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1.
Mol Syst Biol ; 11(7): 820, 2015 Jul 22.
Artigo em Inglês | MEDLINE | ID: mdl-26202599

RESUMO

Individual differences in sensitivity to insulin contribute to disease susceptibility including diabetes and metabolic syndrome. Cellular responses to insulin are well studied. However, which steps in these response pathways differ across individuals remains largely unknown. Such knowledge is needed to guide more precise therapeutic interventions. Here, we studied insulin response and found extensive individual variation in the activation of key signaling factors, including ERK whose induction differs by more than 20-fold among our subjects. This variation in kinase activity is propagated to differences in downstream gene expression response to insulin. By genetic analysis, we identified cis-acting DNA variants that influence signaling response, which in turn affects downstream changes in gene expression and cellular phenotypes, such as protein translation and cell proliferation. These findings show that polymorphic differences in signal transduction contribute to individual variation in insulin response, and suggest kinase modulators as promising therapeutics for diseases characterized by insulin resistance.


Assuntos
Variação Genética , Insulina/farmacologia , Sistema de Sinalização das MAP Quinases , Receptor de Insulina/metabolismo , Proteínas de Transporte/genética , Prepúcio do Pênis/metabolismo , Proteínas Ativadoras de GTPase/genética , Regulação da Expressão Gênica , Humanos , Recém-Nascido , Resistência à Insulina , Masculino , Proteínas de Neoplasias/genética , Fosforilação , Proteínas Proto-Oncogênicas c-akt/metabolismo , Fator A de Crescimento do Endotélio Vascular/genética
2.
PLoS Biol ; 8(9)2010 Sep 14.
Artigo em Inglês | MEDLINE | ID: mdl-20856902

RESUMO

Expression levels of human genes vary extensively among individuals. This variation facilitates analyses of expression levels as quantitative phenotypes in genetic studies where the entire genome can be scanned for regulators without prior knowledge of the regulatory mechanisms, thus enabling the identification of unknown regulatory relationships. Here, we carried out such genetic analyses with a large sample size and identified cis- and trans-acting polymorphic regulators for about 1,000 human genes. We validated the cis-acting regulators by demonstrating differential allelic expression with sequencing of transcriptomes (RNA-Seq) and the trans-regulators by gene knockdown, metabolic assays, and chromosome conformation capture analysis. The majority of the regulators act in trans to the target (regulated) genes. Most of these trans-regulators were not known to play a role in gene expression regulation. The identification of these regulators enabled the characterization of polymorphic regulation of human gene expression at a resolution that was unattainable in the past.


Assuntos
Regulação da Expressão Gênica/fisiologia , Polimorfismo Genético , Alelos , Ligação Genética , Humanos
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