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Study On The Association Of Long Non-coding RNAs With Psoriasis Susceptibility

Posted on:2020-07-07Degree:MasterType:Thesis
Country:ChinaCandidate:Y DuFull Text:PDF
GTID:2404330590481317Subject:Dermatology and venereology
Abstract/Summary:PDF Full Text Request
Objective:The aim of this study was to screen and identify novel differentially expressed lnc RNAs and m RNAs in psoriasis by high-throughout sequencing technology.The target genes and functional enrichment analyses of lnc RNAs were conducted by bioinformatic analysis.The results were validated by real-time Quantitative Real-time PCR technology.Methods:3 samples from psoriasis patients and 2 samples from healthy volunteers were selected.Total RNA was extracted and reversely transcribed into c DNA.Illumina high-throughput sequencing platform was used to screen lnc RNA and m RNA after The c DNA library was successfully constructed(Screening criteria: fold change > 2,P<0.05).By calculating Pearson correlation coefficient and p value,the lnc RNA and m RNA relationship pairs were screened out,and the lncrna-mrna co-expression network was constructed,The biological functions of Lnc RNA and m RNA in the pathogenesis of psoriasis were further understood through Gene Ontology(GO)analysis and KEGG signaling pathway analysis.4 most significant differentially expressed lnc RNAs were selected to validate by Quantitative Real-time PCR(12 psoriasis samples,10 healthy samples).Results:1.A total of 1187 differentially expressed lnc RNAs were identified including 388 upregulated lnc RNAs and 799 downregulated lnc RNAs.As for differentially expressed m RNAs,there were 2787 differentially expressed genes consisting of 1121 upregulated genes and 1666 downregulated genes.2.Bioinformatics analysis showed that differentially expressed m RNA was involved in the positive regulation of neutropenal aggregation,chemokine producting,immune reaction and T cell activation.The results of KEGG enrichment analysis suggested that m RNAs with significantly different expressions were mainly enriched in pathways related to immunity,inflammatory response and lipid metabolism.The lnc RNA and m RNA co-expression network was established according to the Pearson coefficient,and the results showed that lnc RNA-related m RNA was mainly enriched in cell metabolism,lipid metabolism and other processes and other cellular biological processes.KEGG pathway analysis showed that lncrna-related m RNA was mainly enriched in metabolic pathways,PPAR and other inflammatory pathways.3.4 lnc RNAs of most significant different expression(TINCR,NEAT1,H19,MALAT1)were selected to conduct further experiment of validation via Quantitative Real-time PCR,The results were consistent with that of high-throughout sequencing.Conclusions :The present study identified a host of differentially expressed lnc RNAs and genes in psoriasis which may serve as potential key biomarkers and therapeutic targets,helping us to have a better understanding of the pathogenesis of psoriasis.
Keywords/Search Tags:psoriasis, long non-coding RNA, differentially expressed genes, Real-time fluorescence quantitative PCR, bioinformatics analysis
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