FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4205424097> ?p ?o ?g. }

• W4205424097 abstract "In fact, the risk of dying from CVD is significant when compared to the risk of developing end-stage renal disease (ESRD). Moreover, patients with severe CKD are often excluded from randomized controlled trials, making evidence-based therapy of comorbidities like CVD complicated. Thus, the goal of this study was to use an integrated bioinformatics approach to not only uncover Differentially Expressed Genes (DEGs), their associated functions, and pathways but also give a glimpse of how these two conditions are related at the molecular level. We started with GEO2R/R program (version 3.6.3, 64 bit) to get DEGs by comparing gene expression microarray data from CVD and CKD. Thereafter, the online STRING version 11.1 program was used to look for any correlations between all these common and/or overlapping DEGs, and the results were visualized using Cytoscape (version 3.8.0). Further, we used MCODE, a cytoscape plugin, and identified a total of 15 modules/clusters of the primary network. Interestingly, 10 of these modules contained our genes of interest (key genes). Out of these 10 modules that consist of 19 key genes (11 downregulated and 8 up-regulated), Module 1 (RPL13, RPLP0, RPS24, and RPS2) and module 5 (MYC, COX7B, and SOCS3) had the highest number of these genes. Then we used ClueGO to add a layer of GO terms with pathways to get a functionally ordered network. Finally, to identify the most influential nodes, we employed a novel technique called Integrated Value of Influence (IVI) by combining the network's most critical topological attributes. This method suggests that the nodes with many connections (calculated by hubness score) and high spreading potential (the spreader nodes are intended to have the most impact on the information flow in the network) are the most influential or essential nodes in a network. Thus, based on IVI values, hubness score, and spreading score, top 20 nodes were extracted, in which RPS27A non-seed gene and RPS2, a seed gene, came out to be the important node in the network." @default.
• W4205424097 created "2022-01-25" @default.
• W4205424097 creator A5008022080 @default.
• W4205424097 creator A5019444818 @default.
• W4205424097 creator A5027913973 @default.
• W4205424097 creator A5031122786 @default.
• W4205424097 creator A5039713957 @default.
• W4205424097 creator A5044013823 @default.
• W4205424097 creator A5050239981 @default.
• W4205424097 creator A5053008837 @default.
• W4205424097 creator A5054005022 @default.
• W4205424097 creator A5060003307 @default.
• W4205424097 creator A5063431971 @default.
• W4205424097 date "2022-01-05" @default.
• W4205424097 modified "2023-10-16" @default.
• W4205424097 title "Network-Based Approach and IVI Methodologies, a Combined Data Investigation Identified Probable Key Genes in Cardiovascular Disease and Chronic Kidney Disease" @default.
• W4205424097 cites W1510691065 @default.
• W4205424097 cites W2021947606 @default.
• W4205424097 cites W2047647552 @default.
• W4205424097 cites W2054630908 @default.
• W4205424097 cites W2068308602 @default.
• W4205424097 cites W2079076862 @default.
• W4205424097 cites W2104042033 @default.
• W4205424097 cites W2115530814 @default.
• W4205424097 cites W2117024463 @default.
• W4205424097 cites W2121393149 @default.
• W4205424097 cites W2152026276 @default.
• W4205424097 cites W2161604082 @default.
• W4205424097 cites W2168206388 @default.
• W4205424097 cites W2169589032 @default.
• W4205424097 cites W2396056682 @default.
• W4205424097 cites W2537623931 @default.
• W4205424097 cites W2585020362 @default.
• W4205424097 cites W2597262730 @default.
• W4205424097 cites W2612455545 @default.
• W4205424097 cites W2765203444 @default.
• W4205424097 cites W2767823042 @default.
• W4205424097 cites W2769582432 @default.
• W4205424097 cites W2790937047 @default.
• W4205424097 cites W2796491734 @default.
• W4205424097 cites W2808855157 @default.
• W4205424097 cites W2904356389 @default.
• W4205424097 cites W2928665623 @default.
• W4205424097 cites W2948445876 @default.
• W4205424097 cites W2969577495 @default.
• W4205424097 cites W2979381300 @default.
• W4205424097 cites W2986956954 @default.
• W4205424097 cites W2999265996 @default.
• W4205424097 cites W3000620661 @default.
• W4205424097 cites W3007757062 @default.
• W4205424097 cites W3011727504 @default.
• W4205424097 cites W3022714562 @default.
• W4205424097 cites W3027656873 @default.
• W4205424097 cites W3036634556 @default.
• W4205424097 cites W3040841937 @default.
• W4205424097 cites W3098448794 @default.
• W4205424097 cites W3100097016 @default.
• W4205424097 cites W3113255791 @default.
• W4205424097 cites W3115495889 @default.
• W4205424097 cites W3130698420 @default.
• W4205424097 cites W3160058665 @default.
• W4205424097 cites W3175932478 @default.
• W4205424097 cites W4211210745 @default.
• W4205424097 cites W4229508150 @default.
• W4205424097 cites W4235153859 @default.
• W4205424097 cites W4240972392 @default.
• W4205424097 cites W57306529 @default.
• W4205424097 doi "https://doi.org/10.3389/fcvm.2021.755321" @default.
• W4205424097 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35071341" @default.
• W4205424097 hasPublicationYear "2022" @default.
• W4205424097 type Work @default.
• W4205424097 citedByCount "2" @default.
• W4205424097 countsByYear W42054240972022 @default.
• W4205424097 crossrefType "journal-article" @default.
• W4205424097 hasAuthorship W4205424097A5008022080 @default.
• W4205424097 hasAuthorship W4205424097A5019444818 @default.
• W4205424097 hasAuthorship W4205424097A5027913973 @default.
• W4205424097 hasAuthorship W4205424097A5031122786 @default.
• W4205424097 hasAuthorship W4205424097A5039713957 @default.
• W4205424097 hasAuthorship W4205424097A5044013823 @default.
• W4205424097 hasAuthorship W4205424097A5050239981 @default.
• W4205424097 hasAuthorship W4205424097A5053008837 @default.
• W4205424097 hasAuthorship W4205424097A5054005022 @default.
• W4205424097 hasAuthorship W4205424097A5060003307 @default.
• W4205424097 hasAuthorship W4205424097A5063431971 @default.
• W4205424097 hasBestOaLocation W42054240971 @default.
• W4205424097 hasConcept C104317684 @default.
• W4205424097 hasConcept C126322002 @default.
• W4205424097 hasConcept C150194340 @default.
• W4205424097 hasConcept C186836561 @default.
• W4205424097 hasConcept C18903297 @default.
• W4205424097 hasConcept C26517878 @default.
• W4205424097 hasConcept C2779134260 @default.
• W4205424097 hasConcept C54355233 @default.
• W4205424097 hasConcept C60644358 @default.
• W4205424097 hasConcept C70721500 @default.
• W4205424097 hasConcept C71924100 @default.
• W4205424097 hasConcept C8415881 @default.
• W4205424097 hasConcept C86803240 @default.
• W4205424097 hasConceptScore W4205424097C104317684 @default.

• next