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Journal Abstract Search

186 related items for PubMed ID: 26498477

  • 1. Identification of key genes associated with the human abdominal aortic aneurysm based on the gene expression profile.
    Chen X, Zheng C, He Y, Tian L, Li J, Li D, Jin W, Li M, Zheng S.
    Mol Med Rep; 2015 Dec; 12(6):7891-8. PubMed ID: 26498477
    [Abstract] [Full Text] [Related]

  • 2. Identification of key genes and pathways involved in abdominal aortic aneurysm initiation and progression.
    Su Z, Gu Y.
    Vascular; 2022 Aug; 30(4):639-649. PubMed ID: 34139912
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  • 4. Bioinformatics analysis to screen key genes implicated in the differentiation of induced pluripotent stem cells to hepatocytes.
    Lin R, Wang Y, Ji K, Liu Z, Xiao S, Zhou D, Chen Q, Shi B.
    Mol Med Rep; 2018 Mar; 17(3):4351-4359. PubMed ID: 29328449
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  • 5. Screening key genes for abdominal aortic aneurysm based on gene expression omnibus dataset.
    Wan L, Huang J, Ni H, Yu G.
    BMC Cardiovasc Disord; 2018 Feb 13; 18(1):34. PubMed ID: 29439675
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  • 6. Identification of key microRNAs and genes associated with abdominal aortic aneurysm based on the gene expression profile.
    Yang P, Cai Z, Wu K, Hu Y, Liu L, Liao M.
    Exp Physiol; 2020 Jan 13; 105(1):160-173. PubMed ID: 31553078
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  • 9. Identification of key genes and pathways in abdominal aortic aneurysm by integrated bioinformatics analysis.
    Liu Y, Wang X, Wang H, Hu T.
    J Int Med Res; 2020 Apr 13; 48(4):300060519894437. PubMed ID: 31885343
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  • 12.  CUL4B, NEDD4, and UGT1As involve in the TGF-β signalling in hepatocellular carcinoma.
    Qu Z, Li D, Xu H, Zhang R, Li B, Sun C, Dong W, Zhang Y.
    Ann Hepatol; 2016 Apr 13; 15(4):568-76. PubMed ID: 27236156
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  • 13. Predicting Abdominal Aortic Aneurysm Target Genes by Level-2 Protein-Protein Interaction.
    Zhang K, Li T, Fu Y, Cui Q, Kong W.
    PLoS One; 2015 Apr 13; 10(10):e0140888. PubMed ID: 26496478
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  • 14. Exploring the Molecular Mechanism of Thoracic Aortic Aneurysm via Bioinformatics Analysis.
    Li H, Zhen Y, Geng Y, Feng J, Wang J, Zhang H.
    Med Sci Monit; 2018 Mar 14; 24():1533-1539. PubMed ID: 29538353
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  • 17. Identification of candidate genes for necrotizing enterocolitis based on microarray data.
    Chen G, Li Y, Su Y, Zhou L, Zhang H, Shen Q, Du C, Li H, Wen Z, Xia Y, Tang W.
    Gene; 2018 Jun 30; 661():152-159. PubMed ID: 29605607
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  • 18. Genes related to inflammation and bone loss process in periodontitis suggested by bioinformatics methods.
    Song L, Yao J, He Z, Xu B.
    BMC Oral Health; 2015 Sep 04; 15():105. PubMed ID: 26334995
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  • 19. Integrated microRNA‑gene analysis of coronary artery disease based on miRNA and gene expression profiles.
    Xu X, Li H.
    Mol Med Rep; 2016 Apr 04; 13(4):3063-73. PubMed ID: 26936111
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