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  • 1
    Publication Date: 1990-03-23
    Description: RNA and DNA expression vectors containing genes for chloramphenicol acetyltransferase, luciferase, and beta-galactosidase were separately injected into mouse skeletal muscle in vivo. Protein expression was readily detected in all cases, and no special delivery system was required for these effects. The extent of expression from both the RNA and DNA constructs was comparable to that obtained from fibroblasts transfected in vitro under optimal conditions. In situ cytochemical staining for beta-galactosidase activity was localized to muscle cells following injection of the beta-galactosidase DNA vector. After injection of the DNA luciferase expression vector, luciferase activity was present in the muscle for at least 2 months.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wolff, J A -- Malone, R W -- Williams, P -- Chong, W -- Acsadi, G -- Jani, A -- Felgner, P L -- HD00669-05/HD/NICHD NIH HHS/ -- HD03352/HD/NICHD NIH HHS/ -- New York, N.Y. -- Science. 1990 Mar 23;247(4949 Pt 1):1465-8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pediatrics, Waisman Center, University of Wisconsin, Madison 53706.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/1690918" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Avian Sarcoma Viruses/genetics ; Beetles/genetics ; Chloramphenicol O-Acetyltransferase/biosynthesis/genetics ; DNA/genetics ; Escherichia coli/genetics ; *Gene Expression ; Genetic Vectors ; Histocytochemistry ; Luciferases/biosynthesis/genetics ; Mice ; Muscles/*enzymology ; RNA/genetics ; *Transfection ; beta-Galactosidase/biosynthesis/genetics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2019
    Description: An important but rarely studied aspect of crop modeling is the uncertainty associated with model calibration and its effect on model prediction. Biomass and grain yield data from a four-year maize experiment (2008–2011) with six irrigation treatments were divided into subsets by either treatments (Calibration-by-Treatment) or years (Calibration-by-Year). These subsets were then used to calibrate crop cultivar parameters in CERES (Crop Environment Resource Synthesis)-Maize implemented within RZWQM2 (Root Zone Water Quality Model 2) using the automatic Parameter ESTimation (PEST) algorithm to explore model calibration uncertainties. After calibration for each subset, PEST also generated 300 cultivar parameter sets by assuming a normal distribution of each parameter within their reported values in the literature, using the Latin hypercube sampling (LHS) method. The parameter sets that produced similar goodness of fit (11–164 depending on subset used for calibration) were then used to predict all the treatments and years of the entire dataset. Our results showed that the selection of calibration datasets greatly affected the calibrated crop parameters and their uncertainty, as well as prediction uncertainty of grain yield and biomass. The high variability in model prediction of grain yield and biomass among the six (Calibration-by-Treatment) or the four (Calibration-by-Year) scenarios indicated that parameter uncertainty should be considered in calibrating CERES-Maize with grain yield and biomass data from different irrigation treatments, and model predictions should be provided with confidence intervals.
    Electronic ISSN: 2073-4395
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
    Published by MDPI
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