Identification and expression analysis of the E2F/DP genes under salt stress in Medicago truncatula

Tian-Yi Ma,Jing Guo,Zi-Wei Li,Shu-Yong Zhang,Guo-Ting Liang 한국유전학회 2014 Genes & Genomics Vol.36 No.6

Cell cycle control in plants converges on theRb/E2F/DP pathway, which is regulated by cyclin-dependentkinases. Plants can coordinate their cell cycles duringsalt stress to benefit their growth and development. However,the mechanism underlying cell cycle control undersalt stress is still unclear. Here, we identified five predictedE2F/DP genes in the Medicago truncatula genome,including three E2Fs, one DP, and one DEL. The conserveddomains of the E2F/DP proteins were relativelywell conserved with those of Arabidopsis thaliana andOryza sativa. Intron/exon organization analyses indicatedthat Medtr;E2Fc and Medtr;DPa gained/lost introns in theconserved domains during recent evolutionary process. Furthermore, an expression analysis showed that thesegenes were expressed with varied transcription levels in allof the tissues tested. Contrasting gene expression changesin response to salt treatment in salt-tolerant versus saltsensitivegenotypes indicated that Medtr;DPa might be acandidate gene underlying the salt tolerance. This studywill contribute to the understanding of the E2F/DP transcriptionfactors in M. truncatula and of the mechanismorganizing cell cycle regulation and salt stress.

Factors that Influence the Presciption of Antipsychotics for Patients with Schizophrenia in China

Tian-Mei Si,Liang Shu,Ke-Qing Li,Xie-He Liu,Qi-Yi Mei,Gao-Hua Wang,Pei-Shen Bai,Li-Ping Ji,Xian-Sheng Chen,Cui Ma,Jian-Guo Shi,Hong-Yan Zhang,Hong Ma,Xin Yu 대한정신약물학회 2011 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.9 No.3

Objective: To investigate the patterns of antipsychotic use in China and to analyze the factors that influence antipsychotic prescriptions. Methods: A standardized survey was conducted from May 20 to 24 2002 in five different regions of China with varying economic levels. The patterns of antipsychotic medication use were analyzed in a sample of 4,779 patients with schizophrenia. The survey gathered information on demographic characteristics, clinical profiles, and antipsychotic medications prescribed. Multiple logistic regression was used to analyze factors related to patterns of antipsychotic medication use. Results: A plurality of patients with schizophrenia was treated with clozapine (39%); this was followed by risperidone, sulpride,chlorpromazine, perphenazine, and haloperidol. More than 56.3% of patients were treated with only one atypical antipsychotic. The mean daily dose of chlorpromazine was 365±253 mg (mean±standard deviation), and 6.5% of patients were treated with depot injections of typical antipsychotic medications. A total of 73.7% (n=3,523) of patients with schizophrenia received monotherapy,24.8% (n=1,183) received two antipsychotics, 1.1% (n=52) received three antipsychotics, and one received four different antipsychotics. Patients often simultaneously received other classes of medications including anticholinergic agents, benzodiazepines,β-blockers, antidepressants, and mood stabilizers. Economic status and clinical symptoms were the main factors that contributed to the patterns of antipsychotic prescription. Conclusion: The present study suggests that atypical antipsychotic medications, especially clozapine, are the primary psychiatric treatments of choice in the management of schizophrenia in China. Moreover, the economic status and clinical profile of the patient are the major factors affecting the prescription of antipsychotic medication.

Use of Clozapine for the Treatment of Schizophrenia: Findings of the 2006 Research on the China Psychotropic Prescription Studies

Tian-Mei Si,Yun-shu Zhang,Liang Shu,Ke-Qing Li,Xie-He Liu,Qi-Yi Mei,Gao-Hua Wang,Pei-Shen Bai,Li-Ping Ji,Xian-Sheng Cheng,Cui Ma,Jian-Guo Shi,Hong-Yan Zhang,Hong Ma,Xin Yu 대한정신약물학회 2012 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.10 No.2

Objective: Clozapine is one of the most commonly used antipsychotic drugs in China. To date, few studies have investigated the patterns the prescription of clozapine nationwide. The present study examined these patterns in China in 2006 and identified the demographic and clinical characteristics associated with the use of clozapine. Methods: Using a standardized protocol and data collection procedure, we surveyed 5,898 patients with schizophrenia in 10provinces with differing levels of economic development. Results: Overall, clozapine had been prescribed for 31.9% (n=1,883) of the patients; however we found considerable variation among the 10 provinces. The frequency of clozapine use was highest in Sichuan (39.3%) and lowest in Beijing (17.3%). The mean daily dose of clozapine was 210.36±128.72 mg/day, and 25.1% of the patients were treated with clozapine in combination with other antipsychotics. Compared with the group not receiving clozapine, clozapine-user had been treated for longer durations and had experienced a greater number of relapses and hospitalizations. Furthermore, those in the clozapine-user had lower family incomes, were less able to seek psychiatric services, and more likely to be male and have a positive family history of schizophrenia. A multiple logistic regression analysis revealed that age, sex, professional help-seeking behaviors, duration of illness, economic status, educational level, and clinical manifestations were associated with the use of clozapine. Conclusion: Clozapine use is common in China. However, use of the antipsychotic varies among provinces, and demographic and clinical factors play important roles in the prescription of clozapine.

Purification and characterization of a 1,3-β-D-glucan recognition protein from Antheraea pernyi larve that is regulated after a specific immune challenge

( Ma You Lei ),( Zhang Jing Hai ),( Zhang Yun Tao ),( Jiao Shu Lin ),( Tian Yi Wang ),( Chun Fu Wu ),( Rong Zhang ) 생화학분자생물학회 2013 BMB Reports Vol.46 No.5

Pattern recognition receptors are known to participate in the activation of Prophenoloxidase system. In this study, a 1,3-β-D-glucan recognition protein was detected for the first time in Antheraea pernyi larvae (Ap-βGRP). Ap-βGRP was purified to 99.9% homogeneity from the hemolymph using traditional chromatographic methods. Ap-βGRP specifically bind 1,3-β-D-glucan and yeast, but not E. coli or M. luteus. The 1,3-β-D-glucan dependent phenoloxidase (PO) activity of the hemolymph inhibited by anti-Ap-βGRP antibody could be recovered by addition of purified Ap-βGRP. These results demonstrate that Ap-βGRP acts as a biosensor of 1,3-β-Dglucan to trigger the Prophenoloxidase system. A trace mount of 1,3-β-D-glucan or Ap-βGRP alone was unable to trigger the proPO system, but they both did. Ap-βGRP was specifically degraded following the activation of proPO with 1,3-β-Dglucan. These results indicate the variation in the amount of Ap-βGRP after specific immune challenge in A. pernyi hemolymph is an important regulation mechanism to immune response.

Age Estimation via Selecting Discriminated Features and Preserving Geometry

( Qing Tian ),( Heyang Sun ),( Chuang Ma ),( Meng Cao ),( Yi Chu ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.4

Human apparent age estimation has become a popular research topic and attracted great attention in recent years due to its wide applications, such as personal security and law enforcement. To achieve the goal of age estimation, a large number of methods have been pro-posed, where the models derived through the cumulative attribute coding achieve promised performance by preserving the neighbor-similarity of ages. However, these methods afore-mentioned ignore the geometric structure of extracted facial features. Indeed, the geometric structure of data greatly affects the accuracy of prediction. To this end, we propose an age estimation algorithm through joint feature selection and manifold learning paradigms, so-called Feature-selected and Geometry-preserved Least Square Regression (FGLSR). Based on this, our proposed method, compared with the others, not only preserves the geometry structures within facial representations, but also selects the discriminative features. Moreover, a deep learning extension based FGLSR is proposed later, namely Feature selected and Geometry preserved Neural Network (FGNN). Finally, related experiments are conducted on Morph2 and FG-Net datasets for FGLSR and on Morph2 datasets for FGNN. Experimental results testify our method achieve the best performances.

Inhibitory Effects of Onion (Allium cepa L.) Extract on Proliferation of Cancer Cells and Adipocytes via Inhibiting Fatty Acid Synthase

Wang, Yi,Tian, Wei-Xi,Ma, Xiao-Feng Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.11

Onions (Allium cepa L.) are widely used in the food industry for its nutritional and aromatic properties. Our studies showed that ethyl acetate extract of onion (EEO) had potent inhibitory effects on animal fatty acid synthase (FAS), and could induce apoptosis in FAS over-expressing human breast cancer MDA-MB-231 cells. Furthermore, this apoptosis was accompanied by reduction of intracellular FAS activity and could be rescued by 25 mM or 50 mM exogenous palmitic acids, the final product of FAS catalyzed synthesis. These results suggest that the apoptosis induced by EEO occurs via inhibition of FAS. We also found that EEO could suppress lipid accumulation during the differentiation of 3T3-L1 adipocytes, which was also related to its inhibition of intracellular FAS activity. Since obesity is closely related to breast cancer and obese patients are at elevated risk of developing various cancers, these findings suggested that onion might be useful for preventing obesity-related malignancy.

Efficient Visual Place Recognition by Adaptive CNN Landmark Matching

( Yutian Chen ),( Wenyan Gan ),( Yi Zhu ),( Hui Tian ),( Cong Wang ),( Wenfeng Ma ),( Yunbo Li ),( Dong Wang ),( Jixian He ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.11

Visual place recognition (VPR) is a fundamental yet challenging task of mobile robot navigation and localization. The existing VPR methods are usually based on some pairwise similarity of image descriptors, so they are sensitive to visual appearance change and also computationally expensive. This paper proposes a simple yet effective four-step method that achieves adaptive convolutional neural network (CNN) landmark matching for VPR. First, based on the features extracted from existing CNN models, the regions with higher significance scores are selected as landmarks. Then, according to the coordinate positions of potential landmarks, landmark matching is improved by removing mismatched landmark pairs. Finally, considering the significance scores obtained in the first step, robust image retrieval is performed based on adaptive landmark matching, and it gives more weight to the landmark matching pairs with higher significance scores. To verify the efficiency and robustness of the proposed method, evaluations are conducted on standard benchmark datasets. The experimental results indicate that the proposed method reduces the feature representation space of place images by more than 75% with negligible loss in recognition precision. Also, it achieves a fast matching speed in similarity calculation, satisfying the real-time requirement.

The Analysis of Agricultural Output in Port SD Province Based on System Dynamics

Jianliang Liu,Junhai Ma,Yi Tian 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.9

In order to know various factors affecting agricultural development in Shandong Province, this paper uses system dynamics model, modeling on agricultural output system in Shandong Province .It analyses how population growth, household consumption, the existing agricultural resources as well as GDP of Shandong Province affect the agricultural output, and uses Vensim software to make algorithm implemented. It analyses the effects of changed factors on agricultural output, and helps for government to make the agricultural development policy.

Two-Dimensional Unilamellar Cation-Deficient Metal Oxide Nanosheet Superlattices for High-Rate Sodium Ion Energy Storage

Xiong, Pan,Zhang, Xiuyun,Zhang, Fan,Yi, Ding,Zhang, Jinqiang,Sun, Bing,Tian, Huajun,Shanmukaraj, Devaraj,Rojo, Teofilo,Armand, Michel,Ma, Renzhi,Sasaki, Takayoshi,Wang, Guoxiu American Chemical Society 2018 ACS NANO Vol.12 No.12

<P>Cation-deficient two-dimensional (2D) materials, especially atomically thin nanosheets, are highly promising electrode materials for electrochemical energy storage that undergo metal ion insertion reactions, yet they have rarely been achieved thus far. Here, we report a Ti-deficient 2D unilamellar lepidocrocite-type titanium oxide (Ti<SUB>0.87</SUB>O<SUB>2</SUB>) nanosheet superlattice for sodium storage. The superlattice composed of alternately restacked defective Ti<SUB>0.87</SUB>O<SUB>2</SUB> and nitrogen-doped graphene monolayers exhibits an outstanding capacity of ∼490 mA h g<SUP>-1</SUP> at 0.1 A g<SUP>-1</SUP>, an ultralong cycle life of more than 10000 cycles with ∼0.00058% capacity decay per cycle, and especially superior low-temperature performance (100 mA h g<SUP>-1</SUP> at 12.8 A g<SUP>-1</SUP> and −5 °C), presenting the best reported performance to date. A reversible Na<SUP>+</SUP> ion intercalation mechanism without phase and structural change is verified by first-principles calculations and kinetics analysis. These results herald a promising strategy to utilize defective 2D materials for advanced energy storage applications.</P> [FIG OMISSION]</BR>

The role of extracellular vesicles in osteoarthritis treatment via microenvironment regulation

Han Yin,Muzhe Li,Guangzhao Tian,Yang Ma,Chao Ning,Zineng Yan,Jiang Wu,Qian Ge,Xiang Sui,Shu-Yun Liu,Jinxuan Zheng,Weimin Guo,Quan-Yi Guo 한국생체재료학회 2022 생체재료학회지 Vol.26 No.4

Osteoarthritis (OA) is a degenerative joint disease that is common among the middle-aged and older populations, causes patients to experience recurrent pain in their joints and negatively affects their quality of life. Currently, therapeutic options for patients with OA consist of medications to alleviate pain and treat the symptoms; however, due to typically poor outcomes, patients with advanced OA are unlikely to avoid joint replacement. In recent years, several studies have linked disrupted homeostasis of the joint cavity microenvironment to the development of OA. Recently, extracellular vesicles (EVs) have received increasing attention in the field of OA. EVs are natural nano-microcarrier materials with unique biological activity that are produced by cells through paracrine action. They are composed of lipid bilayers that contain physiologically active molecules, such as nucleic acids and proteins. Moreover, EVs may participate in local and distal intercellular and intracellular communication. EVs have also recently been shown to influence OA development by regulating biochemical factors in the OA microenvironmental. In this article, we first describe the microenvironment of OA. Then, we provide an overview of EVs, summarize the main types used for the treatment of OA, and describe their mechanisms. Next, we review clinical studies using EVs for OA treatment. Finally, the specific mechanism underlying the application of miRNA-enriched EVs in OA therapy is described.