Somatic embryos cultures of Vitis amurensis Rupr. in air-lift bioreactors for the production of biomass and resveratrol

Dan Sun,Changyu Li,Hongyan Qin,Qingtian Zhang,Yiming Yang,Jun Ai 한국식물학회 2016 Journal of Plant Biology Vol.59 No.5

Resveratrol are the most important bioactive compounds found in Vitis amurensis. In this study, a somatic embryo induction system for V. amurensis was established in air-lift bioreactors for the production of biomass and resveratrol. The somatic embryos biomass growth was low on solid medium (69.60 g L−1) compared to in liquid medium in bioreactor (329.45 g L−1). Bioreactor cultures were found to be superior compared with solid medium culture not only in terms of biomass but also resveratrol productivity. Various culture parameters, including culture method, inoculum density, carbon source, and organic compounds were optimized. An inoculum density of 20 g L−1 embryogenic calli was found suitable for the accumulation of biomass and resveratrol production, whereas 10 g L−1 embryogenic calli increased the amount of resveratrol per fresh weight in somatic embryos. For bioreactor culturing, sucrose was an optimum carbon source and 500 mg L–1 casein hydrolysate acid was conducive to the biomass and resveratrol production. This result indicates that an efficient protocol for the large-scale production of resveratrol can be achieved by bioreactor culturing of V. amurensis somatic embryos and can be used as a source of medicinal raw materials.

Prognostic Perspectives of STING and PD-L1 Expression and Correlation with the Prognosis of Epstein-Barr Virus-Associated Gastric Cancers

( Qi Sun ),( Yao Fu ),( Xiaobing Chen ),( Lin Li ),( Hongyan Wu ),( Yixuan Liu ),( Haojun Xu ),( Guoren Zhou ),( Xiangshan Fan ),( Hongping Xia ) 대한소화기기능성질환·운동학회 2022 Gut and Liver Vol.16 No.6

Background/Aims: Epstein-Barr virus-associated gastric cancers (EBVaGCs) have unique molecular and clinicopathological characteristics. The cyclic GMP-AMP synthase-stimulator of interferon genes (STING) pathway is recently recognized as the critical innate immunity against pathogens and tumors. STING is also a master regulator in the cancer-immunity cycle and targeting STING could synergize with existing immune-checkpoint therapies. However, the role of STING in GC, especially in EBVaGC, and its correlation with programmed death-ligand 1 (PD-L1) remain largely unclear. Methods: We collected 78 cases of EBVaGCs and 210 cases of EBV-negative GC (EBVnGC) from a total of 1,443 cases of GC analyzed by EBV-encoded small RNA in situ hybridization. We investigated STING and PD-L1 expression and their concomitant prognostic value in EBVaGCs and EBVnGCs using tissue microarray and immunohistochemistry. The effects of STING and PD-L1 expression on the overall survival of patients with EBVaGC or EBVnGC were assessed by univariate and multivariate analysis. Results: We found that both STING and PD-L1 exhibited significantly higher expression in the EBVaGCs than that in the EBVnGCs. The expression of STING was positively correlated with that of PD-L1 in EBVaGCs. Simultaneous negative expression of STING and PD-L1, and positive expression of STING were independent prognostic risk factors for EBVaGC and EBVnGC, respectively. Conclusions: This is the first prognostic retrospective study of STING and PD-L1 expression and the prognosis among EBVaGC and EBVnGC. The expression and prognostic value of STING and PD-L1 are different in the two types of GCs. STING and PD-L1 are promising prognostic biomarkers and therapeutic targets for EBVaGC and EBVnGC. (Gut Liver 2022;16:875-891)

Investigation on separation principle of vanadium and chromium among Fe2VO4-CaO-FeCr2O4 system: Simplify and simulate calcification roasting process of vanadium-chromium slag

Jing Wen,Tao Jiang,Hongyan Sun,Tangxia Yu,Ming Li,Yi Peng 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.115 No.-

The competitive reaction of vanadium and chromium with calcium additives, along with the formationmechanism of calcium vanadate and calcium chromate are the central issue to the efficient separationand extraction of vanadium and chromium from vanadium-chromium slag (V-Cr slag) by calcificationroasting. In this study, Fe2VO4 and FeCr2O4 were synthesized to simulate the vanadium chromium spinelin V-Cr slag; then, the reaction mechanism of Fe2VO4-CaO-FeCr2O4 powder system was studied by XRD,SEM and leaching experiments. Results showed that calcium vanadate and calcium chromate are generatedafter roasting Fe2VO4-CaO system and FeCr2O4-CaO system individually. In Fe2VO4-CaO-FeCr2O4 system,as n(CaO)/n(V2O3) is 2, vanadium exists in the form of Ca2V2O7 while almost all Cr2O3 from thedecomposition of FeCr2O4 reacts with Fe2O3 to continuously form solid solution with more FeCr2O4 adding. After leaching, the addition of FeCr2O4 has no obvious effect on the leaching ratio of vanadium, andthe leaching ratio of chromium decrease with FeCr2O4 adding. Consequently, 94.03% of vanadium and0.15% of chromium are leached with n(CaO)/n(V2O3)/n(Cr2O3) of 2/1/1.03 at 900 C. When n(CaO)/n(V2O3) is 4, Fe2VO4 is oxidized and calcified gradually to form Ca2V2O7 and Ca3V2O8 with increasing roastingtemperature. A small amount of CaCrO4 is generated owing to the calcification of chromium, and mostchromium still exists in the form of solid solution. The reaction result of Cr2O3 and Fe2O3 is the superpositionof solid solution reactions with different degrees. Increasing the roasting temperature can significantlyreduce the chromium leaching ratio. All above would provide a theoretical support for thecalcification roasting process from V-Cr slag.

Decision diagram based methods and reliability analysis for k-out-of-n: G systems

Shumin Li,Shudong Sun,Shubin Si,Shuai Zhang,Hongyan Dui 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.10

Binary k-out-of-n systems are commonly used reliability models in engineering practice. Many authors have extended the concept ofk-out-of-n system to multi-state k-out-of-n systems. This paper proposes a binary decision diagram (BDD) based approach for binary kout-of-n: G system and a multi-state multi-valued decision diagram (MMDD) based approach for multi-state k-out-of-n: G system. BDDand MMDD have been extensively used for representing and manipulating logic functions in many areas, including reliability modelingand analysis. In this paper, patterns of BDD/MMDD for binary/multi-state k-out-of-n: G system are summarized and proved, a two-stepalgorithmic process is proposed for modeling the BDD/MMDD and three case studies are implemented to demonstrate the presentedmethods. Complexity analysis shows that the presented method is more computationally efficient than the traditional algorithms for kout-of- n: G system.

Nitric Oxide Synthase Expressions in ADR-induced Cardiomyopathy in Rats

Liu, Baogang,Li, Hongli,Qu, Hongyan,Sun, Baogui Korean Society for Biochemistry and Molecular Biol 2006 Journal of biochemistry and molecular biology Vol.39 No.6

In this study, we investigate Nitric oxide synthase (NOS) expressions in adriamycin (ADR)-induced cadiomyopathy in rats. Sixty male Wistar rats were randomly divided into two main groups: control and ADR groups. Myocardial histopathological observation was performed; Expressions of 3 isoforms of NOS genes were examined by RT-PCR analysis; Expressions of 3 isoforms of NOS protein was assessed by Western blot analysis. Myocardium exhibited intensive morphological changes after 8 weeks of ADR treatment. The expression levels of inducible NOS (iNOS) gene and protein were significantly increased in ADR-treated rats after 8 weeks of treatment and then slightly increased at weeks 9 and 10. No significantly difference of neuronal NOS (nNOS) or endothelial NOS (eNOS) gene and protein were observed in the myocardium obtained from the control rats and ADR-injected rats at any time point. iNOS gene expression is selectively induced by ADR in heart. The upregulation of iNOS gene and protein may be somehow correlated with morphological changes seen in heart of rat treated with ADR.

Isolation and Expression Analysis of a GDSL-like Lipase Gene from Brassica napus L.

Ling, Hua,Zhao, Jingya,Zuo, Kaijing,Qiu, Chengxiang,Yao, Hongyan,Qin, Jie,Sun, Xiaofen,Tang, Kexuan Korean Society for Biochemistry and Molecular Biol 2006 Journal of biochemistry and molecular biology Vol.39 No.3

As lipolytic enzymes, GDSL lipases play an important role in plant growth and development. In order to identify their functions and roles, the full-length cDNA of a GDSL lipase gene, designated BnLIP2, was isolated from Brassica napus L. BnLIP2 was 1,300 bp long, with 1,122 bp open reading frame (ORF) encoding 373 amino acid residues. Sequence analysis indicated that BnLIP2 belonged to GDSL family. Southern blot analysis indicated that BnLIP2 belonged to a small gene family in rapeseed genome. RT-PCR analysis revealed that BnLIP2 was a tissue-specific expressing gene during reproductive growth and strongly expressed during seed germination. BnLIP2 expression could not be detected until three days after germination, and it subsequently became stronger. The transcript of this gene was deficient in root of seedlings growing at different stages. When juvenile seedlings were treated by methyl jasmonate (MeJ), salicylic acid (SA) and naphthalene acetic acid (NAA), BnLIP2 expression could not be induced in root. Our study implicates that BnLIP2 probably plays an important role in rapeseed germination, morphogenesis, flowering, but independent of root growth and development.

Expression profiling identified IL-8 as a regulator of homotypic cell-in-cell formation

( Banzhan Ruan ),( Chenxi Wang ),( Ang Chen ),( Jianqing Liang ),( Zubiao Niu ),( You Zheng ),( Jie Fan ),( Lihua Gao ),( Hongyan Huang ),( Xiaoning Wang ),( Qiang Sun ) 생화학분자생물학회(구 한국생화학분자생물학회) 2018 BMB Reports Vol.51 No.8

Homotypic cell-in-cell (CIC) structures forming between cancer cells were proposed to promote tumor evolution via entosis, a nonapoptotic cell death process. However, the mechanisms underlying their formation remained poorly understood. We performed a microarray analysis to identify genes associated with homotypic CIC formation. Cancer cells differing in their ability to form homotypic CIC structures were selected for the study. Association analysis identified 73 probe sets for 62 candidate genes potentially involved in CIC formation. Among them, twenty-one genes were downregulated while 41 genes were upregulated. Pathway analysis identified a gene interaction network centered on IL-8, which was upregulated in high CIC cells. Remarkably, CIC formation was significantly inhibited by IL-8 knockdown and enhanced upon recombinant IL-8 treatment, which correlated with altered cell-cell adhesion and expression of adhesive molecules such as P-cadherin and γ-catenin. Together, our work identified IL-8 as a positive regulator of homotypic CIC formation via enhancing intercellular adhesion. [BMB Reports 2018; 51(8): 412-417]

An Intelligent Fault Diagnosis Method for Imbalanced Nuclear Power Plant Data Based on Generative Adversarial Networks

Dai Yuntao,Peng Lizhang,Juan Zhaobo,Liang Yuan,Shen Jihong,Wang Shujuan,Tan Sichao,Yu Hongyan,Sun Mingze 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.4

In the fault diagnosis problem, where sample data of fault cases are imbalanced, data generation and expansion are performed based on a generative adversarial network to obtain balanced data for training. Combining a gated recurrent neural network and an autoencoder model, the GRU-BEGAN model for generating multiple time series data is proposed for the intelligent fault diagnosis of imbalanced nuclear power plant data. To guarantee the consistency of the probability distribution between the generated data and real data, the K-L losses are included as a part of the loss function of the generator. At the same time, the potential feature vector of the real data obtained by the discriminator encoder is introduced as a hidden variable in the generator, and the similarity between the generated data and the real data is controlled by introducing the hidden variables according to the probability to make the generated data diverse. For the imbalanced fault dataset of the nuclear power plant thermal–hydraulic systems, the proposed GRU-BEGAN model is used to expand the original data to obtain a balanced state. Then, a 1D-CNN fault diagnosis model is established based on a convolutional neural network. The experimental results show that the fault diagnosis accuracy of the total test data is improved by 1.45% after data expansion, and the fault diagnosis accuracy of the minority sample is improved by 6.8% after data expansion.

A Molecular Dynamics Simulation Study of the Gibbs-Tolman-Koening-Buff Equation

Hong Yan,Haimei Sun,Xiaofang Zhou 한국물리학회 2015 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.67 No.5

The applicability of the Gibbs-Tolman-Koening-Buff (GTKB) equation has been a concern. A scheme is designed to test the GTKB equation. Molecular dynamics simulations are carried out for argon liquid of different systems containing different numbers of atoms with a Lennard-Jones (LJ) potential at a temperature of 78 K. The Tolman length and the surface tension are calculated. Based on the analysis, we conclude the GTKB equation is tenable for R s > 8.