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1.
Gene ; 518(1): 201-8, 2013 Apr 10.
Artigo em Inglês | MEDLINE | ID: mdl-23220021

RESUMO

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.


Assuntos
Carcinoma Hepatocelular/tratamento farmacológico , Ensaios de Seleção de Medicamentos Antitumorais/métodos , Neoplasias Hepáticas/tratamento farmacológico , Máquina de Vetores de Suporte , Antineoplásicos/farmacologia , Benzoquinonas/farmacologia , Carcinoma Hepatocelular/genética , Linhagem Celular Tumoral , Simulação por Computador , Doxorrubicina/farmacologia , Regulação Neoplásica da Expressão Gênica/efeitos dos fármacos , Humanos , Lactamas Macrocíclicas/farmacologia , Neoplasias Hepáticas/genética , Análise de Sequência com Séries de Oligonucleotídeos/métodos , Curva ROC , Transcriptoma
2.
Mol Cell Biochem ; 365(1-2): 251-62, 2012 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-22367176

RESUMO

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.


Assuntos
Diferenciação Celular , Peptídeos e Proteínas de Sinalização Intracelular/metabolismo , Proteínas com Domínio LIM/metabolismo , Proteínas Musculares/metabolismo , Via de Sinalização Wnt , Animais , Linhagem Celular , Núcleo Celular/fisiologia , Técnicas de Silenciamento de Genes , Genes Reporter , Peptídeos e Proteínas de Sinalização Intracelular/genética , Proteínas com Domínio LIM/genética , Luciferases/biossíntese , Luciferases/genética , Camundongos , Desenvolvimento Muscular , Fibras Musculares Esqueléticas/metabolismo , Fibras Musculares Esqueléticas/fisiologia , Proteínas Musculares/genética , Miogenina/genética , Miogenina/metabolismo , Cadeias Pesadas de Miosina/genética , Cadeias Pesadas de Miosina/metabolismo , Regiões Promotoras Genéticas , Interferência de RNA , Proteínas Recombinantes/biossíntese , Transcrição Gênica , Regulação para Cima , beta Catenina/biossíntese
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