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Eukaryotic cells do not normally initiate mitosis when DNA replication is blocked. This cell cycle checkpoint can be bypassed in some cells, however, by treatment with caffeine and certain other chemicals. Although S-phase arrested hamster cells undergo mitosis-specific events such as premature chromosome condensation (PCC) and nuclear envelope disassembly when exposed to caffeine, human cells show little response under the same conditions. To further investigate the molecular basis of this cell type specificity, a panel of hamster/human whole cell hybrids was created. The frequency of caffeine-induced PCC and the level of cyclin B-associated H1 kinase activity in the various hybrids were directly correlated with the extent of cyclin B synthesis during S-phase arrest. To determine whether expression of cyclin B alone could sensitize human cells to caffeine, cyclin B1 was transiently overexpressed in S-phase arrested HT1080 cells. The transfected cell population displayed a 5-fold increase in the frequency of caffeine-induced PCC when compared with normal HT1080 cells, roughly equivalent to the frequency of cells expressing exogenous epitope-tagged cyclin B1. In addition, immunofluorescent microscopy showed that individual cells overexpressing cyclin B1 during S phase arrest underwent PCC when exposed to caffeine. These results provide direct evidence that premature expression of cyclin B1 can make cells more vulnerable to chemically-induced uncoupling of mitosis from the completion of DNA replication. © 1995 Wiley-Liss, Inc.  相似文献   
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Summary Influence of a homogeneous magnetic field on catalytic rate is proposed as a tool for the investigation of enzyme association. Investigations were initiated with studies of the effect of a 1.4 T homogeneous magnetic field on trypsin activity at 36.5° C and pH 3.3, 5.3, and 7.2, respectively. Periods of exposure were applied up to 2–7 h. No detectable change of activity was observed in any of the exposed systems when they were compared with the identical but unexposed ones.  相似文献   
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Alteration of the gut microbiota plays an important role in animal health and metabolic diseases. However, little is known with respect to the influence of environmental osmolality on the gut microbial community. The aim of the current study was to determine whether the reduction in salinity affects the gut microbiota and identify its potential role in salinity acclimation. Using Oryzias melastigma as a model organism to perform progressive hypotonic transfer experiments, we evaluated three conditions: seawater control (SW), SW to 50% sea water transfer (SFW) and SW to SFW to freshwater transfer (FW). Our results showed that the SFW and FW transfer groups contained higher operational taxonomic unit microbiota diversities. The dominant bacteria in all conditions constituted the phylum Proteobacteria, with the majority in the SW and SFW transfer gut comprising Vibrio at the genus level, whereas this population was replaced by Pseudomonas in the FW transfer gut. Furthermore, our data revealed that the FW transfer gut microbiota exhibited a reduced renin–angiotensin system, which is important in SW acclimation. In addition, induced detoxification and immune mechanisms were found in the FW transfer gut microbiota. The shift of the bacteria community in different osmolality environments indicated possible roles of bacteria in facilitating host acclimation.  相似文献   
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Life cycle assessment (LCA) and environmentally extended input–output analyses (EEIOA) are two techniques commonly used to assess environmental impacts of an activity/product. Their strengths and weaknesses are complementary, and they are thus regularly combined to obtain hybrid LCAs. A number of approaches in hybrid LCA exist, which leads to different results. One of the differences is the method used to ensure that mixed LCA and EEIOA data do not overlap, which is referred to as correction for double counting. This aspect of hybrid LCA is often ignored in reports of hybrid assessments and no comprehensive study has been carried out on it. This article strives to list, compare, and analyze the different existing methods for the correction of double counting. We first harmonize the definitions of the existing correction methods and express them in a common notation, before introducing a streamlined variant. We then compare their respective assumptions and limitations. We discuss the loss of specific information regarding the studied activity/product and the loss of coherent financial representation caused by some of the correction methods. This analysis clarifies which techniques are most applicable to different tasks, from hybridizing individual LCA processes to integrating complete databases. We finally conclude by giving recommendations for future hybrid analyses.  相似文献   
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