These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

187 related articles for article (PubMed ID: 33463119)

  • 41. Altered expression of four miRNA (miR-1238-3p, miR-202-3p, miR-630 and miR-766-3p) and their potential targets in peripheral blood from vitiligo patients.
    Shang Z; Li H
    J Dermatol; 2017 Oct; 44(10):1138-1144. PubMed ID: 28500632
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Mechanisms of miR‑128‑3p in inhibiting osteoblast differentiation from bone marrow‑derived mesenchymal stromal cells.
    Zhang W; Zhu Y; Chen J; Wang J; Yao C; Chen C
    Mol Med Rep; 2020 Dec; 22(6):5041-5052. PubMed ID: 33174052
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Integrated analysis of long noncoding RNA-associated competing endogenous RNA network in periodontitis.
    Li S; Liu X; Li H; Pan H; Acharya A; Deng Y; Yu Y; Haak R; Schmidt J; Schmalz G; Ziebolz D
    J Periodontal Res; 2018 Aug; 53(4):495-505. PubMed ID: 29516510
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Construction and analysis of mRNA, miRNA, lncRNA, and TF regulatory networks reveal the key genes associated with prostate cancer.
    Ye Y; Li SL; Wang SY
    PLoS One; 2018; 13(8):e0198055. PubMed ID: 30138363
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Bioinformatics analysis of a TF-miRNA-lncRNA regulatory network in major depressive disorder.
    Bian Q; Chen J; Wu J; Ding F; Li X; Ma Q; Zhang L; Zou X; Chen J
    Psychiatry Res; 2021 May; 299():113842. PubMed ID: 33751989
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Co-expression network analysis identified hub genes critical to triglyceride and free fatty acid metabolism as key regulators of age-related vascular dysfunction in mice.
    Li H; Wang X; Lu X; Zhu H; Li S; Duan S; Zhao X; Zhang F; Alterovitz G; Wang F; Li Q; Tian XL; Xu M
    Aging (Albany NY); 2019 Sep; 11(18):7620-7638. PubMed ID: 31514170
    [No Abstract]   [Full Text] [Related]  

  • 47. Crucial microRNAs and genes of human primary breast cancer explored by microRNA-mRNA integrated analysis.
    Yang Y; Xing Y; Liang C; Hu L; Xu F; Chen Y
    Tumour Biol; 2015 Jul; 36(7):5571-9. PubMed ID: 25680412
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Integrated analyses to reconstruct microRNA-mediated regulatory networks in mouse liver using high-throughput profiling.
    Hsu SD; Huang HY; Chou CH; Sun YM; Hsu MT; Tsou AP
    BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S12. PubMed ID: 25707768
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease.
    Liu J; Jing L; Tu X
    BMC Cardiovasc Disord; 2016 Mar; 16():54. PubMed ID: 26944061
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Identification of key microRNAs and hub genes in non-small-cell lung cancer using integrative bioinformatics and functional analyses.
    Song F; Xuan Z; Yang X; Ye X; Pan Z; Fang Q
    J Cell Biochem; 2020 Mar; 121(3):2690-2703. PubMed ID: 31692035
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Identification of key genes, MicroRNAs and potentially regulated pathways in alcoholic hepatitis by integrative analysis.
    Yao J; Cheng Y; Zhang D; Fan J; Zhao Z; Li Y; Jiang Y; Guo Y
    Gene; 2019 Dec; 720():144035. PubMed ID: 31404595
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Modular network inference between miRNA-mRNA expression profiles using weighted co-expression network analysis.
    Wani N; Barh D; Raza K
    J Integr Bioinform; 2021 Nov; 18(4):. PubMed ID: 34800012
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Identification of prognostic biomarkers for breast cancer based on miRNA and mRNA co-expression network.
    Yao Y; Liu R; Gao C; Zhang T; Qi L; Liu G; Zhang W; Wang X; Li J; Li J; Sun C
    J Cell Biochem; 2019 Sep; 120(9):15378-15388. PubMed ID: 31037764
    [TBL] [Abstract][Full Text] [Related]  

  • 54. micro-RNAs dependent regulation of DNMT and HIF1α gene expression in thrombotic disorders.
    Vijay A; Jha PK; Garg I; Sharma M; Ashraf MZ; Kumar B
    Sci Rep; 2019 Mar; 9(1):4815. PubMed ID: 30894555
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Identification of Potentially Functional CircRNA-miRNA-mRNA Regulatory Network in Hepatocellular Carcinoma by Integrated Microarray Analysis.
    Lin X; Chen Y
    Med Sci Monit Basic Res; 2018 Apr; 24():70-78. PubMed ID: 29706616
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Bioinformatics Analysis Identifies MicroRNAs and Target Genes Associated with Prognosis in Patients with Melanoma.
    Li Q; Zhang LY; Wu S; Huang C; Liu J; Wang P; Cao Y
    Med Sci Monit; 2019 Oct; 25():7784-7794. PubMed ID: 31621692
    [TBL] [Abstract][Full Text] [Related]  

  • 57. 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; 20(1):329. PubMed ID: 32299382
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Vitiligo blood transcriptomics provides new insights into disease mechanisms and identifies potential novel therapeutic targets.
    Dey-Rao R; Sinha AA
    BMC Genomics; 2017 Jan; 18(1):109. PubMed ID: 28129744
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Identification of Biomarkers Associated with Septic Cardiomyopathy Based on Bioinformatics Analyses.
    Chen M; Kong C; Zheng Z; Li Y
    J Comput Biol; 2020 Jan; 27(1):69-80. PubMed ID: 31424269
    [TBL] [Abstract][Full Text] [Related]  

  • 60. MicroRNA expression and gene regulation drive breast cancer progression and metastasis in PyMT mice.
    Nogales-Cadenas R; Cai Y; Lin JR; Zhang Q; Zhang W; Montagna C; Zhang ZD
    Breast Cancer Res; 2016 Jul; 18(1):75. PubMed ID: 27449149
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.