Inhibition of lncRNA KCNQ1OT1 Improves Apoptosis and Chemotherapy Drug Response in Small Cell Lung Cancer by TGF-β1 Mediated Epithelial-to-Mesenchymal Transition

Deyu Li,Qin Tong,Yuane Lian,Zhizhong Chen,Yaru Zhu,Weimei Huang,Yang Wen,Qiongyao Wang,Shumei Liang,Man Li,Jianjing Zheng,Zhenhua Liu,Huanxin Liu,Linlang Guo 대한암학회 2021 Cancer Research and Treatment Vol.53 No.4

Purpose Drug resistance is one of the main causes of chemotherapy failure in patients with small cell lung cancer (SCLC), and extensive biological studies into chemotherapy drug resistance are required. Materials and Methods In this study, we performed lncRNA microarray, in vitro functional assays, in vivo models and cDNA microarray to evaluate the impact of lncRNA in SCLC chemoresistance. Results The results showed that KCNQ1OT1 expression was upregulated in SCLC tissues and was a poor prognostic factor for patients with SCLC. Knockdown of KCNQ1OT1 inhibited cell proliferation, migration, chemoresistance and promoted apoptosis of SCLC cells. Mechanistic investigation showed that KCNQ1OT1 can activate transforming growth factor-β1 mediated epithelial-to-mesenchymal transition in SCLC cells. Conclusion Taken together, our study revealed the role of KCNQ1OT1 in the progression and chemoresistance of SCLC, and suggested KCNQ1OT1 as a potential diagnostic and prognostic biomarker in SCLC clinical management.

Effects of exploration and molecular mechanism of CsV on eNOS and vascular endothelial functions

Zuo, Deyu,Jiang, Heng,Yi, Shixiong,Fu, Yang,Xie, Lei,Peng, Qifeng,Liu, Pei,Zhou, Jie,Li, Xunjia Techno-Press 2022 Advances in nano research Vol.12 No.5

This study aimed to investigate the effects and potential mechanisms of Chikusetsusaponin V (CsV) on endothelial nitric oxide synthase (eNOS) and vascular endothelial cell functions. Different concentrations of CsV were added to animal models, bovine aorta endothelial cells (BAECs) and human umbilical vein endothelial cells (HUVECs) cultured in vitro. qPCR, Western blotting (WB), and B ultrasound were performed to explore the effects of CsV on mouse endothelial cell functions, vascular stiffness and cellular eNOS mRNA, protein expression and NO release. Bioinformatics analysis, network pharmacology, molecular docking and protein mass spectrometry analysis were conducted to jointly predict the upstream transcription factors of eNOS. Furthermore, pulldown and ChIP and dual luciferase assays were employed for subsequent verification. At the presence or absence of CsV stimulation, either overexpression or knockdown of purine rich element binding protein A (PURA) was conducted, and PCR assay was employed to detect PURA and eNOS mRNA expressions, Western blot was used to detect PURA and eNOS protein expressions, cell NO release and serum NO levels. Tube formation experiment was conducted to detect the tube forming capability of HUVECs cells. The animal vasodilation function test detected the vasodilation functions. Ultrasonic detection was performed to determine the mouse aortic arch pulse wave velocity to identify aortic stiffness. CsV stimulus on bovine aortic cells revealed that CsV could upregulate eNOS protein levels in vascular endothelial cells in a concentration and time dependent manner. The expression levels of eNOS mRNA and phosphorylation sites Ser1177, Ser633 and Thr495 increased significantly after CsV stimulation. Meanwhile, CsV could also enhance the tube forming capability of HUVECs cells. Following the mice were gavaged using CsV, the eNOS protein level of mouse aortic endothelial cells was upregulated in a concentration- and time-dependent manner, and serum NO release and vasodilation ability were simultaneously elevated whereas arterial stiffness was alleviated. The pulldown, ChIP and dual luciferase assays demonstrated that PURA could bind to the eNOS promoter and facilitate the transcription of eNOS. Under the conditions of presence or absence of CsV stimulation, overexpression or knockdown of PURA indicated that the effect of CsV on vascular endothelial function and eNOS was weakened following PURA gene silence, whereas overexpression of PURA gene could enhance the effect of CsV upregulating eNOS expression. CsV could promote NO release from endothelial cells by upregulating the expression of PURA/eNOS pathway, improve endothelial cell functions, enhance vasodilation capability, and alleviate vessel stiffness. The present study plays a role in offering a theoretical basis for the development and application of CsV in vascular function improvement, and it also provides a more comprehensive understanding of the pharmacodynamics of CsV.

Mapping QTLs for Tissue Culture Response in Soybean (Glycine max (L.) Merr.)

Chao Yang,Tuanjie Zhao,Deyue Yu,Junyi Gai 한국분자세포생물학회 2011 Molecules and cells Vol.32 No.4

Quantitative trait loci (QTLs) that control the tissue cul-ture response in soybean were detected by using 184 recombinant inbred lines (RILs) derived from two varieties: Kefeng No.1 and Nannong 1138-2. The molecular map consisting of 834 molecular markers using this population covered space 2307.83 cM of the genome throughout 24 linkage groups. The performance of tissue culture in soybean was evaluated by two indices: callus induction frequency (CIF) and somatic embryos initiation frequency (SEIF). They were expressed as the number of explants producing callus/ the number of total explants and the number of explants producing somatic embryos/ the number of total explants, respectively. The RIL lines showed continuous segregation for both indices. With the composite interval mapping (CIM) described in Windows QTL Cartographer Version 2.5, three quantitative trait loci (QTLs) were identified for the frequency of callus induction, on chromosomes B2 and D2, accounting for phenotypic variation from 5.84% to 16.60%; four QTLs on chromo-some G were detected for the frequency of somatic em-bryos initiation and explained the phenotypic variation from 7.79% to 14.16%. The information of new QTLs identified in the present study will contribute to genetic improvement of regeneration traits with marker-assisted selection (MAS) in soybean.

A Novel Transfer Learning-Based Algorithm for Detecting Violence Images

Yuyan Meng,Deyu Yuan,Shaofan Su,Yang Ming 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.6

Violence in the Internet era poses a new challenge to the current counter-riot work, and according to research and analysis, most of the violent incidents occurring are related to the dissemination of violence images. The use of the popular deep learning neural network to automatically analyze the massive amount of images on the Internet has become one of the important tools in the current counter-violence work. This paper focuses on the use of transfer learning techniques and the introduction of an attention mechanism to the residual network (ResNet) model for the classification and identification of violence images. Firstly, the feature elements of the violence images are identified and a targeted dataset is constructed; secondly, due to the small number of positive samples of violence images, pre-training and attention mechanisms are introduced to suggest improvements to the traditional residual network; finally, the improved model is trained and tested on the constructed dedicated dataset. The research results show that the improved network model can quickly and accurately identify violence images with an average accuracy rate of 92.20%, thus effectively reducing the cost of manual identification and providing decision support for combating rebel organization activities.

Cloning and functional analysis of two GmDeg genes in soybean [Glycine max (L.) Merr.]

Xing Kong,Jingyao Zhang,Deyue Yu,Jun-Yi Gai,Shouping Yang 한국식물학회 2017 Journal of Plant Biology Vol.60 No.1

Although light is the ultimate substrate in photosynthesis, strong light can also be harmful and lead to photoinhibition. The DEG proteases play important roles in the degradation of misfolded and damaged proteins. In this study, two photoinhibition-related genes from soybean [Glycine max (L.) Merr.], GmDeg1 and GmDeg2, were cloned. Bioinformatics analysis indicated that these two proteases both contain a PDZ domain and are serine proteases. The expression levels of GmDeg1 and GmDeg2 increased significantly after 12 h of photooxidation treatment, indicating that GmDeg1 and GmDeg2 might play protective roles under strong light conditions. In in vitro proteolytic degradation assays, recombinant GmDeg1 and GmDeg2 demonstrated biological activities at temperatures ranging from 20°C to 60°C and at pH 5.0 to 8.0. By contrast, the proteases showed no proteolytic effect in the presence of a serine protease inhibitor. Taken together, these results provided strong evidence that GmDeg1 and GmDeg2 are serine proteases that could degrade the model substrate in vitro, indicating that they might degrade damaged D1 protein and other mis-folded proteins in vivo. Furthermore, GmDeg1 and GmDeg2 were transformed into Arabidopsis thaliana to obtain transgenic plants. Leaves from the transgenic and wild-type plants were subjected to strong light conditions in vitro, and the PSII photochemical efficiency (Fv/Fm) was measured. The Fv/Fm of the transgenic plants was significantly higher than that of the wild-type plants at most time points. These results imply that GmDeg1 and GmDeg2 would have similar functions to Arabidopsis AtDeg1, thus accelerating the recovery of PSII photochemical efficiency.

A rapid and quantitative fluorescent microsphere immunochromatographic strip test for detection of antibodies to porcine reproductive and respiratory syndrome virus

Yanqiu Wei,Baozhi Yang,Yunlong Li,Yongcheng Duan,Deyu Tian,Baoxiang He,Chuangfu Chen,Wenjun Liu,Limin Yang 대한수의학회 2020 Journal of Veterinary Science Vol.21 No.4

A fluorescent microsphere-based immunochromatographic strip test (FICT) was developed for the rapid, sensitive, and quantitative detection of porcine reproductive and respiratory syndrome virus (PRRSV) antibodies at the pen-side. The assay was based on the formation of a sandwich immune-complex (anti-pig IgG-PRRSV antibodies-NSP7/N), which was validated by a comparison with IDEXX-ELISA using 3325 clinical specimens. The diagnostic specificity, sensitivity, and accuracy of FICT were 97.28, 93.41, and 94.95%, respectively. FICT showed a good correlation with the virus neutralization assay. Overall, a promising pen-side diagnostic tool was developed for the rapid and quantitative detection of PRRSV antibodies within 15 min.

Study of injection molding process simulation and mold design of automotive back door panel

Huiwen Mao,Youmin Wang,Deyu Yang 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.5

Numerical simulation of the injection molding process of the outer panel of the automotive plastic rear door and mold design is presented here. Computer aided threedimensional interactive application (CATIA) is employed to design the original automotive steel structure, and the modal and thermodynamic properties of the plastic back door outer panel are changed by changing the different injection materials of the back door outer panel. In order to efficiently design the panels, finite element analysis is used to verify whether the designed parts meet the mechanical properties requirements such as light weight, low fuel consumption, short production cycle, strong modeling design, high corrosion resistance and good recovery, the above main parameters have been evaluated, and the above main parameters are carried out evaluate. To simulate the injection molding process, computer aided engineering (CAE) software such as ANSYS and HyperWorks are used to analyze the back door of the selected material. After the numerical analysis, suitable material is selected, so that the modal and thermodynamic properties of the product could be satisfied as well as improved. Unigraphics NX (UG) is employed to design the convex and concave mold for the injection molding of the automobile’s plastic back door panel. Combined with the characteristics of the parts and the design requirements of the injection mold, the multi-scheme design of the pouring and cooling system is carried out. By comparing the effects of different gating and cooling systems on injection molding, the best gating and cooling system is selected. The artificial fish swarm algorithm is used to optimize the process parameters of the injection molding process, and the best combination of the injection molding process parameters of the outer panel of the rear door of the automobile is obtained.