BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

172 related articles for article (PubMed ID: 31392215)

  • 1. Screening and Bioinformatics Analysis of IgA Nephropathy Gene Based on GEO Databases.
    Qian W; Xiaoyi W; Zi Y
    Biomed Res Int; 2019; 2019():8794013. PubMed ID: 31392215
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bioinformatics analysis reveals novel hub gene pathways associated with IgA nephropathy.
    Jiang X; Xu Z; Du Y; Chen H
    Eur J Med Res; 2020 Sep; 25(1):40. PubMed ID: 32894197
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of key miRNAs and their targets in peripheral blood mononuclear cells of IgA nephropathy using bioinformatics analysis.
    Liu L; Yang Y; Yu D
    Medicine (Baltimore); 2021 Jul; 100(26):e26495. PubMed ID: 34190177
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of miRNA-mRNA network and immune-related gene signatures in IgA nephropathy by integrated bioinformatics analysis.
    Wei SY; Guo S; Feng B; Ning SW; Du XY
    BMC Nephrol; 2021 Nov; 22(1):392. PubMed ID: 34823491
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of the Genetic Influence of SARS-CoV-2 Infections on IgA Nephropathy Based on Bioinformatics Method.
    Deng X; Luo Y; Guan T; Guo X
    Kidney Blood Press Res; 2023; 48(1):367-384. PubMed ID: 37040729
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identifying potential biomarkers for the diagnosis and treatment of IgA nephropathy based on bioinformatics analysis.
    Li X; Zeng M; Liu J; Zhang S; Liu Y; Zhao Y; Wei C; Yang K; Huang Y; Zhang L; Xiao L
    BMC Med Genomics; 2023 Mar; 16(1):63. PubMed ID: 36978098
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Construction of miRNA-mRNA network for the identification of key biological markers and their associated pathways in IgA nephropathy by employing the integrated bioinformatics analysis.
    Noor F; Saleem MH; Aslam MF; Ahmad A; Aslam S
    Saudi J Biol Sci; 2021 Sep; 28(9):4938-4945. PubMed ID: 34466069
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comprehensive analysis of aberrantly expressed profiles of mRNA and its relationship with serum galactose-deficient IgA1 level in IgA nephropathy.
    Liu Y; Liu X; Jia J; Zheng J; Yan T
    J Transl Med; 2019 Sep; 17(1):320. PubMed ID: 31547815
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrated bioinformatics analysis reveals novel hub genes closely associated with pathological mechanisms of immunoglobulin A nephropathy.
    Zhang D; Cao Y; Zuo Y; Wang Z; Mi X; Tang W
    Exp Ther Med; 2019 Aug; 18(2):1235-1245. PubMed ID: 31316619
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of potential biomarkers and therapeutic targets for human IgA nephropathy and hypertensive nephropathy by bioinformatics analysis.
    Cui Y; Liu S; Cui W; Gao D; Zhou W; Luo P
    Mol Med Rep; 2017 Sep; 16(3):3087-3094. PubMed ID: 28713898
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Analysis of hub genes and molecular mechanisms in non-alcoholic steatohepatitis based on the gene expression omnibus database].
    Li LY; Wu JX
    Zhonghua Yi Xue Za Zhi; 2021 Nov; 101(40):3317-3322. PubMed ID: 34758532
    [No Abstract]   [Full Text] [Related]  

  • 12. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
    Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
    J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bioinformatics analyses of gene expression profile identify key genes and functional pathways involved in cutaneous lupus erythematosus.
    Gao ZY; Su LC; Wu QC; Sheng JE; Wang YL; Dai YF; Chen AP; He SS; Huang X; Yan GQ
    Clin Rheumatol; 2022 Feb; 41(2):437-452. PubMed ID: 34553293
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of key genes and pathways in IgA nephropathy using bioinformatics analysis.
    Hu SL; Wang D; Yuan FL; Lei QF; Zhang Y; Cheng JZ
    Medicine (Baltimore); 2020 Jul; 99(30):e21372. PubMed ID: 32791747
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Gene alterations in monocytes are pathogenic factors for immunoglobulin a nephropathy by bioinformatics analysis of microarray data.
    Guo Y; Gao W; Wang D; Liu W; Liu Z
    BMC Nephrol; 2018 Jul; 19(1):184. PubMed ID: 30029622
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of common key genes associated with Crohn's Disease and IgA nephropathy.
    Yuan J; Wang Z; Wang YP
    Eur Rev Med Pharmacol Sci; 2022 May; 26(10):3607-3620. PubMed ID: 35647843
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Transmembrane signaling molecules play a key role in the pathogenesis of IgA nephropathy: a weighted gene co-expression network analysis study.
    Gholaminejad A; Roointan A; Gheisari Y
    BMC Immunol; 2021 Dec; 22(1):73. PubMed ID: 34861820
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models.
    Al Mehedi Hasan M; Maniruzzaman M; Shin J
    Sci Rep; 2022 Aug; 12(1):13963. PubMed ID: 35978028
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification and validation of glomerulotubular crosstalk genes mediating IgA nephropathy by integrated bioinformatics.
    Bai Y; Li Y; Xi Y; Ma C
    BMC Nephrol; 2022 Apr; 23(1):143. PubMed ID: 35418061
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Expression of CCL2, FOS, and JUN May Help to Distinguish Patients With IgA Nephropathy From Healthy Controls.
    Zhou X; Wang N; Zhang Y; Yu P
    Front Physiol; 2022; 13():840890. PubMed ID: 35464092
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.