A cDNA library was successfully constructed from Anip973, a human lung adenocarcinoma cell line with high metastatic potential. NIH3T3 cells were stably transfected using this cDNA library and screened for morphologic...A cDNA library was successfully constructed from Anip973, a human lung adenocarcinoma cell line with high metastatic potential. NIH3T3 cells were stably transfected using this cDNA library and screened for morphological changes in a soft agar assay. Genomic DNA was isolated from putative clones and the integrated sequence was retrieved by PCR and sequencing. Three known genes, ribosomal protein L23, hypothetical protein FLJ22104, and serine protease inhibitor, kazal type 6 and a number of 5＇-terminally truncated sequences were identified. Furthermore, cells transfected with ribosomal protein L23 was highly invasive compared with the empty vector as control （P 〈 0.02）. These results indicate that the expression cloning of cDNA libraries in NIH3T3 cells and subsequent screening for loss of contact inhibition in soft agar is a viable tool for identifying tumor-related genes and ribosomal protein L23 gene plays a role in cell movement and metastasis.展开更多
AIM: To develop a microarray-based prewarning system consisting of gastric cancer chip, prewarning data and analysis software for early detection of gastric cancer and pre-cancerous lesions. METHODS: Two high-density ...AIM: To develop a microarray-based prewarning system consisting of gastric cancer chip, prewarning data and analysis software for early detection of gastric cancer and pre-cancerous lesions. METHODS: Two high-density chips with 8 464 human cDNA sites were used to primarily identify potential genes specific for normal gastric mucosa, pre-cancerous lesion and gastric cancer. The low-density chips, composed of selected genes associated with normal gastric mucosa, precancerous lesion and gastric cancer, were fabricated and used to screen 150 specimens including 60 specimens of gastric cancer, 60 of pre-cancerous tissues and 30 of normal gastric mucosa. CAD software was used to screen out the relevant genes and their critical threshold values of expression levels distinguishing normal mucosa from pre-cancerous lesion and cancer. All data were stored in a computer database to establish a prewarning data library for gastric cancer. Two potential markers brcaal and ndr1 were identified by Western blot and immunohistochemistry. RESULTS: A total of 412 genes associated with three stages of gastric cancer development were identified. There were 216 genes displaying higher expression in gastric cancer, 85 genes displaying higher expression in pre-cancerous lesion and 88 genes displaying higher expression in normal gastric mucosa. Also 15 genes associated with metastasis of gastric cancer and 8 genes associated with risk factors were screened out for target genes of diagnosis chip of early gastric cancer. The threshold values of 412 selected genes to distinguish gastric cancer, pre-cancerous lesion from normal gastric mucosa were defined as 6.01±2.40, 4.86±1.94 and 5.42±2.17, respectively. These selected 412 genes and critical threshold values were compiled into an analysis software, which can automatically provide reports by analyzing the results of 412 genes obtained by examining gastric tissues. All data were compiled into a prewarning database for gastric cancer by CGO software. Northern blot and immunohistochemistry analysis confirmed that gene and protein of brcaa1 displayed lower expression in normal gastric mucosa and higher expression in gastric cancer tissues, conversely, ndr1 displayed lower expression in gastric cancer and higher expression in normal gastric mucosa. CONCLUSION: The microarray-based prewarning system for gastric cancer was developed. This system consisted of gastric cancer-associated gene chip, prewarning data and analysis software, which has a high potential for applications in the early detection of gastric cancer. The two potential markers brcaal and ndr1 identified may be used to distinguish cancer status fand non-cancer status.展开更多
The goal of this paper is to take a further step towards an ontological approach for representing requirements information. The motivation for ontologies was discussed. The definitions of ontology and requirements ont...The goal of this paper is to take a further step towards an ontological approach for representing requirements information. The motivation for ontologies was discussed. The definitions of ontology and requirements ontology were given. Then, it presented a collection of informal terms, including four subject areas. It also discussed the formalization process of ontology. The underlying meta-ontology was determined, and the formalized requirements ontology was analyzed. This formal ontology is built to serve as a basis for requirements model. Finally, the implementation of software system was given.展开更多
The main purpose of current study is development of an intelligent model for estimation of shear wave velocity in limestone. Shear wave velocity is one of the most important rock dynamic parameters. Because rocks have...The main purpose of current study is development of an intelligent model for estimation of shear wave velocity in limestone. Shear wave velocity is one of the most important rock dynamic parameters. Because rocks have complicated structure, direct determination of this parameter takes time, spends expenditure and requires accuracy. On the other hand, there are no precise equations for indirect determination of it; most of them are empirical. By using data sets of several dams of Iran and neuro-genetic, adaptive neuro-fuzzy inference system （ANFIS）, and gene expression programming （GEP） methods, models are rendered for prediction of shear wave velocity in limestone. Totally, 516 sets of data has been used for modeling. From these data sets, 413 ones have been utilized for building the intelligent model, and 103 have been used for their performance evaluation. Compressional wave velocity （Vp）, density （7） and porosity （.n）, were considered as input parameters. Respectively, the amount of R for neuro-genetic and ANFIS networks was 0.959 and 0.963. In addition, by using GEP, three equations are obtained; the best of them has 0.958R. ANFIS shows the best prediction results, whereas GEP indicates proper equations. Because these equations have accuracy, they could be used for prediction of shear wave velocity for limestone in the future.展开更多
OBJECTIVE:To observe the effects of Xuesetong Soft Capsules(血塞通软胶囊,Notoginseng total saponin) on angiogenesis and vascular endothelial growth factor(VEGF) mRNA expression in ischemic myocardium of rats with myoc...OBJECTIVE:To observe the effects of Xuesetong Soft Capsules(血塞通软胶囊,Notoginseng total saponin) on angiogenesis and vascular endothelial growth factor(VEGF) mRNA expression in ischemic myocardium of rats with myocardial infarction.METHODS:The left coronary artery of rats was ligated to establish the animal model of acute myocardial infarction.Rats were randomly divided into Xuesetong Soft Capsule,Shexiangbaoxin Pill(positive control),model(negative control) and sham operation groups.After 6 weeks,microvessel count(MVC),microvessel density(MVD) and VEGF mRNA expressioninischemicmyoc ardium were evaluated.RESULTS:MVC and MVD in the myocardial infarct border area in model,Shexiangbaoxin Pill and Xuesetong Soft Capsule groups significantly increased compared with those of the sham operation group(P<0.05).MVC and MVD in the myocardial infarct border area in Xuesetong Soft Capsule and Shexiangbaoxin Pill groups significantly increased compared with those of the model group(P<0.05).No significant differences between Xuesetong Soft Capsule and Shexiangbaoxin Pill groups were observed(P>0.05).The model group showed signifi-cantly higher VEGF mRNA expression than that in the sham operation group(P<0.05).Xuesetong Soft Capsule and Shexiangbaoxin Pill groups showed significantly higher VEGF mRNA expression than that of the model group(P<0.05).No significant difference between Xuesetong Soft Capsule and the Shexiangbaoxin Pill groups was observed(P>0.05).CONCLUSION:Xuesetong Soft Capsules promote angiogenesis in ischemic myocardium after myocardial infarction and the mechanism may be associated withVEGF mRNA expression.展开更多
基金This work was supported by Returning Scholars Fund of Heilongjiang Province (No. LC04C02) the Department of Education Overseas Researcher Fund of Heilongjiang Province (No. 1054HZ013).
文摘A cDNA library was successfully constructed from Anip973, a human lung adenocarcinoma cell line with high metastatic potential. NIH3T3 cells were stably transfected using this cDNA library and screened for morphological changes in a soft agar assay. Genomic DNA was isolated from putative clones and the integrated sequence was retrieved by PCR and sequencing. Three known genes, ribosomal protein L23, hypothetical protein FLJ22104, and serine protease inhibitor, kazal type 6 and a number of 5＇-terminally truncated sequences were identified. Furthermore, cells transfected with ribosomal protein L23 was highly invasive compared with the empty vector as control （P 〈 0.02）. These results indicate that the expression cloning of cDNA libraries in NIH3T3 cells and subsequent screening for loss of contact inhibition in soft agar is a viable tool for identifying tumor-related genes and ribosomal protein L23 gene plays a role in cell movement and metastasis.
基金Supported by The Max Planck Society, National Natural Science Foundation of China, No. 3990177 and 30070838Shaanxi Provincial Board of Public Health Focus Fund, No. 99ZH-002
文摘AIM: To develop a microarray-based prewarning system consisting of gastric cancer chip, prewarning data and analysis software for early detection of gastric cancer and pre-cancerous lesions. METHODS: Two high-density chips with 8 464 human cDNA sites were used to primarily identify potential genes specific for normal gastric mucosa, pre-cancerous lesion and gastric cancer. The low-density chips, composed of selected genes associated with normal gastric mucosa, precancerous lesion and gastric cancer, were fabricated and used to screen 150 specimens including 60 specimens of gastric cancer, 60 of pre-cancerous tissues and 30 of normal gastric mucosa. CAD software was used to screen out the relevant genes and their critical threshold values of expression levels distinguishing normal mucosa from pre-cancerous lesion and cancer. All data were stored in a computer database to establish a prewarning data library for gastric cancer. Two potential markers brcaal and ndr1 were identified by Western blot and immunohistochemistry. RESULTS: A total of 412 genes associated with three stages of gastric cancer development were identified. There were 216 genes displaying higher expression in gastric cancer, 85 genes displaying higher expression in pre-cancerous lesion and 88 genes displaying higher expression in normal gastric mucosa. Also 15 genes associated with metastasis of gastric cancer and 8 genes associated with risk factors were screened out for target genes of diagnosis chip of early gastric cancer. The threshold values of 412 selected genes to distinguish gastric cancer, pre-cancerous lesion from normal gastric mucosa were defined as 6.01±2.40, 4.86±1.94 and 5.42±2.17, respectively. These selected 412 genes and critical threshold values were compiled into an analysis software, which can automatically provide reports by analyzing the results of 412 genes obtained by examining gastric tissues. All data were compiled into a prewarning database for gastric cancer by CGO software. Northern blot and immunohistochemistry analysis confirmed that gene and protein of brcaa1 displayed lower expression in normal gastric mucosa and higher expression in gastric cancer tissues, conversely, ndr1 displayed lower expression in gastric cancer and higher expression in normal gastric mucosa. CONCLUSION: The microarray-based prewarning system for gastric cancer was developed. This system consisted of gastric cancer-associated gene chip, prewarning data and analysis software, which has a high potential for applications in the early detection of gastric cancer. The two potential markers brcaal and ndr1 identified may be used to distinguish cancer status fand non-cancer status.
基金HighTechnologyResearch andDevelopment Program"863" (No.2 0 0 2 AA4114 2 0 )National NaturalScienceFoundation of China (No.60 3 740 71)
文摘The goal of this paper is to take a further step towards an ontological approach for representing requirements information. The motivation for ontologies was discussed. The definitions of ontology and requirements ontology were given. Then, it presented a collection of informal terms, including four subject areas. It also discussed the formalization process of ontology. The underlying meta-ontology was determined, and the formalized requirements ontology was analyzed. This formal ontology is built to serve as a basis for requirements model. Finally, the implementation of software system was given.
文摘The main purpose of current study is development of an intelligent model for estimation of shear wave velocity in limestone. Shear wave velocity is one of the most important rock dynamic parameters. Because rocks have complicated structure, direct determination of this parameter takes time, spends expenditure and requires accuracy. On the other hand, there are no precise equations for indirect determination of it; most of them are empirical. By using data sets of several dams of Iran and neuro-genetic, adaptive neuro-fuzzy inference system （ANFIS）, and gene expression programming （GEP） methods, models are rendered for prediction of shear wave velocity in limestone. Totally, 516 sets of data has been used for modeling. From these data sets, 413 ones have been utilized for building the intelligent model, and 103 have been used for their performance evaluation. Compressional wave velocity （Vp）, density （7） and porosity （.n）, were considered as input parameters. Respectively, the amount of R for neuro-genetic and ANFIS networks was 0.959 and 0.963. In addition, by using GEP, three equations are obtained; the best of them has 0.958R. ANFIS shows the best prediction results, whereas GEP indicates proper equations. Because these equations have accuracy, they could be used for prediction of shear wave velocity for limestone in the future.
基金Supported by Henan Province Outstanding Youth Science Foundation (No:0312002200)
文摘OBJECTIVE:To observe the effects of Xuesetong Soft Capsules(血塞通软胶囊,Notoginseng total saponin) on angiogenesis and vascular endothelial growth factor(VEGF) mRNA expression in ischemic myocardium of rats with myocardial infarction.METHODS:The left coronary artery of rats was ligated to establish the animal model of acute myocardial infarction.Rats were randomly divided into Xuesetong Soft Capsule,Shexiangbaoxin Pill(positive control),model(negative control) and sham operation groups.After 6 weeks,microvessel count(MVC),microvessel density(MVD) and VEGF mRNA expressioninischemicmyoc ardium were evaluated.RESULTS:MVC and MVD in the myocardial infarct border area in model,Shexiangbaoxin Pill and Xuesetong Soft Capsule groups significantly increased compared with those of the sham operation group(P<0.05).MVC and MVD in the myocardial infarct border area in Xuesetong Soft Capsule and Shexiangbaoxin Pill groups significantly increased compared with those of the model group(P<0.05).No significant differences between Xuesetong Soft Capsule and Shexiangbaoxin Pill groups were observed(P>0.05).The model group showed signifi-cantly higher VEGF mRNA expression than that in the sham operation group(P<0.05).Xuesetong Soft Capsule and Shexiangbaoxin Pill groups showed significantly higher VEGF mRNA expression than that of the model group(P<0.05).No significant difference between Xuesetong Soft Capsule and the Shexiangbaoxin Pill groups was observed(P>0.05).CONCLUSION:Xuesetong Soft Capsules promote angiogenesis in ischemic myocardium after myocardial infarction and the mechanism may be associated withVEGF mRNA expression.
