• Molecules and Cells
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• 제20권2호
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• pp.247-255
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• 2005

Three different catalase cDNA clones (CaCat1, CaCat2, and CaCat3) were isolated from hot pepper (Capsicum annuum L.), and their expression patterns were analyzed at the levels of mRNA and enzyme activity. Northern hybridization showed that the three catalase genes were differentially expressed in various organs, and that expression of CaCat1 and CaCat2 was regulated differently by the circadian rhythm. In situ hybridization revealed different spatial distributions of CaCat1 and CaCat2 transcripts in leaf and stem. In response to wounding and paraquat treatment, CaCat1 mRNA increased at 4-12 h in both paraquat-treated and systemic leaves. In contrast, wounding had no significant effect on expression of the catalase genes. The increase of catalase activity in the paraquat-treated and systemic leaves paralleled that of CaCat1 mRNA, but did not match that of CaCat1 mRNA in paraquat-treated stems. Our results suggest that CaCat1 may play a role in responses to environmental stresses.

• Structural Engineering and Mechanics
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• 제31권2호
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• pp.225-235
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• 2009

The present paper reviews the shear design (of reinforced concrete beam) provisions of four different national codes and proposes a new but simplified shear strength empirical expression, incorporating variables such as compressive strength of concrete, percentage of longitudinal and vertical steel/s, depth of beam in terms of shear span-to-depth ratio, for reinforced concrete (RC) beams without shear reinforcement. The expression is based on the experimental investigation on RC beams without shear reinforcement. Further, the comparisons of shear design provisions of four National codes viz.: (i) IS 456-2000, (iii) BS 8110-1997, (iv) ACI 318-2002 (v) EuroCode-2-2002 and the proposed expression for the prediction of shear capacity of normal beam/s, have been made by solving a numerical example. The results of the numerical example worked out suggest that there is need for revision in the shear design procedure of different codes. Also, the proposed expression is less conservative among the IS, BS & Eurocode.

• 한국발생생물학회지:발생과생식
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• 제23권2호
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• pp.149-160
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• 2019

This study examined the effects of different photoperiod conditions on olive flounder (Paralichthys olivaceus), a commercially important species in Korea. Daily variations in the expression of mRNA for the growth-related genes arylalkylamine N-acetyltransferase2 (AANAT2), preprosomatostatin1 (PSS1), and growth hormone (GH) were examined under a 12 h light:12 h dark photoperiod. All the genes were expressed at higher level during the dark period. Melatonin injections increased the expression of GH, but did not significantly affect the expression of PSS. Under short-day conditions (10 h:14 h), the fish gained more weight than under long-day conditions (14 h:10 h). A long nighttime induced melatonin secretion and increased the expression of GH mRNA, promoting weight gain in this species. Therefore, we thought that the long day condition in raising olive flounder may be effective in inducing body growth.

• International Journal of Industrial Entomology and Biomaterials
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• 제45권2호
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• pp.78-83
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• 2022

There are several subspecies of Bombyx mori, whose silk sericin variants differ. Silk sericin can induce bone morphogenic protein-2 (BMP-2) in macrophages, and silk sericin from different species may have different levels of BMP-2 induction ability. In this study, silk sericin from three B. mori subspecies (Baegokjam, Yeonnokjam, and Goldensilk) was prepared. They were administered to RAW264.7 cells and BMP-2 expression level was studied. Bone regeneration was evaluated using a rat calvarial defect model. BMP-2 expression level was the highest in the Baegokjam group. The bone volume in the Baegokjam group was significantly higher than that in the Yeonnokjam group (P = 0.003). In conclusion, sericin from Baegokjam showed higher levels of BMP-2 expression and bone regeneration than those from Yeonnokjam and Goldensilk.

• IMMUNE NETWORK
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• 제6권3호
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• pp.138-144
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• 2006

Background: There are at least two different subsets of B cells, B-1 and B-2. The characteristic features and function of B-2 cells in addition to the effect of steroids on B-2 cells are well-known. Although B-1 cells have different features and functions from B-2 cells, the effect of steroids on B-1 cells is not completely understood. Therefore, this study examined the effects of dexamethasone on peritoneal (or B-1 cells) and splenic B cells (or B-2 cells). Methods: Purified B cells were obtained from the peritoneal fluid and the spleens of mice. The isolated B cells were cultured in a medium and after adding different concentrations of dexamaethasone. The cell survival rate was measured by flow cytometry using propidium iodide. The expression level of the B cell surface marker was analyzed by flow cytometry. During the culture of these cells, immunoglobulin secreted into the culture supernatants was evaluated by an enzyme-linked immunosorbent assay. Results: The survival rate of peritoneal and splenic B cells decreased with increasing dexamethasone concentration. However, the rate of peritofieal B cell apoptosis was lower than that of splenic B cells. CDS and B7.1 expression in peritoneal B cells and CD23 and sIgM expression in splenic B cells after the dexamethasone treatment were reduced. When B cells were treated with dexamethasone, the spontaneous IgM secretion decreased with increasing dexamethasone concentration. Conclusion: Dexamethasone induces apoptosis in peritoneal and splenic B cells. However, peritoneal B cells are less sensitive to dexamethasone. The dexamethasone suppressed expression of the surface markers in peritoneal B cells is different from those in splenic B cells.

• Journal of Ginseng Research
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• 제44권5호
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• pp.747-755
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• 2020

Background: Ginsenosides accumulation responses to temperature are critical to quality formation in cold-dependent American ginseng. However, the studies on cold requirement mechanism relevant to ginsenosides have been limited in this species. Methods: Two experiments were carried out: one was a multivariate linear regression analysis between the ginsenosides accumulation and the environmental conditions of American ginseng from different sites of China and the other was a synchronous determination of ginsenosides accumulation, overall DNA methylation, and relative gene expression in different tissues during different developmental stages of American ginseng after experiencing different cold exposure duration treatments. Results: Results showed that the variation of the contents as well as the yields of total and individual ginsenosides Rg1, Re, and Rb1 in the roots were closely associated with environmental temperature conditions which implied that the cold environment plays a decisive role in the ginsenoside accumulation of American ginseng. Further results showed that there is a cyclically reversible dynamism between methylation and demethylation of DNA in the perennial American ginseng in response to temperature seasonality. And sufficient cold exposure duration in winter caused sufficient DNA demethylation in tender leaves in early spring and then accompanied the high expression of flowering gene PqFT in flowering stages and ginsenosides biosynthesis gene PqDDS in green berry stages successively, and finally, maximum ginsenosides accumulation occurred in the roots of American ginseng. Conclusion: We, therefore, hypothesized that cold-induced DNA methylation changes might regulate relative gene expression involving both plant development and plant secondary metabolites in such cold-dependent perennial plant species.

• Asian-Australasian Journal of Animal Sciences
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• 제21권7호
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• pp.967-971
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• 2008

We compared the fatty acid composition of adipose tissues prepared from Korean native and Yorkshire pigs that have different characteristics in growth and fat deposition. There was no significant difference in the content of most fatty acids between the two breeds, with the exception of arachidonic acid and cis-11,14,17-eicosatrienoic acid. We also investigated the transcriptional levels of genes encoding three different types of oxygenases, including cytochrome P450 (CYP), lipoxygenase and cyclooxygenase, which metabolize arachidonic acid. We found a significant difference in the expression of the CYP genes, CYP2A13, CYP2U1 and CYP3A4, but no differences for the latter two genes between the two breeds. Our results suggest that the difference in arachidonic acid content between the two breeds was caused by differential expression of the CYP genes. Eventually, different levels of EETs and HETEs produced from arachidonic acid by the activity of CYP might contribute partly to the difference of fatness between the two breeds.

• Nuclear Engineering and Technology
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• 제54권8호
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• pp.3027-3033
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• 2022

Background: In this study, various types of deep-learning models for predicting in vitro radiosensitivity from gene-expression profiling were compared. Methods: The clonogenic surviving fractions at 2 Gy from previous publications and microarray gene-expression data from the National Cancer Institute-60 cell lines were used to measure the radiosensitivity. Seven different prediction models including three distinct multi-layered perceptrons (MLP), four different convolutional neural networks (CNN) were compared. Folded cross-validation was applied to train and evaluate model performance. The criteria for correct prediction were absolute error < 0.02 or relative error < 10%. The models were compared in terms of prediction accuracy, training time per epoch, training fluctuations, and required calculation resources. Results: The strength of MLP-based models was their fast initial convergence and short training time per epoch. They represented significantly different prediction accuracy depending on the model configuration. The CNN-based models showed relatively high prediction accuracy, low training fluctuations, and a relatively small increase in the memory requirement as the model deepens. Conclusion: Our findings suggest that a CNN-based model with moderate depth would be appropriate when the prediction accuracy is important, and a shallow MLP-based model can be recommended when either the training resources or time are limited.

• 한국환경과학회지
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• 제32권12호
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• pp.979-985
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• 2023

After the outbreak of COVID-19, the demand for home-enjoyable video games has surged, driven by extended pandemic conditions and resulting in rapid graphic technology advancements. Consequently, games with diverse expression techniques have emerged, captivating players. Virtual Reality (VR) environments predominantly feature natural landscapes, with advancing graphic technology enabling lifelike scenes. The rise in individuals seeking solace through natural elements in games has followed suit. As VR technology and metaverse interest grow, more people are exposed to digital imagery. However, evidence on the influence of graphic expression methods on emotional response to that is lacking. Our study examined user emotional responses, focusing on natural landscapes in digital graphics of games. Analyzing a group of 47 young adults as frequent digital media consumers, we studied reactions to different image styles (Realism, Semi-Realism, Stylized). In the analysis, Realism-style images were perceived the most positively, while emotional responses to natural landscapes with different graphical expressions showed no significant differences. Results suggest that recognizing digital natural landscapes may outweigh expression style impacting the evaluation of digital nature. This study's empirical analysis enhances the understanding of digital nature's application to actual situations.

• International Journal of Advanced Culture Technology
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• 제12권2호
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• pp.375-385
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• 2024

In the context of contemporary digital media, virtual influencers have become an increasingly important form of socialization and entertainment, in which emotional expression is a key factor in attracting viewers. In this study, we take Luo Tianyi, a Chinese virtual influencer, as an example to explore how emotions are expressed and perceived through facial expressions in different types of videos. Using Paul Ekman's Facial Action Coding System (FACS) and six basic emotion classifications, the study systematically analyzes Luo Tianyi's emotional expressions in three types of videos, namely Music show, Festivals and Brand Cooperation. During the study, Luo Tianyi's facial expressions and emotional expressions were analyzed through rigorous coding and categorization, as well as matching the context of the video content. The results show that Enjoyment is the most frequently expressed emotion by Luo Tianyi, reflecting the centrality of positive emotions in content creation. Meanwhile, the presence of other emotion types reveals the virtual influencer's efforts to create emotionally rich and authentic experiences. The frequency and variety of emotions expressed in different video genres indicate Luo Tianyi's diverse strategies for communicating and connecting with viewers in different contexts. The study provides an empirical basis for understanding and utilizing virtual influencers' emotional expressions, and offers valuable insights for digital media content creators to design emotional expression strategies. Overall, this study is valuable for understanding the complexity of virtual influencer emotional expression and its importance in digital media strategy.