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A long-range flexible billboard model of gene activation.
Vockley, Christopher M; McDowell, Ian C; D'Ippolito, Antony M; Reddy, Timothy E.
Afiliación
  • Vockley CM; a Department of Biostatistics & Bioinformatics , Duke University , Durham , NC , USA.
  • McDowell IC; b Center for Genomic & Computational Biology , Duke University , Durham , NC , USA.
  • D'Ippolito AM; b Center for Genomic & Computational Biology , Duke University , Durham , NC , USA.
  • Reddy TE; c Program in Computational Biology & Bioinformatics , Duke University , Durham , NC , USA.
Transcription ; 8(4): 261-267, 2017 08 08.
Article en En | MEDLINE | ID: mdl-28598247
ABSTRACT
Gene regulation is fundamentally important for the coordination of diverse biologic processes including homeostasis and responses to developmental and environmental stimuli. Transcription factor (TF) binding sites are one of the major functional subunits of gene regulation. They are arranged in cis-regulatory modules (CRMs) that can be more active than the sum of their individual effects. Recently, we described a mechanism of glucocorticoid (GC)-induced gene regulation in which the glucocorticoid receptor (GR) binds coordinately to multiple CRMs that are 10s of kilobases apart in the genome. In those results, the minority of GR binding sites appear to involve direct TFDNA interactions. Meanwhile, other GR binding sites in a cluster interact with those direct binding sites to tune their gene regulatory activity. Here, we consider the implications of those and related results in the context of existing models of gene regulation. Based on our analyses, we propose that the billboard and regulatory grammar models of cis-regulatory element activity be expanded to consider the influence of long-range interactions between cis-regulatory modules.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ADN / Activación Transcripcional Tipo de estudio: Prognostic_studies Idioma: En Revista: Transcription Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ADN / Activación Transcripcional Tipo de estudio: Prognostic_studies Idioma: En Revista: Transcription Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos