期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Reg gene family and human diseases 被引量:21
1
作者 Yu-WeiZhang Liu-SongDing Mao-DeLai 《World Journal of Gastroenterology》 SCIE CAS CSCD 2003年第12期2635-2641,共7页
Regenerating gene (Reg or REG) family, within the superfamily of C-type lectin, is mainly involved in the liver,pancreatic, gastric and intestinal cell proliferation or differentiation. Considerable attention has focu... Regenerating gene (Reg or REG) family, within the superfamily of C-type lectin, is mainly involved in the liver,pancreatic, gastric and intestinal cell proliferation or differentiation. Considerable attention has focused on Reg family and its structurally related molecules. Over the last 15 years, 17 members of the Reg family have been cloned and sequenced. They have been considered as members of a conserved protein family sharing structural and some functional properties being involved in injury, inflammation,diabetes and carcinogenesis. We previously identified Reg Ⅳ as a strong candidate for a gene that was highly expressed in colorectal adenoma when compared to normal mucosa based on suppression subtractive hybridization (SSH),reverse Northern blot, semi-quantitative reverse transcriptase PCR (RT-PCR)and Northern blot. In situ hybridization results further support that overexpression of Reg Ⅳ may be an early event in colorectal carcinogenesis. We suggest that detection of Reg Ⅳ overexpression might be useful in the early diagnosis of carcinomatous transformation of adenoma.This review summarizes the roles of Reg family in diseases in the literature as well as our recent results of Reg Ⅳ in colorectal cancer. The biological properties of Reg family and its possible roles in human diseases are discussed. We particularly focus on the roles of Reg family as sensitive reactants of tissue injury, prognostic indicators of tumor survival and early biomarkers of carcinogenesis. In addition to our current understanding of Reg gene functions, we postulate that there might be relationships between Reg family and microsatellite instability, apoptosis and cancer with a poor prognosis. Investigation of the correlation between tumor Reg expression and survival rate, and analysis of the Reg gene status in human maliganancies, are required to elucidate the biologic consequences of Reg gene expression, the implications for Reg gene regulation of cell growth, tumorigenesis, and the progression of cancer. It needs to be further attested whether Reg gene family is applicable in early detection of cancer and whether Reg and Reg-related molecules can offer novel molecular targets for anticancer therapeutics. This has implications with regard to prognosis, such as in monitoring cancer initiation,progression and recurrence, as well as the design of chemotherapeutic drugs. 展开更多
关键词 重组基因 C型血凝素 细胞增殖 临床意义 RT-PCR
下载PDF
Neural Network Ensemble Residual Kriging Application for Spatial Variability of Soil Properties 被引量:37
2
作者 SHENZhang-Quan SHIJie-Bin +2 位作者 WANGKe KONGFan-Sheng J.S.BAILEY 《Pedosphere》 SCIE CAS CSCD 2004年第3期289-296,共8页
High quality, agricultural nutrient distribution maps are necessary for precision management, but depend on initial soil sample analyses and interpolation techniques. To examine the methodologies for and explore the c... High quality, agricultural nutrient distribution maps are necessary for precision management, but depend on initial soil sample analyses and interpolation techniques. To examine the methodologies for and explore the capability of interpolating soil properties based on neural network ensemble residual kriging, a silage field at Hayes, Northern Ireland, UK, was selected for this study with all samples being split into independent training and validation data sets. The training data set, comprised of five soil properties: soil pH, soil available P, soil available K, soil available Mg and soil available S,was modeled for spatial variability using 1) neural network ensemble residual kriging, 2) neural network ensemble and 3) kriging with their accuracies being estimated by means of the validation data sets. Ordinary kriging of the residuals provided accurate local estimates, while final estimates were produced as a sum of the artificial neural network (ANN)ensemble estimates and the ordinary kriging estimates of the residuals. Compared to kriging and neural network ensemble,the neural network ensemble residual kriging achieved better or similar accuracy for predicting and estimating contour maps. Thus, the results demonstrated that ANN ensemble residual kriging was an efficient alternative to the conventional geo-statistical models that were usually used for interpolation of a data set in the soil science area. 展开更多
关键词 全体神经网络 残留物 土壤性质 空间变量
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部