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Identification Of Biomakers In Alzheimer's Disease By WGCNA

Posted on:2020-09-04Degree:MasterType:Thesis
Country:ChinaCandidate:S T ZhongFull Text:PDF
GTID:2404330575499352Subject:Neurology
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Objective:Alzheimer disease(AD)is the most common neurodegenerative disease and is the leading cause of dementia worldwide.This study intends to use a weighted gene co-expression network analysis method to search for AD-related modules,and to further explore the biomarkers specifically expressed in AD.Methods:The chip data of 101 brain tissues from Gene Expression Omnibus(GEO)public database were used to construct a weighted gene co-expression network to search for AD-related modules.The limma packages of R language were used to analyze the differential gene expression between normal group and AD group,The non-coding RNA obtained from the intersection of different genes and genes in AD-related modules obtained from the application of Weighted Gene Co-Expression Network Analysis(WGCNA)was used as the research object,and the diagnostic value of the RNA was evaluated by Statistical Product and Service Solutions(SPSS)plotting and DAVID function annotation tool for gene function annotation.Results:1?Results of Weighted Gene Co-Expression Network Analysis: There are two gene modules significantly correlated with diagnosed AD,and the correlation between intra-module connectivity and gene importance was calculated,with both P values <0.05,indicating that the module are significantly correlated with diagnosed AD.2?Results of Differential expression analysis: Compared with the normal group,the expression of long non-coding RNA(lncRNA)LINC01094 in the diagnosed AD group was 2.4 times,P values<0.0001,and LINC01094 was identified in the gene module associated with diagnosed AD by WGCNA.3?Results of functional annotation LINC01094: LINC01094 is related to innate immunity,inflammation and TLR signaling pathway.4?Results of receiver operating characteristic(ROC)curve: The area under theROC curve of LINC01094 was 0.767(0.643,0.891).Conclusion:In this research,long non-coding RNA LINC01094 was screened by WGCNA and expressed differently in AD.LINC01094 may be involved in the pathological process of AD through innate immunity,inflammatory response and TLR signaling pathway,which can be used as a potential biomarker of alzheimer's disease and has certain diagnostic value for AD.
Keywords/Search Tags:Alzheimer disease, Weighted Gene Co-Expression Network Analysis, LINC01094, Diagnosis, biological function
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