Systematic identification of signal-activated stochastic gene regulation.
Science
; 339(6119): 584-7, 2013 Feb 01.
Article
en En
| MEDLINE
| ID: mdl-23372015
ABSTRACT
Although much has been done to elucidate the biochemistry of signal transduction and gene regulatory pathways, it remains difficult to understand or predict quantitative responses. We integrate single-cell experiments with stochastic analyses, to identify predictive models of transcriptional dynamics for the osmotic stress response pathway in Saccharomyces cerevisiae. We generate models with varying complexity and use parameter estimation and cross-validation analyses to select the most predictive model. This model yields insight into several dynamical features, including multistep regulation and switchlike activation for several osmosensitive genes. Furthermore, the model correctly predicts the transcriptional dynamics of cells in response to different environmental and genetic perturbations. Because our approach is general, it should facilitate a predictive understanding for signal-activated transcription of other genes in other pathways or organisms.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Saccharomyces cerevisiae
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Transcripción Genética
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Regulación Fúngica de la Expresión Génica
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Activación Transcripcional
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Modelos Estadísticos
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Análisis de la Célula Individual
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Modelos Genéticos
Tipo de estudio:
Diagnostic_studies
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Prognostic_studies
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Risk_factors_studies
Idioma:
En
Revista:
Science
Año:
2013
Tipo del documento:
Article
País de afiliación:
Estados Unidos