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 *

384 related articles for article (PubMed ID: 36154667)

  • 1. Identification of tubulointerstitial genes and ceRNA networks involved in diabetic nephropathy via integrated bioinformatics approaches.
    Cao H; Rao X; Jia J; Yan T; Li D
    Hereditas; 2022 Sep; 159(1):36. PubMed ID: 36154667
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bioinformatics Analysis of the Mechanisms of Diabetic Nephropathy
    Guo M; Dai Y; Jiang L; Gao J
    Front Endocrinol (Lausanne); 2022; 13():934022. PubMed ID: 35909518
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Three hematologic/immune system-specific expressed genes are considered as the potential biomarkers for the diagnosis of early rheumatoid arthritis through bioinformatics analysis.
    Cheng Q; Chen X; Wu H; Du Y
    J Transl Med; 2021 Jan; 19(1):18. PubMed ID: 33407587
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comprehensive analysis of diabetic nephropathy expression profile based on weighted gene co-expression network analysis algorithm.
    Gholaminejad A; Fathalipour M; Roointan A
    BMC Nephrol; 2021 Jul; 22(1):245. PubMed ID: 34215202
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of Serum Exosome-Derived circRNA-miRNA-TF-mRNA Regulatory Network in Postmenopausal Osteoporosis Using Bioinformatics Analysis and Validation in Peripheral Blood-Derived Mononuclear Cells.
    Dong Q; Han Z; Tian L
    Front Endocrinol (Lausanne); 2022; 13():899503. PubMed ID: 35757392
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Construction of endogenous RNA regulatory network for colorectal cancer based on bioinformatics.
    Li Y; Yuan F; Lin Z; Pan Y
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Apr; 47(4):416-430. PubMed ID: 35545337
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis.
    Xu B; Wang L; Zhan H; Zhao L; Wang Y; Shen M; Xu K; Li L; Luo X; Zhou S; Tang A; Liu G; Song L; Li Y
    J Diabetes Res; 2021; 2021():5546199. PubMed ID: 34124269
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Network pharmacology-based identification of miRNA expression of Astragalus membranaceus in the treatment of diabetic nephropathy.
    Dai Y; Guo M; Jiang L; Gao J
    Medicine (Baltimore); 2022 Feb; 101(5):e28747. PubMed ID: 35119030
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of miRNAs-genes regulatory network in diabetic nephropathy based on bioinformatics analysis.
    Yang F; Cui Z; Deng H; Wang Y; Chen Y; Li H; Yuan L
    Medicine (Baltimore); 2019 Jul; 98(27):e16225. PubMed ID: 31277135
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integrative analyses of biomarkers and pathways for diabetic nephropathy.
    Li B; Zhao X; Xie W; Hong Z; Zhang Y
    Front Genet; 2023; 14():1128136. PubMed ID: 37113991
    [No Abstract]   [Full Text] [Related]  

  • 12. Construction of the circRNA-miRNA-mRNA Regulatory Network of an Abdominal Aortic Aneurysm to Explore Its Potential Pathogenesis.
    Zhang H; Bian C; Tu S; Yin F; Guo P; Zhang J; Wu Y; Yin Y; Guo J; Han Y
    Dis Markers; 2021; 2021():9916881. PubMed ID: 34777635
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of Functional Genes in Pterygium Based on Bioinformatics Analysis.
    Xu Y; Qiao C; He S; Lu C; Dong S; Wu X; Yan M; Zheng F
    Biomed Res Int; 2020; 2020():2383516. PubMed ID: 33299863
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Key Genes Involved in Diabetic Nephropathy Investigated by Microarray Analysis.
    Liu X; Li X
    J Comput Biol; 2019 Dec; 26(12):1438-1447. PubMed ID: 31356112
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Integrative analysis of potential biomarkers and immune cell infiltration in Parkinson's disease.
    Chen X; Cao W; Zhuang Y; Chen S; Li X
    Brain Res Bull; 2021 Dec; 177():53-63. PubMed ID: 34536521
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cross talk between bacterial and human gene networks enriched using ncRNAs in IBD disease.
    Elahimanesh M; Najafi M
    Sci Rep; 2023 May; 13(1):7704. PubMed ID: 37169818
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of Hub Genes and Potential ceRNA Networks of Diabetic Nephropathy by Weighted Gene Co-Expression Network Analysis.
    Li G; Zhang J; Liu D; Wei Q; Wang H; Lv Y; Ye Z; Liu G; Li L
    Front Genet; 2021; 12():767654. PubMed ID: 34790229
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bioinformatics Analysis Predicts hsa_circ_0026337/miR-197-3p as a Potential Oncogenic ceRNA Network for Non-Small Cell Lung Cancers.
    Zhang Q; Kang L; Li X; Li Z; Wen S; Fu X
    Anticancer Agents Med Chem; 2022; 22(5):874-886. PubMed ID: 34254931
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Investigation of mechanisms of mesenchymal stem cells for treatment of diabetic nephropathy via construction of a miRNA-TF-mRNA network.
    Yang H; Zhang X; Xin G
    Ren Fail; 2018 Nov; 40(1):136-145. PubMed ID: 29532746
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.