46 research outputs found

    Endovascular Stent-Graft Placement for Vascular Failure of the Thoracic Aorta

    Get PDF
    It still remains undetermined whether endovascular stent-graft placement (ESGP) is the optimal initial treatment for elective cases of thoracic aortic disease because of unknown long-term results. However, it is also recognized that ESGP contributes to better outcome as an initial treatment for aortic emergency, such as rupture, aortic injury, and complicated acute type B aortic dissection. Despite the fact that most patients are elderly, early mortality rates of ESGP are reportedly around 10% in cases of ruptured degenerative thoracic aortic aneurysm. Postoperative morbidity is also superior in ESGP compared with conventional open repair. Postoperative paraplegia has rarely occurred with ESGP. In cases of blunt aortic injury (BAI), other complications may also be present because of other serious injuries. ESGP has changed the surgical strategy for BAI and partially resolved some of the clinical dilemmas. Early mortality rate is almost zero when a stent graft can be placed before re-rupture. While BAI is a very good indication for ESGP, young patients need careful management and attention because of the unknown long-term outcome. In cases of complicated acute type B aortic dissection, the two main determinants of death, shock from rupture and visceral ischemia, could be managed by ESGP with or without conventional endovascular interventions. Recent reports disclosed less than 10% early mortality with ESGP for complicated acute aortic dissection. Even if the possibility of endotension remains, ESPG seems to be beneficial for these critical patients as the preferable initial treatment. The importance of close follow-up should be stressed to avoid some devastating late complications following ESGP

    Generation of high-power arbitrary-wave-form modulated inductively coupled plasmas for materials processing

    Get PDF
    é‡‘ę²¢å¤§å­¦å¤§å­¦é™¢č‡Ŗē„¶ē§‘å­¦ē ”ē©¶ē§‘電子ē§‘å­¦é‡‘ę²¢å¤§å­¦å·„å­¦éƒØAn arbitrary-wave-form modulated induction thermal plasma (AMITP) system was developed using a high-power semiconductor high-frequency power supply. The modulated high-power plasma is a breakthrough technique for controlling the temperature and the radical density in high-density plasmas. The arbitrary-wave-form modulation of the coil current enables more detailed control of the temperature of the high-density plasmas than the pulse-amplitude modulation that has already been developed. The Ar AMITP with intentionally modulated coil current could be generated at a power of 10-15 kW. Results showed that the Ar excitation temperature between the specified excitation levels was changed intentionally according to the modulation control signal. Ā© 2007 American Institute of Physics

    High-Throughput Cryopreservation of Plant Cell Cultures for Functional Genomics

    Get PDF
    Suspension-cultured cell lines from plant species are useful for genetic engineering. However, maintenance of these lines is laborious, involves routine subculturing and hampers wider use of transgenic lines, especially when many lines are required for a high-throughput functional genomics application. Cryopreservation of these lines may reduce the need for subculturing. Here, we established a simple protocol for cryopreservation of cell lines from five commonly used plant species, Arabidopsis thaliana, Daucus carota, Lotus japonicus, Nicotiana tabacum and Oryza sativa. The LSP solution (2 M glycerol, 0.4 M sucrose and 86.9 mM proline) protected cells from damage during freezing and was only mildly toxic to cells kept at room temperature for at least 2 h. More than 100 samples were processed for freezing simultaneously. Initially, we determined the conditions for cryopreservation using a programmable freezer; we then developed a modified simple protocol that did not require a programmable freezer. In the simple protocol, a thick expanded polystyrene (EPS) container containing the vials with the cellā€“LSP solution mixtures was kept at āˆ’30Ā°C for 6 h to cool the cells slowly (pre-freezing); samples from the EPS containers were then plunged into liquid nitrogen before long-term storage. Transgenic Arabidopsis cells were subjected to cryopreservation, thawed and then re-grown in culture; transcriptome and metabolome analyses indicated that there was no significant difference in gene expression or metabolism between cryopreserved cells and control cells. The simplicity of the protocol will accelerate the pace of research in functional plant genomics

    Tools and Databases of the KOMICS Web Portal for Preprocessing, Mining, and Dissemination of Metabolomics Data

    No full text
    A metabolomeā€”the collection of comprehensive quantitative data on metabolites in an organismā€”has been increasingly utilized for applications such as data-intensive systems biology, disease diagnostics, biomarker discovery, and assessment of food quality. A considerable number of tools and databases have been developed to date for the analysis of data generated by various combinations of chromatography and mass spectrometry. We report here a web portal named KOMICS (The Kazusa Metabolomics Portal), where the tools and databases that we developed are available for free to academic users. KOMICS includes the tools and databases for preprocessing, mining, visualization, and publication of metabolomics data. Improvements in the annotation of unknown metabolites and dissemination of comprehensive metabolomic data are the primary aims behind the development of this portal. For this purpose, PowerGet and FragmentAlign include a manual curation function for the results of metabolite feature alignments. A metadata-specific wiki-based database, Metabolonote, functions as a hub of web resources related to the submitters' work. This feature is expected to increase citation of the submitters' work, thereby promoting data publication. As an example of the practical use of KOMICS, a workflow for a study on Jatropha curcas is presented. The tools and databases available at KOMICS should contribute to enhanced production, interpretation, and utilization of metabolomic Big Data
    corecore