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1.
Hum Genomics ; 10(1): 37, 2016 11 21.
Artigo em Inglês | MEDLINE | ID: mdl-27871310

RESUMO

BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD) causes progressive loss of renal function in adults as a consequence of the accumulation of cysts. ADPKD is the most common genetic cause of end-stage renal disease. Mutations in polycystin-1 occur in 87% of cases of ADPKD and mutations in polycystin-2 are found in 12% of ADPKD patients. The complexity of ADPKD has hampered efforts to identify the mechanisms underlying its pathogenesis. No current FDA (Federal Drug Administration)-approved therapies ameliorate ADPKD progression. RESULTS: We used the de Almeida laboratory's sensitive new transcriptogram method for whole-genome gene expression data analysis to analyze microarray data from cell lines developed from cell isolates of normal kidney and of both non-cystic nephrons and cysts from the kidney of a patient with ADPKD. We compared results obtained using standard Ingenuity Volcano plot analysis, Gene Set Enrichment Analysis (GSEA) and transcriptogram analysis. Transcriptogram analysis confirmed the findings of Ingenuity, GSEA, and published analysis of ADPKD kidney data and also identified multiple new expression changes in KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways related to cell growth, cell death, genetic information processing, nucleotide metabolism, signal transduction, immune response, response to stimulus, cellular processes, ion homeostasis and transport and cofactors, vitamins, amino acids, energy, carbohydrates, drugs, lipids, and glycans. Transcriptogram analysis also provides significance metrics which allow us to prioritize further study of these pathways. CONCLUSIONS: Transcriptogram analysis identifies novel pathways altered in ADPKD, providing new avenues to identify both ADPKD's mechanisms of pathogenesis and pharmaceutical targets to ameliorate the progression of the disease.


Assuntos
Rim Policístico Autossômico Dominante/metabolismo , Transcriptoma , Adulto , Estudos de Casos e Controles , Linhagem Celular , Perfilação da Expressão Gênica , Ontologia Genética , Humanos , Masculino , Redes e Vias Metabólicas , Pessoa de Meia-Idade , Rim Policístico Autossômico Dominante/patologia , Canais de Cátion TRPP/genética , Canais de Cátion TRPP/metabolismo
2.
Cancer Res ; 71(6): 2203-11, 2011 Mar 15.
Artigo em Inglês | MEDLINE | ID: mdl-21285250

RESUMO

The asymmetric organization of epithelial cells is a basic counter to cellular proliferation. However, the mechanisms whereby pro-growth pathways are modulated by intracellular factors that control cell shape are not well understood. This study demonstrates that the adaptor protein Amot, in addition to its established role in regulating cellular asymmetry, also promotes extracellular signal-regulated kinase 1 and 2 (ERK1/2)-dependent proliferation of mammary cells. Specifically, expression of Amot80, but not a mutant lacking its polarity protein interaction domain, enhances ERK1/2-dependent proliferation of MCF7 cells. Further, expression of Amot80 induces nontransformed MCF10A cells to overgrow as disorganized cellular aggregates in Matrigel. Conversely, Amot expression is required for proliferation of breast cancer cells in specific microenvironmental contexts that require ERK1/2 signaling. Thus, Amot is proposed to coordinate the dysregulation of cell polarity with the induction of neoplastic growth in mammary cells.


Assuntos
Proliferação de Células , Células Epiteliais/metabolismo , MAP Quinases Reguladas por Sinal Extracelular/metabolismo , Peptídeos e Proteínas de Sinalização Intercelular/metabolismo , Proteínas de Membrana/metabolismo , Angiomotinas , Linhagem Celular , Linhagem Celular Tumoral , Colágeno , Combinação de Medicamentos , Ativação Enzimática , Células Epiteliais/citologia , Feminino , Células HEK293 , Humanos , Immunoblotting , Peptídeos e Proteínas de Sinalização Intercelular/genética , Laminina , Proteínas Luminescentes/genética , Proteínas Luminescentes/metabolismo , Glândulas Mamárias Humanas/citologia , Proteínas de Membrana/genética , Proteínas dos Microfilamentos , Microscopia Confocal , Proteína Quinase 1 Ativada por Mitógeno/metabolismo , Proteína Quinase 3 Ativada por Mitógeno/metabolismo , Mutação , Proteoglicanas , Interferência de RNA , Transdução de Sinais , Fatores de Tempo , Microambiente Tumoral
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