BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

642 related articles for article (PubMed ID: 25717061)

  • 1. Identification of Early-Onset Preeclampsia-Related Genes and MicroRNAs by Bioinformatics Approaches.
    Song J; Li Y; An RF
    Reprod Sci; 2015 Aug; 22(8):954-63. PubMed ID: 25717061
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of potential crucial genes associated with early-onset preeclampsia via bioinformatic analysis.
    Kang Q; Li W; Xiao J; Yu N; Fan L; Sha M; Ma S; Wu J; Chen S
    Pregnancy Hypertens; 2021 Jun; 24():27-36. PubMed ID: 33640831
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of potential crucial genes associated with early-onset pre-eclampsia via a microarray analysis.
    Ma Y; Lin H; Zhang H; Song X; Yang H
    J Obstet Gynaecol Res; 2017 May; 43(5):812-819. PubMed ID: 28759171
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of key microRNAs and genes in preeclampsia by bioinformatics analysis.
    Luo S; Cao N; Tang Y; Gu W
    PLoS One; 2017; 12(6):e0178549. PubMed ID: 28594854
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA‑sequencing.
    Liu Y; Yang Z; Du F; Yang Q; Hou J; Yan X; Geng Y; Zhao Y; Wang H
    Mol Med Rep; 2017 Nov; 16(5):6674-6682. PubMed ID: 28901494
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analysis of gene expression identifies candidate markers and pathways in pre-eclampsia.
    He P; Shao D; Ye M; Zhang G
    J Obstet Gynaecol; 2015; 35(6):578-84. PubMed ID: 25528892
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identifying miRNA regulatory mechanisms in preeclampsia by systems biology approaches.
    Biró O; Nagy B; Rigó J
    Hypertens Pregnancy; 2017 Feb; 36(1):90-99. PubMed ID: 27835046
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bioinformatic Analysis of Potential microRNAs in Ischemic Stroke.
    He W; Chen S; Chen X; Li S; Chen W
    J Stroke Cerebrovasc Dis; 2016 Jul; 25(7):1753-1759. PubMed ID: 27151415
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Exploring the molecular mechanisms of osteosarcoma by the integrated analysis of mRNAs and miRNA microarrays.
    Shen H; Wang W; Ni B; Zou Q; Lu H; Wang Z
    Int J Mol Med; 2018 Jul; 42(1):21-30. PubMed ID: 29620143
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of biological targets of therapeutic intervention for diabetic nephropathy with bioinformatics approach.
    Wu T; Li Q; Wu T; Liu HY
    Exp Clin Endocrinol Diabetes; 2014 Nov; 122(10):587-91. PubMed ID: 25003364
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integrated microRNA‑gene analysis of coronary artery disease based on miRNA and gene expression profiles.
    Xu X; Li H
    Mol Med Rep; 2016 Apr; 13(4):3063-73. PubMed ID: 26936111
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An integrative bioinformatics analysis of microarray data for identifying hub genes as diagnostic biomarkers of preeclampsia.
    Liu K; Fu Q; Liu Y; Wang C
    Biosci Rep; 2019 Sep; 39(9):. PubMed ID: 31416885
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bioinformatics analysis on the differentiation of bone mesenchymal stem cells into osteoblasts and adipocytes.
    Xu X; Jiang H; Li X; Wu P; Liu J; Wang T; Zhou X; Xiong J; Li W
    Mol Med Rep; 2017 Apr; 15(4):1571-1576. PubMed ID: 28260060
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of key genes and miRNAs responsible for loss of muscle force in patients during an acute exacerbation of chronic obstructive pulmonary disease.
    Duan Y; Zhou M; Xiao J; Wu C; Zhou L; Zhou F; Du C; Song Y
    Int J Mol Med; 2016 Nov; 38(5):1450-1462. PubMed ID: 28025995
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Genome-wide expression and methylation profiles reveal candidate genes and biological processes underlying synovial inflammatory tissue of patients with osteoarthritis.
    Yang J; Wang N
    Int J Rheum Dis; 2015 Sep; 18(7):783-90. PubMed ID: 26171692
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Gene expression profiling via bioinformatics analysis reveals biomarkers in laryngeal squamous cell carcinoma.
    Guan GF; Zheng Y; Wen LJ; Zhang DJ; Yu DJ; Lu YQ; Zhao Y; Zhang H
    Mol Med Rep; 2015 Aug; 12(2):2457-64. PubMed ID: 25936657
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comprehensive analysis of gene-expression profile in chronic obstructive pulmonary disease.
    Wei L; Xu D; Qian Y; Huang G; Ma W; Liu F; Shen Y; Wang Z; Li L; Zhang S; Chen Y
    Int J Chron Obstruct Pulmon Dis; 2015; 10():1103-9. PubMed ID: 26089660
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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; 15(1):63. PubMed ID: 28302149
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of Differentially Expressed Genes and Signaling Pathways in Placenta Tissue of Early-Onset and Late-Onset Pre-Eclamptic Pregnancies by Integrated Bioinformatics Analysis.
    Liu J; Song G; Meng T; Zhao G
    Med Sci Monit; 2020 Jun; 26():e921997. PubMed ID: 32497025
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Investigation of crucial genes and microRNAs in conventional osteosarcoma using gene expression profiling analysis.
    Peng C; Yang Q; Wei B; Yuan B; Liu Y; Li Y; Gu D; Yin G; Wang B; Xu D; Zhang X; Kong D
    Mol Med Rep; 2017 Nov; 16(5):7617-7624. PubMed ID: 28944822
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 33.