PRJNA755712 | ENA

Molecular Profiling of COVID-19 Autopsies Uncovers Novel Disease Mechanisms [scRNA-Seq]

Project description:Molecular Profiling of COVID-19 Autopsies Uncovers Novel Disease Mechanisms [scRNA-Seq]

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Nanostring GeoMx digital spatial profliing of myeloid cells from COVID-19 and normal lung

Project description:To determine definitively whether lung myeloid cells exhibit a pro- or anti-inflammatory signature in COVID-19 disease, we performed digital spatial profiling using the nanoString GeoMx ImmuneOncology plus COVID-19 platform on CD68+ macrophages, myeloperoxidase+ granulocytes and cytokeratin+ epithelium in normal and COVID-19 lung tissue specimens, collecting RNA expression data for each type within 6-8 regions of 5mM tissue sections. One COVID-19 lung tissue yielded minimal sequence data and was excluded from analysis. A volcano plot and heat map of differentially expressed genes within macrophages demonstrate that COVID-19 lung macrophages when compared with normal lung macrophages exhibit a largely alternatively activated, wound-healing signature characterized by expression of the alternatively active macrophage marker CD163, complement/coagulation genes (C1QA, C1QB, THBS1, C1S, C1R), IL6 signaling (STAT2, STAT1) and wound healing (COL3A1, COL6A3), but also interferon response signatures (ISG15, OAS3, IFITM2, IFI6, HLA-A, HLA-B, HLA-C) (Fig. 3H-J). As one of the tissues used for macrophage spatial profiling was from a patient was positive for the virus at the time of death, we compared the expression profiles of virus+ and virus- specimens and found that macrophages in virus+ tissues predominantly expressed an interferon-associated signature

2023-04-12 | GSE190494 | GEO

Molecular Profiling of Coronavirus Disease 2019 (COVID-19) Autopsies Uncovers Novel Disease Mechanisms.

Project description: Not available

| S-EPMC8423774 | biostudies-literature

Molecular Profiling of COVID-19 Autopsies Uncovers Novel Disease Mechanisms

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-08-20 | GSE182299 | GEO

Epigenetic fingerprint of the SARS-CoV-2 infection in the lung of lethal COVID-19.

Project description:Interrogation of the DNA methylome from lung autopsies of 36 patients who died of SARS-CoV-2 vs 18 control non-COVID-19 individuals.

2023-11-02 | GSE224464 | GEO

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