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Journal Abstract Search

185 related items for PubMed ID: 35945307

  • 1. Pathogenesis and Therapeutic Targets of Focal Cortical Dysplasia Based on Bioinformatics Analysis.
    Kan Y, Feng L, Si Y, Zhou Z, Wang W, Yang J.
    Neurochem Res; 2022 Nov; 47(11):3506-3521. PubMed ID: 35945307
    [Abstract] [Full Text] [Related]

  • 2. Using biological information to analyze potential miRNA-mRNA regulatory networks in the plasma of patients with non-small cell lung cancer.
    Zhang W, Zhang Q, Che L, Xie Z, Cai X, Gong L, Li Z, Liu D, Liu S.
    BMC Cancer; 2022 Mar 21; 22(1):299. PubMed ID: 35313857
    [Abstract] [Full Text] [Related]

  • 3. Identification of Pivotal MicroRNAs and Target Genes Associated with Persistent Atrial Fibrillation Based on Bioinformatics Analysis.
    Xiao S, Zhou Y, Liu Q, Zhang T, Pan D.
    Comput Math Methods Med; 2021 Mar 21; 2021():6680211. PubMed ID: 33747117
    [Abstract] [Full Text] [Related]

  • 4. Microarray profile analysis identifies ETS1 as potential biomarker regulated by miR-23b and modulates TCF4 in gastric cancer.
    Mei D, Qi Y, Xia Y, Ma J, Hu H, Ai J, Chen L, Wu N, Liao D.
    World J Surg Oncol; 2021 Oct 23; 19(1):311. PubMed ID: 34686186
    [Abstract] [Full Text] [Related]

  • 5. Microarray data analysis on gene and miRNA expression to identify biomarkers in non-small cell lung cancer.
    Jin X, Guan Y, Zhang Z, Wang H.
    BMC Cancer; 2020 Apr 16; 20(1):329. PubMed ID: 32299382
    [Abstract] [Full Text] [Related]

  • 6. Screening and identification of novel candidate biomarkers of focal cortical dysplasia type II via bioinformatics analysis.
    Wang JY, Li Y, Lv YY, Jiang L.
    Childs Nerv Syst; 2022 May 16; 38(5):953-960. PubMed ID: 35112146
    [Abstract] [Full Text] [Related]

  • 7. Integrative analysis of potential biomarkers and immune cell infiltration in Parkinson's disease.
    Chen X, Cao W, Zhuang Y, Chen S, Li X.
    Brain Res Bull; 2021 Dec 16; 177():53-63. PubMed ID: 34536521
    [Abstract] [Full Text] [Related]

  • 8. Identification of miRNA-target gene regulatory networks in liver fibrosis based on bioinformatics analysis.
    Tai Y, Zhao C, Gao J, Lan T, Tong H.
    PeerJ; 2021 Dec 16; 9():e11910. PubMed ID: 34434654
    [Abstract] [Full Text] [Related]

  • 9. Bioinformatics Analysis Identifies the Estrogen Receptor 1 (ESR1) Gene and hsa-miR-26a-5p as Potential Prognostic Biomarkers in Patients with Intrahepatic Cholangiocarcinoma.
    Qin X, Song Y.
    Med Sci Monit; 2020 May 21; 26():e921815. PubMed ID: 32435051
    [Abstract] [Full Text] [Related]

  • 10. Identification of the Hub Genes and Potential Regulation Network in Chronic Hepatitis B via Bioinformatics Analysis.
    Fan J, Chen Y, Zhang W, Zhou X, Bai X, Chang C, Han Y, Liu J.
    Dis Markers; 2022 May 21; 2022():6113807. PubMed ID: 36193503
    [Abstract] [Full Text] [Related]

  • 11. Integrated Microarray to Identify the Hub miRNAs and Constructed miRNA-mRNA Network in Neuroblastoma Via Bioinformatics Analysis.
    Chen B, Hua Z, Qin X, Li Z.
    Neurochem Res; 2021 Feb 21; 46(2):197-212. PubMed ID: 33104965
    [Abstract] [Full Text] [Related]

  • 12. Both Peripheral Blood and Urinary miR-195-5p, miR-192-3p, miR-328-5p and Their Target Genes PPM1A, RAB1A and BRSK1 May Be Potential Biomarkers for Membranous Nephropathy.
    Zhou G, Zhang X, Wang W, Zhang W, Wang H, Xin G.
    Med Sci Monit; 2019 Mar 13; 25():1903-1916. PubMed ID: 30865617
    [Abstract] [Full Text] [Related]

  • 13. Identification of a Potential MiRNA-mRNA Regulatory Network for Osteoporosis by Using Bioinformatics Methods: A Retrospective Study Based on the Gene Expression Omnibus Database.
    Lin S, Wu J, Chen B, Li S, Huang H.
    Front Endocrinol (Lausanne); 2022 Mar 13; 13():844218. PubMed ID: 35620387
    [Abstract] [Full Text] [Related]

  • 14. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
    Mou T, Zhu D, Wei X, Li T, Zheng D, Pu J, Guo Z, Wu Z.
    World J Surg Oncol; 2017 Mar 16; 15(1):63. PubMed ID: 28302149
    [Abstract] [Full Text] [Related]

  • 15. miR-30a-GNG2 and miR-15b-ACSS2 Interaction Pairs May Be Potentially Crucial for Development of Abdominal Aortic Aneurysm by Influencing Inflammation.
    Gan S, Pan Y, Mao J.
    DNA Cell Biol; 2019 Dec 16; 38(12):1540-1556. PubMed ID: 31730405
    [Abstract] [Full Text] [Related]

  • 16. Identification of crucial miRNAs and genes in esophageal squamous cell carcinoma by miRNA-mRNA integrated analysis.
    Zhong X, Huang G, Ma Q, Liao H, Liu C, Pu W, Xu L, Cai Y, Guo X.
    Medicine (Baltimore); 2019 Jul 16; 98(27):e16269. PubMed ID: 31277149
    [Abstract] [Full Text] [Related]

  • 17.
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  • 18. Investigation of key miRNAs and target genes in bladder cancer using miRNA profiling and bioinformatic tools.
    Canturk KM, Ozdemir M, Can C, Öner S, Emre R, Aslan H, Cilingir O, Ciftci E, Celayir FM, Aldemir O, Özen M, Artan S.
    Mol Biol Rep; 2014 Dec 16; 41(12):8127-35. PubMed ID: 25189652
    [Abstract] [Full Text] [Related]

  • 19. Identification of miRNA/mRNA-Negative Regulation Pairs in Nasopharyngeal Carcinoma.
    Liu M, Zhu K, Qian X, Li W.
    Med Sci Monit; 2016 Jun 28; 22():2215-34. PubMed ID: 27350400
    [Abstract] [Full Text] [Related]

  • 20. MicroRNA profiling reveals dysregulated microRNAs and their target gene regulatory networks in cemento-ossifying fibroma.
    Pereira TDSF, Brito JAR, Guimarães ALS, Gomes CC, de Lacerda JCT, de Castro WH, Coimbra RS, Diniz MG, Gomez RS.
    J Oral Pathol Med; 2018 Jan 28; 47(1):78-85. PubMed ID: 29032608
    [Abstract] [Full Text] [Related]

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