Macross FB 7 is a crossover retelling the Macross 7 events by subsequent Macross F characters, Macross FB 7: Ore no Uta o Kike! (with "FB" for Fire Bomber). Released in 2012 in celebration of Macross 30th anniversary, Macross FB 7 was a full-length theatrical movie that continued the Macross 7 and Macross F series' story.
Based on the current tools, de novo secretome (full set of proteins secreted by an organism) prediction is a time consuming bioinformatic task that requires a multifactorial analysis in order to obtain reliable in silico predictions. Hence, to accelerate this process and offer researchers a reliable repository where secretome information can be obtained for vertebrates and model organisms, we have developed VerSeDa (Vertebrate Secretome Database). This freely available database stores information about proteins that are predicted to be secreted through the classical and non-classical mechanisms, for the wide range of vertebrate species deposited at the NCBI, UCSC and ENSEMBL sites. To our knowledge, VerSeDa is the only state-of-the-art database designed to store secretome data from multiple vertebrate genomes, thus, saving an important amount of time spent in the prediction of protein features that can be retrieved from this repository directly. Database URL: VerSeDa is freely available at PMID:28365718
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Based on the current tools, de novo secretome (full set of proteins secreted by an organism) prediction is a time consuming bioinformatic task that requires a multifactorial analysis in order to obtain reliable in silico predictions. Hence, to accelerate this process and offer researchers a reliable repository where secretome information can be obtained for vertebrates and model organisms, we have developed VerSeDa (Vertebrate Secretome Database). This freely available database stores information about proteins that are predicted to be secreted through the classical and non-classical mechanisms, for the wide range of vertebrate species deposited at the NCBI, UCSC and ENSEMBL sites. To our knowledge, VerSeDa is the only state-of-the-art database designed to store secretome data from multiple vertebrate genomes, thus, saving an important amount of time spent in the prediction of protein features that can be retrieved from this repository directly. VerSeDa is freely available at The Author(s) 2017. Published by Oxford University Press.
Posterior mediastinal neurogenic tumors have traditionally been resected via an open posterolateral thoracotomy. Video-assisted thorascopic surgery has emerged as an alternative technique allowing for improved morbidity with decreased blood loss, less postoperative pain, and a shorter recovery period, among others. The da Vinci surgical system, as first described for urologic procedures, has recently been reported for lung lobectomy. This technique provides the advantages of instrumentation with 6 degrees of freedom, stable operating arms, and improved visualization with the three-dimensional high-definition camera. We describe the technique for thorascopic resection of an apical paraspinal schwannoma of the T1 nerve root with the da Vinci surgical system. This technique used a specialized intraoperative neuromonitoring probe for free-running electromyography (EMG) and triggered EMG. We demonstrate successful resection of a posterior paraspinal schwannoma with the da Vinci surgical system while preserving neurologic function. The patient displayed stable intraoperative monitoring of the T1 nerve root and full intrinsic hand strength postoperatively. The technique described in this article introduces robotic system accuracy and precludes the need for an open thoracotomy. In addition, this approach demonstrates the ability of the da Vinci surgical system to safely dissect tumors from their neural attachments and is applicable to other such lesions of similar size and location. Georg Thieme Verlag KG Stuttgart New York.
Visualization and analysis of molecular profiling data together with biological networks are able to provide new mechanistic insights into biological functions. Currently, it is possible to visualize high-throughput data on top of pre-defined network layouts, but they are not always adapted to a given data analysis task. A network layout based simultaneously on the network structure and the associated multidimensional data might be advantageous for data visualization and analysis in some cases. We developed a Cytoscape app, which allows constructing biological network layouts based on the data from molecular profiles imported as values of node attributes. DeDaL is a Cytoscape 3 app, which uses linear and non-linear algorithms of dimension reduction to produce data-driven network layouts based on multidimensional data (typically gene expression). DeDaL implements several data pre-processing and layout post-processing steps such as continuous morphing between two arbitrary network layouts and aligning one network layout with respect to another one by rotating and mirroring. The combination of all these functionalities facilitates the creation of insightful network layouts representing both structural network features and correlation patterns in multivariate data. We demonstrate the added value of applying DeDaL in several practical applications, including an example of a large protein-protein interaction network. DeDaL is a convenient tool for applying data dimensionality reduction methods and for designing insightful data displays based on data-driven layouts of biological networks, built within Cytoscape environment. DeDaL is freely available for downloading at -out.curie.fr/projects/dedal/. 2ff7e9595c
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