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Combinatorial Gene Regulation through Kinetic Control of the Transcription Cycle.
Scholes, Clarissa; DePace, Angela H; Sánchez, Álvaro.
Afiliación
  • Scholes C; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.
  • DePace AH; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA. Electronic address: angela_depace@hms.harvard.edu.
  • Sánchez Á; The Rowland Institute at Harvard, Harvard University, Cambridge, MA 02142, USA. Electronic address: alvaro.sanchez@yale.edu.
Cell Syst ; 4(1): 97-108.e9, 2017 01 25.
Article en En | MEDLINE | ID: mdl-28041762
Cells decide when, where, and to what level to express their genes by "computing" information from transcription factors (TFs) binding to regulatory DNA. How is the information contained in multiple TF-binding sites integrated to dictate the rate of transcription? The dominant conceptual and quantitative model is that TFs combinatorially recruit one another and RNA polymerase to the promoter by direct physical interactions. Here, we develop a quantitative framework to explore kinetic control, an alternative model in which combinatorial gene regulation can result from TFs working on different kinetic steps of the transcription cycle. Kinetic control can generate a wide range of analog and Boolean computations without requiring the input TFs to be simultaneously bound to regulatory DNA. We propose experiments that will illuminate the role of kinetic control in transcription and discuss implications for deciphering the cis-regulatory "code."
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Regulación de la Expresión Génica / Redes Reguladoras de Genes Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Cell Syst Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Regulación de la Expresión Génica / Redes Reguladoras de Genes Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Cell Syst Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos