Functional analysis of control genes is playing an important role in animal development.The research is mainly focused on developing a method of estimating the gene's effect or function in the development of anima...Functional analysis of control genes is playing an important role in animal development.The research is mainly focused on developing a method of estimating the gene's effect or function in the development of animals.In this article,the gene's expression and control are described by models of quantitative genetics,which include the genetic models about the genes with no interaction and interaction effect.On this basis,a method analyzing the functions of control genes in batches is advanced,the method includes three steps as follows: Firstly,describe the gene's expression and control with multiple regression models in statistic method in different conditions.Secondly,collect the material of gene's polymorphism related to the gene's expression and control.Because,gene's polymorphism or the codominant molecular marker electropherogram in a gene locus present 3 states,and can be expressed with -1,0 and 1 respectively.The author thinks it can be regarded as levels in orthogonal layout.Discard the materials of gene's polymorphism not fitting the orthogonal layout,and use the materials of gene's polymorphism fitting the orthogonal layout as the data to estimate the gene's effects.Thirdly,analyze the gene's effect or function with equations as follows:suppose that a quantitative trait is controlled by N gene loci,in each locus there are two alleles,the alleles' effects are A GM1 ?a GM1 ;A GM2 ? a GM2 ;...;A GMi ?a GMi ;...;A GMN ;a GMN units respectively.When the genotype in a locus is heterozygous A GMi a GMi ,the interaction coefficient of alleles in a locus is K units.If there is no interaction among different gene loci,the author thinks,the gene's effects and gene's type can be estimated by using such equation: P GM =2∑Ni=1(A i-a i+K i)+∑Ni=1(A i-a i)M GMi -∑Ni=1K GMi M GMi 2 If there are interactions among different gene loci,and the effect of the x th gene's state combined with the y th gene's state in the k th gene group is defined as Y xyr ,and let gene group electropherogram states be r (where r∈ ),the author thinks,the gene group's effects can be estimated by the equation: Y xyr = K PCxy0 +K PCxy r+K PCxy' r 2+K PCxy'' 3+K PCxy(3') r 4+K PCxy(4') r 5+K PCxy(5') r 6+K PCxy(6') r 7+K PCxy(7') r 8 If there are interactions among more genes,the analogous method can also be used. In this way,be using the gene's codominent marker materials fitting the orthogonal layout,the gene's expression and control can be researched by the method of multiple regression,the gene's relative effect can be estimated,the overdominant gene's overdominant coefficient can be assessed,the gene's type can be identified,the interaction gene group's relative effect and the interaction gene's relation can be estimated as well,and furthermore,the gene's relation can be expressed in equations.For the sake of understanding the method used in this paper,the rout to prove it is given as well.Finally,the author thinks,this method is very useful to research the gene's function in molecular developmental biology.展开更多
Objective To evaluate the expression and function activity of P-glycoprotein (P-gp) in human mononuclear cells (MNCs) in vitro transfected by multidrug resistance-1(MDR1) mRNA. Methods Two MDR1 cDNA vectors, pT7TS_MDR...Objective To evaluate the expression and function activity of P-glycoprotein (P-gp) in human mononuclear cells (MNCs) in vitro transfected by multidrug resistance-1(MDR1) mRNA. Methods Two MDR1 cDNA vectors, pT7TS_MDR1 and pGEM5Zf(+)_MDR1, were constructed and transcripted in vitro. Vector pGEM5Zf(+)_MDR1 only contained the coding region of mdr1 cDNA, and pT7TS_MDR1 also included Xeponus β-globin 5’ and 3’ untranslated region. MNCs were prepared from peripheral blood of parvicellular lung cancer patient. The two human mdr1 mRNAs were then transferred into human MNCs in vitro by DOTAP. And the expression efficiency and pump function of P-gp were measured with flow cytometry. Results Expression of P-gp significantly elevated in both transferred cells compared with untransferred cells (P < 0.01). And pT7TS_MDR1 showed higher capability in elevating the expression of P-gp than pGEM5Zf(+)_MDR1 (P < 0.01). The P-gp function was elevated in both pT7TS_MDR1 and pGEM5Zf(+)_MDR1 groups. The survival ratio of MNCs in erythrocyte-lysis-solution (ELS, 86.07%) and lymphocyte-isolation-solution (LIS, 83.67%) had no significant difference. The CD34+ cells content of the MNCs used for transfection was 2.65% and 1.01% in ELS and LIS group, respectively (P < 0.01).Conclusions It is a feasible approach to improve P-gp expression in human MNCs by transfection of MDR-1 mRNA. And the ELS may be more suitable for purifing MNCs for mRNA transfection than LIS.展开更多
A novel quantitative structure-property relationship （QSPR） model for estimating the solution surface tension of 92 organic compounds at 20℃ was developed based on newly introduced atom-type topological indices. Th...A novel quantitative structure-property relationship （QSPR） model for estimating the solution surface tension of 92 organic compounds at 20℃ was developed based on newly introduced atom-type topological indices. The data set contained non-polar and polar liquids, and saturated and unsaturated compounds. The regression analysis shows that excellent result is obtained with multiple linear regression. The predictive power of the proposed model was discussed using the leave-one-out （LOO） cross-validated （CV） method. The correlation coefficient （R） and the leave-one-out cross-validation correlation coefficient （Rcv） of multiple linear regression model are 0.991 4 and 0.991 3, respectively. The new model gives the average absolute relative deviation of 1.81% for 92 substances. The result demonstrates that novel topological indices based on the equilibrium electro-negativity of atom and the relative bond length are useful model parameters for QSPR analysis of compounds.展开更多
This study focuses on the influence of weather and climate on malaria occurrence based on human-biometeorological methods was carried out in Ondo State, Nigeria using meteorological and malaria dataset in the state fo...This study focuses on the influence of weather and climate on malaria occurrence based on human-biometeorological methods was carried out in Ondo State, Nigeria using meteorological and malaria dataset in the state for the period from 1998 to 2008. In addition, sea surface temperatures （SSTs） over equatorial Pacific Ocean were integrated in the analysis. The association between each of the meteorological-biometeorological parameters and clinical-reported malaria cases was examined by using Poisson distribution and log as link function between the two categories of dataset. The next step was the building of a model by using Poisson multiple regression models （GLMs） in order to know the weather variables that lead to statistically changes in clinical-reported malaria cases. The study revealed that an increase of I m.s1 of wind speed can lead to an increase of about 164% and 171% in the monthly occurrence of malaria at 95% confidence interval in derived savanna and humid forest zone respectively. Also, an increase of I ℃ in air temperature and sea surface temperature is associated with 53.4% and 29% increase in monthly malaria occurrence （CI： 95%） in derived savanna while an increase of 1 ℃ in air temperature and sea surface temperature is associated with 56.4% and 15.4% increase in monthly malaria occurrence at 95% confidence interval in humid forest zone of Ondo State展开更多
Large-scale accounting scandals which were reflected to the world public opinion particularly in the 2000s （such as Enron, Lucent, Xerox, and Parmalat Bank for Reconstruction） carried the matter of fraudulent financ...Large-scale accounting scandals which were reflected to the world public opinion particularly in the 2000s （such as Enron, Lucent, Xerox, and Parmalat Bank for Reconstruction） carried the matter of fraudulent financial reporting which was made to deceive the financial statement users （Fraudulent Financial Report （FFR）） to the forefront in the agenda of the academicians, operators, and regulatory authorities. As in every crime action, the most effective measure to be taken in preventing FFR events is to try to prevent the FFR before arising. In order to achieve this, in the most effective manner, FFR events should be determined in the formation process. In this study, fraudulent financial statements are tried to be determined by using financial ratios. For this, financial statements of 22 companies which transact in the textile industry in Istanbul Stock Exchange （ISE） were examined. Twenty-three financial ratios were selected for the purpose of determining the risk of fraudulence in the financial statements of the selected companies. These ratios increased in value by multiple regression analysis. The findings which were obtained in the study indicated that some financial statements had the risk of fraudulence. It was concluded that the ratios of inventory/current asset, total debt ratio, and equity turnover rate were a good indicator in the determination of fraudulent financial statements.展开更多
Flash point is a primary property used to determine the fire and explosion hazards of a liquid. New group contribution-based models were presented for estimation of the flash point of alkanes by the use of multiple li...Flash point is a primary property used to determine the fire and explosion hazards of a liquid. New group contribution-based models were presented for estimation of the flash point of alkanes by the use of multiple linear regression(MLR)and artificial neural network(ANN). This simple linear model shows a low average relative deviation(AARD) of 2.8% for a data set including 50(40 for training set and 10 for validation set) flash points. Furthermore, the predictive ability of the model was evaluated using LOO cross validation. The results demonstrate ANN model is clearly superior both in fitness and in prediction performance.ANN model has only the average absolute deviation of 2.9 K and the average relative deviation of 0.72%.展开更多
文摘Functional analysis of control genes is playing an important role in animal development.The research is mainly focused on developing a method of estimating the gene's effect or function in the development of animals.In this article,the gene's expression and control are described by models of quantitative genetics,which include the genetic models about the genes with no interaction and interaction effect.On this basis,a method analyzing the functions of control genes in batches is advanced,the method includes three steps as follows: Firstly,describe the gene's expression and control with multiple regression models in statistic method in different conditions.Secondly,collect the material of gene's polymorphism related to the gene's expression and control.Because,gene's polymorphism or the codominant molecular marker electropherogram in a gene locus present 3 states,and can be expressed with -1,0 and 1 respectively.The author thinks it can be regarded as levels in orthogonal layout.Discard the materials of gene's polymorphism not fitting the orthogonal layout,and use the materials of gene's polymorphism fitting the orthogonal layout as the data to estimate the gene's effects.Thirdly,analyze the gene's effect or function with equations as follows:suppose that a quantitative trait is controlled by N gene loci,in each locus there are two alleles,the alleles' effects are A GM1 ?a GM1 ;A GM2 ? a GM2 ;...;A GMi ?a GMi ;...;A GMN ;a GMN units respectively.When the genotype in a locus is heterozygous A GMi a GMi ,the interaction coefficient of alleles in a locus is K units.If there is no interaction among different gene loci,the author thinks,the gene's effects and gene's type can be estimated by using such equation: P GM =2∑Ni=1(A i-a i+K i)+∑Ni=1(A i-a i)M GMi -∑Ni=1K GMi M GMi 2 If there are interactions among different gene loci,and the effect of the x th gene's state combined with the y th gene's state in the k th gene group is defined as Y xyr ,and let gene group electropherogram states be r (where r∈ ),the author thinks,the gene group's effects can be estimated by the equation: Y xyr = K PCxy0 +K PCxy r+K PCxy' r 2+K PCxy'' 3+K PCxy(3') r 4+K PCxy(4') r 5+K PCxy(5') r 6+K PCxy(6') r 7+K PCxy(7') r 8 If there are interactions among more genes,the analogous method can also be used. In this way,be using the gene's codominent marker materials fitting the orthogonal layout,the gene's expression and control can be researched by the method of multiple regression,the gene's relative effect can be estimated,the overdominant gene's overdominant coefficient can be assessed,the gene's type can be identified,the interaction gene group's relative effect and the interaction gene's relation can be estimated as well,and furthermore,the gene's relation can be expressed in equations.For the sake of understanding the method used in this paper,the rout to prove it is given as well.Finally,the author thinks,this method is very useful to research the gene's function in molecular developmental biology.
文摘Objective To evaluate the expression and function activity of P-glycoprotein (P-gp) in human mononuclear cells (MNCs) in vitro transfected by multidrug resistance-1(MDR1) mRNA. Methods Two MDR1 cDNA vectors, pT7TS_MDR1 and pGEM5Zf(+)_MDR1, were constructed and transcripted in vitro. Vector pGEM5Zf(+)_MDR1 only contained the coding region of mdr1 cDNA, and pT7TS_MDR1 also included Xeponus β-globin 5’ and 3’ untranslated region. MNCs were prepared from peripheral blood of parvicellular lung cancer patient. The two human mdr1 mRNAs were then transferred into human MNCs in vitro by DOTAP. And the expression efficiency and pump function of P-gp were measured with flow cytometry. Results Expression of P-gp significantly elevated in both transferred cells compared with untransferred cells (P < 0.01). And pT7TS_MDR1 showed higher capability in elevating the expression of P-gp than pGEM5Zf(+)_MDR1 (P < 0.01). The P-gp function was elevated in both pT7TS_MDR1 and pGEM5Zf(+)_MDR1 groups. The survival ratio of MNCs in erythrocyte-lysis-solution (ELS, 86.07%) and lymphocyte-isolation-solution (LIS, 83.67%) had no significant difference. The CD34+ cells content of the MNCs used for transfection was 2.65% and 1.01% in ELS and LIS group, respectively (P < 0.01).Conclusions It is a feasible approach to improve P-gp expression in human MNCs by transfection of MDR-1 mRNA. And the ELS may be more suitable for purifing MNCs for mRNA transfection than LIS.
基金Projects(20775010,21075011) supported by the National Natural Science Foundation of ChinaProject(2008AA05Z405) supported by the National High Technology Research and Development Program of China+2 种基金Project(09JJ3016) supported by Hunan Provincial Natural Science Foundation,ChinaProject(09C066) supported by Scientific Research Fund of Hunan Provincial Education Department,ChinaProject(2010CL01) supported by the Foundation of Hunan Provincial Key Laboratory of Materials Protection for Electric Power and Transportation,China
文摘A novel quantitative structure-property relationship （QSPR） model for estimating the solution surface tension of 92 organic compounds at 20℃ was developed based on newly introduced atom-type topological indices. The data set contained non-polar and polar liquids, and saturated and unsaturated compounds. The regression analysis shows that excellent result is obtained with multiple linear regression. The predictive power of the proposed model was discussed using the leave-one-out （LOO） cross-validated （CV） method. The correlation coefficient （R） and the leave-one-out cross-validation correlation coefficient （Rcv） of multiple linear regression model are 0.991 4 and 0.991 3, respectively. The new model gives the average absolute relative deviation of 1.81% for 92 substances. The result demonstrates that novel topological indices based on the equilibrium electro-negativity of atom and the relative bond length are useful model parameters for QSPR analysis of compounds.
文摘This study focuses on the influence of weather and climate on malaria occurrence based on human-biometeorological methods was carried out in Ondo State, Nigeria using meteorological and malaria dataset in the state for the period from 1998 to 2008. In addition, sea surface temperatures （SSTs） over equatorial Pacific Ocean were integrated in the analysis. The association between each of the meteorological-biometeorological parameters and clinical-reported malaria cases was examined by using Poisson distribution and log as link function between the two categories of dataset. The next step was the building of a model by using Poisson multiple regression models （GLMs） in order to know the weather variables that lead to statistically changes in clinical-reported malaria cases. The study revealed that an increase of I m.s1 of wind speed can lead to an increase of about 164% and 171% in the monthly occurrence of malaria at 95% confidence interval in derived savanna and humid forest zone respectively. Also, an increase of I ℃ in air temperature and sea surface temperature is associated with 53.4% and 29% increase in monthly malaria occurrence （CI： 95%） in derived savanna while an increase of 1 ℃ in air temperature and sea surface temperature is associated with 56.4% and 15.4% increase in monthly malaria occurrence at 95% confidence interval in humid forest zone of Ondo State
文摘Large-scale accounting scandals which were reflected to the world public opinion particularly in the 2000s （such as Enron, Lucent, Xerox, and Parmalat Bank for Reconstruction） carried the matter of fraudulent financial reporting which was made to deceive the financial statement users （Fraudulent Financial Report （FFR）） to the forefront in the agenda of the academicians, operators, and regulatory authorities. As in every crime action, the most effective measure to be taken in preventing FFR events is to try to prevent the FFR before arising. In order to achieve this, in the most effective manner, FFR events should be determined in the formation process. In this study, fraudulent financial statements are tried to be determined by using financial ratios. For this, financial statements of 22 companies which transact in the textile industry in Istanbul Stock Exchange （ISE） were examined. Twenty-three financial ratios were selected for the purpose of determining the risk of fraudulence in the financial statements of the selected companies. These ratios increased in value by multiple regression analysis. The findings which were obtained in the study indicated that some financial statements had the risk of fraudulence. It was concluded that the ratios of inventory/current asset, total debt ratio, and equity turnover rate were a good indicator in the determination of fraudulent financial statements.
基金Projects(21376031,21075011)supported by the National Natural Science Foundation of ChinaProject(2012GK3058)supported by the Foundation of Hunan Provincial Science and Technology Department,China+2 种基金Project supported by the Postdoctoral Science Foundation of Central South University,ChinaProject(2014CL01)supported by the Foundation of Hunan Provincial Key Laboratory of Materials Protection for Electric Power and Transportation,ChinaProject supported by the Innovation Experiment Program for University Students of Changsha University of Science and Technology,China
文摘Flash point is a primary property used to determine the fire and explosion hazards of a liquid. New group contribution-based models were presented for estimation of the flash point of alkanes by the use of multiple linear regression(MLR)and artificial neural network(ANN). This simple linear model shows a low average relative deviation(AARD) of 2.8% for a data set including 50(40 for training set and 10 for validation set) flash points. Furthermore, the predictive ability of the model was evaluated using LOO cross validation. The results demonstrate ANN model is clearly superior both in fitness and in prediction performance.ANN model has only the average absolute deviation of 2.9 K and the average relative deviation of 0.72%.
