Hepatitis C virus proteins: from structure to function.

Great progress has been made over the past years in elucidating the structure and function of the hepatitis C virus (HCV) proteins, most of which are now actively being pursued as antiviral targets. The structural proteins, which form the viral particle, include the core protein and the envelope glycoproteins E1 and E2. The nonstructural proteins include the p7 viroporin, the NS2 protease, the NS3-4A complex harboring protease and NTPase/RNA helicase activities, the NS4B and NS5A proteins, and the NS5B RNA-dependent RNA polymerase. NS4B is a master organizer of replication complex formation while NS5A is a zinc-containing phosphoprotein involved in the regulation of HCV RNA replication versus particle production. Core to NS2 make up the assembly module while NS3 to NS5B represent the replication module (replicase). However, HCV proteins exert multiple functions during the viral life cycle, and these may be governed by different structural conformations and/or interactions with viral and/or cellular partners. Remarkably, each viral protein is anchored to intracellular membranes via specific determinants that are essential to protein function in the cell. This review summarizes current knowledge of the structure and function of the HCV proteins and highlights recent advances in the field.

Increasing the carbon flux toward synthesis of short-chain-length--medium-chain-length polyhydroxyalkanoate in the peroxisome of Saccharomyces cerevisiae through modification of the beta-oxidation cycle.

Short-chain-length-medium-chain-length polyhydroxyalkanoates were synthesized in Saccharomyces cerevisiae from intermediates of the beta-oxidation cycle by expressing the polyhydroxyalkanoate synthases from Aeromonas caviae and Ralstonia eutropha in the peroxisomes. The quantity of polymer produced was increased by using a mutant of the beta-oxidation-associated multifunctional enzyme with low dehydrogenase activity toward R-3-hydroxybutyryl coenzyme A.

Kinesin spindle protein SiRNA slows tumor progression.

The kinesin spindle protein (KSP), a member of the kinesin superfamily of microtubule-based motors, plays a critical role in mitosis as it mediates centrosome separation and bipolar spindle assembly and maintenance. Inhibition of KSP function leads to cell cycle arrest at mitosis with the formation of monoastral microtubule arrays, and ultimately, to cell death. Several KSP inhibitors are currently being studied in clinical trials and provide new opportunities for the development of novel anticancer therapeutics. RNA interference (RNAi) may represent a powerful strategy to interfere with key molecular pathways involved in cancer. In this study, we have established an efficient method for intratumoral delivery of siRNA. We evaluated short interfering RNA (siRNA) duplexes targeting luciferase as surrogate marker or KSP sequence. To examine the potential feasibility of RNAi therapy, the siRNA was transfected into pre-established lesions by means of intratumor electro-transfer of RNA therapeutics (IERT). This technology allowed cell permeation of the nucleic acids and to efficiently knock down gene expression, albeit transiently. The KSP-specific siRNA drastically reduced outgrowth of subcutaneous melanoma and ovarian cancer lesions. Our results show that intratumoral electro-transfer of siRNA is feasible and KSP-specific siRNA may provide a novel strategy for therapeutic intervention. J. Cell. Physiol. 228: 58-64, 2013. © 2012 Wiley Periodicals, Inc.

A model of cellular dosimetry for macroscopic tumors in radiopharmaceutical therapy.

PURPOSE: In the radiopharmaceutical therapy approach to the fight against cancer, in particular when it comes to translating laboratory results to the clinical setting, modeling has served as an invaluable tool for guidance and for understanding the processes operating at the cellular level and how these relate to macroscopic observables. Tumor control probability (TCP) is the dosimetric end point quantity of choice which relates to experimental and clinical data: it requires knowledge of individual cellular absorbed doses since it depends on the assessment of the treatment's ability to kill each and every cell. Macroscopic tumors, seen in both clinical and experimental studies, contain too many cells to be modeled individually in Monte Carlo simulation; yet, in particular for low ratios of decays to cells, a cell-based model that does not smooth away statistical considerations associated with low activity is a necessity. The authors present here an adaptation of the simple sphere-based model from which cellular level dosimetry for macroscopic tumors and their end point quantities, such as TCP, may be extrapolated more reliably. METHODS: Ten homogenous spheres representing tumors of different sizes were constructed in GEANT4. The radionuclide 131I was randomly allowed to decay for each model size and for seven different ratios of number of decays to number of cells, N(r): 1000, 500, 200, 100, 50, 20, and 10 decays per cell. The deposited energy was collected in radial bins and divided by the bin mass to obtain the average bin absorbed dose. To simulate a cellular model, the number of cells present in each bin was calculated and an absorbed dose attributed to each cell equal to the bin average absorbed dose with a randomly determined adjustment based on a Gaussian probability distribution with a width equal to the statistical uncertainty consistent with the ratio of decays to cells, i.e., equal to Nr-1/2. From dose volume histograms the surviving fraction of cells, equivalent uniform dose (EUD), and TCP for the different scenarios were calculated. Comparably sized spherical models containing individual spherical cells (15 microm diameter) in hexagonal lattices were constructed, and Monte Carlo simulations were executed for all the same previous scenarios. The dosimetric quantities were calculated and compared to the adjusted simple sphere model results. The model was then applied to the Bortezomib-induced enzyme-targeted radiotherapy (BETR) strategy of targeting Epstein-Barr virus (EBV)-expressing cancers. RESULTS: The TCP values were comparable to within 2% between the adjusted simple sphere and full cellular models. Additionally, models were generated for a nonuniform distribution of activity, and results were compared between the adjusted spherical and cellular models with similar comparability. The TCP values from the experimental macroscopic tumor results were consistent with the experimental observations for BETR-treated 1 g EBV-expressing lymphoma tumors in mice. CONCLUSIONS: The adjusted spherical model presented here provides more accurate TCP values than simple spheres, on par with full cellular Monte Carlo simulations while maintaining the simplicity of the simple sphere model. This model provides a basis for complementing and understanding laboratory and clinical results pertaining to radiopharmaceutical therapy.

De-hyping transmit diversity in modern MIMO cellular systems

A contemporary perspective on the tradeoff between transmit antenna diversity and spatial multi-plexing is provided. It is argued that, in the context of modern cellular systems and for the operating points of interest, transmission techniques that utilize all available spatial degrees of freedom for multiplexingoutperform techniques that explicitly sacrifice spatialmultiplexing for diversity. Reaching this conclusion, however, requires that the channel and some key system features be adequately modeled; failure to do so may bring about starkly different conclusions. As a specific example, this contrast is illustrated using the 3GPP Long-Term Evolution system design.

Current drug discovery strategies against arenavirus infections.

Arenaviruses are a large group of emerging viruses including several causative agents of severe hemorrhagic fevers with high mortality in man. Considering the number of people affected and the currently limited therapeutic options, novel efficacious therapeutics against arenaviruses are urgently needed. Over the past decade, significant advances in knowledge about the basic virology of arenaviruses have been accompanied by the development of novel therapeutics targeting different steps of the arenaviral life cycle. High-throughput, small-molecule screens identified potent and broadly active inhibitors of arenavirus entry that were instrumental for the dissection of unique features of arenavirus fusion. Novel inhibitors of arenavirus replication have been successfully tested in animal models and hold promise for application in humans. Late in the arenavirus life cycle, the proteolytic processing of the arenavirus envelope glycoprotein precursor and cellular factors critically involved virion assembly and budding provide further promising 'druggable' targets for novel therapeutics to combat human arenavirus infection.

The endoplasmic reticulum: a sensor of cellular stress that modulates immune responses.

Many inflammatory and infectious diseases are characterized by the activation of signaling pathways steaming from the endoplasmic reticulum (ER). These pathways, primarily associated with loss of ER homeostasis, are emerging as key regulators of inflammation and infection. Recent advances shed light on the mechanisms linking ER-stress and immune responses.

The TPTE gene family: cellular expression, subcellular localization and alternative splicing.

The human TPTE (Transmembrane Phosphatase with TEnsin homology) gene family encodes a PTEN-related tyrosine phosphatase with four potential transmembrane domains. Chromosomal mapping revealed multiple copies of the TPTE gene on chromosomes 13, 15, 21, 22 and Y. Human chromosomes 13 and 21 copies encode two functional proteins, TPIP (TPTE and PTEN homologous Inositol lipid Phosphatase) and TPTE, respectively, whereas only one copy of the gene exists in the mouse genome. In the present study, we show that TPTE and TPIP proteins are expressed in secondary spermatocytes and/or prespermatids. In addition, we report the existence of several novel alternatively spliced isoforms of these two proteins with variable number of transmembrane domains. The latter has no influence on the subcellular localization of these different peptides as shown by co-immunofluorescence experiments. Finally, we identify another expressed TPTE copy, mapping to human chromosome 22, whose transcription appears to be under the control of the LTR of human endogenous retrovirus RTVL-H3.

Towards robust network based complex systems : from evolutionary cellular automata to biological models

Abstract Sitting between your past and your future doesn't mean you are in the present. Dakota Skye Complex systems science is an interdisciplinary field grouping under the same umbrella dynamical phenomena from social, natural or mathematical sciences. The emergence of a higher order organization or behavior, transcending that expected of the linear addition of the parts, is a key factor shared by all these systems. Most complex systems can be modeled as networks that represent the interactions amongst the system's components. In addition to the actual nature of the part's interactions, the intrinsic topological structure of underlying network is believed to play a crucial role in the remarkable emergent behaviors exhibited by the systems. Moreover, the topology is also a key a factor to explain the extraordinary flexibility and resilience to perturbations when applied to transmission and diffusion phenomena. In this work, we study the effect of different network structures on the performance and on the fault tolerance of systems in two different contexts. In the first part, we study cellular automata, which are a simple paradigm for distributed computation. Cellular automata are made of basic Boolean computational units, the cells; relying on simple rules and information from- the surrounding cells to perform a global task. The limited visibility of the cells can be modeled as a network, where interactions amongst cells are governed by an underlying structure, usually a regular one. In order to increase the performance of cellular automata, we chose to change its topology. We applied computational principles inspired by Darwinian evolution, called evolutionary algorithms, to alter the system's topological structure starting from either a regular or a random one. The outcome is remarkable, as the resulting topologies find themselves sharing properties of both regular and random network, and display similitudes Watts-Strogtz's small-world network found in social systems. Moreover, the performance and tolerance to probabilistic faults of our small-world like cellular automata surpasses that of regular ones. In the second part, we use the context of biological genetic regulatory networks and, in particular, Kauffman's random Boolean networks model. In some ways, this model is close to cellular automata, although is not expected to perform any task. Instead, it simulates the time-evolution of genetic regulation within living organisms under strict conditions. The original model, though very attractive by it's simplicity, suffered from important shortcomings unveiled by the recent advances in genetics and biology. We propose to use these new discoveries to improve the original model. Firstly, we have used artificial topologies believed to be closer to that of gene regulatory networks. We have also studied actual biological organisms, and used parts of their genetic regulatory networks in our models. Secondly, we have addressed the improbable full synchronicity of the event taking place on. Boolean networks and proposed a more biologically plausible cascading scheme. Finally, we tackled the actual Boolean functions of the model, i.e. the specifics of how genes activate according to the activity of upstream genes, and presented a new update function that takes into account the actual promoting and repressing effects of one gene on another. Our improved models demonstrate the expected, biologically sound, behavior of previous GRN model, yet with superior resistance to perturbations. We believe they are one step closer to the biological reality.

Interactions of Adeno-associated virus Rep78 protein with the host cell

Abstract : Adeno-associated virus (AAV) is a small DNA virus belonging to the familiy of Parvoviridae. Its genome contains two genes : the rep gene encoding four non structural proteins (Rep78, 68, 52 and 40) implicated in transcription, replication and site-specific integration of the viral DNA and the cap gene encoding three capsid proteins. AAV does not cause any disease, but is studied in view of its potential use to treat several diseases. An interesting property of AAV is its antiproliferative effect. Two elements of AAV can inhibit cell growth. Firstly, the single stranded viral DNA is recognized in cells as damaged DNA leading to either a G2 block or cell death depending on p53 status. Secondly, the two larger Rep proteins (Rep78 and 68) also arrest the cell cycle when they are expressed at high levels. Rep78 in particular induces a complete cell cycle arrest in all the phases, including S phase. Such a strong S phase arrest is rarely seen in other conditions. It was thus interesting to determine how Rep78 could induce it. We found that this strong block is the consequence of Rep78's effects on at least two pathways. Rep78 induces a DNA damage response by producing nicks in the cellular chromatin. Furthermore, Rep78 can bind to the cellular phosphatase Cdc25A and prevent its binding to its substrates CDK2 and CDK1, thus inhibiting its activity. A mutational analysis of Rep78 protein determined that its endonuclease activity is responsible for the DNA damage response and its zinc finger domain for Cdc25A inhibition. The combined expression of two mutants each defective for one of these activities, or these two activities obtained independently of Rep78, could restore the complete cell cycle block, indicating that these two effects of Rep78 are likely to explain completely the cell cycle block it induces. Secondly, the lack of pathogenicity of AAV, its broad range of infection and its ability to integrate site-specifically in human chromosome 19 make it an interesting potential vector for gene therapy. However site-specific integration is only possible in the presence of Rep78/68 whose gene is removed in recombinant AAV vectors. In this part of the study, we tried to introduce Rep protein separately from recombinant AAV vectors to promote their site-specific integration. For that purpose, a fusion protein, TAT-Rep, comprising Rep78/68 joined to the human immunodeficiency virus Tat protein was produced. It had the ability to enter cells and remain active there for a short period. Its activity was sufficient to mediate transcription from the p5 promoter, second-strand synthesis of a recombinant AAV and probably site-specific integration. Résumé : Le virus associé à l'adénovirus (AAV) est un petit virus à ADN qui fait partie de la famille des Parvoviridae. Son génome contient deux gènes : le gène rep code pour quatre protéines (Rep78, 68, 52 et 40) qui participent à la transcription, la réplication et l'intégration du virus et le gène cap code pour les trois protéines de capside. AAV ne produit pas de maladie, mais pourrait au contraire être utilisé pour en soigner. Sa bénignité, sa capacité à infecter différents types de cellules et son intégration spécifique en font un vecteur potentiel pour la thérapie génique. Pour qu'il puisse s'intégrer spécifiquement, il a besoin de la protéine Rep78 ou 68, mais ce gène doit être enlevé des vecteurs pour la thérapie génique. Le but de la première partie de cette étude était d'introduire Rep78 ou 68 dans des cellules en même temps qu'un AAV recombinant, mais indépendamment afin de permettre une intégration spécifique. La stratégie utilisée était de produire une protéine de fusion (TAT-Rep) qui peut entrer dans des cellules si elle est présente dans leur milieu. Cette protéine entrait bien dans les cellules et y était active favorisant ainsi l'intégration spécifique. Une deuxième propriété d'AAV, son effet anti-prolifératif, est intéressante dans le cadre de certaines maladies comme le cancer. Deux éléments d'AAV en sont responsables. D'abord, son ADN simple brin active une réponse cellulaire à l'ADN endommagé et arrête les cellules en G2 ou provoque leur mort. De plus, la protéine Rep78 d'AAV peut fortement bloquer le cycle cellulaire à toutes les phases, même en phase S, ce qui est rare. C'est pourquoi nous avons essayé de comprendre cet effet. Nous avons remarqué que Rep78 doit agir sur deux fronts pour obtenir ce fort bloc. D'un côté, Rep78 introduit des coupures simple brin sur l'ADN de la cellule ce qui active une réponse cellulaire à l'ADN endommagé qui passe par ATM. D'un autre côté, Rep78 lie une phosphatase cellulaire, Cdc25A, et l'empêche ainsi de lier ses substrats CDK2 et CDK1 et donc d'être active. Finalement, à l'aide de mutants de Rep78, nous avons déterminé que l'activité endonuclease de Rep78 était nécessaire pour induire une réponse cellulaire via ATM et que le domaine C-terminal appelé «zinc finger » était responsable de la liaison avec Cdc25A. En co-exprimant deux mutants, qui n'ont chacun qu'un des effets de Rep78, ou en obtenant les deux effets de Rep78 indépendamment d'elle, nous avons obtenu un bloc complet du cycle cellulaire similaire à celui obtenu avec Rep78. Il est donc probable que ces deux effets de Rep78 sont suffisants pour expliquer comment elle arrive à arrêter le cycle cellulaire si efficacement.

Life-Cycle Effects on Household Expenditures: A Latent-Variable Approach

Using data from the Spanish household budget survey, we investigate life- cycle effects on several product expenditures. A latent-variable model approach is adopted to evaluate the impact of income on expenditures, controlling for the number of members in the family. Two latent factors underlying repeated measures of monetary and non-monetary income are used as explanatory variables in the expenditure regression equations, thus avoiding possible bias associated to the measurement error in income. The proposed methodology also takes care of the case in which product expenditures exhibit a pattern of infrequent purchases. Multiple-group analysis is used to assess the variation of key parameters of the model across various household life-cycle typologies. The analysis discloses significant life-cycle effects on the mean levels of expenditures; it also detects significant life-cycle effects on the way expenditures are affected by income and family size. Asymptotic robust methods are used to account for possible non-normality of the data.

Measurement with Some Theory: a New Approach to Evaluate Business Cycle Models

We propose a method to evaluate cyclical models which does not require knowledge of the DGP and the exact empirical specification of the aggregate decision rules. We derive robust restrictions in a class of models; use some to identify structural shocks and others to evaluate the model or contrast sub-models. The approach has good size and excellent power properties, even in small samples. We show how to examine the validity of a class of models, sort out the relevance of certain frictions, evaluate the importance of an added feature, and indirectly estimate structural parameters.