Literature DB >> 18621837

Control of transcriptional variability by overlapping feed-forward regulatory motifs.

Alexander V Ratushny1, Stephen A Ramsey, Oriol Roda, Yakun Wan, Jennifer J Smith, John D Aitchison.   

Abstract

In yeast, beta-oxidation of fatty acids (FAs) takes place in the peroxisome, an organelle whose size and number are controlled in response to environmental cues. The expression of genes required for peroxisome assembly and function is controlled by a transcriptional regulatory network that is induced by FAs such as oleate. The core FA-responsive transcriptional network consists of carbon source-sensing transcription factors that regulate key target genes through an overlapping feed-forward network motif (OFFNM). However, a systems-level understanding of the function of this network architecture in regulating dynamic FA-induced gene expression is lacking. The specific role of the OFFNM in regulating the dynamic and cell-population transcriptional response to oleate was investigated using a kinetic model comprised of four core transcription factor genes (ADR1, OAF1, PIP2, and OAF3) and two reporter genes (CTA1 and POT1) that are indicative of peroxisome induction. Simulations of the model suggest that 1), the intrinsic Adr1p-driven feed-forward loop reduces the steady-state expression variability of target genes; 2), the parallel Oaf3p-driven inhibitory feed-forward loop modulates the dynamic response of target genes to a transiently varying oleate concentration; and 3), heterodimerization of Oaf1p and Pip2p does not appear to have a noise-reducing function in the context of oleate-dependent expression of target genes. The OFFNM is highly overrepresented in the yeast regulome, suggesting that the specific functions described for the OFFNM, or other properties of this motif, provide a selective advantage.

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Year:  2008        PMID: 18621837      PMCID: PMC2553142          DOI: 10.1529/biophysj.108.134064

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  37 in total

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Authors:  Sabine Weller; Stephen J Gould; David Valle
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4.  Summing up the noise in gene networks.

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Authors:  Hamid Bolouri; Eric H Davidson
Journal:  Proc Natl Acad Sci U S A       Date:  2003-07-25       Impact factor: 11.205

6.  Structure and function of the feed-forward loop network motif.

Authors:  S Mangan; U Alon
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-06       Impact factor: 11.205

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Authors:  S J Gould; D Valle
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3.  Role of the histone variant H2A.Z/Htz1p in TBP recruitment, chromatin dynamics, and regulated expression of oleate-responsive genes.

Authors:  Yakun Wan; Ramsey A Saleem; Alexander V Ratushny; Oriol Roda; Jennifer J Smith; Chan-Hsien Lin; Jung-Hsien Chiang; John D Aitchison
Journal:  Mol Cell Biol       Date:  2009-03-09       Impact factor: 4.272

Review 4.  Signaling dynamics and peroxisomes.

Authors:  Fred D Mast; Richard A Rachubinski; John D Aitchison
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Review 5.  Dark matters in AMD genetics: epigenetics and stochasticity.

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6.  Integrated phosphoproteomics analysis of a signaling network governing nutrient response and peroxisome induction.

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7.  Mathematical modeling of biomolecular network dynamics.

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8.  Genome-wide analysis of effectors of peroxisome biogenesis.

Authors:  Ramsey A Saleem; Rose Long-O'Donnell; David J Dilworth; Abraham M Armstrong; Arvind P Jamakhandi; Yakun Wan; Theo A Knijnenburg; Antti Niemistö; John Boyle; Richard A Rachubinski; Ilya Shmulevich; John D Aitchison
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9.  Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture.

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