BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

164 related articles for article (PubMed ID: 26472186)

  • 21. Unveiling the principle of microRNA-mediated redundancy in cellular pathway regulation.
    Fischer S; Handrick R; Aschrafi A; Otte K
    RNA Biol; 2015; 12(3):238-47. PubMed ID: 25826657
    [TBL] [Abstract][Full Text] [Related]  

  • 22. psSubpathway: a software package for flexible identification of phenotype-specific subpathways in cancer progression.
    Han J; Han X; Kong Q; Cheng L
    Bioinformatics; 2020 Apr; 36(7):2303-2305. PubMed ID: 31821408
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Energizing miRNA research: a review of the role of miRNAs in lipid metabolism, with a prediction that miR-103/107 regulates human metabolic pathways.
    Wilfred BR; Wang WX; Nelson PT
    Mol Genet Metab; 2007 Jul; 91(3):209-17. PubMed ID: 17521938
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Identifying Interaction Clusters for MiRNA and MRNA Pairs in TCGA Network.
    Dai X; Ding L; Liu H; Xu Z; Jiang H; Handelman SK; Bai Y
    Genes (Basel); 2019 Sep; 10(9):. PubMed ID: 31514484
    [TBL] [Abstract][Full Text] [Related]  

  • 25. The Emerging Role of MitomiRs in the Pathophysiology of Human Disease.
    Duarte FV; Palmeira CM; Rolo AP
    Adv Exp Med Biol; 2015; 888():123-54. PubMed ID: 26663182
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Discovery of microRNA regulatory networks by integrating multidimensional high-throughput data.
    Yang JH; Qu LH
    Adv Exp Med Biol; 2013; 774():251-66. PubMed ID: 23377977
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identification of miRNA-Mediated Subpathways as Prostate Cancer Biomarkers Based on Topological Inference in a Machine Learning Process Using Integrated Gene and miRNA Expression Data.
    Ning Z; Yu S; Zhao Y; Sun X; Wu H; Yu X
    Front Genet; 2021; 12():656526. PubMed ID: 33841512
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Integrated analyses to reconstruct microRNA-mediated regulatory networks in mouse liver using high-throughput profiling.
    Hsu SD; Huang HY; Chou CH; Sun YM; Hsu MT; Tsou AP
    BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S12. PubMed ID: 25707768
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Connecting rules from paired miRNA and mRNA expression data sets of HCV patients to detect both inverse and positive regulatory relationships.
    Song R; Liu Q; Liu T; Li J
    BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S11. PubMed ID: 25707620
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Discovering functional microRNA-mRNA regulatory modules in heterogeneous data.
    Liu B; Liu L; Tsykin A; Goodall GJ; Cairns MJ; Li J
    Adv Exp Med Biol; 2013; 774():267-90. PubMed ID: 23377978
    [TBL] [Abstract][Full Text] [Related]  

  • 31. PlantMirnaT: miRNA and mRNA integrated analysis fully utilizing characteristics of plant sequencing data.
    Rhee S; Chae H; Kim S
    Methods; 2015 Jul; 83():80-7. PubMed ID: 25863133
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Comparative analysis of the small RNA transcriptomes of miiuy croaker revealed microRNA-mediated regulation of TLR signaling pathway response to Vibrio anguillarum infection.
    Xu G; Han J; Xu T
    Fish Shellfish Immunol; 2016 May; 52():248-57. PubMed ID: 26980609
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Identification of potential biomarkers for clear cell renal cell carcinoma based on microRNA-mRNA pathway relationships.
    Hao JF; Ren KM; Bai JX; Wang SN; Shao B; Cao N; Li X
    J Cancer Res Ther; 2014 Nov; 10 Suppl():C167-77. PubMed ID: 25450277
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A novel framework for inferring condition-specific TF and miRNA co-regulation of protein-protein interactions.
    Zhang J; Le TD; Liu L; He J; Li J
    Gene; 2016 Feb; 577(1):55-64. PubMed ID: 26611531
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Working together: combinatorial regulation by microRNAs.
    Friedman Y; Balaga O; Linial M
    Adv Exp Med Biol; 2013; 774():317-37. PubMed ID: 23377980
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Genome-wide mRNA and miRNA expression profiling reveal multiple regulatory networks in colorectal cancer.
    Vishnubalaji R; Hamam R; Abdulla MH; Mohammed MA; Kassem M; Al-Obeed O; Aldahmash A; Alajez NM
    Cell Death Dis; 2015 Jan; 6(1):e1614. PubMed ID: 25611389
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Dynamic modeling of miRNA-mediated feed-forward loops.
    Eduati F; Di Camillo B; Karbiener M; Scheideler M; Corà D; Caselle M; Toffolo G
    J Comput Biol; 2012 Feb; 19(2):188-99. PubMed ID: 22300320
    [TBL] [Abstract][Full Text] [Related]  

  • 38. miRNApath: a database of miRNAs, target genes and metabolic pathways.
    Chiromatzo AO; Oliveira TY; Pereira G; Costa AY; Montesco CA; Gras DE; Yosetake F; Vilar JB; Cervato M; Prado PR; Cardenas RG; Cerri R; Borges RL; Lemos RN; Alvarenga SM; Perallis VR; Pinheiro DG; Silva IT; Brandão RM; Cunha MA; Giuliatti S; Silva WA
    Genet Mol Res; 2007 Oct; 6(4):859-65. PubMed ID: 18058708
    [TBL] [Abstract][Full Text] [Related]  

  • 39. miRNAs: from biogenesis to networks.
    Russo G; Giordano A
    Methods Mol Biol; 2009; 563():303-52. PubMed ID: 19597793
    [TBL] [Abstract][Full Text] [Related]  

  • 40. High-throughput mRNA and miRNA profiling of epithelial-mesenchymal transition in MDCK cells.
    Shukla P; Vogl C; Wallner B; Rigler D; Müller M; Macho-Maschler S
    BMC Genomics; 2015 Nov; 16():944. PubMed ID: 26572553
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.