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Characterization of a novel variant HMW‐glutenin gene from Elymus canadensis
Qian‐Tao Jiang,Yu‐Ming Wei,Tao Liu,Ji‐Rui Wang,Zhi‐En Pu,Xiu‐Jin Lan,You‐Liang Zheng,Zhen‐Xiang Lu 한국유전학회 2010 Genes & Genomics Vol.32 No.4
High molecular weight (HMW) glutenin subunits (GS) play a key role in the determination of end‐use quality of wheat and other cereal crops. In this study, we report the isolation and characterization of both promoter region and ORF of novel HMW‐GS allele 1St1.3 from a perennial Triticeae species,Elymus canadensis. The amino acid (AA) sequences of E. canadensis 1St1.3 were deduced as 434 aa. Its protein primary structure comprises a signal peptide with a conserved N‐terminal domain, a central repetitive domain and a C‐terminal domain. E. canadensis 1St 1.3 possesses several distinct characteristics which are different from those of wheat HMW‐GSs. The N‐terminal domains of E. canadensis 1St 1.3 resemble that of y‐type subunits, while their C‐terminal domains are more similar to x‐type subunits. The deletion of 85 bp fragment has been observed in promoter region of 1St 1.3, however which has not interrupted the expression of this gene. Our results indicate that 1St 1.3 is novel HMW‐GS variants which will be valuable for enhancing our understanding of structural differentiation and the evolutionary relationship among HMW‐GSs in Triticeae species.
Isolation and Characterization of Collagen from Skin of Bullfrog, Rana catesbeiana Shaw
Qian, Zhong-Ji,Jung, Won-Kyo,Ngo, Nghiep Dai,Lee, Sang-Hoon,Kim, Se-Kwon The Korean Society of Fisheries and Aquatic Scienc 2007 Fisheries and Aquatic Sciences Vol.10 No.2
In order to utilize skin of bullfrog (Rana catesbeiana Shaw) as an alternative source of collagen, we investigated and compared biochemical and physical properties of collagens isolated from bullfrog skin. Two kinds of collagen (BSASC; bullfrog skin acid-soluble collagen and BSPSC; bullfrog skin pepsin-solubilized collagen) were isolated by subsequent treatments with acetic acid and pepsin. The amounts of skin collagen isolated in the subsequent treatments were 7.3% BSASC and 18.2% BSPSC on the basis of lyophilized bullfrog skin weight, respectively. According to the electrophoretic pattern and CM-cellulose column chromatogram, the BSASC has the chain composition of ${\alpha}1{\alpha}2{\alpha}3$ heterotrimer, and the BSPSC consists of two ${\alpha}$ chains of ${\alpha}1{\alpha}2$. In addition, the denaturation temperatures of all collagens tested were ranged from $30^{\circ}C\;to\;38^{\circ}C$. This study suggests that there is a possibility to use bullfrog skin collagen as an alternative source of collagen for industrial purposes, and subsequently it may increase the economical value of the bullfrog.
KNN-based Image Annotation by Collectively Mining Visual and Semantic Similarities
( Qian Ji ),( Liyan Zhang ),( Zechao Li ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.9
The aim of image annotation is to determine labels that can accurately describe the semantic information of images. Many approaches have been proposed to automate the image annotation task while achieving good performance. However, in most cases, the semantic similarities of images are ignored. Towards this end, we propose a novel Visual-Semantic Nearest Neighbor (VS-KNN) method by collectively exploring visual and semantic similarities for image annotation. First, for each label, visual nearest neighbors of a given test image are constructed from training images associated with this label. Second, each neighboring subset is determined by mining the semantic similarity and the visual similarity. Finally, the relevance between the images and labels is determined based on maximum a posteriori estimation. Extensive experiments were conducted using three widely used image datasets. The experimental results show the effectiveness of the proposed method in comparison with state-of-the-arts methods.
Protective role of caffeic acid in an Aβ25-35-induced Alzheimer’s disease model
Ji Hyun Kim,Qian Wang,Ji Myung Choi,Sanghyun Lee,Eun Ju Cho 한국영양학회 2015 Nutrition Research and Practice Vol.9 No.5
BACKGROUND/OBJECTIVES: Alzheimer’s disease (AD) is characterized by deficits in memory and cognitive functions. The accumulation of amyloid beta peptide (Aβ) and oxidative stress in the brain are the most common causes of AD. MATERIALS/METHODS: Caffeic acid (CA) is an active phenolic compound that has a variety of pharmacological actions. We studied the protective abilities of CA in an Aβ25-35-injected AD mouse model. CA was administered at an oral dose of 10 or 50 ㎎/㎏/day for 2 weeks. Behavioral tests including T-maze, object recognition, and Morris water maze were carried out to assess cognitive abilities. In addition, lipid peroxidation and nitric oxide (NO) production in the brain were measured to investigate the protective effect of CA in oxidative stress. RESULTS: In the T-maze and object recognition tests, novel route awareness and novel object recognition were improved by oral administration of CA compared with the Aβ25-35-injected control group. These results indicate that administration of CA improved spatial cognitive and memory functions. The Morris water maze test showed that memory function was enhanced by administration of CA. In addition, CA inhibited lipid peroxidation and NO formation in the liver, kidney, and brain compared with the Aβ25-35-injected control group. In particular, CA 50 ㎎/㎏/day showed the stronger protective effect from cognitive impairment than CA 10 ㎎/㎏/day. CONCLUSIONS: The present results suggest that CA improves Aβ25-35-induced memory deficits and cognitive impairment through inhibition of lipid peroxidation and NO production.