An Integrative Genomic and Transcriptomic Analysis Reveals Potential Targets Associated with Cell Proliferation in Uterine Leiomyomas

Background: Uterine Leiomyomas (ULs) are the most common benign tumours affecting women of reproductive age. ULs represent a major problem in public health, as they are the main indication for hysterectomy. Approximately 40-50% of ULs have non-random cytogenetic abnormalities, and half of ULs may have copy number alterations (CNAs). Gene expression microarrays studies have demonstrated that cell proliferation genes act in response to growth factors and steroids. However, only a few genes mapping to CNAs regions were found to be associated with ULs. Methodology: We applied an integrative analysis using genomic and transcriptomic data to identify the pathways and molecular markers associated with ULs. Fifty-one fresh frozen specimens were evaluated by array CGH (JISTIC) and gene expression microarrays (SAM). The CONEXIC algorithm was applied to integrate the data. Principal Findings: The integrated analysis identified the top 30 significant genes (P<0.01), which comprised genes associated with cancer, whereas the protein-protein interaction analysis indicated a strong association between FANCA and BRCA1. Functional in silico analysis revealed target molecules for drugs involved in cell proliferation, including FGFR1 and IGFBP5. Transcriptional and protein analyses showed that FGFR1 (P = 0.006 and P<0.01, respectively) and IGFBP5 (P = 0.0002 and P = 0.006, respectively) were up-regulated in the tumours when compared with the adjacent normal myometrium. Conclusions: The integrative genomic and transcriptomic approach indicated that FGFR1 and IGFBP5 amplification, as well as the consequent up-regulation of the protein products, plays an important role in the aetiology of ULs and thus provides data for potential drug therapies development to target genes associated with cellular proliferation in ULs. © 2013 Cirilo et al.

Integrated landmark and outline-based morphometric methods efficiently distinguish species of Euglossa (Hymenoptera, Apidae, Euglossini)

Morphometric methods permit identification of insect species and are an aid for taxonomy. Quantitative wing traits were used to identify male euglossine bees. Landmark- and outline-based methods have been primarily used independently. Here, we combine the two methods using five Euglossa. Landmark-based methods correctly classified 84% and outline-based 77%, but an integrated analysis correctly classified 91% of samples. Some species presented significantly high reclassification percentages when only wing cell contour was considered, and correct identification of specimens with damaged wings was also obtained using this methodology.

Semantic integration of gene expression analysis tools and data sources using software connectors

Abstract Background The study and analysis of gene expression measurements is the primary focus of functional genomics. Once expression data is available, biologists are faced with the task of extracting (new) knowledge associated to the underlying biological phenomenon. Most often, in order to perform this task, biologists execute a number of analysis activities on the available gene expression dataset rather than a single analysis activity. The integration of heteregeneous tools and data sources to create an integrated analysis environment represents a challenging and error-prone task. Semantic integration enables the assignment of unambiguous meanings to data shared among different applications in an integrated environment, allowing the exchange of data in a semantically consistent and meaningful way. This work aims at developing an ontology-based methodology for the semantic integration of gene expression analysis tools and data sources. The proposed methodology relies on software connectors to support not only the access to heterogeneous data sources but also the definition of transformation rules on exchanged data. Results We have studied the different challenges involved in the integration of computer systems and the role software connectors play in this task. We have also studied a number of gene expression technologies, analysis tools and related ontologies in order to devise basic integration scenarios and propose a reference ontology for the gene expression domain. Then, we have defined a number of activities and associated guidelines to prescribe how the development of connectors should be carried out. Finally, we have applied the proposed methodology in the construction of three different integration scenarios involving the use of different tools for the analysis of different types of gene expression data. Conclusions The proposed methodology facilitates the development of connectors capable of semantically integrating different gene expression analysis tools and data sources. The methodology can be used in the development of connectors supporting both simple and nontrivial processing requirements, thus assuring accurate data exchange and information interpretation from exchanged data.

Integrated mRNA and miRNA expression profiling in blood reveals candidate biomarkers associated with endurance exercise in the horse.

The adaptive response to extreme endurance exercise might involve transcriptional and translational regulation by microRNAs (miRNAs). Therefore, the objective of the present study was to perform an integrated analysis of the blood transcriptome and miRNome (using microarrays) in the horse before and after a 160 km endurance competition. A total of 2,453 differentially expressed genes and 167 differentially expressed microRNAs were identified when comparing pre- and post-ride samples. We used a hypergeometric test and its generalization to gain a better understanding of the biological functions regulated by the differentially expressed microRNA. In particular, 44 differentially expressed microRNAs putatively regulated a total of 351 depleted differentially expressed genes involved variously in glucose metabolism, fatty acid oxidation, mitochondrion biogenesis, and immune response pathways. In an independent validation set of animals, graphical Gaussian models confirmed that miR-21-5p, miR-181b-5p and miR-505-5p are candidate regulatory molecules for the adaptation to endurance exercise in the horse. To the best of our knowledge, the present study is the first to provide a comprehensive, integrated overview of the microRNA-mRNA co-regulation networks that may have a key role in controlling post-transcriptomic regulation during endurance exercise.

Spatial analysis of geometric design consistency and road sight distance

Because of the high number of crashes occurring on highways, it is necessary to intensify the search for new tools that help in understanding their causes. This research explores the use of a geographic information system (GIS) for an integrated analysis, taking into account two accident-related factors: design consistency (DC) (based on vehicle speed) and available sight distance (ASD) (based on visibility). Both factors require specific GIS software add-ins, which are explained. Digital terrain models (DTMs), vehicle paths, road centerlines, a speed prediction model, and crash data are integrated in the GIS. The usefulness of this approach has been assessed through a study of more than 500 crashes. From a regularly spaced grid, the terrain (bare ground) has been modeled through a triangulated irregular network (TIN). The length of the roads analyzed is greater than 100 km. Results have shown that DC and ASD could be related to crashes in approximately 4% of cases. In order to illustrate the potential of GIS, two crashes are fully analyzed: a car rollover after running off road on the right side and a rear-end collision of two moving vehicles. Although this procedure uses two software add-ins that are available only for ArcGIS, the study gives a practical demonstration of the suitability of GIS for conducting integrated studies of road safety.

An integrated framework for ensuring the quality of software design

Software development is an extremely complex process, during which human errors are introduced and result in faulty software systems. It is highly desirable and important that these errors can be prevented and detected as early as possible. Software architecture design is a high-level system description, which embodies many system features and properties that are eventually implemented in the final operational system. Therefore, methods for modeling and analyzing software architecture descriptions can help prevent and reveal human errors and thus improve software quality. Furthermore, if an analyzed software architecture description can be used to derive a partial software implementation, especially when the derivation can be automated, significant benefits can be gained with regard to both the system quality and productivity. This dissertation proposes a framework for an integrated analysis on both of the design and implementation. To ensure the desirable properties of the architecture model, we apply formal verification by using the model checking technique. To ensure the desirable properties of the implementation, we develop a methodology and the associated tool to translate an architecture specification into an implementation written in the combination of Arch-Java/Java/AspectJ programming languages. The translation is semi-automatic so that many manual programming errors can be prevented. Furthermore, the translation inserting monitoring code into the implementation such that runtime verification can be performed, this provides additional assurance for the quality of the implementation. Moreover, validations for the translations from architecture model to program are provided. Finally, several case studies are experimented and presented.

EMMA 2--a MAGE-compliant system for the collaborative analysis and integration of microarray data

Background: Understanding transcriptional regulation by genome-wide microarray studies can contribute to unravel complex relationships between genes. Attempts to standardize the annotation of microarray data include the Minimum Information About a Microarray Experiment (MIAME) recommendations, the MAGE-ML format for data interchange, and the use of controlled vocabularies or ontologies. The existing software systems for microarray data analysis implement the mentioned standards only partially and are often hard to use and extend. Integration of genomic annotation data and other sources of external knowledge using open standards is therefore a key requirement for future integrated analysis systems. Results: The EMMA 2 software has been designed to resolve shortcomings with respect to full MAGE-ML and ontology support and makes use of modern data integration techniques. We present a software system that features comprehensive data analysis functions for spotted arrays, and for the most common synthesized oligo arrays such as Agilent, Affymetrix and NimbleGen. The system is based on the full MAGE object model. Analysis functionality is based on R and Bioconductor packages and can make use of a compute cluster for distributed services. Conclusion: Our model-driven approach for automatically implementing a full MAGE object model provides high flexibility and compatibility. Data integration via SOAP-based web-services is advantageous in a distributed client-server environment as the collaborative analysis of microarray data is gaining more and more relevance in international research consortia. The adequacy of the EMMA 2 software design and implementation has been proven by its application in many distributed functional genomics projects. Its scalability makes the current architecture suited for extensions towards future transcriptomics methods based on high-throughput sequencing approaches which have much higher computational requirements than microarrays.

Analise cinematica da movimentação dos membros superiores e inferiores, tronco e cabeça durante a marcha de hemipareticos

Universidade Estadual de Campinas . Faculdade de Educação Física

Safety of the etonogestrel-releasing implant during the immediate postpartum period: a pilot study

Background: The effects of etonogestrel (ETG)-releasing contraceptive implant during the immediate postpartum period on maternal safety are unknown. Study design: Forty healthy women exclusively breastfeeding were randomized to receive either ETG-releasing implant 24-48 h after delivery (n=20) or depot medroxyprogesterone acetate (DMPA group; n=20) at the sixth week postpartum. We measured blood pressure, maternal and neonatal weight, body mass index (BMI; kg/m(2)), waist circumference (WC), complete blood count, C-reactive protein, interleukin-6, tumor necrosis factor (TNF-alpha), lipid profile, fasting serum glucose and maintenance of exclusive lactation up to the 12th week postpartum. Results: Decreases in mean maternal weight, BMI (kg/m(2)) and WC were significantly greater in the ETG-releasing implant group than in the MPA group during the first 6 weeks postpartum (-4.64 +/- 2.71 kg vs. -2.6 +/- 2.45 kg mean +/- SD, p=.017; -1.77 +/- 1.06 kg/m(2) vs. -0.97 +/- 0.95 kg/m(2), p=.026; -15.3 +/- 6.72 cm vs. -9.05 +/- 5.84 cm, p=.003, respectively). In addition, total cholesterol and HDL, were lower in DMPA users, and TNF-alpha and leukocytes were higher in DMPA users compared to in the implant group, between 6 and 12 weeks after delivery. The newborns of implant users showed a trend towards gaining more weight, as compared with the infants of the DMPA mothers during the first 6 weeks of life (implant group: +1460.50 +/- 621.34 g vs. DMPA group: +1035.0 +/- 562.43 g, p=.05). The remaining variables, including the duration of exclusive breastfeeding, were similar between the groups. Conclusion: The insertion of ETG-releasing contraceptive implant during the immediate postpartum period was not associated with deleterious maternal clinical effects or with significant maternal metabolic alterations or decreased infant weight gain. (C) 2009 Elsevier Inc. All rights reserved.

Morfologia e distribuição sedimentar em um sistema estuarino tropical : Baía de Vitória, ES

A Baía de Vitória é um sistema estuarino da costa leste do Brasil que apresenta grande importância econômica e características ímpares, já que se desenvolveu entre três unidades geomorfológicas distintas. Apesar disto, este ambiente apresenta poucos estudos relacionados às suas características geológicas e oceanográficas. O presente trabalho se focou no preenchimento desta lacuna através da descrição da morfologia, da distribuição sedimentar e dos padrões sonográficos da Baía de Vitória, buscando relações entre os mesmos e inferindo os processos sedimentares dominantes em cada trecho do estuário. A análise integrada mostrou boa correlação entre os métodos e revelou a grande complexidade deste sistema estuarino. Três diferentes regiões foram identificadas mostrando processos distintos: o estuário superior apresentou input sedimentar fluvial e processos estuarinos; um largo trecho da região central do sistema apresentou características erosivas, relacionadas a adaptações morfológicas e ao aumento das correntes provocadas pelos estreitamentos artificiais da baía, propiciando a formação de formas de fundo; e a boca do estuário se apresentou dominada por processos marinhos. Parte da região central do estuário mostrou características mascaradas pela atividade antrópica através da instalação de pontes, aterros e dragagens.

Sonar de varredura lateral e sísmica de alta resolução aplicados no estudo de ecofácies na baía de Vitória-ES

Levantamentos geofísicos de alta resolução e amostragem de sedimentos de fundo foram realizados na Baía de Vitória tendo como objetivo mapear o fundo marinho acusticamente. A análise integrada de registros de sonar de varredura lateral e sísmica rasa permitiu o reconhecimento de 4 ecofácies distintas. A ecofácies Tipo 1 está associada a fundos sem penetração do sinal acústico e com sonogramas de alta intensidade de retorno do sinal e dunas subaquosas, onde areias são predominantes. A ecofácies Tipo 2 ocorre comumente em fundos areno-lamosos que apresentam alta penetração do sinal acústico e baixa intensidade do sinal nos sonogramas. A ecofácies Tipo 3 é caracterizada por uma penetração transparente do sinal até encontrar um refletor de alta amplitude e sem penetração, sendo típica de fundos lamosos. A ecofácies Tipo 4 está diretamente associada a fundos rochosos. A análise da distribuição destas ecofácies permite a interpretação dos principais processos sedimentares que atuam ao longo da baía.

Qualidade da água da lagoa Juara (Serra/ES) : avaliações físicas, químicas e respostas fisiológicas e citogenéticas em plantas

A gestão dos recursos hídricos necessita da integração entre os critérios físicos e químicos, e os aspectos bióticos, os quais possibilitam identificar os efeitos combinados de substâncias e avaliar suas influências. Os sistemas testes Allium cepa e Tradescantia pallida, são utilizados para o estudo da poluição aquática a partir de aspectos citogenéticos. Além destes biomarcadores, os teores de clorofila também são utilizados em estudos de estresse devido ao reflexo a múltiplos fatores. Assim, o objetivo deste trabalho foi avaliar a qualidade da água da lagoa Juara (Município de Serra/ES) pela análise integrada de aspectos físicos, químicos e ecotoxicológicos a partir de estudos citogenéticos em A. cepa e T. pallida, e fotossintéticos nesta última espécie. Foram definidas três estações amostrais ao longo da lagoa e a partir de amostras de água foram analisados parâmetros tais como condutividade, oxigênio dissolvido, concentração de nutrientes e metais. A determinação dos metais ocorreu por análises de espectrometria de massa. O teste do A. cepa foi realizado a partir sementes germinadas em amostras de água da lagoa. Com plantas de T. pallida, foi realizado o ensaio da mitose em ponta de raiz de T. pallida e dosado os teores de pigmentos cloroplastídicos em folhas totalmente expandidas. Para tanto, foi realizado ensaio utilizando-se a água da lagoa como solvente para solução de Hoagland onde estacas previamente enraizadas de T. pallida foram expostas durante 24 horas e 40 dias para as avaliações citogenéticas e fotossintéticas, respectivamente. Foi realizado novo teste do A. cepa nas águas da lagoa após os 40 dias de ensaio para aferir a manutenção das propriedades químicas das amostras. A avaliação citogenética nas duas espécies envolveu a análise dos índice mitótico (IM), índice de aberrações cromossômicas (AC) e frequência de micronúcleos (MN). Para a análise estatística foi utilizada a análise de variância seguida pelo teste de Tukey (p < 0.05) para a comparação dos tratamentos durante a mesma campanha, e teste de Bonferroni (p < 0,05) para a comparação entre as campanhas. Os resultados físicos e químicos mensurados demonstram que a lagoa Juara apresenta indícios de eutroficação artificial. Duas estações amostrais, em pelo menos uma campanha amostral, apresentaram potenciais citotóxico, genotóxico e mutagênico. Todavia, esses potenciais não demonstram relação com os teores de Fe e Mn quantificados, levando a crer que tais pontos apresentam outros potenciais poluentes. Os danos citogenéticos observados apresentaram efeitos maximizados durante a segunda campanha, demostrando o efeito do período de chuva na intensificação da poluição nesse ambiente. O estudo do metabolismo fotossintético em T. pallida, demonstrou os teores de pigmentos cloroplastídicos relacionados ao elevado aporte de nutrientes presentes nas estações J2 e J3. Sendo o excesso destes, o provável responsável pelo teor inferior de pigmentos em J3. Observa-se que os ensaios com A. cepa e T. pallida responderam de maneira fidedigna ao risco potencial do ambiente, complementando as análises físicas e químicas usualmente utilizadas na avaliação da qualidade da água de ambientes lacustres.

Economic evaluation of occupational safety preventive measures in a hospital

BACKGROUND: When an organization performs an integrated analysis of risks through its Occupational Health and Safety Management System, several steps are suggested to address the implications of the identified risks. Namely, the organization should make a detailed analysis of the monetary impact for the organization of each of the preventive measures considered. However, it is also important to perform an analysis of the impact of each measure on society (externalities). OBJECTIVE: The aim of this paper is to present a case study related to the application of the proposed economic evaluation methodology. METHODS: An analysis of the work accidents in a hospital has been made. Three of the major types of accidents have been selected: needle stings, falls and excessive strain. Following the risk assessment, some preventive measures have been designed. Subsequently, the Benefit/Cost ratio (B/C) of these measures has been calculated, both in financial terms (from the organization’s perspective) and in economic terms (including the benefits for the worker and for the Society). RESULTS: While the financial ratio is only advantageous in some cases, when the externalities are taken into account, the B/C ratio increases significantly. CONCLUSIONS: It is important to consider external benefits to make decisions concerning the implementation of preventive measures in Occupational Health and Safety projects

Impact of flavor-changing neutral current top quark interactions on BR(t -> bW)

We study the effect that flavor-changing neutral current interactions of the top quark will have on the branching ratio of charged decays of the top quark. We have performed an integrated analysis using Tevatron and B-factories data and with just the further assumption that the Cabibbo-Kobayashi-Maskawa matrix is unitary, we can obtain very restrictive bounds on the strong and electroweak flavor-changing neutral current branching ratios Br(t -> qX)< 4.0x10(-4), where X is any vector boson and a sum in q=u, c is implied.

PHYLOViZ: phylogenetic inference and data visualization for sequence based typing methods

Background: With the decrease of DNA sequencing costs, sequence-based typing methods are rapidly becoming the gold standard for epidemiological surveillance. These methods provide reproducible and comparable results needed for a global scale bacterial population analysis, while retaining their usefulness for local epidemiological surveys. Online databases that collect the generated allelic profiles and associated epidemiological data are available but this wealth of data remains underused and are frequently poorly annotated since no user-friendly tool exists to analyze and explore it. Results: PHYLOViZ is platform independent Java software that allows the integrated analysis of sequence-based typing methods, including SNP data generated from whole genome sequence approaches, and associated epidemiological data. goeBURST and its Minimum Spanning Tree expansion are used for visualizing the possible evolutionary relationships between isolates. The results can be displayed as an annotated graph overlaying the query results of any other epidemiological data available. Conclusions: PHYLOViZ is a user-friendly software that allows the combined analysis of multiple data sources for microbial epidemiological and population studies. It is freely available at http://www.phyloviz.net.