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 *

161 related articles for article (PubMed ID: 35819635)

  • 1. Integrated Analysis and Identification of CSF-Derived Risk miRNAs and Pivotal Genes in Multiple Sclerosis.
    Su Y; Li Z; Rang X; Wang Y; Fu J
    J Mol Neurosci; 2022 Sep; 72(9):1916-1928. PubMed ID: 35819635
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of the miRNA-mRNA regulatory network in multiple sclerosis.
    Yang Q; Pan W; Qian L
    Neurol Res; 2017 Feb; 39(2):142-151. PubMed ID: 27809691
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification and functional analysis of specific MS risk miRNAs and their target genes.
    Luo D; Wang J; Zhang X; Rang X; Xu C; Fu J
    Mult Scler Relat Disord; 2020 Jun; 41():102044. PubMed ID: 32179484
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Integrated MicroRNA Expression Profile Reveals Dysregulated miR-20a-5p and miR-200a-3p in Liver Fibrosis.
    Ye M; Wang S; Sun P; Qie J
    Biomed Res Int; 2021; 2021():9583932. PubMed ID: 34235224
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Bioinformatics-Based Study to Investigate Potential Differentially Expressed Genes and miRNAs in Pediatric Sepsis.
    Xie K; Kong S; Li F; Zhang Y; Wang J; Zhao W
    Med Sci Monit; 2020 Jun; 26():e923881. PubMed ID: 32575108
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of key microRNAs and genes associated with abdominal aortic aneurysm based on the gene expression profile.
    Yang P; Cai Z; Wu K; Hu Y; Liu L; Liao M
    Exp Physiol; 2020 Jan; 105(1):160-173. PubMed ID: 31553078
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Bioinformatics Analysis Identifies the Estrogen Receptor 1 (ESR1) Gene and hsa-miR-26a-5p as Potential Prognostic Biomarkers in Patients with Intrahepatic Cholangiocarcinoma.
    Qin X; Song Y
    Med Sci Monit; 2020 May; 26():e921815. PubMed ID: 32435051
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
    Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
    Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of key genes and microRNAs for multiple sclerosis using bioinformatics analysis.
    Xu ZB; Feng X; Zhu WN; Qiu ML
    Medicine (Baltimore); 2021 Dec; 100(48):e27667. PubMed ID: 35049167
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrated Bioinformatics Analysis of mRNAs and miRNAs Identified Potential Biomarkers of Oral Squamous Cell Carcinoma.
    Amiri-Dashatan N; Koushki M; Jalilian A; Ahmadi NA; Rezaei-Tavirani M
    Asian Pac J Cancer Prev; 2020 Jun; 21(6):1841-1848. PubMed ID: 32597160
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of miRNA-mRNA crosstalk in pancreatic cancer by integrating transcriptome analysis.
    Yang J; Zeng Y
    Eur Rev Med Pharmacol Sci; 2015; 19(5):825-34. PubMed ID: 25807437
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Study on potential differentially expressed genes in stroke by bioinformatics analysis.
    Yang X; Wang P; Yan S; Wang G
    Neurol Sci; 2022 Feb; 43(2):1155-1166. PubMed ID: 34313877
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Integrated analysis of microRNA regulatory network in nasopharyngeal carcinoma with deep sequencing.
    Wang F; Lu J; Peng X; Wang J; Liu X; Chen X; Jiang Y; Li X; Zhang B
    J Exp Clin Cancer Res; 2016 Jan; 35():17. PubMed ID: 26795575
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.