BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

377 related articles for article (PubMed ID: 34744455)

  • 1. Identification of Novel Kinase-Transcription Factor-mRNA-miRNA Regulatory Network in Nasopharyngeal Carcinoma by Bioinformatics Analysis.
    Gao L; Zhou L; Huang X
    Int J Gen Med; 2021; 14():7453-7469. PubMed ID: 34744455
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bioinformatics Analysis of Choriocarcinoma-Related MicroRNA-Transcription Factor-Target Gene Regulatory Networks and Validation of Key miRNAs.
    Peng X; Zhang Z; Mo Y; Liu J; Wang S; Liu H
    Onco Targets Ther; 2021; 14():3903-3919. PubMed ID: 34234459
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of microRNA-mRNA-TF regulatory networks in periodontitis by bioinformatics analysis.
    Gao X; Zhao D; Han J; Zhang Z; Wang Z
    BMC Oral Health; 2022 Apr; 22(1):118. PubMed ID: 35397550
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of novel transcription factor-microRNA-mRNA co-regulatory networks in pulmonary large-cell neuroendocrine carcinoma.
    Cai C; Zeng Q; Zhou G; Mu X
    Ann Transl Med; 2021 Jan; 9(2):133. PubMed ID: 33569435
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of MicroRNA-Target Gene-Transcription Factor Regulatory Networks in Colorectal Adenoma Using Microarray Expression Data.
    Gao Y; Zhang S; Zhang Y; Qian J
    Front Genet; 2020; 11():463. PubMed ID: 32508878
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis.
    Zou Z; Gan S; Liu S; Li R; Huang J
    Oncol Lett; 2019 Jul; 18(1):916-926. PubMed ID: 31289570
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of Tissue-Specific Expressed Hub Genes and Potential Drugs in Rheumatoid Arthritis Using Bioinformatics Analysis.
    Xing X; Xia Q; Gong B; Shen Z; Zhang Y
    Front Genet; 2022; 13():855557. PubMed ID: 35368701
    [No Abstract]   [Full Text] [Related]  

  • 8. Identification of key differentially expressed mRNAs and microRNAs in non-small cell lung cancer using bioinformatics analysis.
    Wang W; Wang S; Pan L
    Exp Ther Med; 2020 Oct; 20(4):3720-3732. PubMed ID: 32855723
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comprehensive analysis of key genes associated with ceRNA networks in nasopharyngeal carcinoma based on bioinformatics analysis.
    Xu Y; Huang X; Ye W; Zhang Y; Li C; Bai P; Lin Z; Chen C
    Cancer Cell Int; 2020; 20():408. PubMed ID: 32863767
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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; 46(2):197-212. PubMed ID: 33104965
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of hub genes and transcription factor-miRNA-mRNA pathways in mice and human renal ischemia-reperfusion injury.
    Ke P; Qian L; Zhou Y; Feng L; Zhang Z; Zheng C; Chen M; Huang X; Wu X
    PeerJ; 2021; 9():e12375. PubMed ID: 34754625
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Construction of Circular RNA-MicroRNA-Messenger RNA Regulatory Network of Recurrent Implantation Failure to Explore Its Potential Pathogenesis.
    Luo J; Zhu L; Zhou N; Zhang Y; Zhang L; Zhang R
    Front Genet; 2020; 11():627459. PubMed ID: 33664765
    [No Abstract]   [Full Text] [Related]  

  • 13. Identification of a transcription factor-microRNA network in esophageal adenocarcinoma through bioinformatics analysis and validation through qRT-PCR.
    Chen D; Lu T; Tan J; Zhao K; Li Y; Zhao W; Li H; Wang Q; Wang Y; Wei L
    Cancer Manag Res; 2019; 11():3315-3326. PubMed ID: 31114367
    [No Abstract]   [Full Text] [Related]  

  • 14. Construction of Potential miRNA-mRNA Regulatory Network in COPD Plasma by Bioinformatics Analysis.
    Zhu M; Ye M; Wang J; Ye L; Jin M
    Int J Chron Obstruct Pulmon Dis; 2020; 15():2135-2145. PubMed ID: 32982206
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification and interaction analysis of key miRNAs in medullary thyroid carcinoma by bioinformatics analysis.
    Zhang L; Lu D; Liu M; Zhang M; Peng Q
    Mol Med Rep; 2019 Sep; 20(3):2316-2324. PubMed ID: 31322209
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Identification and Validation of miRNA-TF-mRNA Regulatory Networks in Uterine Fibroids.
    Peng X; Mo Y; Liu J; Liu H; Wang S
    Front Bioeng Biotechnol; 2022; 10():856745. PubMed ID: 35392402
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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; 13():844218. PubMed ID: 35620387
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comprehensive analysis of transcriptome data for identifying biomarkers and therapeutic targets in head and neck squamous cell carcinoma.
    Jin Y; Qin X
    Ann Transl Med; 2020 Mar; 8(6):282. PubMed ID: 32355726
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of key genes and microRNAs involved in kidney Wilms tumor by integrated bioinformatics analysis.
    Zhang L; Gao X; Zhou X; Qin Z; Wang Y; Li R; Tang M; Wang W; Zhang W
    Exp Ther Med; 2019 Oct; 18(4):2554-2564. PubMed ID: 31555364
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.