FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3165558181> ?p ?o ?g. }

• W3165558181 endingPage "618" @default.
• W3165558181 startingPage "618" @default.
• W3165558181 abstract "Background: Monocytes are critical components, not only for innate immunity, but also for the activation of the adaptive immune system. Many studies in animals and humans have demonstrated that monocytes may be closely associated with chronic inflammatory diseases and be proved to be pivotal in the association between high-intensity exercise and anti-inflammation response. However, the underlying molecular mechanisms driving this are barely understood. The present study aimed to screen for potential hub genes and candidate signaling pathways associated with the effects of high-intensity exercise on human monocytes through bioinformatics analysis. Materials and Methods: The GSE51835 gene expression dataset was downloaded from the Gene Expression Omnibus database. The dataset consists of 12 monocyte samples from two groups of pre-exercise and post-exercise individuals. Identifying differentially expressed genes (DEGs) with R software, and functional annotation and pathway analyses were then performed with related web databases. Subsequently, a protein–protein interaction (PPI) network which discovers key functional protein and a transcription factors-DEGs network which predicts upstream regulators were constructed. Results: A total of 146 differentially expressed genes were identified, including 95 upregulated and 51 downregulated genes. Gene Ontology analysis indicated that in the biological process functional group, these DEGs were mainly involved in cellular response to hydrogen peroxide, response to unfolded protein, negative regulation of cell proliferation, cellular response to laminar fluid shear stress, and positive regulation of protein metabolic process. The top five enrichment pathways in a Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were the FoxO signaling pathway, protein processing in the endoplasmic reticulum, influenza A, the ErbB signaling pathway, and the MAPK signaling pathway. TNF, DUSP1, ATF3, CXCR4, NR4A1, BHLHE40, CDKN1B, SOCS3, TNFAIP3, and MCL1 were the top 10 potential hub genes. The most important modules obtained in the PPI network were performed KEGG pathway analysis, which showed that these genes were mainly involved in the MAPK signaling pathway, the IL-17 signaling pathway, the TNF signaling pathway, osteoclast differentiation, and apoptosis. A transcription factor (TF) target network illustrated that FOXJ2 was a critical regulatory factor. Conclusions: This study identified the essential genes and pathways associated with exercise and monocytes. Among these, four essential genes (TNF, DUSP1, CXCR4, and NR4A1) and the FoxO signaling pathway play vital roles in the immune function of monocytes. High-intensity exercise may improve the resistance of chronic inflammatory diseases by regulating the expression of these genes." @default.
• W3165558181 created "2021-06-07" @default.
• W3165558181 creator A5077831310 @default.
• W3165558181 creator A5085032536 @default.
• W3165558181 date "2021-05-22" @default.
• W3165558181 modified "2023-09-26" @default.
• W3165558181 title "Identification of Critical Genes and Signaling Pathways in Human Monocytes Following High-Intensity Exercise" @default.
• W3165558181 cites W1903281343 @default.
• W3165558181 cites W1995043249 @default.
• W3165558181 cites W1999966127 @default.
• W3165558181 cites W2000086683 @default.
• W3165558181 cites W2022213447 @default.
• W3165558181 cites W2027847170 @default.
• W3165558181 cites W2034041324 @default.
• W3165558181 cites W2055079769 @default.
• W3165558181 cites W2057247058 @default.
• W3165558181 cites W2060116667 @default.
• W3165558181 cites W2073359323 @default.
• W3165558181 cites W2081077945 @default.
• W3165558181 cites W2094930641 @default.
• W3165558181 cites W2095574540 @default.
• W3165558181 cites W2103017472 @default.
• W3165558181 cites W2103912979 @default.
• W3165558181 cites W2107281049 @default.
• W3165558181 cites W2107482158 @default.
• W3165558181 cites W2108014241 @default.
• W3165558181 cites W2112141400 @default.
• W3165558181 cites W2136850043 @default.
• W3165558181 cites W2140013858 @default.
• W3165558181 cites W2144708128 @default.
• W3165558181 cites W2146512944 @default.
• W3165558181 cites W2158217645 @default.
• W3165558181 cites W2159675211 @default.
• W3165558181 cites W2171029424 @default.
• W3165558181 cites W2177174891 @default.
• W3165558181 cites W2269838541 @default.
• W3165558181 cites W2301044272 @default.
• W3165558181 cites W2422685620 @default.
• W3165558181 cites W2465840688 @default.
• W3165558181 cites W2492294212 @default.
• W3165558181 cites W2536640519 @default.
• W3165558181 cites W2621044903 @default.
• W3165558181 cites W2638811768 @default.
• W3165558181 cites W2740573502 @default.
• W3165558181 cites W2784201854 @default.
• W3165558181 cites W2786308277 @default.
• W3165558181 cites W2818021799 @default.
• W3165558181 cites W2887237979 @default.
• W3165558181 cites W2891486965 @default.
• W3165558181 cites W2897945399 @default.
• W3165558181 cites W2899618557 @default.
• W3165558181 cites W2899973702 @default.
• W3165558181 cites W2900569176 @default.
• W3165558181 cites W2905579527 @default.
• W3165558181 cites W2916738215 @default.
• W3165558181 cites W2921025827 @default.
• W3165558181 cites W2921949390 @default.
• W3165558181 cites W2947606919 @default.
• W3165558181 cites W2949533528 @default.
• W3165558181 cites W2980593321 @default.
• W3165558181 cites W3018951806 @default.
• W3165558181 cites W4244373487 @default.
• W3165558181 cites W4294216483 @default.
• W3165558181 doi "https://doi.org/10.3390/healthcare9060618" @default.
• W3165558181 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8224747" @default.
• W3165558181 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34067297" @default.
• W3165558181 hasPublicationYear "2021" @default.
• W3165558181 type Work @default.
• W3165558181 sameAs 3165558181 @default.
• W3165558181 citedByCount "2" @default.
• W3165558181 countsByYear W31655581812022 @default.
• W3165558181 crossrefType "journal-article" @default.
• W3165558181 hasAuthorship W3165558181A5077831310 @default.
• W3165558181 hasAuthorship W3165558181A5085032536 @default.
• W3165558181 hasBestOaLocation W31655581811 @default.
• W3165558181 hasConcept C104317684 @default.
• W3165558181 hasConcept C136449434 @default.
• W3165558181 hasConcept C150194340 @default.
• W3165558181 hasConcept C152724338 @default.
• W3165558181 hasConcept C162317418 @default.
• W3165558181 hasConcept C18431079 @default.
• W3165558181 hasConcept C54355233 @default.
• W3165558181 hasConcept C62478195 @default.
• W3165558181 hasConcept C70721500 @default.
• W3165558181 hasConcept C86803240 @default.
• W3165558181 hasConcept C8891405 @default.
• W3165558181 hasConcept C9927688 @default.
• W3165558181 hasConceptScore W3165558181C104317684 @default.
• W3165558181 hasConceptScore W3165558181C136449434 @default.
• W3165558181 hasConceptScore W3165558181C150194340 @default.
• W3165558181 hasConceptScore W3165558181C152724338 @default.
• W3165558181 hasConceptScore W3165558181C162317418 @default.
• W3165558181 hasConceptScore W3165558181C18431079 @default.
• W3165558181 hasConceptScore W3165558181C54355233 @default.
• W3165558181 hasConceptScore W3165558181C62478195 @default.
• W3165558181 hasConceptScore W3165558181C70721500 @default.
• W3165558181 hasConceptScore W3165558181C86803240 @default.
• W3165558181 hasConceptScore W3165558181C8891405 @default.

• next