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Systematic Analysis Reveals Important Features And Functions Of The PSAP Related Genes

Posted on:2020-07-11Degree:MasterType:Thesis
Country:ChinaCandidate:Y GaoFull Text:PDF
GTID:2404330596467376Subject:Biomedical engineering
Abstract/Summary:PDF Full Text Request
Non-synonymous Single Nucleotide Polymorphisms(SNPs)can lead to the amino acid changes(Single Amino-acid Polymorphisms,SAPs),which may result in functional changes of related proteins.Although many potential phosphorylation-related and kinaseassociated SAPs(pSAPs)have been predicted,those pSAPs related proteins are generally not validated at protein level and few are known about the features and functions of pSAPs.This study systematically explored the pSAPs as well as the expression profile and functions of their associated genes from various aspects.We first identified 847 highconfidence pSAPs,which involve 814 mutated proteins based on our previously identified SAPs and the known phosphorylation information.The pSAPs were associated with 690 genes,and these genes were broadly expressed in 27 normal tissues from GTEx(GenotypeTissue Expression)project.Also,a significant portion of them exhibited enriched expression in corresponding tissues.Moreover,most of those pSAPs related genes(90%)were differentially expressed and/or significantly associated with patient survival in 20 cancers of TCGA(The Cancer Genome Atlas).We also identified potential markers of pSAPs related genes(such as KIF15 and CCNB1)for the diagnosis and prognosis of associated cancers.Finally,we investigated how pSAPs functioned in the regulation of pathway signaling and tried to elucidate the mechanisms behind these associated diseases through the construction of protein-protein interaction network.Collectively,this study systematically analyzed the expression and functions of pSAPs related genes based on our identified high-confidence pSAPs,and examined the prognosis of those pSAPs related genes in different cancers,which may facilitate the cancer diagnosis and treatment.
Keywords/Search Tags:Cancers, pSAPs, Phosphorylation, Interaction network, Kinase
PDF Full Text Request
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