Method to assess and optimise dependability of complex macro-systems: application to a railway signalling system

Achieving a high degree of dependability in complex macro-systems is challenging. Because of the large number of components and numerous independent teams involved, an overview of the global system performance is usually lacking to support both design and operation adequately. A functional failure mode, effects and criticality analysis (FMECA) approach is proposed to address the dependability optimisation of large and complex systems. The basic inductive model FMECA has been enriched to include considerations such as operational procedures, alarm systems. environmental and human factors, as well as operation in degraded mode. Its implementation on a commercial software tool allows an active linking between the functional layers of the system and facilitates data processing and retrieval, which enables to contribute actively to the system optimisation. The proposed methodology has been applied to optimise dependability in a railway signalling system. Signalling systems are typical example of large complex systems made of multiple hierarchical layers. The proposed approach appears appropriate to assess the global risk- and availability-level of the system as well as to identify its vulnerabilities. This enriched-FMECA approach enables to overcome some of the limitations and pitfalls previously reported with classical FMECA approaches.

The role of WNT and mTOR in human memory T cell formation

Cancer is one of the world's leading causes of death with a rising trend in incidence. These epidemiologic observations underline the need for novel treatment strategies. In this regard, a promising approach takes advantage of the adaptive effector mechanisms of the immune system, using T lymphocytes to specifically target and destroy tumour cells. However, whereas current approaches mainly depend on short-lived, terminally differentiated effector T cells, increasing evidence suggests that long lasting and maximum efficient immune responses are mediated by low differentiated memory T cells. These memory T cells should display characteristics of stem cells, such as longevity, self-renewal capacity and the ability to continuously give rise to further differentiated effectors. These stem celllike memory T (TSCM) cells are thought to be of key therapeutic value as they might not only attack differentiated tumour cells, but also eradicate the root cause of cancer, the cancer stem cells themselves. Thus, efforts are made to characterize TSCM cells and to identify the signalling pathways which mediate their induction. Recently, a human TSCM cell subset was described and the activation of the Wnt-ß-catenin signalling pathway by the drug TWS119 during naive CD8+ T (TN) cell priming was suggested to mediate their induction. However, a precise deciphering of the signalling pathways leading to TSCM cell induction and an in-depth characterization of in vitro induced and in vivo occurring TSCM cells remain to be performed. Here, evidence is presented that the induction of human and mouse CD8+ and CD4+ TSCM cells may be triggered by inhibition of mechanistic/mammalian target of rapamycin (mTOR) complex 1 with simultaneously active mTOR complex 2. This molecular mechanism arrests a fraction of activated TN cells in a stem cell-like differentiation state independently of the Wnt-ß-catenin signalling pathway. Of note, TWS119 was found to also inhibit mTORCl, thereby mediating the induction of TSCM cells. Suggesting an immunostimulatory effect, the acquired data broaden the therapeutic range of mTORCl inhibitors like rapamycin, which are, at present, exclusively used due to their immunosuppressive function. Furthermore, by performing broad metabolic analyses, a well-orchestrated interplay between intracellular signalling pathways and the T cells' metabolic programmes could be identified as important regulator of the T cells' differentiation fate. Moreover, in vitro induced CD4+ TSCM cells possess superior functional capacities and share fate-determining key factors with their naturally occurring counterparts, assessed by a first-time full transcriptome analysis of in vivo occurring CD4+ TN cell, TSCM cells and central memory (TCM) cells and in vitro induced CD4+ TSCM cells. Of interest, a group of 56 genes, with a unique expression profile in TSCM cells could be identified. Thus, a pharmacological mechanism allowing to confer sternness to activated TN cells has been found which might be highly relevant for the design of novel T cell-based cancer immunotherapies.

Neurogenic subventricular zone stem/progenitor cells are notch1-dependent in their active but not quiescent state.

The adult mammalian forebrain contains neural stem/progenitor cells (NSCs) that generate neurons throughout life. As in other somatic stem cell systems, NSCs are proposed to be predominantly quiescent and proliferate only sporadically to produce more committed progeny. However, quiescence has recently been shown not to be an essential criterion for stem cells. It is not known whether NSCs show differences in molecular dependence based on their proliferation state. The subventricular zone (SVZ) of the adult mouse brain has a remarkable capacity for repair by activation of NSCs. The molecular interplay controlling adult NSCs during neurogenesis or regeneration is not clear but resolving these interactions is critical in order to understand brain homeostasis and repair. Using conditional genetics and fate mapping, we show that Notch signaling is essential for neurogenesis in the SVZ. By mosaic analysis, we uncovered a surprising difference in Notch dependence between active neurogenic and regenerative NSCs. While both active and regenerative NSCs depend upon canonical Notch signaling, Notch1-deletion results in a selective loss of active NSCs (aNSCs). In sharp contrast, quiescent NSCs (qNSCs) remain after Notch1 ablation until induced during regeneration or aging, whereupon they become Notch1-dependent and fail to fully reinstate neurogenesis. Our results suggest that Notch1 is a key component of the adult SVZ niche, promoting maintenance of aNSCs, and that this function is compensated in qNSCs. Therefore, we confirm the importance of Notch signaling for maintaining NSCs and neurogenesis in the adult SVZ and reveal that NSCs display a selective reliance on Notch1 that may be dictated by mitotic state.

IFN alpha activates dormant haematopoietic stem cells in vivo

Maintenance of the blood system is dependent on dormant haematopoietic stem cells (HSCs) with long-term self-renewal capacity. After injury these cells are induced to proliferate to quickly reestablish homeostasis(1). The signalling molecules promoting the exit of HSCs out of the dormant stage remain largely unknown. Here we show that in response to treatment of mice with interferon-alpha (IFN alpha), HSCs efficiently exit G(0) and enter an active cell cycle. HSCs respond to IFN alpha treatment by the increased phosphorylation of STAT1 and PKB/Akt (also known as AKT1), the expression of IFN alpha target genes, and the upregulation of stem cell antigen-1 (Sca-1, also known as LY6A). HSCs lacking the IFN alpha/beta receptor (IFNAR)(2), STAT1 (ref. 3) or Sca-1 (ref. 4) are insensitive to IFN alpha stimulation, demonstrating that STAT1 and Sca-1 mediate IFN alpha-induced HSC proliferation. Although dormant HSCs are resistant to the anti-proliferative chemotherapeutic agent 5-fluoro-uracil(1,5), HSCs pre-treated (primed) with IFN alpha and thus induced to proliferate are efficiently eliminated by 5-fluoro-uracil exposure in vivo. Conversely, HSCs chronically activated by IFN alpha are functionally compromised and are rapidly out-competed by non-activatable Ifnar(-/-) cells in competitive repopulation assays. Whereas chronic activation of the IFN alpha pathway in HSCs impairs their function, acute IFN alpha treatment promotes the proliferation of dormant HSCs in vivo. These data may help to clarify the so far unexplained clinical effects of IFN alpha on leukaemic cells(6,7), and raise the possibility for new applications of type I interferons to target cancer stem cells(8).

Myc's other life: stem cells and beyond.

Over the last three decades genetic and biochemical studies have revealed the pleiotropic effects of the Myc oncoprotein. While cell line studies have defined the intracellular processes regulated by Myc such as proliferation, differentiation, and metabolic growth, in vivo studies have confirmed these functions, and revealed roles in acquisition and maintenance of stem cell properties. These roles may be partially mediated by Myc's capacity to modify the chromatin landscape on a global scale. Myc also regulates numerous protein-coding transcripts, and many noncoding RNAs (rRNAs, tRNAs, and miRNAs). As Myc activity directly correlates with protein expression, further complexity is provided by post-translational modifications that regulate Myc in normal stem cells or deregulate it in malignant stem cells.

Dpp/BMP signaling in flies: From molecules to biology.

Decapentaplegic (Dpp), the fly homolog of the secreted mammalian BMP2/4 signaling molecules, is involved in almost all aspects of fly development. Dpp has critical functions at all developmental stages, from patterning of the eggshell to the determination of adult intestinal stem cell identity. Here, we focus on recent findings regarding the transcriptional regulatory logic of the pathway, on a new feedback regulator, Pentagone, and on Dpp's roles in scaling and growth of the Drosophila wing.

Mechanisms of functional T-cell deficiency in melanoma patients

SUMMARYAs a result of evolution, humans are equipped with an intricate but very effective immune system with multiple defense mechanisms primarily providing protection from infections. This system comprises various cell types, including T-lymphocytes, which are able to recognize and directly kill infected cells. T-cells are not only able to recognize cells carrying foreign antigens, such as virus-infected cells, but also autologous cells. In autoimmune diseases, e.g. multiple sclerosis, T- cells attack autologous cells and cause the destruction of healthy tissue. To prevent aberrant immune reactions, but also to prevent damage caused by an overreacting immune response against foreign targets, there are multiple systems in place that attenuate T-cell responses.By contrast, anti-self immune responses may be highly welcome in malignant diseases. It has been demonstrated that activated T-cells are able to recognize and lyse tumor cells, and may even lead to successful cure of cancer patients. Through vaccination, and especially with the help of powerful adjuvants, frequencies of tumor-reactive T-cells can be augmented drastically. However, the efficacy of anti-tumor responses is diminished by the same checks and balances preventing the human body from harm induced by overly activated T-cells in infections.In the context of my thesis, we studied spontaneous and vaccination induced T-cell responses in melanoma patients. The aim of my studies was to identify situations of T-cell suppression, and pinpoint immune suppressive mechanisms triggered by malignant diseases. We applied recently developed techniques such as multiparameter flow cytometry and gene arrays, allowing the characterization of tumor-reactive T-cells directly ex vivo. In our project, we determined functional capabilities, protein expression, and gene expression profiles of small numbers of T- cells from metastatic tissue and blood obtained from healthy donors and melanoma patients. We found evidence that tumor-specific T-cells were functionally efficient effector cells in peripheral blood, but severely exhausted in metastatic tissue. Our molecular screening revealed the upregulation of multiple inhibitory receptors on tumor-specific T-cells, likely implied in T-cell exhaustion. Functional attenuation of tumor-specific T-cells via inhibitory receptors depended on the anatomical location and immune suppressive mechanisms in the tumor microenvironment, which appeared more important than self-tolerance and anergy mechanisms. Our data reveal novel potential targets for cancer therapy, and contribute to the understanding of cancer biology.RÉSUMÉAu cours de l'évolution, les êtres humains se sont vus doter d'un système immunitaire complexe mais très efficace, avec de multiples mécanismes de défense, principalement contre les infections. Ce système comprend différents types de cellules, dont les lymphocytes Τ qui sont capables de reconnaître et de tuer directement des cellules infectées. Les cellules Τ reconnaissent non seulement des cellules infectées par des virus, mais également des cellules autologues. Dans le cas de maladies auto-immunes, comme par exemple la sclérose en plaques, les cellules Τ s'attaquent à des cellules autologues, ce qui engendre la destruction des tissus sains. Il existe plusieurs systèmes de contrôle des réponses Τ afin de minimiser les réactions immunitaires aberrantes et d'empêcher les dégâts causés par une réponse immunitaire trop importante contre une cible étrangère.Dans le cas de maladies malignes en revanche, une réponse auto-immune peut être avantageuse. Il a été démontré que les lymphocytes Τ étaient également capables de reconnaître et de tuer des cellules tumorales, pouvant même mener à la guérison d'un patient cancéreux. La vaccination peut augmenter fortement la fréquence des cellules Τ réagissant contre une tumeur, particulièrement si elle est combinée avec des adjuvants puissants. Cependant, l'efficacité d'une réponse antitumorale est atténuée par ces mêmes mécanismes de contrôle qui protègent le corps humain des dégâts causés par des cellules Τ activées trop fortement pendant une infection.Dans le cadre de ma recherche de thèse, nous avons étudié les réponses Τ spontanées et induites par la vaccination dans des patients atteints du mélanome. Le but était d'identifier des conditions dans lesquelles les réponses des cellules Τ seraient atténuées, voire inhibées, et d'élucider les mécanismes de suppression immunitaire engendrés par le cancer. Par le biais de techniques nouvelles comprenant la cryométrie de flux et l'analyse globale de l'expression génique à partir d'un nombre minimal de cellules, il nous fut possible de caractériser des cellules Τ réactives contre des tumeurs directement ex vivo. Nous avons examiné les profiles d'expression de gènes et de protéines, ainsi que les capacités fonctionnelles des cellules Τ isolées à partir de tissus métastatiques et à partir du sang de patients. Nos résultats indiquent que les cellules Τ spécifiques aux antigènes tumoraux sont fonctionnelles dans le sang, mais qu'elles sont épuisées dans les tissus métastatiques. Nous avons découvert dans les cellules Τ antitumorales une augmentation de l'expression des récepteurs inhibiteurs probablement impliqués dans l'épuisement de ces lymphocytes T. Cette expression particulière de récepteurs inhibiteurs dépendrait donc de leur localisation anatomique et des mécanismes de suppression existant dans l'environnement immédiat de la tumeur. Nos données révèlent ainsi de nouvelles cibles potentielles pour l'immunothérapie du cancer et contribuent à la compréhension biologique du cancer.

Pathway databases and tools for their exploitation: benefits, current limitations and challenges

In past years, comprehensive representations of cell signalling pathways have been developed by manual curation from literature, which requires huge effort and would benefit from information stored in databases and from automatic retrieval and integration methods. Once a reconstruction of the network of interactions is achieved, analysis of its structural features and its dynamic behaviour can take place. Mathematical modelling techniques are used to simulate the complex behaviour of cell signalling networks, which ultimately sheds light on the mechanisms leading to complex diseases or helps in the identification of drug targets. A variety of databases containing information on cell signalling pathways have been developed in conjunction with methodologies to access and analyse the data. In principle, the scenario is prepared to make the most of this information for the analysis of the dynamics of signalling pathways. However, are the knowledge repositories of signalling pathways ready to realize the systems biology promise? In this article we aim to initiate this discussion and to provide some insights on this issue.

Gene expression profiling of rat spermatogonia and Sertoli cells reveals signaling pathways from stem cells to niche and testicular cancer cells to surrounding stroma.

Background: Stem cells and their niches are studied in many systems, but mammalian germ stem cells (GSC) and their niches are still poorly understood. In rat testis, spermatogonia and undifferentiated Sertoli cells proliferate before puberty, but at puberty most spermatogonia enter spermatogenesis, and Sertoli cells differentiate to support this program. Thus, pre-pubertal spermatogonia might possess GSC potential and pre-pubertal Sertoli cells niche functions. We hypothesized that the different stem cell pools at pre-puberty and maturity provide a model for the identification of stem cell and niche-specific genes. We compared the transcript profiles of spermatogonia and Sertoli cells from pre-pubertal and pubertal rats and examined how these related to genes expressed in testicular cancers, which might originate from inappropriate communication between GSCs and Sertoli cells. Results: The pre-pubertal spermatogonia-specific gene set comprised known stem cell and spermatogonial stem cell (SSC) markers. Similarly, the pre-pubertal Sertoli cell-specific gene set comprised known niche gene transcripts. A large fraction of these specifically enriched transcripts encoded trans-membrane, extra-cellular, and secreted proteins highlighting stem cell to niche communication. Comparing selective gene sets established in this study with published gene expression data of testicular cancers and their stroma, we identified sets expressed genes shared between testicular tumors and pre-pubertal spermatogonia, and tumor stroma and pre-pubertal Sertoli cells with statistic significance. Conclusions: Our data suggest that SSC and their niche specifically express complementary factors for cell communication and that the same factors might be implicated in the communication between tumor cells and their micro-enviroment in testicular cancer.

Inhibition of Notch Pathway Enhances Photoreceptor Commitment From Cultured Retinal Stem Cells

Purpose: Consequently to the principle that photoreceptors have to be at a very precise development stage to be successfully transplanted (MacLaren 2006), we are trying to mimic this development stage in vitro using retinal stem cells. The latter one isolated from the newborn mouse retina, derived from the radial glia population, which were previously isolated and characterized in our laboratory. We developed a protocol to commit these cells to the photoreceptor fate, but even if the percentage of cells expressing photoreceptor markers is high (30%), the differentiation process is incomplete so far (Merhi-Soussi 2006). Methods: In order to ameliorate photoreceptor differentiation, we hypothesized that the Notch pathway may interfere with this process by either promoting glia commitment, or maintaining an undifferentiated state. We are thus using a gamma-secretase inhibitor (DAPT), which inhibits Notch receptor cleavage and thus Notch activation. DAPT was used either during the whole differentiation stimulation, or only during a restricted period in two various retinal stem cell lines (RSC AA and RSC MP1). Results: RT-PCR performed during cell proliferation, showed the same positive expression in both cell lines for the following genes: Math3, Six3, Hes1, NeuroD, Pax6 and Notch1. Additionally, Mash1, Hes5, Prox1, Crx and Otx2 were detected in both cell lines but with a stronger expression in RSC MP1. Opposite results were obtained for Chx10. Nrl, Peripherin/RDS, GFAP and Math5 were detected neither in RSC AA, nor in RSC MP1. The constant presence of DAPT i) leads to a 233% (RSC AA) or 900% (RSC MP1) increase in peripherin/RDS-positive (photoreceptor marker) cells, compared to controls (no DAPT, n=3, P<0.02) along with a 68% (RSC AA) or 80% (RSC MP1) decrease in GFAP- positive cells (n=3, P<0.04), ii) modifies the ratio between uni-/bi- (23%) and multi- (77%) polar peripherin/RDS-positive cells to 45% and 55%, respectively, for both cell lines and iii) reduces by 50% the total cell number during the whole differentiation process for both cell lines. Conclusions: We are now exploring whether this reduction in total cell number is due to inhibition of cell proliferation or to cell death and whether photoreceptor differentiation is promoted instead of glial induction. We also want to confirm the results obtained with DAPT with RSCs isolated from Notch1-loxP mice. Such protocol may help to better mimic photoreceptor development, but this needs to be confirmed by genomic and proteomic profile analyses.

Cancer chronotherapeutics: experimental, theoretical, and clinical aspects.

The circadian timing system controls cell cycle, apoptosis, drug bioactivation, and transport and detoxification mechanisms in healthy tissues. As a consequence, the tolerability of cancer chemotherapy varies up to several folds as a function of circadian timing of drug administration in experimental models. Best antitumor efficacy of single-agent or combination chemotherapy usually corresponds to the delivery of anticancer drugs near their respective times of best tolerability. Mathematical models reveal that such coincidence between chronotolerance and chronoefficacy is best explained by differences in the circadian and cell cycle dynamics of host and cancer cells, especially with regard circadian entrainment and cell cycle variability. In the clinic, a large improvement in tolerability was shown in international randomized trials where cancer patients received the same sinusoidal chronotherapy schedule over 24h as compared to constant-rate infusion or wrongly timed chronotherapy. However, sex, genetic background, and lifestyle were found to influence optimal chronotherapy scheduling. These findings support systems biology approaches to cancer chronotherapeutics. They involve the systematic experimental mapping and modeling of chronopharmacology pathways in synchronized cell cultures and their adjustment to mouse models of both sexes and distinct genetic background, as recently shown for irinotecan. Model-based personalized circadian drug delivery aims at jointly improving tolerability and efficacy of anticancer drugs based on the circadian timing system of individual patients, using dedicated circadian biomarker and drug delivery technologies.

Differential miRNA and IncRNA expression in embryonic stem cells lacking the Notch1 receptor

Embryonic stem (ES) cells-derived cardiomyocytes represent an attractive source of cells in cell replacement therapies for heart disease. However, controlled cardiogenic differentiation of ES cells requires a complete understanding of the complex molecular mechanisms regulating the differentiation process. We have previously shown that differentiation of ES cells into cardiomyocytes is favored by inactivation of the Notch 1 receptor pathway. In the present study, we therefore compared two ES cell lines, one with normal Notchl expression and one carrying deleted Notchl receptor alleles (Notchl-deleted ES cells) in order to identify genes responsible for the increased propensity of Notchl-deleted ES cells to produce cardiomyocytes. Using RNA-sequencing, we found approximately 300 coding and noncoding transcripts, which are differently expressed in undifferentiated Notchl-deleted ES cells. Since accumulating evidences indicate that long noncoding RNAs (IncRNAs) play important roles in ES cell pluripotency and differentiation, we focused our analysis on modulated IncRNAs. In particular, two IncRNAs, named here lnc 1230 and lnc 1335, are highly induced in the absence of Notchl receptor expression. These represent therefore prime candidates that could favor cardiogenic commitment in undifferentiated ES cells. Indeed, we demonstrate that forced expression of these two IncRNAs in wild-type ES cells result in a significant increase of the number of cardiac progenitor cells and cardiomyocytes in the differentiated progeny of these ES cells. Furthermore, we also identify several microRNAs that are differentially modulated in absence of Notchl expression. Among these are miR-142-5p and miR- 381-3p. Interestingly, both lncl230 and lncl335 are targets of these two microRNAs. Altogether, these data suggest that Notchl-dependent noncoding gene networks, implicating microRNAs and IncRNAs, control embryonic stem cell commitment into the mesodermal and cardiac lineages already at the undifferentiated state. - Les cardiomyocytes issus cellules souches embryonnaires sont une source très prometteuse pour les thérapies cellulaire de remplacement dans le cadre des maladies cardiaques. Cependant, l'utilisation de telles cellules requiert une compréhension poussée des mécanismes moléculaire régulant la différenciation. Nous avons par le passé démontré que la différenciation des cellules souches embryonnaires en cardiomyocytes est favorisée par l'inactivation de la voie d'activation intracellulaire dépendante du récepteur Notch 1. Nous avons donc comparé deux lignées de cellules souches embryonnaires, une présentant une voie d'activation Notchl normale et une chez laquelle les allèles codant pour le récepteur Notchl avaient été invalidés, de façon à identifier les gènes impliqués dans la capacité augmentée des cellules déficientes à produire des cardiomyocytes. En utilisant du séquençage d'ARN à haut débit, nous avons trouvé environ 300 gènes différemment exprimés dans les cellules déficientes pour Notchl. Par ailleurs, des évidences de plus en plus nombreuses suggèrent qu'une nouvelle classe de molécules appelée « long noncoding RNAs » joue un rôle prépondérant dans la maintenance de l'état non différencié et de la capacité de différenciation des cellules souches embryonnaires. Nous avons trouvé que plusieurs « long noncoding RNAs » étaient modulés en l'absence de Notchl, et en particulier deux molécules que nous avons appelées lncl230 et lncl335. Ces derniers représentent des candidats potentiels devant permettre de favoriser la production de cardiomyocytes. Nous avons en effet démontré que la surexpression de ces deux candidats dans des cellules souches embryonnaires résultait en une surproduction de cardiomyocytes. De plus, nous avons également identifié plusieurs microRNAs dont l'expression était modulée dans les cellules souches embryonnaires déficientes dans la voie Notchl. De façon intéressante, parmi ces microRNAs, le miR-142-5p et le miR-381-3p sont capables de cibler lncl230 and lncl335. Dans l'ensemble, ces résultats indiquent donc que des réseaux d'interaction dépendant de la voie d'activation Notch 1 et impliquant des ARNs non codant existent dans les cellules souches embryonnaires pour réguler leur différenciation en différent types cellulaires spécifiques.

Ochratoxin A at nanomolar concentration perturbs the homeostasis of neural stem cells in highly differentiated but not in immature three-dimensional brain cell cultures.

Ochratoxin A (OTA), a fungal contaminant of basic food commodities, is known to be highly cytotoxic, but the pathways underlying adverse effects at subcytotoxic concentrations remain to be elucidated. Recent reports indicate that OTA affects cell cycle regulation. Therefore, 3D brain cell cultures were used to study OTA effects on mitotically active neural stem/progenitor cells, comparing highly differentiated cultures with their immature counterparts. Changes in the rate of DNA synthesis were related to early changes in the mRNA expression of neural stem/progenitor cell markers. OTA at 10nM, a concentration below the cytotoxic level, was ineffective in immature cultures, whereas in mature cultures it significantly decreased the rate of DNA synthesis together with the mRNA expression of key transcriptional regulators such as Sox2, Mash1, Hes5, and Gli1; the cell cycle activator cyclin D2; the phenotypic markers nestin, doublecortin, and PDGFRα. These effects were largely prevented by Sonic hedgehog (Shh) peptide (500ngml(-1)) administration, indicating that OTA impaired the Shh pathway and the Sox2 regulatory transcription factor critical for stem cell self-renewal. Similar adverse effects of OTA in vivo might perturb the regulation of stem cell proliferation in the adult brain and in other organs exhibiting homeostatic and/or regenerative cell proliferation.

Identifying the preferred subset of enzymatic profiles in nonlinear kinetic metabolic models via multiobjective global optimization and pareto filters

Optimization models in metabolic engineering and systems biology focus typically on optimizing a unique criterion, usually the synthesis rate of a metabolite of interest or the rate of growth. Connectivity and non-linear regulatory effects, however, make it necessary to consider multiple objectives in order to identify useful strategies that balance out different metabolic issues. This is a fundamental aspect, as optimization of maximum yield in a given condition may involve unrealistic values in other key processes. Due to the difficulties associated with detailed non-linear models, analysis using stoichiometric descriptions and linear optimization methods have become rather popular in systems biology. However, despite being useful, these approaches fail in capturing the intrinsic nonlinear nature of the underlying metabolic systems and the regulatory signals involved. Targeting more complex biological systems requires the application of global optimization methods to non-linear representations. In this work we address the multi-objective global optimization of metabolic networks that are described by a special class of models based on the power-law formalism: the generalized mass action (GMA) representation. Our goal is to develop global optimization methods capable of efficiently dealing with several biological criteria simultaneously. In order to overcome the numerical difficulties of dealing with multiple criteria in the optimization, we propose a heuristic approach based on the epsilon constraint method that reduces the computational burden of generating a set of Pareto optimal alternatives, each achieving a unique combination of objectives values. To facilitate the post-optimal analysis of these solutions and narrow down their number prior to being tested in the laboratory, we explore the use of Pareto filters that identify the preferred subset of enzymatic profiles. We demonstrate the usefulness of our approach by means of a case study that optimizes the ethanol production in the fermentation of Saccharomyces cerevisiae.

Agent-augmented process automation system in a panel board factory

Kiristyvä kansainvälinen kilpailu pakottaa automaatiojärjestelmien valmistajat ottamaan käyttöön uusia menetelmiä, joiden avulla järjestelmien suorituskykyä ja joustavuutta saadaan parannettua. Agenttiteknologiaa on esitetty käytettäväksi olemassa olevien automaatiojärjestelmien kanssa vastaamaan automaatiolle asetettaviin uusiin haasteisiin. Agentit ovat itsenäisiä yhteisöllisiä toimijoita, jotka suorittavat niille ennalta määrättyjä tehtäviä. Ne tarjoavat yhtenäisen kehyksen kehittyneiden toimintojen toteutukselle. Agenttiteknologian avulla automaatiojärjestelmä saadaan toimimaan joustavasti ja vikasietoisesti. Tässä työssä selostetaan agenttiteknologian ajatuksia ja käsitteitä. Lisäksi selvitetään sen soveltuvuutta monimutkaisten ohjausjärjestelmien kehittämiseen ja etsitään käyttökohteita sen soveltamiselle levytehtaassa. Työssä käsitellään myös aatteita, jotka ovat johtaneet agenttiteknologian käyttöön automaatiojärjestelmissä, sekä selostetaan agenttiavusteisen esimerkkisovelluksen rakenne ja testitulokset. Tutkimuksen tuloksena löydettiin useita kohteita agenttiteknologian käytölle levytehtaassa. Esimerkkisovellus osoittaa sen sopivan hyvin kehittyneiden toimintojen toteutukseen automaatiojärjestelmissä.