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( Chen Chen ),( Ming Zhong Sun ),( Shu Qing Liu ),( Dong Mei Yeh ),( Li Jun Yu ),( Yang Song ),( Lin Lin Gong ),( Li Hong Hao ),( Jun Hu ),( Shu Juan Shao ) 생화학분자생물학회 (구 한국생화학분자생물학회) 2010 BMB Reports Vol.43 No.8
Smad4 is involved in cancer progression and metastasis. Using a pair of human syngeneic epithelial ovarian cancer cells with low (HO-8910) and high (HO-8910PM) metastatic abilities, we aimed to reveal the role of Smad4 in ovarian cancer metastasis in vitro. Smad4 was down-regulated in HO-8910PM cell line relative to HO-8910 by implicating Smad4 was probably a potential tumor suppressor gene for ovarian cancer. Re-expression of Smad4 decreased the migration ability and inhibited the invasion capacity of HO-8910PM, while promoted the cell adhesion capacity for HO-8910PM. The stable expression of Smad4 increased the expression of E-cadherin, reduced the expression of plasminogen activator inhibitor-1 (PAI-1) and slightly down-regulated the expression of VEGF. Smad4 suppresses human ovarian cancer cell metastasis potential through its effect on the expressions of PAI-1, E-cadherin and VEGF. Results from current work implicate Smad4 might suppress the invasion and metastasis of human ovarian tumor cells through a TGF-β/Smad-mediated pathway. [BMB reports 2010; 43(8): 554-560]
A Novel Electrochemical Biosensor Based on Graphene and Cu Nanowires Hybrid Nanocomposites
Mei Chen,CHANGJUN HOU,DANQUN HUO,Liang Dong,Mei Yang,Huanbao Fa 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2016 NANO Vol.11 No.11
In this research, a new electrochemical sensor based on hybrid nanocomposite consisting of copper nanowires (CuNWs) and graphene (GR) were developed for the detection of organophosphorus pesticides (OPs). The surface morphology of the hybrid nanocomposite were studied by scanning electron microscope (SEM). The electrochemical behavior of the hybrid nanocomposites based sensor and its application for pesticides determination were evaluated by cyclic voltammetry (CV) and square wave voltammetry (SWV). Under optimized operational conditions, SWV was further employed for methyl parathion detection, which shows a wide dynamic range from 0.2 µM to 5 µM, a high sensitivity (69.2 · cm2 · µM-1) and the detection limit as low as 50 nM. It also had specific detection to the methyl parathion residues and had good reproducibility and stability. These results implicated the potential applicability of CuNWs/GNs-Chit hybrid nanocomposites in sensitive and selective detection of organophosphorus pesticides.
Dong Dong Zhang,Yang Fang Wu,Wei Xia Chen,Yao Xu,Si Yan Liu,Huang Huang Luo,Guang Mei Jiang,Yue Wu,Peng Hu 생화학분자생물학회 2019 Experimental and molecular medicine Vol.51 No.-
Renal osteodystrophy (ROD) occurs as early as chronic kidney disease (CKD) stage 2 and seems ubiquitous in almost all pediatric patients with CKD stage 5. Fibroblast growth factor (FGF)-23, a bone-derived endocrine regulator of phosphate homeostasis, is overexpressed in CKD and disturbs osteoblast differentiation and matrix mineralization. In contrast, C-type natriuretic peptide (CNP) acts as a potent positive regulator of bone growth. In the present study, we infused CNP into uremic rats and observed whether CNP could attenuate ROD through the inhibition of FGF-23 cascades. In uremic rats, CNP administration significantly alleviated renal dysfunction, calcium phosphate metabolic disorders, hypovitaminosis D, secondary hyperparathyroidism, the decrease in bone turnover markers and retarded bone pathological progression. More importantly, within FGF-23/mitogen-activated protein kinase (MAPK) signaling, the fibroblast growth factor receptor-1, Klotho and alternative (STAT-1/phospho-STAT-1) elements were upregulated by CNP, whereas FGF-23, RAF-1/phospho-RAF-1, and downstream (ERK/phospho-ERK and P38/phospho-P38) elements were paradoxically underexpressed in bone tissue. Therefore, CNP exerts a therapeutic effect on ROD through inhibition of FGF-23/MAPK signaling at the RAF-1 level.
Tsung-Hua Lu(Tsung-Hua Lu),Shih-Hsien Lin(Shih-Hsien Lin),Mei Hung Chi(Mei Hung Chi),Ching-Lin Chu(Ching-Lin Chu),Dong-Yu Yang(Dong-Yu Yang),Wei Hung Chang(Wei Hung Chang),Po See Chen(Po See Chen),Yen 대한정신약물학회 2023 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.21 No.1
Objective: Hypoactivity in the reward system among patients with attention deficit hyperactivity disorder (ADHD) is a well-known phenomenon. Whether the activity in the reward pathway is related to harm avoidance, such as in sensitivity to punishment, is unclear. Evidence regarding the potential difference between ADHD patients and controls in terms of this association is scarce. Methods: Event-related functional magnetic resonance imaging was conducted on subjects performing the Iowa gambling test. Fourteen adults with ADHD and 14 controls were enrolled in the study. Results: Harm avoidance was found to be positively correlated with the activities of the bilateral orbitofrontal cortex and right insula in individuals with ADHD. A group difference was also confirmed. Conclusion: Understanding the roles of harm avoidance and brain activation during risk tasks is important.
Tong‑Mei Gao,Shuang‑Ling Wei,Jing Chen,Yin Wu,Feng Li,Li‑Bin Wei,Chun Li,Yan‑Juan Zeng,Yuan Tian,Dong‑Yong Wang,Hai‑Yang Zhang 한국유전학회 2020 Genes & Genomics Vol.42 No.1
Background Both photosynthetic pigments and chloroplasts in plant leaf cells play an important role in deciding on the photosynthetic capacity and efficiency in plants. Systematical investigating the regulatory mechanism of chloroplast development and chlorophyll (Chl) content variation is necessary for clarifying the photosynthesis mechanism for crops. Objective This study aims to explore the critical regulatory mechanism of leaf color mutation in a yellow–green leaf sesame mutant Siyl-1. Methods We performed the genetic analysis of the yellow-green leaf color mutation using the F2 population of the mutant Siyl-1. We compared the morphological structure of the chloroplasts, chlorophyll content of the three genotypes of the mutant F2 progeny. We performed the two-dimensional gel electrophoresis (2-DE) and compared the protein expression variation between the mutant progeny and the wild type. Results Genetic analysis indicated that there were 3 phenotypes of the F2 population of the mutant Siyl-1, i.e., YY type with light-yellow leaf color (lethal); Yy type with yellow-green leaf color, and yy type with normal green leaf color. The yellowgreen mutation was controlled by an incompletely dominant nuclear gene, Siyl-1. Compared with the wild genotype, the chloroplast number and the morphological structure in YY and Yy mutant lines varied evidently. The chlorophyll content also significantly decreased (P < 0.05). The 2-DE comparison showed that there were 98 differentially expressed proteins (DEPs) among YY, Yy, and yy lines. All the 98 DEPs were classified into 5 functional groups. Of which 82.7% DEPs proteins belonged to the photosynthesis and energy metabolism group. Conclusion The results revealed the genetic character of yellow-green leaf color mutant Siyl-1. 98 DEPs were found in YY and Yy mutant compared with the wild genotype. The regulation pathway related with the yellow leaf trait mutation in sesame was analyzed for the first time. The findings supplied the basic theoretical and gene basis for leaf color and chloroplast development mechanism in sesame.
SEL-RefineMask: A Seal Segmentation and Recognition Neural Network with SEL-FPN
Ze-dong Dun,Jian-yu Chen,Mei-xia Qu,Bin Jiang 한국정보처리학회 2022 Journal of information processing systems Vol.18 No.3
Digging historical and cultural information from seals in ancient books is of great significance. However,ancient Chinese seal samples are scarce and carving methods are diverse, and traditional digital imageprocessing methods based on greyscale have difficulty achieving superior segmentation and recognitionperformance. Recently, some deep learning algorithms have been proposed to address this problem; however,current neural networks are difficult to train owing to the lack of datasets. To solve the afore-mentionedproblems, we proposed an SEL-RefineMask which combines selector of feature pyramid network (SEL-FPN)with RefineMask to segment and recognize seals. We designed an SEL-FPN to intelligently select a specificlayer which represents different scales in the FPN and reduces the number of anchor frames. We performedexperiments on some instance segmentation networks as the baseline method, and the top-1 segmentation result of 64.93% is 5.73% higher than that of humans. The top-1 result of the SEL-RefineMask network reached67.96% which surpassed the baseline results. After segmentation, a vision transformer was used to recognizethe segmentation output, and the accuracy reached 91%. Furthermore, a dataset of seals in ancient Chinesebooks (SACB) for segmentation and small seal font (SSF) for recognition were established which are publiclyavailable on the website.