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.

A reduced model clarifies the role of feedback loops and time delays in the Drosophila circadian oscillator.

Although several detailed models of molecular processes essential for circadian oscillations have been developed, their complexity makes intuitive understanding of the oscillation mechanism difficult. The goal of the present study was to reduce a previously developed, detailed model to a minimal representation of the transcriptional regulation essential for circadian rhythmicity in Drosophila. The reduced model contains only two differential equations, each with time delays. A negative feedback loop is included, in which PER protein represses per transcription by binding the dCLOCK transcription factor. A positive feedback loop is also included, in which dCLOCK indirectly enhances its own formation. The model simulated circadian oscillations, light entrainment, and a phase-response curve with qualitative similarities to experiment. Time delays were found to be essential for simulation of circadian oscillations with this model. To examine the robustness of the simplified model to fluctuations in molecule numbers, a stochastic variant was constructed. Robust circadian oscillations and entrainment to light pulses were simulated with fewer than 80 molecules of each gene product present on average. Circadian oscillations persisted when the positive feedback loop was removed. Moreover, elimination of positive feedback did not decrease the robustness of oscillations to stochastic fluctuations or to variations in parameter values. Such reduced models can aid understanding of the oscillation mechanisms in Drosophila and in other organisms in which feedback regulation of transcription may play an important role.

Repression of tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) but not its receptors during oral cancer progression.

BACKGROUND: TRAIL plays an important role in host immunosurveillance against tumor progression, as it induces apoptosis of tumor cells but not normal cells, and thus has great therapeutic potential for cancer treatment. TRAIL binds to two cell-death-inducing (DR4 and DR5) and two decoy (DcR1, and DcR2) receptors. Here, we compare the expression levels of TRAIL and its receptors in normal oral mucosa (NOM), oral premalignancies (OPM), and primary and metastatic oral squamous cell carcinomas (OSCC) in order to characterize the changes in their expression patterns during OSCC initiation and progression. METHODS: DNA microarray, immunoblotting and immunohistochemical analyses were used to examine the expression levels of TRAIL and its receptors in oral epithelial cell lines and in archival tissues of NOM, OPM, primary and metastatic OSCC. Apoptotic rates of tumor cells and tumor-infiltrating lymphocytes (TIL) in OSCC specimens were determined by cleaved caspase 3 immunohistochemistry. RESULTS: Normal oral epithelia constitutively expressed TRAIL, but expression was progressively lost in OPM and OSCC. Reduction in DcR2 expression levels was noted frequently in OPM and OSCC compared to respective patient-matched uninvolved oral mucosa. OSCC frequently expressed DR4, DR5 and DcR1 but less frequently DcR2. Expression levels of DR4, DR5 and DcR1 receptors were not significantly altered in OPM, primary OSCC and metastatic OSCC compared to patient-matched normal oral mucosa. Expression of proapoptotic TRAIL-receptors DR4 and DR5 in OSCC seemed to depend, at least in part, on whether or not these receptors were expressed in their parental oral epithelia. High DR5 expression in primary OSCC correlated significantly with larger tumor size. There was no significant association between TRAIL-R expression and OSSC histology grade, nodal status or apoptosis rates of tumor cells and TIL. CONCLUSION: Loss of TRAIL expression is an early event during oral carcinogenesis and may be involved in dysregulation of apoptosis and contribute to the molecular carcinogenesis of OSCC. Differential expressions of TRAIL receptors in OSCC do not appear to play a crucial role in their apoptotic rate or metastatic progression.

Ultrasound feedback and motivational interviewing targeting smoking cessation in the second and third trimesters of pregnancy.

INTRODUCTION: Cigarette smoking during pregnancy is associated with poor maternal and child health outcomes. Effective interventions to increase smoking cessation rates are needed particularly for pregnant women unable to quit in their first trimester. Real-time ultrasound feedback focused on potential effects of smoking on the fetus may be an effective treatment adjunct, improving smoking outcomes. METHODS: A prospective randomized trial was conducted to evaluate the efficacy of a smoking cessation intervention consisting of personalized feedback during ultrasound plus motivational interviewing-based counseling sessions. Pregnant smokers (N = 360) between 16 and 26 weeks of gestation were randomly assigned to one of three groups: Best Practice (BP) only, Best Practice plus ultrasound feedback (BP+US), or Motivational Interviewing-based counseling plus ultrasound feedback (MI+US). Assessments were conducted at baseline and end of pregnancy (EOP). RESULTS: Analyses of cotinine-verified self-reported smoking status at EOP indicated that 10.8% of the BP group was not smoking at EOP; 14.2% in the BP+US condition and 18.3% who received MI+US were abstinent, but differences were not statistically significant. Intervention effects were found conditional upon level of baseline smoking, however. Nearly 34% of light smokers (< or =10 cigarettes/day) in the MI+US condition were abstinent at EOP, followed by 25.8% and 15.6% in the BP+US and BP conditions, respectively. Heavy smokers (>10 cigarettes/day) were notably unaffected by the intervention. DISCUSSION: Future research should confirm benefit of motivational interviewing plus ultrasound feedback for pregnant light smokers and explore mechanisms of action. Innovative interventions for pregnant women smoking at high levels are sorely needed.

Interlinked dual-time feedback loops can enhance robustness to stochasticity and persistence of memory.

Multiple interlinked positive feedback loops shape the stimulus responses of various biochemical systems, such as the cell cycle or intracellular Ca2+ release. Recent studies with simplified models have identified two advantages of coupling fast and slow feedback loops. This dual-time structure enables a fast response while enhancing resistances of responses and bistability to stimulus noise. We now find that (1) the dual-time structure similarly confers resistance to internal noise due to molecule number fluctuations, and (2) model variants with altered coupling, which better represent some specific biochemical systems, share all the above advantages. We also develop a similar bistable model with coupling of a fast autoactivation loop to a slow loop. This model's topology was suggested by positive feedback proposed to play a role in long-term synaptic potentiation (LTP). The advantages of fast response and noise resistance are also present in this autoactivation model. Empirically, LTP develops resistance to reversal over approximately 1h . The model suggests this resistance may result from increased amounts of synaptic kinases involved in positive feedback.

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.

Aldosterone-induced Sgk1 relieves Dot1a-Af9-mediated transcriptional repression of epithelial Na+ channel alpha.

Aldosterone plays a major role in the regulation of salt balance and the pathophysiology of cardiovascular and renal diseases. Many aldosterone-regulated genes--including that encoding the epithelial Na+ channel (ENaC), a key arbiter of Na+ transport in the kidney and other epithelia--have been identified, but the mechanisms by which the hormone modifies chromatin structure and thus transcription remain unknown. We previously described the basal repression of ENaCalpha by a complex containing the histone H3 Lys79 methyltransferase disruptor of telomeric silencing alternative splice variant a (Dot1a) and the putative transcription factor ALL1-fused gene from chromosome 9 (Af9) as well as the release of this repression by aldosterone treatment. Here we provide evidence from renal collecting duct cells and serum- and glucocorticoid-induced kinase-1 (Sgk1) WT and knockout mice that Sgk1 phosphorylated Af9, thereby impairing the Dot1a-Af9 interaction and leading to targeted histone H3 Lys79 hypomethylation at the ENaCalpha promoter and derepression of ENaCalpha transcription. Thus, Af9 is a physiologic target of Sgk1, and Sgk1 negatively regulates the Dot1a-Af9 repressor complex that controls transcription of ENaCalpha and likely other aldosterone-induced genes.

Functional analysis of histones H3 and H4 in Tup1 repression and in GCN5 activation

Tup1 forms a complex with Ssn6 in yeast. Ssn6-Tup1 complex is recruited via direct interactions with specific DNA binding proteins to a specific promoter region and mediates repression of several sets of genes including a-cell specific genes (asg) in $\alpha$ cells. It has been shown that repression of asgs also requires histone H4 and that Tup1 can directly interact with H3 and H4 in vitro. To address whether histone H3 is required for the repression of asgs, I have examined the effect of H3 and H4 mutations on the expression of a $\alpha$2-controlled LacZ reporter. Assay of $\beta$-glactosidase shows that mutations in either H3 or H4 cause a weak derepression of the reporter gene. Some double mutations result in a stronger derepression, while others do not. The H3 N-terminal deletion also leads to a slightly decreased expression of the reporter gene in $\alpha$ cells. Our data suggest that the N-termini of both H3 and H4 are cooperatively involved in the repression of a-cell specific genes in $\alpha$ cells, possibly through their interaction with Tup1.^ GCN5 was originally identified as a transcriptional regulator required to activate a subset of genes in yeast. Recently, it has been shown that GCN5 encodes the catalytic subunit of a nuclear histone acetyltransferase, providing the first direct link between histone acetylation and gene transcription. Recombinant Gcn5p (rGcn5p) exhibits a limited substrate specificity in vitro. However, neither the specificity of this enzyme in vivo nor the importance of particular acetylated residues to transcription or cell growth are well defined. In order to define the sites of histone acetylation mediated by Gcn5p in vivo and assess the significance of histone acetylation, more than 30 yeast strains have been constructed to bear specific H3 and/or H4 mutations in the presence or absence of GCN5 function. Our genetic data suggest that Gcn5p may have additional targets in vivo that are not identified as the targets of rGcn5p by previous studies. Western analysis using antibodies specifically recognizing particular acetylated isoforms of H3 and H4 led us to conclude that Gcn5p is necessary for full acetylation of multiple sites in both H3 and H4 in vivo. Consistent with these observations, rGcn5p still acetylates histones H3 and H4 bearing mutations either in H3 K14 or H4 K8,16, sites previously identified as the targets of acetylation by rGcn5p in H3 and H4. Our data also demonstrated that Gcn5p-mediated acetylation events are important for normal progression of the cell cycle and for transcriptional activation. Furthermore, a critical overall level of acetylation is essential for cell viability. ^

Functional requirements of histone deacetylases in Tup1-Ssn6 repression

The corepressor complex Tup1-Ssn6 regulates many classes of genes in yeast including cell type specific, glucose repressible, and DNA damage inducible. Tup1 and Ssn6 are recruited to target promoters through their interactions with specific DNA binding proteins such as α2, Mig1, and Crt1. Most promoters that are repressed by this corepressor complex exhibit a high degree of nucleosomal organization. This chromatin domain occludes transcription factor access to the promoter element resulting in gene repression. Previous work indicated that Tup1 interacts with underacetylated isoforms of H3 and H4, and that mutation of these histones synergistically compromises repression. These studies predict that Tup1-hypoacetyalted histone interaction is important to the repression mechanism, and in vivo hyperacetylation might compromise the corepressors ability to repress target genes. ^ One way to alter histone acetylation levels in vivo is to alter the balance between histone acetyltransferases and histone deacetylases. To date five histone deacetylases (HDACs) have been identified in yeast Rpd3, Hos1, Hos2, Hos3 and Hda1. Deletion of single or double HDAC genes had little to no effect on Tup1-Ssn6 repression, but simultaneous deletion of three specific activities Rpd3, Hos1, and Hos2 abolished repression in vivo. Promoter regions of Tup1-Ssn6 target genes in these triple deacetylase mutant cells are dramatically hyperacetylated in both H3 and H4. Examination of bulk histone acetylation levels showed that this specific HDAC triple mutant combination (rpd3 hos1 hos2) caused a dramatic and concomitant hyperacetylation of both H3 and H4. The loss of repression in the rpd3 hos1 hos2 cells, but not in other mutants, is consistent with previous observations, which indicate that histones provide redundant functions in the repression mechanism and that high levels of acetylation are required to prevent Tup1 binding. Investigation into a potential direct interaction between the Tup1-Ssn6 corepressor complex and one or more HDAC activities showed that both Rpd3 and Hos2 interact with the corepressor complex in vivo. These findings indicate that Tup1-Ssn6 repression involves the recruitment of histone deacetylase activities to target promoters, where they locally deacetylate histone residues promoting Tup1-histone tail interaction to initiate and/or maintain the repressed state. ^

Involvement of histone H3 methylation in Tup1-Ssn6 repression

The Tup1-Ssn6 complex regulates the expression of diverse classes of genes in Saccharomyces cerevisiae including those regulated by mating type, DNA damage, glucose, and anaerobic stress. The complex is recruited to target genes by sequence-specific repressor proteins. Once recruited to particular promoters, it is not completely clear how it functions to block transcription. Repression probably occurs through interactions with both the basal transcriptional machinery and components of chromatin. Tup1 interactions with chromatin are strongly influenced by acetylation of histories H3 and H4. Tup1 binds to underacetylated histone tails and requires multiple histone deacetylases (HDACs) for its repressive functions. Like acetylation, histone methylation is involved in regulation of gene expression. The possible role of histone methylation in Tup1 repression is not known. Here we examined possible roles of histone methyltransferases in Tup1-Ssn6 functions. We found that like other genes, Tup1-Ssn6 target genes exhibit increases in the levels of histone H3 lysine 4 methylation upon activation. However, deletion of individual or multiple histone methyltransferases (HMTs) and other SET-domain containing genes has no apparent effect on Tup1-Ssn6 mediated repression of a number of well-defined targets. Interestingly, we discovered that Ssn6 interacts with Set2. Since deletion of SET2 does not affect Tup1-Ssn6 repression, Ssn6 may utilize Set2 in other contexts to regulate gene repression. In order examine if the two components of the Tup1-Ssn6 complex have independent functions in the cell, we identified genes differentially expressed in tup1Δ and ssn6Δ mutants using DNA microarrays. Our data indicate that ∼4% of genes in the cell are regulated by Ssn6 independently of Tup1. In addition, expression of genes regulated by Tup1-Ssn6 seems to be differently affected by deletion of Ssn6 and deletion of Tup1, which indicates that these components might have separate functions. Our data shed new light on the classical view of Tup1-Ssn6 functions, and indicate that Ssn6 might have repressive functions as well. ^

Osterix inhibits bone destruction in osteosarcoma through transcriptional repression of Interleukin-1alpha expression

Osteosarcoma, a malignant bone tumor, rapidly destroys the cortical bone. We demonstrated that mouse K7M2 osteosarcoma cells were deficient in osterix (osx), a zinc finger-containing transcription factor required for osteoblasts differentiation and bone formation. These cells formed lytic tumors when injected into the tibia. The destruction of bone is mediated by osteoclasts in osteosarcoma. The less expression of osterix with osteolytic phenotype was also observed in more tumor cell lines. Replacement of osterix in K7M2 cells suppressed lytic bone destruction, inhibited tumor growth in vitro and in vivo, and suppressed lung metastasis in vivo and the migration of K7M2 to lung conditioned medium in vitro. By contrast, inhibiting osterix by vector-based small interfering RNA (siRNA) in two cell lines (Dunn and DLM8) that expressed high levels of osterix converted osteoblastic phenotype to lytic. Recognizing and binding of Receptor Activator of NF-κB (RANK) on osteoclast precursors by its ligand RANKL is the key osteoclastogenic event. Increased RANKL results in more osteoclast activity. We investigated whether K7M2-mediated bone destruction was secondary to an effect on RANKL. The conditioned medium from K7M2 could upregulate RANKL in normal osteoblast MC3T3, which might lead to more osteoclast formation. By contrast, the conditioned medium from K7M2 cells transfected with osx-expressing plasmid did not upregulate RANKL. Furthermore, Interleukin-1alpha (IL-1α) was significantly suppressed following osx transfection. IL-1α increased RANKL expression in MC3T3 cells, suggesting that osx may control RANKL via a mechanism involving IL-1α. Using a luciferase reporter assay, we demonstrated that osx downregulated IL-1α through a transcription-mediated mechanism. Following suppression of osterix in Dunn and DLM8 cells led to enhanced IL-1α promoter activity and protein production. Site-directed mutagenesis and Chromatin immunoprecipitation (ChIP) indicated that osterix downregulated IL-1α through a Sp1-binding site on the IL-1α promoter. These data suggest that osterix is involved in the lytic phenotype of osteosarcoma and that this is mediated via transcriptional repression of IL-1α. ^

Negative regulation of Drosophila Transformer2 by SR splicing factors

The Drosophila Transformer-2 (Tra2) protein activates the splicing of doublesex and fruitless pre-mRNA and represses M1 intron splicing in its own RNA in male germline. The M1 retention is part of negative feedback mechanism that controls Tra2 protein synthesis. However it is not known how the M1 intron is repressed or why Tra2 activates splicing of some RNAs while repressing splicing in others. Here we show that Tra2 and SR protein Rbp1 function together to specifically repress M1 splicing in vitro through the same intronic silencer by binding independently to distinct sites. The role of Rbp1 in M1 repression in vivo was validated by the finding that increased expression of Rbp1 in S2 cells promotes M1 retention. Furthermore, Tra2 blocks prespliceosomal A complex formation, a step corresponding to U2 snRNP recruitment to the branchpoint. High levels of Tra2 repression require an upstream enhancer. Together, we propose that the complex formed by Tra2 and Rbp1 on the silencer achieves splicing repression by blocking the recognition of the branchpoint or antagonizing enhancer function. ^ In addition, both splicing regulatory activities of Tra2 are essential developmental events, doublesex splicing is the key for Drosophila sex determination in the soma, while M1 retention occurs in the male germline and is necessary for spermatogenesis. However, active Tra2 is expressed ubiquitously. So another issue we have studied is how Tra2 accomplishes negative and positive splicing regulation in a tissue-specific fashion. Surprisingly, we found that nuclear extract from somatically-derived S2 cells support M1 repression in vitro. This led us to hypothesize that no germline specific factor is required and that high levels of Tra2 expression in the male germline is sufficient to trigger M1 retention. To test it, I examined whether increased expression of Tra2 could promote M1 retention in cells outside male germline. My results show that increased Tra2 expression promotes M1 retention in somatically-derived S2 cells as well as in the somatic tissues of living flies. These results show that somatic tissues are capable of supporting M1 repression but do not normally do so because the low levels of Tra2 do not trigger negative feedback regulation. ^

Tp53-dependent repression of cell cycle target genes: Global and mechanistic analysis

Most studies of p53 function have focused on genes transactivated by p53. It is less widely appreciated that p53 can repress target genes to affect a particular cellular response. There is evidence that repression is important for p53-induced apoptosis and cell cycle arrest. It is less clear if repression is important for other p53 functions. A comprehensive knowledge of the genes repressed by p53 and the cellular processes they affect is currently lacking. We used an expression profiling strategy to identify p53-responsive genes following adenoviral p53 gene transfer (Ad-p53) in PC3 prostate cancer cells. A total of 111 genes represented on the Affymetrix U133A microarray were repressed more than two fold (p ≤ 0.05) by p53. An objective assessment of array data quality was carried out using RT-PCR of 20 randomly selected genes. We estimate a confirmation rate of >95.5% for the complete data set. Functional over-representation analysis was used to identify cellular processes potentially affected by p53-mediated repression. Cell cycle regulatory genes exhibited significant enrichment (p ≤ 5E-28) within the repressed targets. Several of these genes are repressed in a p53-dependent manner following DNA damage, but preceding cell cycle arrest. These findings identify novel p53-repressed targets and indicate that p53-induced cell cycle arrest is a function of not only the transactivation of cell cycle inhibitors (e.g., p21), but also the repression of targets that act at each phase of the cell cycle. The mechanism of repression of this set of p53 targets was investigated. Most of the repressed genes identified here do not harbor consensus p53 DNA binding sites but do contain binding sites for E2F transcription factors. We demonstrate a role for E2F/RB repressor complexes in our system. Importantly, p53 is found at the promoter of CDC25A. CDC25A protein is rapidly degraded in response to DNA damage. Our group has demonstrated for the first time that CDC25A is also repressed at the transcript level by p53. This work has important implications for understanding the DNA damage cell cycle checkpoint response and the link between E2F/RB complexes and p53 in the repression of target genes. ^

DNA methylation inhibits p53 mediated survivin repression in cancer cells

Survivin (BIRC5) is a member of the Inhibitor of Apoptosis (IAP) gene family and functions as a chromosomal passenger protein as well as a mediator of cell survival. Survivin is widely expressed during embryonic development then becomes transcriptionally silent in most highly differentiated adult tissues. It is also overexpressed in virtually every type of tumor. The survivin promoter contains a canonical CpG island that has been described as epigenetically regulated by DNA methylation. We observed that survivin is overexpressed in high grade, poorly differentiated endometrial tumors, and we hypothesized that DNA hypomethylation could explain this expression pattern. Surprisingly, methylation specific PCR and bisulfite pyrosequencing analysis showed that survivin was hypermethylated in endometrial tumors and that this hypermethylation correlated with increased survivin expression. We proposed that methylation could activate survivin expression by inhibit the binding of a transcriptional repressor. ^ The tumor suppressor protein p53 is a well documented transcriptional repressor of survivin and examination of the survivin promoter showed that the p53 binding site contains 3 CpG sites which often become methylated in endometrial tumors. To determine if methylation regulates survivin expression, we treated HCT116 cells with decitabine, a demethylation agent, and observed that survivin transcript and protein levels were significantly repressed following demethylation in a p53 dependent manner. Subsequent binding studies confirmed that DNA methylation inhibited the binding of p53 protein to its binding site in the survivin promoter. ^ We are the first to report this novel mechanism of epigenetic regulation of survivin. We also conducted microarray analysis which showed that many other cancer relevant genes may also be regulated in this manner. While demethylation agents are traditionally thought to inhibit cancer cell growth by reactivating tumor suppressors, our results indicate that an additional important mechanism is to decrease the expression of oncogenes. ^