Down-regulation of cyclic nucleotide phosphodiesterase PDE1A is the key event of p73 and UHRF1 deregulation in thymoquinone-induced acute lymphoblastic leukemia cell apoptosis

Thymoquinone (TQ), the active principle of Nigella sativa black seeds, has anti-proliferative properties on numerous cancer cell types. Others and we have previously reported that TQ acts as agent that triggers cell cycle arrest and apoptosis through either a p53- or p73-dependent pathway. However, the immediate targets recruited upon TQ-induced cytotoxicity have not yet been clearly identified. We therefore asked whether cyclic nucleotide phosphodiesterases (PDEs) could be involved in TQ-triggered pro-apoptotic reactivity; PDEs are regulators of intracellular levels of cyclic nucleotides and therefore can modulate cAMP and cGMP-dependent cell death pathways. Our results showed that TQ specifically repressed PDE1A expression in the acute lymphoblastic leukemia Jurkat cell line. This effect is concomitant with the previously described sequential deregulation of the expression of the tumor suppressor protein p73 and the epigenetic integrator UHRF1 (Ubiquitin-like, PHD Ring Finger 1). Interestingly, RNA-interference knock-down of PDE1A expression as well as decreased PDE1A expression induced growth inhibition of Jurkat cells, cell cycle arrest and apoptosis through an activation of p73 and a repression of UHRF1. Conversely, PDE1A re-expression counteracted the cellular pro-apoptotic effects of TQ in association with a p73 repression and UHRF1 re-expression. Altogether, our results show that TQ induced an initial down-regulation of PDE1A with a subsequent down-regulation of UHRF1 via a p73-dependent mechanism. This study further proposes that PDE1A might be involved in the epigenetic code inheritance by regulating, via p73, the epigenetic integrator UHRF1. Our findings also suggest that a forced inhibition of PDE1A expression might be a new therapeutic strategy for the management of acute lymphoblastic leukemia.     

A neuronal model for the discharge patterns produced by cyclic inputs

To understand the patterns of nerve impulses produced by sinusoidal stimuli, a simple model is considered which integrates input currents with a finite time constant until a threshold voltage is reached, whereupon an output pulse is produced and the process is restarted. We show here that (a) a general analytic solution exists for this model driven by sinusoidal stimuli, determining the interval between every member of the pulse train, (b) for all values of the parameters of the model a pattern exists which repeats periodically after a finite number of pulses in the absence of noise, (c) the system will approach a stable pattern which, if perturbed, will be recovered once the perturbation is removed, (d) the linear integrator or relaxation oscillator and the curren multiplier are limiting cases of this model.     

Development characterization and use of a high-performance enzymatic time-temperature integrator for the control of sterilization process' impacts

A small sized single-component enzymatic time temperature integrator (TTI) was developed. It consisted of glass beads coated with Bacillus licheniformis alpha-amylase (BLA) and stabilizing additives in a dehydrated form. Post heating residual enzymatic activity was used as a response property of the TTI. Under isothermal conditions, different batches of the system were characterized by z(TTI)-values around 13.5 degrees C in the temperature range 100-130 degrees C as well as by their ability to provide a response within 5 min after thermal processing. When used under non-isothermal conditions in a model food (silicone spheres), the system allowed to measure process-values (zTTI)F(121.1 degrees C) up to 60 min with an average error of 10.9%. The capabilities of the system were validated in a real solid/liquid food matrix sterilized by retorting. The combination of F(TTI)-values with heat transfer simulations based on finite difference calculations allowed for the determination of process values, which evaluated actual process-values (10 degrees C)F(121.1 degrees C) up to 90 min with an average error of 11.4%. The good performances of the system as well as its easiness of preparation and use, make the latter a valuable biological device for thermal process assessment.     

芥菜HDA9突变体构建及其与开花整合子SOC1、AGL24启动子互作

芥菜HDA9是去乙酰化酶家族成员,能通过开花信号整合子(SOC1、AGL24)调控开花时间,但其深入的分子调控机制仍不清楚。利用重叠延伸PCR将芥菜HDA9的3个关键活性位点(Asp~(172)、His~(174)和Asp~(261))分别突变为Ala,构建氨基酸位点突变体HDA9~(D172A)、HDA9~(H174A)和HDA9~(D261A)。进一步将突变体融合到pGADT7载体,酵母单杂交表明,HDA9突变后仍能与开花整合子SOC1、AGL24的启动子结合。双荧光素酶系统深入检测发现,尽管HDA9~(D172A)、HDA9~(H174A)和HDA9~(D261A)与SOC1、AGL24启动子的结合仍存在,但作用强度均显著减弱。由此暗示,芥菜HDA9的第172、174和261这3个关键活性位点可在一定程度上调节它与开花整合子的相互作用。这为HDA9开花分子调控及功能解析等深入研究奠定了基础。     

Nonlinear time series analysis of jerk congenital nystagmus

Nonlinear dynamics provides a complementary framework to control theory for the quantitative analysis of the oculomotor control system. This paper presents a number of findings relating to the aetiology and mechanics of the pathological ocular oscillation jerk congenital nystagmus (jerk CN). A range of time series analysis techniques were applied to recorded jerk CN waveforms, and also to simulated jerk waveforms produced by an established model in which the oscillations are a consequence of an unstable neural integrator. The results of the analysis were then interpreted within the framework of a generalised model of the unforced oculomotor system. This work suggests that for jerk oscillations, the origin of the instability lies in one of the five oculomotor subsystems, rather than in the final common pathway (the neural integrator and muscle plant). Additionally, experimental estimates of the linearised foveation dynamics imply that a refixating fast phase induced by a near-homoclinic trajectory will result in periodic oscillations. Local dimension calculations show that the dimension of the experimental jerk CN data increases during the fast phase, indicating that the oscillations are not periodic, and hence that the refixation mechanism is of greater complexity than a homoclinic reinjection. The dimension increase is hypothesised to result either from a signal-dependent noise process in the saccadic system, or the activation of additional oculomotor components at the beginning of the fast phase. The modification of a recent saccadic system model to incorporate biologically realistic signal-dependent noise is suggested, in order to test the first of these hypotheses. Action Editor: Peter Latham     

Plasticity of the landing response of Drosophila melanogaster

Summary Fruitflies (Drosophila melanogaster) may respond with landing reactions in tethered flight to unilateral progressive motion of single vertical dark stripes. The response frequency to repeated unilateral stimulation has a characteristic time course, a fast increase followed by a slower decrease. This behaviour is explained by the habituation of the input channels to a leaky integrator. The half-life of the integrated signal is in the range of 1 s. Contralateral sensitization (CoS) describes the sensitization of the landing response to unilateral stimuli by preceding contralateral stimulation. It acts by increasing the initial reactivity, which habituates. The effects of CoS are thus still obvious after 1 min of repetitive stimulation. CoS can effectively be mediated by movement stimuli as well as by flickering light. We also show that binocular rotation rather than unilateral back to front motion inhibits the landing response (in the monocular part of the visual field). The biological significance of the described temporal characteristics of the landing response system and their possible neuronal basis are discussed.Abbreviations CoS contralateral sensitization     

Effect of systemic diseases on clonal integration: modelling approach

Systemic disease spread has been suggested as a possible disadvantage of clonal plant integration. As connected ramets have higher risk of being infected, disease should cause a selective pressure against clonality. Since experimental tests of this hypothesis are not easy to perform, we chose a modelling approach, by which we could easily separate different factors influencing the process. We used a spatially explicit model of clonal growth with disease spread implemented and we tested the hypothesis that systemic disease decreases the competitive ability of highly integrated clonal plants when compared to less integrated plants with the same parameters. In contrast to our expectations, the integrator was competitively stronger than the splitter in most cases and it lost only when the disease severity and infection rates were very high. We think that the larger the integrated network is, the better the plant utilises its translocation ability. Even a very small amount of resource sharing greatly increased the relative success of the integrator and larger integrators were competitively stronger than the smaller ones. Our results also indicate that although the same infection rate caused more systemic disease in the integrator than in the splitter population, the disease has only a limited potential to select for the splitter strategy. This is caused not only by the advantages of the clonal integration but also by the fact that there is only a small range of infection rates at which there is sufficient difference in disease impact between the strategies.     

Integrator networks: illuminating the black box linking genotype and phenotype

Emerging concepts in developmental biology, such as facilitated variation and dynamical patterning modules, address a major shortcoming of the Modern Synthesis in Biology: how genotypic variation is transduced into functional yet diverse phenotypic variation. Still, we lack a theory to explain how variation at the cellular and tissue level is coordinated into variation at the whole-organism level, especially as priority of cellular and tissue functions change over an individual's lifetime and are influenced by environmental variation. Here, we propose that interactions among a limited subset of physiological factors that we call, integrators, regulate most phenotypic variation at the organismal level. Integrators are unique among physiological factors in that they have the propensity to coordinate the expression of conserved gene modules of most types of tissues because they participate as nodes in a hierarchical network. In other words, integrator networks impose physiological epistasis, meaning that whole-organism phenotypic responses will be influenced by previous experiences, current environmental conditions, and fitness priorities as encoded by individual integrators. Below, we provide examples of how integrator networks are responsible for both profound and irreversible phenotypic changes (i.e., metamorphosis, sexual differentiation) as well as subtler, transient (e.g., pelage color, seasonal fluctuations in lymphoid and reproductive tissues) variation. The goal of this article is not to describe completely how integrator networks function, but to stimulate discussion about the role of physiology in linking genetic to phenotypic variation. To generate useful data sets for understanding integrator networks and to inform whole-organism physiology generally, we describe several useful tools including vector-field editing, response-surface regression, and experiments of life-table responses. We then close by highlighting some implications of integrator networks for conservation and biomedicine.     

整合因子复合物——基因转录调控的多能选手

整合因子复合物(integrator complex,INT)的发现极大地拓展了对小核RNA转录成熟和基因转录调控的认知,也重新掀起了相关领域的研究热潮.INT是1个至少由14个亚基组成、分子量超过1.4 MD的蛋白质复合物.它一方面通过内切酶活性切割转录本,执行功能;另一方面与PP2A磷酸酶结合,调节RNA聚合酶Ⅱ上...     

Social interactions elicit rapid shifts in functional connectivity in the social decision-making network of zebrafish

According to the social decision-making (SDM) network hypothesis, SDM is encoded in a network of forebrain and midbrain structures in a distributed and dynamic fashion, such that the expression of a given social behaviour is better reflected by the overall profile of activation across the different loci rather than by the activity of a single node. This proposal has the implicit assumption that SDM relies on integration across brain regions, rather than on regional specialization. Here we tested the occurrence of functional localization and of functional connectivity in the SDM network. For this purpose we used zebrafish to map different social behaviour states into patterns of neuronal activity, as indicated by the expression of the immediate early genes c-fos and egr-1, across the SDM network. The results did not support functional localization, as some loci had similar patterns of activity associated with different social behaviour states, and showed socially driven changes in functional connectivity. Thus, this study provides functional support to the SDM network hypothesis and suggests that the neural context in which a given node of the network is operating (i.e. the state of its interconnected areas) is central to its functional relevance.     

Dissociation of biological catch-bond by periodic perturbation

The analysis of the P-selectin/PSGL-1 catch-slip bond that is periodically driven by a detaching force predicts that in the frequency range on the order of 1 s(-1) the bond lifetime undergoes significant changes with respect to both frequency and amplitude of the force. The result indicates how variations in the heart rate could have a substantial effect on leukocyte and lymphoid cell transport and adhesion to endothelial cells and platelets during inflammatory processes.     

Measurements of the Impact of 3′ End Sequences on Gene Expression Reveal Wide Range and Sequence Dependent Effects

A full understanding of gene regulation requires an understanding of the contributions that the various regulatory regions have on gene expression. Although it is well established that sequences downstream of the main promoter can affect expression, our understanding of the scale of this effect and how it is encoded in the DNA is limited. Here, to measure the effect of native S. cerevisiae 3′ end sequences on expression, we constructed a library of 85 fluorescent reporter strains that differ only in their 3′ end region. Notably, despite being driven by the same strong promoter, our library spans a continuous twelve-fold range of expression values. These measurements correlate with endogenous mRNA levels, suggesting that the 3′ end contributes to constitutive differences in mRNA levels. We used deep sequencing to map the 3′UTR ends of our strains and show that determination of polyadenylation sites is intrinsic to the local 3′ end sequence. Polyadenylation mapping was followed by sequence analysis, we found that increased A/T content upstream of the main polyadenylation site correlates with higher expression, both in the library and genome-wide, suggesting that native genes differ by the encoded efficiency of 3′ end processing. Finally, we use single cells fluorescence measurements, in different promoter activation levels, to show that 3′ end sequences modulate protein expression dynamics differently than promoters, by predominantly affecting the size of protein production bursts as opposed to the frequency at which these bursts occur. Altogether, our results lead to a more complete understanding of gene regulation by demonstrating that 3′ end regions have a unique and sequence dependent effect on gene expression.     

Genetically constrained metabolic flux analysis

Significant progress has been made in using existing metabolic databases to estimate metabolic fluxes. Traditional metabolic flux analysis generally starts with a predetermined metabolic network. This approach has been employed successfully to analyze the behaviors of recombinant strains by manually adding or removing the corresponding pathway(s) in the metabolic map. The current work focuses on the development of a new framework that utilizes genomic and metabolic databases, including available genetic/regulatory network structures and gene chip expression data, to constrain metabolic flux analysis. The genetic network consisting of the sensing/regulatory circuits will activate or deactivate a specific set of genes in response to external stimulus. The activation and/or repression of this set of genes will result in different gene expression levels that will in turn change the structure of the metabolic map. Hence, the metabolic map will automatically "adapt" to the external stimulus as captured by the genetic network. This adaptation selects a subnetwork from the pool of feasible reactions and so performs what we term "environmentally driven dimensional reduction." The Escherichia coli oxygen and redox sensing/regulatory system, which controls the metabolic patterns connected to glycolysis and the TCA cycle, was used as a model system to illustrate the proposed approach.     

Stress tolerance to stress escape in plants: role of the OXS2 zinc-finger transcription factor family

During dire conditions, the channelling of resources into reproduction ensures species preservation. This strategy of survival through the next generation is particularly important for plants that are unable to escape their environment but can produce hardy seeds. Here, we describe the multiple roles of OXIDATIVE STRESS 2 (OXS2) in maintaining vegetative growth, activating stress tolerance, or entering into stress-induced reproduction. In the absence of stress, OXS2 is cytoplasmic and is needed for vegetative growth; in its absence, the plant flowers earlier. Upon stress, OXS2 is nuclear and is needed for stress tolerance; in its absence, the plant is stress sensitive. OXS2 can activate its own gene and those of floral integrator genes, with direct binding to the floral integrator promoter SOC1. Stress-induced SOC1 expression and stress-induced flowering are impaired in mutants with defects in OXS2 and three of the four OXS2-like paralogues. The autoactivation of OXS2 may be a commensurate response to the stress intensity, stepping up from a strategy based on tolerating the effects of stress to one of escaping the stress via reproduction.     

Cross-Platform Prediction of Gene Expression Signatures

Gene expression signatures can predict the activation of oncogenic pathways and other phenotypes of interest via quantitative models that combine the expression levels of multiple genes. However, as the number of platforms to measure genome-wide gene expression proliferates, there is an increasing need to develop models that can be ported across diverse platforms. Because of the range of technologies that measure gene expression, the resulting signal values can vary greatly. To understand how this variation can affect the prediction of gene expression signatures, we have investigated the ability of gene expression signatures to predict pathway activation across Affymetrix and Illumina microarrays. We hybridized the same RNA samples to both platforms and compared the resultant gene expression readings, as well as the signature predictions. Using a new approach to map probes across platforms, we found that the genes in the signatures from the two platforms were highly similar, and that the predictions they generated were also strongly correlated. This demonstrates that our method can map probes from Affymetrix and Illumina microarrays, and that this mapping can be used to predict gene expression signatures across platforms.     

Plankton blooms induced by turbulent flows

Plankton play an important role in the ecology of the ocean and the climate because of their participation in the global carbon cycle at the base of the food chain. However, damaging plankton blooms can sometimes occur and are initially characterized by sudden transient increases in the phytoplankton population. They are thought to be driven by several effects, such as seasonal variations in temperature and salinity, and nutrient mixing. Furthermore, phytoplankton and zooplankton have different buoyancy properties, leading to a differential response in turbulent environments. In this paper, we investigate this effect in a model of advected plankton dynamics. We find that, over a range of parameter values, flows of marine species subjected to inertial/viscous forces naturally lead to patchiness and, in turn, periodically sustained plankton blooms.     

Stability mapping along the DNA double strand and its relation to the genetic map.

The distribution of the stability of the double helical structure along the whole DNA of fdphage and its restriction fragments is calculated. In this calculation, Poland's method, which has been established as a rigorous algorithm for taking the base sequence explicitly into consideration, is used. The molecular thermodynamic parameters in the calculation have been determined so as to best reproduce the melting profile of the DNA and its fragments. The results, which are presented as melting maps, show fairly good agreement with those experimentally obtained by the present authors earlier. A close correlation with genes in the genetic map is apparent for some cooperatively melting regions observed in the stability map.     

Wheat SOC1 functions independently of WAP1/VRN1, an integrator of vernalization and photoperiod flowering promotion pathways

Heading time in bread wheat ( Triticum aestivum L.) is determined by three characters – vernalization requirement, photoperiodic sensitivity and narrow-sense earliness (earliness per se) – which are involved in the phase transition from vegetative to reproductive growth. The wheat APETALA1 ( AP1 )-like MADS-box gene, wheat AP1 ( WAP1 , identical with VRN1 ), has been identified as an integrator of vernalization and photoperiod flowering promotion pathways. A MADS-box gene, SUPPRESSOR OF OVEREXPRESSION OF CO 1 ( SOC1 ) is an integrator of flowering pathways in Arabidopsis . In this study, we isolated a wheat ortholog of SOC1 , wheat SOC1 ( WSOC1 ), and investigated its relationship to WAP1 in the flowering pathway. WSOC1 is expressed in young spikes but preferentially expressed in leaves. Expression starts before the phase transition and is maintained during the reproductive growth phase. Overexpression of WSOC1 in transgenic Arabidopsis plants caused early flowering under short-day conditions, suggesting that WSOC1 functions as a flowering activator in Arabidopsis . WSOC1 expression is affected neither by vernalization nor photoperiod, whereas it is induced by gibberellin at the seedling stage. Furthermore, WSOC1 is expressed in transgenic wheat plants in which WAP1 expression is cosuppressed. These findings indicate that WSOC1 acts in a pathway different from the WAP1 -related vernalization and photoperiod pathways.