Your browser doesn't support javascript.
loading
MiRNAs confer phenotypic robustness to gene networks by suppressing biological noise.
Siciliano, Velia; Garzilli, Immacolata; Fracassi, Chiara; Criscuolo, Stefania; Ventre, Simona; di Bernardo, Diego.
Afiliación
  • Siciliano V; 1] Telethon Institute of Genetics and Medicine (TIGEM), Via P. Castellino 111, 80131 Naples, Italy [2] Department of Biological Engineering, Massachusetts Institute of Technology. 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA [3].
Nat Commun ; 4: 2364, 2013.
Article en En | MEDLINE | ID: mdl-24077216
ABSTRACT
miRNAs are small non-coding RNAs able to modulate target gene expression. It has been postulated that miRNAs confer robustness to biological processes, but clear experimental evidence is still missing. Here, using a synthetic biological approach, we demonstrate that microRNAs provide phenotypic robustness to transcriptional regulatory networks by buffering fluctuations in protein levels. We construct a network motif in mammalian cells exhibiting a 'toggle-switch' phenotype in which two alternative protein expression levels define its ON and OFF states. The motif consists of an inducible transcription factor that self-regulates its own transcription and that of a miRNA against the transcription factor itself. We confirm, using mathematical modelling and experimental approaches, that the microRNA confers robustness to the toggle-switch by enabling the cell to maintain and transmit its state. When absent, a dramatic increase in protein noise level occurs, causing the cell to randomly switch between the two states.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Fenotipo / Retroalimentación Fisiológica / MicroARNs / Factor de Transcripción E2F1 / Redes Reguladoras de Genes / Modelos Genéticos Tipo de estudio: Prognostic_studies Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2013 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Fenotipo / Retroalimentación Fisiológica / MicroARNs / Factor de Transcripción E2F1 / Redes Reguladoras de Genes / Modelos Genéticos Tipo de estudio: Prognostic_studies Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2013 Tipo del documento: Article