37 research outputs found

    RARGE: a large-scale database of RIKEN Arabidopsis resources ranging from transcriptome to phenome

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    The RIKEN Arabidopsis Genome Encyclopedia (RARGE) database houses information on biological resources ranging from transcriptome to phenome, including RIKEN Arabidopsis full-length (RAFL) complementary DNAs (cDNAs), their promoter regions, Dissociation (Ds) transposon-tagged lines and expression data from microarray experiments. RARGE provides tools for searching by resource code, sequence homology or keyword, and rapid access to detailed information on the resources. We have isolated 245 946 RAFL cDNA clones and collected 11 933 transposon-tagged lines, which are available from the RIKEN Bioresource Center and are stored in RARGE. The RARGE web interface can be accessed at http://rarge.gsc.riken.jp/. Additionally, we report 90 000 new RAFL cDNA clones here

    A flexible representation of omic knowledge for thorough analysis of microarray data

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    BACKGROUND: In order to understand microarray data reasonably in the context of other existing biological knowledge, it is necessary to conduct a thorough examination of the data utilizing every aspect of available omic knowledge libraries. So far, a number of bioinformatics tools have been developed. However, each of them is restricted to deal with one type of omic knowledge, e.g., pathways, interactions or gene ontology. Now that the varieties of omic knowledge are expanding, analysis tools need a way to deal with any type of omic knowledge. Hence, we have designed the Omic Space Markup Language (OSML) that can represent a wide range of omic knowledge, and also, we have developed a tool named GSCope3, which can statistically analyze microarray data in comparison with the OSML-formatted omic knowledge data. RESULTS: In order to test the applicability of OSML to represent a variety of omic knowledge specifically useful for analysis of Arabidopsis thaliana microarray data, we have constructed a Biological Knowledge Library (BiKLi) by converting eight different types of omic knowledge into OSML-formatted datasets. We applied GSCope3 and BiKLi to previously reported A. thaliana microarray data, so as to extract any additional insights from the data. As a result, we have discovered a new insight that lignin formation resists drought stress and activates transcription of many water channel genes to oppose drought stress; and most of the 20S proteasome subunit genes show similar expression profiles under drought stress. In addition to this novel discovery, similar findings previously reported were also quickly confirmed using GSCope3 and BiKLi. CONCLUSION: GSCope3 can statistically analyze microarray data in the context of any OSML-represented omic knowledge. OSML is not restricted to a specific data type structure, but it can represent a wide range of omic knowledge. It allows us to convert new types of omic knowledge into datasets that can be used for microarray data analysis with GSCope3. In addition to BiKLi, by collecting various types of omic knowledge as OSML libraries, it becomes possible for us to conduct detailed thorough analysis from various biological viewpoints. GSCope3 and BiKLi are available for academic users at our web site

    ICP MS ニヨル カンキョウ γ‚·γƒͺョウチγƒ₯ウ γƒŽ コンセキ ゲンソ γƒŽ ソクテむ 1 ICP MS ソウチ γƒŽ ァむテキ ジョウケン γ‚ͺヨビ γ‚½γƒŽ ブンセキ セむド

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    For determination of trace elements in environmental sample by inductively coupled plasma mass spectrometry (ICP-MS), the optimum condition of ICP-MS was determined and the stability of ICP-MS and the precision of elements concentration were investigated. The optimum condition was the sampling depth : 13 mm and RF-power : 1.2 KW. The stability of ICP-MS was indicated little drift of ionic strength after plasma lighting, however, ICP-MS was stabilized after 40 minutes. The coefficient variation (CV) of analyzed element concentration by external calibration was under 3% and the precision of analysis was very high

    ICP MS ニヨル カンキョウ γ‚·γƒͺョウチγƒ₯ウ γƒŽ コンセキ ゲンソ γƒŽ ソクテむ 2 ICP MS ニヨル カンキョウ ヒョウジγƒ₯ン γ‚·γƒͺョウ NIES チャバチγƒ₯ウ γƒŽ コンセキ ゲンソ γƒŽ ソクテむ

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    Fast and efficient sample digestion is achieved by a microwave-nitric acid procedure. The ICP-MS analysis is performed with single standard calibration. The optimum condition of microwave digestion is determined. Dried samples of 0.1g were digested into the Teflon cup of high-pressure microwave acid-digestion bomb for 20-30 seconds. For all elements except Ca and Cu, good agreement exists between ICP -MS and certified values

    Trends in life science grid: from computing grid to knowledge grid

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    BACKGROUND: Grid computing has great potential to become a standard cyberinfrastructure for life sciences which often require high-performance computing and large data handling which exceeds the computing capacity of a single institution. RESULTS: This survey reviews the latest grid technologies from the viewpoints of computing grid, data grid and knowledge grid. Computing grid technologies have been matured enough to solve high-throughput real-world life scientific problems. Data grid technologies are strong candidates for realizing "resourceome" for bioinformatics. Knowledge grids should be designed not only from sharing explicit knowledge on computers but also from community formulation for sharing tacit knowledge among a community. CONCLUSION: Extending the concept of grid from computing grid to knowledge grid, it is possible to make use of a grid as not only sharable computing resources, but also as time and place in which people work together, create knowledge, and share knowledge and experiences in a community

    A compact fluorescence polarization analyzer with high-transmittance liquid crystal layer

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    Fluorescence polarization (FP) offers easy operation and rapid processing, making it implementable in molecular interaction analysis. Previously we have developed a unique FP measurement system using a liquid crystal (LC) layer and an image sensor. The system is based on a principle of synchronized detection between the switching rate of the LC layer and the sampling rate of the CCD. The FP system realized simultaneous multiple sample detection; however, the measurement precision was lower than that of the conventional FP apparatus. The main drawbacks were low light transmittance of the LC layer and insufficient synchronization between the LC layer and CCD. In this paper, we developed a new FP analyzer based on LC-CCD synchronization detection. By using a newly designed LC with high transmittance and improving synchronization, the performance of the system has been dramatically improved. Additionally, we reduced the cost by using an inexpensive CCD and an LED as the excitation source. Simultaneous FP immunoassay of multiple samples of prostaglandin E2 was performed. The error rate of the FP system is reduced from 16.9% to 3.9%, as comparable to the commercial conventional FP system. Published by AIP Publishing

    Genome-wide analysis of alternative pre-mRNA splicing in Arabidopsis thaliana based on full-length cDNA sequences

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    We mapped RIKEN Arabidopsis full-length (RAFL) cDNAs to the Arabidopsis thaliana genome to search for alternative splicing events. We used 278 734 full-length and 3β€²/5β€² terminal reads of the sequences of 220 214 RAFL cDNA clones for the analysis. Eighty-nine percent of the cDNA sequences could be mapped to the genome and were clustered in 17 130 transcription units (TUs). Alternative splicing events were found in 1764 out of 15 214 TUs (11.6%) with multiple sequences. We collected full-length cDNA clones from plants grown under various environmental conditions or from various organs. We then analyzed the correlation between alternative splicing events and environmental stress conditions. Alternative splicing profiles changed according to environmental stress conditions and the various developmental stages of plant organs. In particular, cold-stress conditions affected alternative splicing profiles. The change in alternative splicing profiles under cold stress may be mediated by alternative splicing and transcriptional regulation of splicing factors
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