An optimized recombinant HPV16 E6E7 fusion gene (HPV16 ofE6E7) was constructed according to codon usage for mammalian cell expression, and a mutant of HPV16 ofE6E7 fusion gene (HPV16 omfE6E7) was generated by site-dir...An optimized recombinant HPV16 E6E7 fusion gene (HPV16 ofE6E7) was constructed according to codon usage for mammalian cell expression, and a mutant of HPV16 ofE6E7 fusion gene (HPV16 omfE6E7) was generated by site-directed mutagenesis at L57G, C113R for the E6 protein and C24G, E26G for the E7 protein for HPV16 ofE6E7 [patent pending (CN 101100672)]. The HPV16 omfE6E7 gene constructed in this work not only lost the transformation capability to NIH 3T3 cells and tumorigenicity in SCID mice, but also maintained very good stability and antigenicity. These results suggests that the HPV16 omfE6E7 gene should undergo further study for application as a safe antigen-specific therapeutic vaccine for HPV16-associated tumors.展开更多
In this study,a Neural Network-Enhanced Gene Modification Optimization Technique was introduced for multiobjective energy resource management.Addressing the need for sustainable energy solutions,this technique integra...In this study,a Neural Network-Enhanced Gene Modification Optimization Technique was introduced for multiobjective energy resource management.Addressing the need for sustainable energy solutions,this technique integrated neural network models as fitness functions,representing an advancement in artificial intelligencedriven optimization.Data collected in the European Union covered greenhouse gas emissions,energy consumption by sources,energy imports,and Levelized Cost of Energy.Since different configurations of energy consumption by sources lead to varying greenhouse gas emissions,costs,and imports,neural network prediction models were used to project the effect of new energy combinations on these variables.The projections were then fed into the gene modification optimization process to identify optimal configurations.Over 28 generations,simulations demonstrated a 46 percent reduction in energy costs and a 9 percent decrease in emissions.Human bias and subjectivity were mitigated by automating parameter settings,enhancing the objectivity of results.Benchmarking against traditional methods,such as Euclidean Distance,validated the superior performance of this approach.Furthermore,the technique’s ability to visualize chromosomes and gene values offered clarity in optimization processes.These results suggest significant advancements in the energy sector and potential applications in other industries,contributing to the global effort to combat climate change.展开更多
Orphan crops hold significant potential for global food security,particularly in addressing climate change,population growth,and demands for nutritional diversity.This review comprehensively summarizes recent advances...Orphan crops hold significant potential for global food security,particularly in addressing climate change,population growth,and demands for nutritional diversity.This review comprehensively summarizes recent advances in genomic research and genetic improvement of orphan crops,exploring how enhanced yield,stress resilience,and nutritional value can address global food challenges.Studies reveal that orphan crops possess rich genetic diversity,enabling the identification and optimization of key genes through genome sequencing,gene editing(e.g.,CRISPR/Cas9),and conventional breeding to improve critical agronomic traits.The paper synthesizes the characteristics of genetic resources,progress in traditional breeding,discovery of advantageous genes,and improvement strategies in the whole-genome era,while also analyzing their linkages to human health and current challenges.The research underscores that the development and utilization of orphan crops offer innovative strategies for achieving sustainable agriculture and'Zero Hunger'posed by the United Nations,despite remaining hurdles such as insufficient research investment and limited market adoption.展开更多
基金National 863 Program(2007AA021107)Beijing Municipal Commission of Education Research Projects(KM201010005008)Doctoral Start-up Foundation of Beijing University of Technology
文摘An optimized recombinant HPV16 E6E7 fusion gene (HPV16 ofE6E7) was constructed according to codon usage for mammalian cell expression, and a mutant of HPV16 ofE6E7 fusion gene (HPV16 omfE6E7) was generated by site-directed mutagenesis at L57G, C113R for the E6 protein and C24G, E26G for the E7 protein for HPV16 ofE6E7 [patent pending (CN 101100672)]. The HPV16 omfE6E7 gene constructed in this work not only lost the transformation capability to NIH 3T3 cells and tumorigenicity in SCID mice, but also maintained very good stability and antigenicity. These results suggests that the HPV16 omfE6E7 gene should undergo further study for application as a safe antigen-specific therapeutic vaccine for HPV16-associated tumors.
基金Open Access funding provided by Hungarian Electronic Information Services National Programme(EISZ)-Corvinus University of Budapest。
文摘In this study,a Neural Network-Enhanced Gene Modification Optimization Technique was introduced for multiobjective energy resource management.Addressing the need for sustainable energy solutions,this technique integrated neural network models as fitness functions,representing an advancement in artificial intelligencedriven optimization.Data collected in the European Union covered greenhouse gas emissions,energy consumption by sources,energy imports,and Levelized Cost of Energy.Since different configurations of energy consumption by sources lead to varying greenhouse gas emissions,costs,and imports,neural network prediction models were used to project the effect of new energy combinations on these variables.The projections were then fed into the gene modification optimization process to identify optimal configurations.Over 28 generations,simulations demonstrated a 46 percent reduction in energy costs and a 9 percent decrease in emissions.Human bias and subjectivity were mitigated by automating parameter settings,enhancing the objectivity of results.Benchmarking against traditional methods,such as Euclidean Distance,validated the superior performance of this approach.Furthermore,the technique’s ability to visualize chromosomes and gene values offered clarity in optimization processes.These results suggest significant advancements in the energy sector and potential applications in other industries,contributing to the global effort to combat climate change.
文摘Orphan crops hold significant potential for global food security,particularly in addressing climate change,population growth,and demands for nutritional diversity.This review comprehensively summarizes recent advances in genomic research and genetic improvement of orphan crops,exploring how enhanced yield,stress resilience,and nutritional value can address global food challenges.Studies reveal that orphan crops possess rich genetic diversity,enabling the identification and optimization of key genes through genome sequencing,gene editing(e.g.,CRISPR/Cas9),and conventional breeding to improve critical agronomic traits.The paper synthesizes the characteristics of genetic resources,progress in traditional breeding,discovery of advantageous genes,and improvement strategies in the whole-genome era,while also analyzing their linkages to human health and current challenges.The research underscores that the development and utilization of orphan crops offer innovative strategies for achieving sustainable agriculture and'Zero Hunger'posed by the United Nations,despite remaining hurdles such as insufficient research investment and limited market adoption.
