Article

Deciphering Novel SARS CoV-2 specific Disease Pathways from RNA Sequencing Data of COVID-19 Infected A549 Cells and Potential Therapeutics using Next Generation Knowledge Discovery Platforms

2021-06-22

Abstract excerpt

<title>Abstract</title> <p>BackgroundThe coronavirus (CoV) disease identified in Wuhan, China in 2019 (COVID-19) was chiefly characterized by atypical pneumonia and severe acute respiratory syndrome (SARS) and caused by SARS CoV-2 that belongs to the family Coronaviridae. COVID-19 symptoms vary from a mild cold to more severe illnesses such as SARS, thrombosis, stroke, organ failure, and in some patients even cau...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 93683bf7-5c32-55c3-935b-2b13adcbde48
DOI: 10.21203/rs.3.rs-589902/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deciphering Novel SARS CoV-2 specific Disease Pathways from RNA Sequencing Data of COVID-19 Infected A549 Cells and Potential Therapeutics using Next Generation Knowledge Discovery PlatformsDOI 10.21203/rs.3.rs-589902/v1Read

A Connectivity Map-Based Drug Repurposing Study and Integrative Analysis of Transcriptomic Profiling of SARS-CoV-2 InfectionSemantic proximity Read

Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patientsSemantic proximity Read

Identification of potential biomarkers and inhibitors for SARS-CoV-2 infectionSemantic proximity Read

Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: Insights from machine learning and bioinformatics approachesSemantic proximity Read

Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: insights from machine learning and bioinformatics approachesSemantic proximity Read

Identification of candidate repurposable drugs to combat COVID-19 using a signature-based approachSemantic proximity Read

Integrated bioinformatics analysis to determine the impact of SARS-CoV-2 infections to Heart Failure patientsSemantic proximity Read

A signaling pathway-driven bioinformatics pipeline for predicting therapeutics against emerging infectious diseasesSemantic proximity Read

Identification of Novel Gene Signatures using Next-Generation Sequencing Data from COVID-19 Infection Models: Focus on Neuro-COVID and Potential TherapeuticsSemantic proximity Read

Identification of key genes and pathways in the hPSC-derived lungs infected by the SARS-CoV-2Semantic proximity Read

Integrative Transcriptome Analyses Empower the Anti-COVID-19 Drug ArsenalSemantic proximity Read

Transcriptomic Signatures and Repurposing Drugs for COVID-19 Patients: Findings of Bioinformatics AnalysesSemantic proximity Read