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An improved SCGM(1,m) model for multi-point deformation analysis
Qi-jie Wang,Chang-cheng Wang,Rong-an Xie,Xin-qing Zhang,Jian-jun Zhu 한국지질과학협의회 2014 Geosciences Journal Vol.18 No.4
Considering the deformation of discrete monitoringpoints within the same deformable body usually have similar physicalproperties and tend to undergoing identical dynamic process, jointmodelling of the deformation processes of these points in time domainare expected to generate better results. Yin et al. (1997) first extendedthe multi-variable grey model-system cloud grey model SCGM(1,m),with obviously superior modelling mechanism than single-variablegrey model, to multi-point deformation modelling. However, thismodel is still not widely recognized and its applications remain verylimited in the field of deformation analysis. The objective of this studyis to demonstrate the capability of the SCGM(1,m) model, to presenttwo revisions to further improve the performance of the model andto draw more attention to the community of deformation analysis. We first introduce the principles of the SCGM(1,m) model in theanalysis and prediction of deformation surveys. Two practicaltechniques, namely residuals re-modelling and linear regressionadjustment, are then presented to improve the SCGM(1,m) model. Combined with slope monitoring data, the modelling with the originaland the improved SCGM(1,m) models by residuals re-modellingand linear regression adjustment are illustrated. The mean relativeprediction errors decrease from 5.89% to 3.54% and 2.69%, whenthe two refining techniques are applied, respectively, indicating relativeimprovements of 39.9% and 54.3%.
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Luciferase Assay to Screen Tumour-specific Promoters in Lung Cancer
Xu, Rong,Guo, Long-Jiang,Xin, Jun,Li, Wen-Mao,Gao, Yan,Zheng, You-Xian,Guo, You-Hong,Lin, Yang-Jun,Xie, Yong-Hua,Wu, Ya-Qing,Xu, Rui-An Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.11
Objective: Specific promoters could improve efficiency and ensure the safety of gene therapy. The aim of our study was to screen examples for lung cancer. Methods: The firefly luciferase gene was used as a reporter, and promoters based on serum markers of lung cancer were cloned. The activity and specificity of seven promoters, comprising CEACAM5 (carcinoembryonic antigen, CEA), GRP (Gastrin-Releasing Peptide), KRT19 (cytokeratin 19, KRT), SFTPB (surfactant protein B, SP-B), SERPINB3 (Squamous Cell Carcinoma Antigen, SCCA), SELP (Selectin P, Granule Membrane Protein 140kDa, Antigen CD62, GMP) and DKK1 (Dickkopf-1) promoters were compared in lung cancer cells to obtain cancer-specific examples with strong activity. Results: The CEACAM5, DKK1, GRP, SELP, KRT19, SERPINB3 and SFTPB promoters were cloned. Furthermore, we successfully constructed recombinant vector pGL-CEACAM5 (DKK1, GRP, SELP, KRT19, SERPINB3 and SFTPB) contained the target gene. After cells were transfectedwith recombinant plasmids, we found that the order of promoter activity from high to low was SERPINB3, DKK1, SFTPB, KRT19, CEACAM5, SELP and GRP and the order for promoters regarding specificity and high potential were SERPINB3, DKK1, SELP, SFTPB, CEACAM5, KRT19 and GRP. Conclusion: The approach adopted is feasible to screen for new tumour specific promoters with biomarkers. In addition, the screened lung-specific promoters might have potential for use in lung cancer targeted gene therapy research.
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Tao Huang,Ya‑dong Wang,Ming‑ming Xue,Xue Feng,Cai‑Xia Sun,An‑si Wang,Shu‑yu Xie,Meng Zhang,Gui‑Rong Sun,Ming Li 한국유전학회 2018 Genes & Genomics Vol.40 No.7
Reproduction is a complex physiological process that is regulated by multiple genes and pathways. Compared with studies of common livestock, fewer studies of genes related to the fertility of rabbits (Oryctolagus cuniculus) have been reported, and the molecular mechanism of their high productivity is still poorly understood. To identify candidate genes associated with development and prolificacy in rabbits, we analyzed gene expression differences among the ovaries of mature Californian rabbit (LC), and mature (HH) and immature Harbin white rabbit (IH) using digital gene expression technology. We detected 885 and 321 genes that were significantly differentially expressed in comparisons between HH/IH and HH/LC, respectively. The functions of the differentially expressed genes (DEGs) were determined by GO classification and KEGG pathway analysis. The results suggest that most of the DEGs between the mature and immature developmental stages were predominantly associated with DNA replication, cell cycle, and progesterone-mediated oocyte maturation, and most were up-regulated in the IH group compared with the HH group. The DEGs involved in disparate fecundities between HH and LC were associated with reproduction, fructose and mannose metabolism, steroid hormone biosynthesis, and pyruvate metabolism. Our results will contribute to a better understanding of changes in the regulatory network in ovary at different developmental stages and in different fertility of rabbit.
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