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- 저자 : Yue Zeng-lei (검색결과 4 건)
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Ionic liquid extraction of silkworm pupa protein and its biological characteristics
Zeng Qing-Lei,Zhang Ning,Zhang Yue-Yue,Xin Xiang-Dong,Attaribo Thomas,Shao Ying,Tang Liu-Mei,Zhang Ran,이광식,진병래,Gui Zhongzheng 한국응용곤충학회 2021 Journal of Asia-Pacific Entomology Vol.24 No.1
Silkworm (Bombyx mori) pupa protein (SPP) is a high-quality source of animal protein with substantial nutri tional benefits and health value. To develop an efficient extraction method for SPP that is environmentally friendly, we selected choline hydroxide ionic liquid (CH-IL) as the extraction solvent and performed orthogonal experiments to optimize the extraction conditions. We demonstrated that 3% CH-IL, a solid-to-liquid ratio (g/mL) of 1:30, an extraction temperature of 40 ◦ C, and an extraction time of 1 h facilitated the most efficient extraction. Compared to the conventional alkali solubilization–acid precipitation method, the CH-IL extraction increased protein content by 12.14%. Protein structure analysis showed that the β-sheet content increased by 10.98% and that of disulfide bonds reduced by 16.4%. The processing properties of the CH-IL extracted protein showed that the solubility, emulsification, and foaming capacity were enhanced by 82.87%, 15.44%, and 18.97%, respec tively. The physical properties of SPP remarkably improved relative to the increased stretching of the poly peptide chains. The findings of this study provide technical knowledge that will enhance the processing performance of pupal proteins.
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Fanli Zeng,Yanyan Tian,Shuliang Shi,Qiong Wu,Shanshan Liu,Hongxia Zheng,Lei Yue,Yu Li 한국분자세포생물학회 2011 Molecules and cells Vol.31 No.3
MARVEL domain-containing 1 (MARVELD1) is a newly identified nuclear protein; however its function has not been clear until now. Here, we report that mouse MARVELD1(mMARVELD1), which is highly conserved between mice and humans, exhibits cell cycle-dependent cellular localization. In NIH3T3 cells, MARVELD1 was observed in the nucleus and at the perinuclear region during interphase,but was localized at the mitotic spindle and midbody at metaphase, and a significant fraction of mMARVELD1translocated to the plasma membrane during anaphase. In addition, treatment of cells with colchicine, a microtubuledepolymerizing agent, resulted in translocation of mMARVELD1to the plasma membrane, and association of mMARVELD1 and α-tubulin was confirmed by co-immunoprecipitation. Finally, overexpression of mMARVELD1 resulted in a remarkable inhibition of cell proliferation, G1-phase arrest, and reduced cell migration. These findings indicate that mMARVELD1 is a microtubule-associated protein that plays an important role in cell cycle progression and migration.
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Predicting Non Performing Loan of Business Bank with Data Mining Techniques
Wan Jie,Yue Zeng-lei,Yang Dong-hui,ZhangYu,Liu Jiao,Liu Zhi,Liu Jinfu 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.12
The non-performing loans (NPL) prediction plays an important role in business bank. However, there is still a large gap between the requirement of prediction performance and current techniques. In this paper data mining approaches is used to predict the NPL. Both macroeconomic and bank-specific variables are collected to form the feature set firstly. Based on selected features, the study firstly applies single basic classifiers such as decision tree, k nearest neighbors and support vector machine (SVM) to model the problem of NPL. Bagging and AdaBoost are described in this paper as two different method of multiple classifier fusion, to build prediction models. In this experiment, non-performing loans data with 96 features and 10415 instances of a business bank is collected. F-mean and The Area under the ROC Curve (AUC) are considered as metrics of classification. The results illustrate that multiple classifier fusion algorithms outperform single basic classifier. The model built by multiple classifiers fusion can produce better prediction results. Furthermore, the AdaBoost method performs much better than bagging method in processing NPL.
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Possible Epithelial Ovarian Cancer Association with HPV18 or HPV33 Infection
Zhang, Pei-Pei,Zhou, Lei,Cao, Jia-Shi,Li, Yi-Ping,Zeng, Zhi,Sun, Ni,Shen, Li,Zhu, Hao-Yue,Ruan, Yang,Zha, Wen-Ting,Wang, Xin-Yu,Zhang, Ke-Qiang,Zhang, Ran Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.6
The present study was conducted to investigate the prevalence of HPV infection in epithelial ovarian cancer (EOC) in Hunan province. DNA samples were collected from paraffin embedded ovarian tissue from 322 patients with EOC, 99 with ovarian benign tumors and 199 normal persons. The polymerase chain reaction and direct sequencing were used to identify the HPV types in the samples. The relationship between the infection of human papillomavirus (HPV) and the epithelial ovarian carcinoma (EOC) was investigated combined with clinical data. The prevalence of HPV18 and HPV33 in EOC group and benign group was higher than in the normal group. HPV18 and HPV33 may play a role in the development of both EOC and ovarian benign tumor and may participate in the development of EOC with traditional risk factors, family history and abortion, possibly exerting synergistic effects.
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