FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2773368052> ?p ?o ?g. }

• W2773368052 endingPage "2983" @default.
• W2773368052 startingPage "2977" @default.
• W2773368052 abstract "// Gang Fang 1 , Qing Huai Zhang 1 , Qianqian Tang 2 , Zuling Jiang 3 , Shasha Xing 2 , Jianying Li 1 and Yuzhou Pang 1 1 Laboratory of Zhuang Medicine Prescriptions Basis and Application Research, Guangxi University of Chinese Medicine, Nanning, China 2 Department of Rheumatism, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, China 3 Department of Zhuang Medicine, The First Affiliated of Guangxi University of Chinese Medicine, Nanning, China Correspondence to: Yuzhou Pang, email: 2017pangyuzhou@sina.com Keywords: Biomarker; DNA methylation; GEO; gene expression; therapeutic methods Received: July 21, 2017      Accepted: November 03, 2017      Published: December 05, 2017 ABSTRACT Rheumatoid arthritis (RA) represents a common systemic autoimmune disease which lays chronic and persistent pain on patients. The purpose of our study is to identify novel RA-related genes and biological processes/pathways. All the datasets of this study, including gene expression and DNA methylation datasets of RA and OA samples, were obtained from the free available database, i.e. Gene Expression Omnibus (GEO). We firstly identified the differentially expressed genes (DEGs) between RA and OA samples through the limma package of R programming software followed by the functional enrichment analysis in the Database for Annotation, Visualization and Integrated Discovery (DAVID) for the exploring of potential involved biological processes/pathways of DEGs. For DNA methylation datasets, we used the IMA package for their normalization and identification of differential methylation genes (DMGs) in RA compared with OA samples. Comprehensive analysis of DEGs and DMGs was also conducted for the identification of valuable RA-related biomarkers. As a result, we obtained 394 DEGs and 363 DMGs in RA samples with the thresholds of |log2fold change|> 1 and p -value < 0.05, and |delta beta|> 0.2 and p -value < 0.05 respectively. Functional analysis of DEGs obtained immune and inflammation associated biological processes/pathways. Besides, several valuable biomarkers of RA, including BCL11B, CCDC88C, FCRLA and APOL6, were identified through the integrated analysis of gene expression and DNA methylation datasets. Our study should be helpful for the development of novel drugs and therapeutic methods for RA." @default.
• W2773368052 created "2017-12-22" @default.
• W2773368052 creator A5003094051 @default.
• W2773368052 creator A5037443928 @default.
• W2773368052 creator A5061494260 @default.
• W2773368052 creator A5061905939 @default.
• W2773368052 creator A5067326632 @default.
• W2773368052 creator A5085213375 @default.
• W2773368052 creator A5091128639 @default.
• W2773368052 date "2017-12-05" @default.
• W2773368052 modified "2023-10-09" @default.
• W2773368052 title "Comprehensive analysis of gene expression and DNA methylation datasets identify valuable biomarkers for rheumatoid arthritis progression" @default.
• W2773368052 cites W1488771302 @default.
• W2773368052 cites W1533107811 @default.
• W2773368052 cites W1556241643 @default.
• W2773368052 cites W1827491256 @default.
• W2773368052 cites W1889774544 @default.
• W2773368052 cites W1968142189 @default.
• W2773368052 cites W1977239175 @default.
• W2773368052 cites W1982336014 @default.
• W2773368052 cites W1988094624 @default.
• W2773368052 cites W1989211393 @default.
• W2773368052 cites W1993040460 @default.
• W2773368052 cites W2015451394 @default.
• W2773368052 cites W2023047365 @default.
• W2773368052 cites W2028092295 @default.
• W2773368052 cites W2032240994 @default.
• W2773368052 cites W2046089049 @default.
• W2773368052 cites W2061460524 @default.
• W2773368052 cites W2067398334 @default.
• W2773368052 cites W2072933919 @default.
• W2773368052 cites W2083340757 @default.
• W2773368052 cites W2083355618 @default.
• W2773368052 cites W2084737157 @default.
• W2773368052 cites W2085132270 @default.
• W2773368052 cites W2093758028 @default.
• W2773368052 cites W2096906176 @default.
• W2773368052 cites W2097948046 @default.
• W2773368052 cites W2102395431 @default.
• W2773368052 cites W2107545865 @default.
• W2773368052 cites W2116634113 @default.
• W2773368052 cites W2130941135 @default.
• W2773368052 cites W2135510881 @default.
• W2773368052 cites W2153379984 @default.
• W2773368052 cites W2155163498 @default.
• W2773368052 cites W2159675211 @default.
• W2773368052 cites W2161271012 @default.
• W2773368052 cites W2180756421 @default.
• W2773368052 cites W2294742170 @default.
• W2773368052 cites W2325473017 @default.
• W2773368052 cites W2329067329 @default.
• W2773368052 cites W2335232122 @default.
• W2773368052 cites W2739174192 @default.
• W2773368052 cites W4210968471 @default.
• W2773368052 cites W4323053507 @default.
• W2773368052 doi "https://doi.org/10.18632/oncotarget.22918" @default.
• W2773368052 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5790439" @default.
• W2773368052 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29423022" @default.
• W2773368052 hasPublicationYear "2017" @default.
• W2773368052 type Work @default.
• W2773368052 sameAs 2773368052 @default.
• W2773368052 citedByCount "10" @default.
• W2773368052 countsByYear W27733680522018 @default.
• W2773368052 countsByYear W27733680522019 @default.
• W2773368052 countsByYear W27733680522020 @default.
• W2773368052 countsByYear W27733680522021 @default.
• W2773368052 countsByYear W27733680522022 @default.
• W2773368052 countsByYear W27733680522023 @default.
• W2773368052 crossrefType "journal-article" @default.
• W2773368052 hasAuthorship W2773368052A5003094051 @default.
• W2773368052 hasAuthorship W2773368052A5037443928 @default.
• W2773368052 hasAuthorship W2773368052A5061494260 @default.
• W2773368052 hasAuthorship W2773368052A5061905939 @default.
• W2773368052 hasAuthorship W2773368052A5067326632 @default.
• W2773368052 hasAuthorship W2773368052A5085213375 @default.
• W2773368052 hasAuthorship W2773368052A5091128639 @default.
• W2773368052 hasBestOaLocation W27733680521 @default.
• W2773368052 hasConcept C104317684 @default.
• W2773368052 hasConcept C126322002 @default.
• W2773368052 hasConcept C142724271 @default.
• W2773368052 hasConcept C143998085 @default.
• W2773368052 hasConcept C150194340 @default.
• W2773368052 hasConcept C188947578 @default.
• W2773368052 hasConcept C190727270 @default.
• W2773368052 hasConcept C204787440 @default.
• W2773368052 hasConcept C2777575956 @default.
• W2773368052 hasConcept C2781197716 @default.
• W2773368052 hasConcept C33288867 @default.
• W2773368052 hasConcept C54355233 @default.
• W2773368052 hasConcept C556039675 @default.
• W2773368052 hasConcept C60644358 @default.
• W2773368052 hasConcept C70721500 @default.
• W2773368052 hasConcept C71924100 @default.
• W2773368052 hasConcept C86803240 @default.
• W2773368052 hasConceptScore W2773368052C104317684 @default.
• W2773368052 hasConceptScore W2773368052C126322002 @default.
• W2773368052 hasConceptScore W2773368052C142724271 @default.
• W2773368052 hasConceptScore W2773368052C143998085 @default.

• next