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1.
Gene ; 518(1): 201-8, 2013 Apr 10.
Article in English | MEDLINE | ID: mdl-23220021

ABSTRACT

Hepatocellular carcinoma (HCC) is a severe liver malignancy with few drug treatment options. In finding an effective treatment for HCC, screening drugs that are already FDA-approved will fast track the clinical trial and drug approval process. Connectivity Map (CMap), a large repository of chemical-induced gene expression profiles, provides the opportunity to analyze drug properties on the basis of gene expression. Support Vector Machines (SVM) were utilized to classify the effectiveness of drugs against HCC using gene expression profiles in CMap. The results of this classification will help us (1) identify genes that are chemically sensitive, and (2) predict the effectiveness of remaining chemicals in CMap in the treatment of HCC and provide a prioritized list of possible HCC drugs for biological verification. Four HCC cell lines were treated with 146 distinct chemicals, and cell viability was examined. SVM successfully classified the effectiveness of the chemicals with an average Area Under ROC Curve (AUROC) of 0.9. Using reported HCC patient samples, we identified chemically sensitive genes that may be possible HCC therapeutic targets, including MT1E, MYC, and GADD45B. Using SVM, several known HCC inhibitors, such as geldanamycin, alvespimycin (HSP90 inhibitors), and doxorubicin (chemotherapy drug), were predicted. Seven out of the 23 predicted drugs were cardiac glycosides, suggesting a link between this drug category and HCC inhibition. The study demonstrates a strategy of in silico drug screening with SVM using a large repository of microarrays based on initial in vitro drug screening. Verifying these results biologically would help develop a more accurate chemical sensitivity model.


Subject(s)
Carcinoma, Hepatocellular/drug therapy , Drug Screening Assays, Antitumor/methods , Liver Neoplasms/drug therapy , Support Vector Machine , Antineoplastic Agents/pharmacology , Benzoquinones/pharmacology , Carcinoma, Hepatocellular/genetics , Cell Line, Tumor , Computer Simulation , Doxorubicin/pharmacology , Gene Expression Regulation, Neoplastic/drug effects , Humans , Lactams, Macrocyclic/pharmacology , Liver Neoplasms/genetics , Oligonucleotide Array Sequence Analysis/methods , ROC Curve , Transcriptome
2.
Mol Cell Biochem ; 365(1-2): 251-62, 2012 Jun.
Article in English | MEDLINE | ID: mdl-22367176

ABSTRACT

Previous studies have shown that Wnt signaling is involved in postnatal mammalian myogenesis; however, the downstream mechanism of Wnt signaling is not fully understood. This study reports that the murine four-and-a-half LIM domain 1 (Fhl1) could be stimulated by ß-catenin or LiCl treatment to induce myogenesis. In contrast, knockdown of the Fhl1 gene expression in C2C12 cells led to reduced myotube formation. We also adopted reporter assays to demonstrate that either ß-catenin or LiCl significantly activated the Fhl1 promoter, which contains four putative consensus TCF/LEF binding sites. Mutations of two of these sites caused a significant decrease in promoter activity by luciferase reporter assay. Thus, we suggest that Wnt signaling induces muscle cell differentiation, at least partly, through Fhl1 activation.


Subject(s)
Cell Differentiation , Intracellular Signaling Peptides and Proteins/metabolism , LIM Domain Proteins/metabolism , Muscle Proteins/metabolism , Wnt Signaling Pathway , Animals , Cell Line , Cell Nucleus/physiology , Gene Knockdown Techniques , Genes, Reporter , Intracellular Signaling Peptides and Proteins/genetics , LIM Domain Proteins/genetics , Luciferases/biosynthesis , Luciferases/genetics , Mice , Muscle Development , Muscle Fibers, Skeletal/metabolism , Muscle Fibers, Skeletal/physiology , Muscle Proteins/genetics , Myogenin/genetics , Myogenin/metabolism , Myosin Heavy Chains/genetics , Myosin Heavy Chains/metabolism , Promoter Regions, Genetic , RNA Interference , Recombinant Proteins/biosynthesis , Transcription, Genetic , Up-Regulation , beta Catenin/biosynthesis
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