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Numbers on the edges: A simplified and scalable method for quantifying the Gene Regulation Function

AuthorsFernández-López, Raul; Campo, Irene del ; Ruiz, Raúl ; Lanza, Val F. ; Vielva, Luis; Cruz, Fernando de la
Issue Date2010
CitationBioEssays 32(4): 346-355 (2010)
AbstractThe gene regulation function (GRF) provides an operational description of a promoter behavior as a function of the concentration of one of its transcriptional regulators. Behind this apparently trivial definition lies a central concept in biological control: the GRF provides the input/output relationship of each edge in a transcriptional network, independently from the molecular interactions involved. Here we discuss how existing methods allow direct measurement of the GRF, and how several trade-offs between scalability and accuracy have hindered its application to relatively large networks. We discuss the theoretical and technical requirements for obtaining the GRF. Based on these requirements, we introduce a simplified and easily scalable method that is able to capture the significant parameters of the GRF. The GRF is able to predict the behavior of a simple genetic circuit, illustrating how addressing the quantitative nature of gene regulation substantially increases our comprehension on the mechanisms of gene control. © 2010 Wiley Periodicals, Inc.
Identifiersdoi: 10.1002/bies.200900164
issn: 0265-9247
Appears in Collections:(IBBTEC) Artículos
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