Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

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

PROVIDER: PRJNA755713 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR15503364_1.fastq.gz	Fastqsanger.gz
	SRR15503364_2.fastq.gz	Fastqsanger.gz
	SRR15503365_1.fastq.gz	Fastqsanger.gz
	SRR15503365_2.fastq.gz	Fastqsanger.gz
	SRR15503366_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 24

Similar Datasets

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 [scRNA-Seq]

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.

2021-08-20 | 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 [Digital Spatial Profiling data]

2021-09-03 | GSE183356 | GEO

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 [Digital Spatial Profiling data]

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

| PRJNA760348 | ENA

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

Human cardiac organoids to model COVID‐19 cytokine storm induced cardiac injuries

Project description:Acute cardiac injuries occur in 20%–25% of hospitalized COVID‐19 patients. Herein, we demonstrate that human cardiac organoids (hCOs) are a viable platform to model the cardiac injuries caused by COVID‐19 hyperinflammation. As IL‐1β is an upstream cytokine and a core COVID‐19 signature cytokine, it was used to stimulate hCOs to induce the release of a milieu of proinflammatory cytokines that mirror the profile of COVID‐19 cytokine storm. The IL‐1β treated hCOs recapitulated transcriptomic, structural, and functional signatures of COVID‐19 hearts. The comparison of IL‐1β treated hCOs with cardiac tissue from COVID‐19 autopsies illustrated the critical roles of hyper‐inflammation in COVID‐19 cardiac insults and indicated the cardioprotective effects of endothelium. The IL‐1β treated hCOs thus provide a defined and robust model to assess the efficacy and potential side effects of immunomodulatory drugs, as well as the reversibility of COVID‐19 cardiac in- juries at baseline and simulated exercise conditions.

2023-12-20 | GSE250520 | GEO

Columbia University/NYP COVID-19 Lung Atlas

Project description:We profiled 116,314 cells using snRNA-seq of 20 frozen lungs obtained from 19 COVID-19 decedents and seven control patients with short postmortem interval (PMI) autopsies. The COVID-19 cohort comprises seven female and 12 male decedents, including 13 patients of Hispanic ethnicity, with an age range from 58 to >89 years who had acquired SARS-CoV-2 infection and succumbed to the disease. The average time from symptom onset to death was 27.5 days (range, 4–63 days). After rapid autopsy with a median PMI of 4 hours (range 2–9 hours) collected tissues were either flash-frozen or frozen following OCT (optimal cutting temperature) embedment and subjected to snRNA-seq using a droplet-based platform (10x Genomics). All included patients had underlying hypertensive disorder and frequently one or more additional co-morbidities associated with increased risk for severe COVID-19.

2021-04-29 | GSE171524 | GEO

Gene expression-based, COVID autopsies patient

Project description:Gene expression-based, COVID autopsies patient

| PRJNA852195 | ENA