Back to search

Article

Identification of six genes associated with COVID-19-related Circadian rhythm dysfunction by integrated bioinformatic analysis

2023-05-31

Abstract excerpt

<h4>Background: </h4> Patients with coronavirus disease 2019 (COVID-19) might cause long-term burden of insomnia, while the common pathogenic mechanisms are not elucidated. <h4>Methods: </h4> The gene expression profiles of COVID-19 patients and healthy controls were retrieved from the GEO database, while gene set related with circadian rhythm were obtained from Genecards database. The weight gene co-expression ne...

Topics

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

Identifiers and source

Literature Corpus work
656b5a9d-ea6a-528a-8453-ad6741aa80f0
DOI
10.21203/rs.3.rs-2934767/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identification of six genes associated with COVID-19-related Circadian rhythm dysfunction by integrated bioinformatic analysisDOI 10.21203/rs.3.rs-2934767/v1
Identification of six genes associated with COVID-19-related Circadian rhythm dysfunction by integrated bioinformatic analysisSemantic proximity
Screening key genes and signaling pathways in COVID-19 infection and its associated complications by integrated bioinformatics analysisSemantic proximity
Identification of hub genes and molecular subtypes in COVID-19 based on WGCNA.Semantic proximity
Elucidating sleep disorders: a comprehensive bioinformatics analysis of functional gene sets and hub genesSemantic proximity
Differential Co-Expression Network Analysis Reveals Key Hub-High Traffic Genes as Potential Therapeutic Targets for COVID-19 PandemicSemantic proximity
Identification of hub genes associated with COVID-19 and idiopathic pulmonary fibrosis by integrated bioinformatics analysisSemantic proximity
Identification and analysis of co-disease genes between COVID-19 and osteoarthritisSemantic proximity
Weighted Gene Co-Expression Network Analysis Combined with Machine Learning Validation to Identify Key Modules and Hub Genes Associated with SARS-CoV-2 InfectionSemantic proximity
Discovering Common Pathogenic Mechanisms of COVID-19 and Parkinson Disease: an Integrated Bioinformatics AnalysisSemantic proximity
Identifying potential novel insights for COVID-19 pathogenesis and therapeutics using an integrated bioinformatics analysis of host transcriptomeSemantic proximity
Transcriptome Analysis Reveals Hub Genes Regulating Autophagy in Patients With Severe COVID-19Semantic proximity
Identify and validate circadian regulators as potential prognostic markers and immune infiltrates in head and neck squamous cell carcinomaSemantic proximity
Select a neighboring publication to make it the new centre.