BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

364 related articles for article (PubMed ID: 34248836)

  • 1. Identification of Key Pathways and Genes in Obesity Using Bioinformatics Analysis and Molecular Docking Studies.
    Joshi H; Vastrad B; Joshi N; Vastrad C; Tengli A; Kotturshetti I
    Front Endocrinol (Lausanne); 2021; 12():628907. PubMed ID: 34248836
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of candidate biomarkers and therapeutic agents for heart failure by bioinformatics analysis.
    Kolur V; Vastrad B; Vastrad C; Kotturshetti S; Tengli A
    BMC Cardiovasc Disord; 2021 Jul; 21(1):329. PubMed ID: 34218797
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Investigation of candidate genes and mechanisms underlying obesity associated type 2 diabetes mellitus using bioinformatics analysis and screening of small drug molecules.
    Prashanth G; Vastrad B; Tengli A; Vastrad C; Kotturshetti I
    BMC Endocr Disord; 2021 Apr; 21(1):80. PubMed ID: 33902539
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gestational diabetes mellitus.
    Alur V; Raju V; Vastrad B; Tengli A; Vastrad C; Kotturshetti S
    Biosci Rep; 2021 May; 41(5):. PubMed ID: 33890634
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
    Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
    Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules.
    Devarbhavi P; Telang L; Vastrad B; Tengli A; Vastrad C; Kotturshetti I
    Reprod Biol Endocrinol; 2021 Feb; 19(1):31. PubMed ID: 33622336
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Exploring the molecular mechanisms of osteosarcoma by the integrated analysis of mRNAs and miRNA microarrays.
    Shen H; Wang W; Ni B; Zou Q; Lu H; Wang Z
    Int J Mol Med; 2018 Jul; 42(1):21-30. PubMed ID: 29620143
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bioinformatic Identification of the Pyroptosis-Related Transcription Factor-MicroRNA-Target Gene Regulatory Network in Angiotensin II-Induced Cardiac Remodeling and Validation of Key Components.
    Huang T; Ding J; Lin L; Han L; Yu L; Li M
    Front Biosci (Landmark Ed); 2023 Nov; 28(11):293. PubMed ID: 38062833
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of Skt11-regulated genes in chondrocytes by integrated bioinformatics analysis.
    Liang S; Zhang JM; Lv ZT; Cheng P; Zhu WT; Chen AM
    Gene; 2018 Nov; 677():340-348. PubMed ID: 30107230
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of Multiple Hub Genes and Pathways in Hepatocellular Carcinoma: A Bioinformatics Analysis.
    Liu J; Han F; Ding J; Liang X; Liu J; Huang D; Zhang C
    Biomed Res Int; 2021; 2021():8849415. PubMed ID: 34337056
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
    Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
    J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of important invasion and proliferation related genes in adrenocortical carcinoma.
    Alshabi AM; Vastrad B; Shaikh IA; Vastrad C
    Med Oncol; 2019 Jul; 36(9):73. PubMed ID: 31321566
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of hub genes related to the progression of type 1 diabetes by computational analysis.
    Prashanth G; Vastrad B; Tengli A; Vastrad C; Kotturshetti I
    BMC Endocr Disord; 2021 Apr; 21(1):61. PubMed ID: 33827531
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification and Validation of Potential Biomarkers and Pathways for Idiopathic Pulmonary Fibrosis by Comprehensive Bioinformatics Analysis.
    Qian W; Cai X; Qian Q; Zhang X
    Biomed Res Int; 2021; 2021():5545312. PubMed ID: 34285914
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of key genes and pathways of thyroid cancer by integrated bioinformatics analysis.
    Liu L; He C; Zhou Q; Wang G; Lv Z; Liu J
    J Cell Physiol; 2019 Dec; 234(12):23647-23657. PubMed ID: 31169306
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.
    Zhou J; Hui X; Mao Y; Fan L
    Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysis.
    Pujar M; Vastrad B; Kavatagimath S; Vastrad C; Kotturshetti S
    Sci Rep; 2022 Jun; 12(1):9157. PubMed ID: 35650387
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bioinformatics and Next-Generation Data Analysis for Identification of Genes and Molecular Pathways Involved in Subjects with Diabetes and Obesity.
    Ganekal P; Vastrad B; Kavatagimath S; Vastrad C; Kotrashetti S
    Medicina (Kaunas); 2023 Feb; 59(2):. PubMed ID: 36837510
    [No Abstract]   [Full Text] [Related]  

  • 19. Gene network in pulmonary tuberculosis based on bioinformatic analysis.
    Li L; Lv J; He Y; Wang Z
    BMC Infect Dis; 2020 Aug; 20(1):612. PubMed ID: 32811479
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bioinformatics Analysis Identifies Hub Genes and Molecular Pathways Involved in Sepsis-Induced Myopathy.
    Ning YL; Yang ZQ; Xian SX; Lin JZ; Lin XF; Chen WT
    Med Sci Monit; 2020 Feb; 26():e919665. PubMed ID: 32008037
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.