Dynamics of a minimal model of interlocked positive and negative feedback loops of transcriptional regulation by cAMP-response element binding proteins.

cAMP-response element binding (CREB) proteins are involved in transcriptional regulation in a number of cellular processes (e.g., neural plasticity and circadian rhythms). The CREB family contains activators and repressors that may interact through positive and negative feedback loops. These loops can be generated by auto- and cross-regulation of expression of CREB proteins, via CRE elements in or near their genes. Experiments suggest that such feedback loops may operate in several systems (e.g., Aplysia and rat). To understand the functional implications of such feedback loops, which are interlocked via cross-regulation of transcription, a minimal model with a positive and negative loop was developed and investigated using bifurcation analysis. Bifurcation analysis revealed diverse nonlinear dynamics (e.g., bistability and oscillations). The stability of steady states or oscillations could be changed by time delays in the synthesis of the activator (CREB1) or the repressor (CREB2). Investigation of stochastic fluctuations due to small numbers of molecules of CREB1 and CREB2 revealed a bimodal distribution of CREB molecules in the bistability region. The robustness of the stable HIGH and LOW states of CREB expression to stochastic noise differs, and a critical number of molecules was required to sustain the HIGH state for days or longer. Increasing positive feedback or decreasing negative feedback also increased the lifetime of the HIGH state, and persistence of this state may correlate with long-term memory formation. A critical number of molecules was also required to sustain robust oscillations of CREB expression. If a steady state was near a deterministic Hopf bifurcation point, stochastic resonance could induce oscillations. This comparative analysis of deterministic and stochastic dynamics not only provides insights into the possible dynamics of CREB regulatory motifs, but also demonstrates a framework for understanding other regulatory processes with similar network architecture.

Dynamics of a minimal model of interlocked positive and negative feedback loops of transcriptional regulation by cAMP-response element binding proteins.

cAMP-response element binding (CREB) proteins are involved in transcriptional regulation in a number of cellular processes (e.g., neural plasticity and circadian rhythms). The CREB family contains activators and repressors that may interact through positive and negative feedback loops. These loops can be generated by auto- and cross-regulation of expression of CREB proteins, via CRE elements in or near their genes. Experiments suggest that such feedback loops may operate in several systems (e.g., Aplysia and rat). To understand the functional implications of such feedback loops, which are interlocked via cross-regulation of transcription, a minimal model with a positive and negative loop was developed and investigated using bifurcation analysis. Bifurcation analysis revealed diverse nonlinear dynamics (e.g., bistability and oscillations). The stability of steady states or oscillations could be changed by time delays in the synthesis of the activator (CREB1) or the repressor (CREB2). Investigation of stochastic fluctuations due to small numbers of molecules of CREB1 and CREB2 revealed a bimodal distribution of CREB molecules in the bistability region. The robustness of the stable HIGH and LOW states of CREB expression to stochastic noise differs, and a critical number of molecules was required to sustain the HIGH state for days or longer. Increasing positive feedback or decreasing negative feedback also increased the lifetime of the HIGH state, and persistence of this state may correlate with long-term memory formation. A critical number of molecules was also required to sustain robust oscillations of CREB expression. If a steady state was near a deterministic Hopf bifurcation point, stochastic resonance could induce oscillations. This comparative analysis of deterministic and stochastic dynamics not only provides insights into the possible dynamics of CREB regulatory motifs, but also demonstrates a framework for understanding other regulatory processes with similar network architecture.

Alternative carbon metabolism: Virulence and regulation in Candida albicans

The interaction between C. albicans and innate immune cells is a key determinant to disease progression. Transcriptional profiling showed that C. albicans responds to macrophage phagocytosis by inducing pathways required for alternative carbon metabolism (beta-oxidation, the glyoxylate cycle, and gluconeogenesis), suggesting these pathways are important for virulence of C. albicans. ^ We have shown that deleting key genes (FOX2, FBP1) in these pathways results in virulence defects in an in vivo mouse model for systemic infection. Like icl1Δ/Δ mutants, fbp1Δ/Δ mutants are severely attenuated and fox2Δ/Δ mutants are mildly but significantly attenuated, indicating that carbon starvation is a relevant stress in vivo. ^ However, fox2Δ/Δ mutants also had unexpected phenotypes on certain carbon sources, unlike the case in Saccharomyces cerevisiae, suggesting these pathways are regulated differently in C. albicans. To test this, we identified the C. albicans regulators of these pathways based on those from S. cerevisiae and Aspergillus nidulans. ^ C. albicans has a partly conserved framework, but lacks two regulators (Oaf1p, Pip2p) controlling peroxisome biogenesis and beta-oxidation genes in yeast. Instead, C. albicans has a homolog, CTF1, of the A. nidulans fatty acid catabolism regulators FarA and FarB. We have shown that CTF1 is needed for growth on oleate (like FarA and FarB), expression of beta-oxidation and glyoxylate cycle genes, and full virulence. No function for CTF1 has previously been identified in C. albicans. Our data demonstrate a role for alternative carbon metabolism in the virulence of C. albicans and suggest that the regulation of these pathways is a mixture of the filamentous fungi and budding yeast systems. ^