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- 저자 : Guang-Qiang Fang (검색결과 3 건)
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Aberrant Expression of CCAT1 Regulated by c-Myc Predicts the Prognosis of Hepatocellular Carcinoma
Zhu, Hua-Qiang,Zhou, Xu,Chang, Hong,Li, Hong-Guang,Liu, Fang-Feng,Ma, Chao-Qun,Lu, Jun Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.13
Background: CCAT1 has been reported to be linked with pathogenesis of malignancies including colon cancer and gastric cancer. However, the regulatory effect of CCAT1 in hepatocellular carcinoma (HCC) remains unclear. The purpose of this research was to identify any role of CCAT1 in the progression of HCC. Materials and Methods: Real time-PCR was performed to test the relative expression of CCAT1 in HCC tissues. A computation screen of CCAT1 promoter was conducted to search for transcription-factor-binding sites. The association of c-Myc with CCAT1 promoter in vivo was tested by Pearson correlation analysis and chromatin immunoprecipitation assay. Additionally, Kaplan-Meier analysis and Cox proportional hazards analyses were performed. Results: c-Myc directly binds to the E-box element in the promoter region of CCAT, and when ectopically expressed increases promoter activity and expression of CCAT1. Moreover, Kaplan-Meier analysis demonstrated that the patients with low expression of CCAT1 demonstrated better overall and relapse-free survival compared with the high expression group. Cox proportional hazards analyses showed that CCAT1 expression was an independent prognostic factor for HCC patients. Conclusions: The findings demonstrated CCAT1, acting as a potential biomarker in predicting the prognosis of HCC, is regulated by c-Myc.
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Shi-Ke Liang,Zi-Qiang Liang,Xiao-Sui Zhou,Jia-Lin Chen,Guang-Hong Li,Fang-Hai Wang 한국응용곤충학회 2015 Journal of Asia-Pacific Entomology Vol.18 No.3
Sogatella furcifera is amajor rice pest that exhibits wing dimorphism. The methylation-sensitive representational difference analysis (MS-RDA) is widely used in plants and some animals to identify methylation differences in genomic DNA regions. However the method has been applied to insects very less. The objective of the current research was tomonitor differential cytosine methylations at CCGG sequences inmacropterous and brachypterous adults of female S. furcifera to determine the association between gene methylation and wing phenotypes using MS-RDA. After the second subtractive hybridization, two differentially methylated DNA fragments were obtained. These DNA fragments were then cloned into the pGEM-T vector and sequenced. One fragment fromthe positive hybridization was 464 bp, and highly similar to the 18S ribosomal RNA (rRNA) genes from some animals. Another fragment from the reverse hybridization was 453 bp, and homologous to the 28S rRNA gene of S. furcifera with a similarity rate as high as 99%. These results provide potential evidence that DNA methylation of rRNA genes may be related to wing phenotype variations in S. furcifera, and will facilitate future studies on the epigenetic mechanisms of insect wing polymorphism.
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Static Shape Adjustment and Actuator Layered Optimization for Planar Phased Array Satellite Antenna
Ji-Yang Zhou,Guang-Yu Lu,Guo-Ping CAI,Guang-Qiang Fang,Liang-Liang Lv,Jun-Wei Shi 한국항공우주학회 2019 International Journal of Aeronautical and Space Sc Vol.20 No.4
Shape accuracy is of great importance in space antennas, especially in large-scale planar phased array antenna. To maintain the performance of the planar phased array antenna, shape accuracy must be strictly controlled. This paper proposes an optimization method using diagonal cables as actuators to achieve the shape adjustment. As for shape control, actuator placement has a significant impact on the controlled shape accuracy. Misplaced actuators always lead to control problems, and the desired performance may not be achieved with any choice of control forces, so the actuator placement optimization is needed. The optimization problem is challenging because of the mixed discrete–continuous nature of design variables: the actuator placement corresponds to discrete variables and the control forces are continuous variables. A layered optimization method is proposed in this paper to solve the optimal actuator placement and the corresponding control forces. A genetic algorithm is applied in the outside layer to achieve the optimization of the actuator placement, and the quadratic programming method is used in the inside layer to get the corresponding optimal control forces. The proposed layered optimization method is successfully applied to the large-scale planar phased array antenna. Using this method, the influence of the number of actuators on the controlled shape accuracy is also studied.
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