BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

442 related articles for article (PubMed ID: 34754625)

  • 1. 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]  

  • 2. Identification of biomarkers, immune infiltration landscape, and treatment targets of ischemia-reperfusion acute kidney injury at an early stage by bioinformatics methods.
    You R; Heyang Z; Ma Y; Xia P; Zheng H; Lin J; Ji P; Chen L
    Hereditas; 2022 Jun; 159(1):24. PubMed ID: 35658960
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of hub genes associated with acute kidney injury induced by renal ischemia-reperfusion injury in mice.
    He S; He L; Yan F; Li J; Liao X; Ling M; Jing R; Pan L
    Front Physiol; 2022; 13():951855. PubMed ID: 36246123
    [No Abstract]   [Full Text] [Related]  

  • 4. GPX3 and GSTT1 as biomarkers related to oxidative stress during renal ischemia reperfusion injuries and their relationship with immune infiltration.
    Pei J; Tian X; Yu C; Luo J; Zhang J; Hua Y; Wei G
    Front Immunol; 2023; 14():1136146. PubMed ID: 37033969
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Construction of the miRNA-mRNA regulatory network and analysis of hub genes in oral squamous cell carcinoma.
    Cui Z; Song Q; Chen Y; Yang K
    Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub; 2022 Sep; 166(3):280-289. PubMed ID: 35132271
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Construction of a transcription factor-miRNA-mRNA interactive network elucidates underlying pathogenesis for osteosarcoma and validation by qRT-PCR.
    Tang F; Jiang X; Liao S; Liu Y; He M
    Medicine (Baltimore); 2022 Oct; 101(41):e31049. PubMed ID: 36254052
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bioinformatic Analyses of Renal Ischaemia-Reperfusion Injury Models: Identification of Key Genes Involved in the Development of Kidney Disease.
    Zhu K; Zheng T; Chen X; Wang H
    Kidney Blood Press Res; 2018; 43(6):1898-1907. PubMed ID: 30566931
    [TBL] [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; 46(2):197-212. PubMed ID: 33104965
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Identification of biomarkers of renal ischemia-reperfusion injury by bioinformatics analysis and single-cell sequencing analysis combined with in vivo validation.
    Zhu Q; Ren S; Sun Z; Qin J; Sheng X
    Transpl Immunol; 2023 Dec; 81():101928. PubMed ID: 37704087
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Differentially expressed genes induced by β-caryophyllene in a rat model of cerebral ischemia-reperfusion injury.
    Liu S; Liu J; Wang Y; Deng L; Chen S; Wang X; Zuo T; Hu Q; Rao J; Wang Q; Dong Z
    Life Sci; 2021 May; 273():119293. PubMed ID: 33705733
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17.
    Li S; Wu X; Pei Y; Wang W; Zheng K; Qiu E; Zhang X
    DNA Cell Biol; 2019 Nov; 38(11):1323-1337. PubMed ID: 31536386
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identifying C1QB, ITGAM, and ITGB2 as potential diagnostic candidate genes for diabetic nephropathy using bioinformatics analysis.
    Hu Y; Yu Y; Dong H; Jiang W
    PeerJ; 2023; 11():e15437. PubMed ID: 37250717
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of Differentially Expressed Genes and miRNAs for Ulcerative Colitis Using Bioinformatics Analysis.
    Hu W; Fang T; Chen X
    Front Genet; 2022; 13():914384. PubMed ID: 35719390
    [No Abstract]   [Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 23.