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  • Nuclei  (1)
  • time series  (1)
  • Springer  (2)
  • American Society of Hematology
  • Frontiers Media
  • Springer Nature
  • Wiley
  • ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft Kiel, Hamburg
  • 2000-2004  (1)
  • 1985-1989  (1)
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  • Springer  (2)
  • American Society of Hematology
  • Frontiers Media
  • Springer Nature
  • Wiley
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  • 2000-2004  (1)
  • 1985-1989  (1)
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  • 1
    ISSN: 1615-6102
    Keywords: Phosphatidylinositol ; Lysophosphatidylinositol ; Phosphoinositides ; Nuclei ; Membrane
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Nuclei were isolated from carrot protoplasts and the distribution of [3H]inositol-labeled phospholipids was analyzed by thinlayer chromatography. Phosphatidylinositol (PI), lysophos-phatidylinositol (LPI), phosphatidylinositol monophosphate (PIP), lysophosphatidylinositol monophosphate (LPIP), and phosphatidylinositol bisphosphate (PIP2) were 55.7%, 12.3%, 5.0%, 11.5%, and 3.6% of the respective [3H]inositol-labeled lipids recovered from the nuclear fraction. While both the plasma membrane and nuclear fraction contained polyphosphoinositides, the distribution of the phosphoinositides and the amount of inositol-labeled lipid were distinct. For example, the nuclear fraction had a higher percentage of LPI and PIP2 and less PI and LPIP than the plasma membrane fraction. The amount of [3H]inositol-labeled lipid recovered from the nuclear fraction per mg protein was an order of magnitude lower than that recovered from either the plasma membrane of lower phase fraction isolated by aqueous two-phase partitioning, or from whole cells and protoplasts. In addition, when the ratio of the [3H]inositol-labeled lipid was compared to total [14C]myristate-labeled lipid recovered there was three to ten fold less [3H] relative to [14C] in the nuclear fraction. These data indicate that while the polyphosphoinositides are a relatively high percentage of the inositol lipid in the nuclear fraction, the inositol lipid was only a small portion of the total lipid in the nuclei. Despite this low concentration of inositol lipid, when [γ 32P]-ATP was added to the isolated nuclei,32P-labeled PIP and PIP2 were synthesized. Thus, the carrot nuclei contained PI and PIP kinase as well as the polyphosphoinositides.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Mathematical geology 32 (2000), S. 159-185 
    ISSN: 1573-8868
    Keywords: El Niño—Southern Oscillation ; real time ; data analysis ; time series ; animation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract Traditional undergraduate education in earth sciences does not emphasize data acquisition, analysis, or assessment. However, arrival of the information age dictates that earth sciences graduates be imbued with fundamental skills to organize, evaluate and process large data sets. Fortunately, the proliferation of remotely sensed data and its availability via the Internet provides many opportunities for earth science educators to meet these needs. Exercises to introduce students to data analysis have been designed utilizing data from the Tropical Atmosphere–Ocean (TAO) Array and the 1997–1998 El Niño episode in the tropical Pacific Ocean. The TAO Array is a grid of 69 buoys moored across the equatorial Pacific Ocean (8°N to 8°S and 95°W to 143°E) recording environmental data relevant to El Niño—Southern Oscillation (ENSO) processes. Data from the TAO Array is available in near-real-time (http://www.pmel.noaa.gov/toga-tao/realtime.html) or as archived ASCII files (http://www.pmel.noaa.gov/toga-tao/data-delivery.html) providing daily (sometimes hourly) records of environmental parameters for each buoy in the grid. Student exercises in data analysis begin with downloading data from buoy locations, parsing the data into spreadsheets, and organizing data by environmental parameter into yearly and monthly data sets. Analyses of reconstructed data include calculations of long-term averages of environmental parameters, seasonal climatologies, monthly climatologies and calculation of long-term, seasonal, and monthly anomalies. Finally, monthly anomaly maps produced by students are loaded sequentially into GIF-animation software to create time-series images illustrating the progress and development of the 1997–1998 El Niño event.
    Type of Medium: Electronic Resource
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