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  • 1
    ISSN: 0730-2312
    Keywords: CAAX motif ; farnesyltransferase inhibitor ; K-ras ; lung cancer ; monoterpene ; Life and Medical Sciences ; Cell & Developmental Biology
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Notes: This study was designed to test the chemopreventive potential of perillyl alcohol, an inhibitor of farnesyltransferase, in a mouse lung tumor bioassay. Perillyl alcohol is a naturally occurring monoterpene found in lavender, cherries, and mint. We have shown previously that the majority of lung tumors in this bioassay have an activating mutation in the K-ras gene, which occurs early in the development of mouse lung carcinogenesis. The Ras protein undergoes a series of post-translational modifications, the first of which is farnesylation at the cysteine of the C-terminal CAAX motif. These modifications lead to the anchoring of Ras p21 to the plasma membrane in its biologically active state. Activated Ras p21 couples growth regulatory signals from receptor tyrosine kinases to cytoplasmic second messengers. In a preliminary study, we determined the maximum tolerated dose of perillyl alcohol to be 75 mg/kg body weight. For the bioassay, 5-week-old male (C3H/HeJ X A/J) F1 hybrid mice were randomized into trial groups, and treated with perillyl alcohol three times per week i.p., starting 1 week prior to initiation with the carcinogen NNK, and continuing for 22 weeks after initiation. Our results show a 22% reduction in tumor incidence, and a 58% reduction in tumor multiplicity. Our study demonstrates that perillyl alcohol is an effective chemopreventive compound in the mouse lung tumor bioassay. J. Cell. Biochem. Suppl. 27:20-25. © 1998 Wiley-Liss, Inc.
    Additional Material: 1 Ill.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2019-07-12
    Description: The quantification of uncertainty of global surface albedo data and products is a critical part of producing complete, physically consistent, and decadal land property data records for studying ecosystem change. A current challenge in validating satellite retrievals of surface albedo is the ability to overcome the spatial scaling errors that can contribute on the order of 20% disagreement between satellite and field-measured values. Here, we present the results from an uncertain ty analysis of MODerate Resolution Imaging Spectroradiometer (MODIS) and Landsat albedo retrievals, based on collocated comparisons with tower and airborne multi-angular measurements collected at the Atmospheric Radiation Measurement Program s (ARM) Cloud and Radiation Testbed (CART) site during the 2007 Cloud and Land Surface Interaction Campaign (CLAS33 IC 07). Using standard error propagation techniques, airborne measurements obtained by NASA s Cloud Absorption Radiometer (CAR) were used to quantify the uncertainties associated with MODIS and Landsat albedos across a broad range of mixed vegetation and structural types. Initial focus was on evaluating inter-sensor consistency through assessments of temporal stability, as well as examining the overall performance of satellite-derived albedos obtained at all diurnal solar zenith angles. In general, the accuracy of the MODIS and Landsat albedos remained under a 10% margin of error in the SW(0.3 - 5.0 m) domain. However, results reveal a high degree of variability in the RMSE (root mean square error) and bias of albedos in both the visible (0.3 - 0.7 m) and near-infrared (0.3 - 5.0 m) broadband channels; where, in some cases, retrieval uncertainties were found to be in excess of 20%. For the period of CLASIC 07, the primary factors that contributed to uncertainties in the satellite-derived albedo values include: (1) the assumption of temporal stability in the retrieval of 500 m MODIS BRDF values over extended periods of cloud-contaminated observations; and (2) the assumption of spatial 45 and structural uniformity at the Landsat (30 m) pixel scale.
    Keywords: Meteorology and Climatology
    Type: GSFC.JA.6123.2012
    Format: application/pdf
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  • 3
    Publication Date: 2019-07-13
    Description: No abstract available
    Keywords: Meteorology and Climatology
    Type: MSFC-E-DAA-TN63673 , American Geophysical Union (AGU) Fall Meeting; Dec 10, 2018 - Dec 14, 2018; Washington, DC; United States
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  • 4
    Publication Date: 2019-07-13
    Description: Large-scale deforestation and reforestation have contributed substantially to historical and contemporary global climate change in part through albedo-induced radiative forcing, with meaningful implications for forest management aiming to mitigate climate change. Associated warming or cooling varies widely across the globe due to a range of factors including forest type, snow cover, and insolation, but resulting geographic variation remain spoorly described and has been largely based on model assessments. This study provides an observation-based approach to quantify local and global radiative forcings from large-scale deforestation and reforestation and further examines mechanisms that result in the spatial heterogeneity of radiative forcing. We incorporate a new spatially and temporally explicit land cover-specific albedo product derived from Moderate Resolution Imaging Spectroradiometer with a historical land use data set (Land Use Harmonization product). Spatial variation in radiative forcing was attributed to four mechanisms, including the change in snow-covered albedo, change in snow-free albedo, snow cover fraction, and incoming solar radiation. We find an albedo-only radiative forcing (RF) of -0.819 W m(exp -2) if year 2000 forests were completely deforested and converted to croplands. Albedo RF from global reforestation of present-day croplands to recover year 1700 forests is estimated to be 0.161 W m)exp -2). Snow-cover fraction is identified as the primary factor in determining the spatial variation of radiative forcing in winter, while the magnitude of the change in snow-free albedo is the primary factor determining variations in summertime RF. Findings reinforce the notion that, for conifers at the snowier high latitudes, albedo RF diminishes the warming from forest loss and the cooling from forest gain more so than for other forest types, latitudes, and climate settings.
    Keywords: Meteorology and Climatology
    Type: GSFC-E-DAA-TN45898 , GSFC-E-DAA-TN56676 , Climatic Change (ISSN 0165-0009) (e-ISSN 1573-1480); 142; 4-Mar; 463–476
    Format: text
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  • 5
    Publication Date: 2019-12-24
    Description: No abstract available
    Keywords: Meteorology and Climatology
    Type: MSFC-E-DAA-TN76221 , Fall Meeting of the American Geophysical Union; Dec 09, 2019 - Dec 13, 2019; San Francisco, CA; United States
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  • 6
    Publication Date: 2019-07-13
    Description: MODIS 4 NACP is a NASA-funded project supporting the North American Carbon Program (NACP). The purpose of this Advancing Collaborative Connections for Earth-Sun System Science (ACCESS) project is to provide researchers with Moderate Resolution Imaging Spectroradiometer (MODIS) biophysical data products that are custom tailored for use in NACP model studies. Standard MODIS biophysical products provide used to improve our understanding on the climate and ecosystem changes. However, direct uses of the MODIS biophysical parameters are constrained by retrieval quality and cloud contamination. Another challenge that NACP users face is acquiring MODIS data in formats and at spatial-temporal resolutions consistent with other data sets they use. We have been working closely with key NACP users to tailor the MODIS products to fit their needs. First, we provide new temporally smoothed and spatially continuous MODIS biophysical data sets. Second, we are distributing MODIS data at suitable spatial-temporal resolutions and in formats consistent with other data integration into model studies.
    Keywords: Meteorology and Climatology
    Type: International Geoscience and Remote Sensing Symposium (IGARSS) ''07; Jul 23, 2007 - Jul 27, 2007; Barcelona; Spain
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