A DH population derived from C49S-87/01Y1-1069 was used to study the inheritance of wheat haploid embryo production frequency（EPF） in wheat × maize cross with the mixed major gene and polygene inheritance model...A DH population derived from C49S-87/01Y1-1069 was used to study the inheritance of wheat haploid embryo production frequency（EPF） in wheat × maize cross with the mixed major gene and polygene inheritance model of quantitative traits. The results showed that the EPF of wheat × maize cross was controlled by two dominant epistatic genes and polygene with gene effects of 1.95 for the first major gene, 6.69 for the second one and 2.80 for the polygene. The inheritability of major genes was as high as 72.09%, suggesting that the differences in EPF among wheat materials were mainly influenced by genotype. However, non-genetic factors were still important, especially for wheat materials with low EPF.展开更多
Epidemiological studies have provided overwhelming evidence for a causal role of chronic hepatitis B virus(HBV) infection in the development of hepatocellular carcinoma(HCC).However,the pathogenesis of HBV infection a...Epidemiological studies have provided overwhelming evidence for a causal role of chronic hepatitis B virus(HBV) infection in the development of hepatocellular carcinoma(HCC).However,the pathogenesis of HBV infection and carcinogenesis of HBV-associated HCC are still elusive.This review will summarize the current knowledge on the mechanisms involved in HBV-related liver carcinogenesis.The role of HBV in tumor formation appears to be complex,and may involve both direct and indirect mechanisms.Integration of HBV DNA into the host genome occurs at early steps of clonal tumor expansion,and it has been shown to enhance the host chromosomal instability,leading to large inverted duplications,deletions and chromosomal translocations.It has been shown that the rate of chromosomal alterations is increased significantly in HBV-related tumors.Prolonged expression of the viral regulatory HBV x protein may contribute to regulating cellular transcription,protein degradation,proliferation,and apoptotic signaling pathways,and it plays a critical role in the development of hepatocellular carcinoma.展开更多
Based on specific host-guest interactions between amine-modified [3-cyclodextrin （CD-TAEA） and functional adamantane （AD） derivatives, a module-template strategy has been proposed for the construction of low-molec...Based on specific host-guest interactions between amine-modified [3-cyclodextrin （CD-TAEA） and functional adamantane （AD） derivatives, a module-template strategy has been proposed for the construction of low-molecular-weight cationic assem- blies for gene transport. This strategy offers great flexibility in terms of the introduction of mono- or multi-functionality by the inclusion of one or more adamantane-based modules with the desired functionalities. As proof of concept, phenylboronic acid （PB） containing adamantane （PB-AD） was used as a model module in the hope of offering enhanced cytosolic delivery in con- sideration of the special affinity of PB groups with cell membranes. The physicochemical properties of the complexes formed with plasmid DNA, such as particle size, zeta potential and morphology were investigated. Confocal laser scanning microsco- py and flow cytometry experiments demonstrated the important contribution of the functional PB-AD module to the consider- ably enhanced intracellular internalization and uptake by cellular nuclei. Compared to the parent CD-TAEA, PB-AD/CD- TAEA assemblies mediated higher transfection rates, which were even comparable to that of PEI25K. In addition, PB-AD/CD- TAEA displayed much lower cytotoxicity than PEI25K in both 293T and HeLa cell lines. The encouraging results suggest that CD-TAEA can be developed as a powerful template capable of readily accommodating various AD-based modules giving versatile functionalities for improved transfection.展开更多
Materials informatics has emerged as a promisingly new paradigm for accelerating materials discovery and design.It exploits the intelligent power of machine learning methods in massive materials data from experiments ...Materials informatics has emerged as a promisingly new paradigm for accelerating materials discovery and design.It exploits the intelligent power of machine learning methods in massive materials data from experiments or simulations to seek new materials,functionality,and principles,etc.Developing specialized facilities to generate,collect,manage,learn,and mine large-scale materials data is crucial to materials informatics.We herein developed an artificial-intelligence-aided data-driven infrastructure named Jilin Artificial-intelligence aided Materials-design Integrated Package(JAMIP),which is an open-source Python framework to meet the research requirements of computational materials informatics.It is integrated by materials production factory,high-throughput first-principles calculations engine,automatic tasks submission and monitoring progress,data extraction,management and storage system,and artificial intelligence machine learning based data mining functions.We have integrated specific features such as an inorganic crystal structure prototype database to facilitate high-throughput calculations and essential modules associated with machine learning studies of functional materials.We demonstrated how our developed code is useful in exploring materials informatics of optoelectronic semiconductors by taking halide perovskites as typical case.By obeying the principles of automation,extensibility,reliability,and intelligence,the JAMIP code is a promisingly powerful tool contributing to the fast-growing field of computational materials informatics.展开更多
基金Supported by National High Technology Research and Development Program of China(863 Program)(2011AA10A106)Yunnan Provincial Fund for Applied Basic Researches(2010CC001)Key New Product Development Plan of Yunnan Province(2012BB015)~~
文摘A DH population derived from C49S-87/01Y1-1069 was used to study the inheritance of wheat haploid embryo production frequency（EPF） in wheat × maize cross with the mixed major gene and polygene inheritance model of quantitative traits. The results showed that the EPF of wheat × maize cross was controlled by two dominant epistatic genes and polygene with gene effects of 1.95 for the first major gene, 6.69 for the second one and 2.80 for the polygene. The inheritability of major genes was as high as 72.09%, suggesting that the differences in EPF among wheat materials were mainly influenced by genotype. However, non-genetic factors were still important, especially for wheat materials with low EPF.
文摘Epidemiological studies have provided overwhelming evidence for a causal role of chronic hepatitis B virus(HBV) infection in the development of hepatocellular carcinoma(HCC).However,the pathogenesis of HBV infection and carcinogenesis of HBV-associated HCC are still elusive.This review will summarize the current knowledge on the mechanisms involved in HBV-related liver carcinogenesis.The role of HBV in tumor formation appears to be complex,and may involve both direct and indirect mechanisms.Integration of HBV DNA into the host genome occurs at early steps of clonal tumor expansion,and it has been shown to enhance the host chromosomal instability,leading to large inverted duplications,deletions and chromosomal translocations.It has been shown that the rate of chromosomal alterations is increased significantly in HBV-related tumors.Prolonged expression of the viral regulatory HBV x protein may contribute to regulating cellular transcription,protein degradation,proliferation,and apoptotic signaling pathways,and it plays a critical role in the development of hepatocellular carcinoma.
基金supported by the National Basic Research Program of China(2011CB606202)the National Natural Science Foundation of China(21174110)+1 种基金the Ministry of Education of China(20120141130003)the Fundamental Research Funds for the Central Universities(2012203020210)
文摘Based on specific host-guest interactions between amine-modified [3-cyclodextrin （CD-TAEA） and functional adamantane （AD） derivatives, a module-template strategy has been proposed for the construction of low-molecular-weight cationic assem- blies for gene transport. This strategy offers great flexibility in terms of the introduction of mono- or multi-functionality by the inclusion of one or more adamantane-based modules with the desired functionalities. As proof of concept, phenylboronic acid （PB） containing adamantane （PB-AD） was used as a model module in the hope of offering enhanced cytosolic delivery in con- sideration of the special affinity of PB groups with cell membranes. The physicochemical properties of the complexes formed with plasmid DNA, such as particle size, zeta potential and morphology were investigated. Confocal laser scanning microsco- py and flow cytometry experiments demonstrated the important contribution of the functional PB-AD module to the consider- ably enhanced intracellular internalization and uptake by cellular nuclei. Compared to the parent CD-TAEA, PB-AD/CD- TAEA assemblies mediated higher transfection rates, which were even comparable to that of PEI25K. In addition, PB-AD/CD- TAEA displayed much lower cytotoxicity than PEI25K in both 293T and HeLa cell lines. The encouraging results suggest that CD-TAEA can be developed as a powerful template capable of readily accommodating various AD-based modules giving versatile functionalities for improved transfection.
基金supported by the National Natural Science Foundation of China(61722403,92061113,and 12004131)the Interdisciplinary Research Grant for Ph Ds of Jilin University(101832020DJX043)。
文摘Materials informatics has emerged as a promisingly new paradigm for accelerating materials discovery and design.It exploits the intelligent power of machine learning methods in massive materials data from experiments or simulations to seek new materials,functionality,and principles,etc.Developing specialized facilities to generate,collect,manage,learn,and mine large-scale materials data is crucial to materials informatics.We herein developed an artificial-intelligence-aided data-driven infrastructure named Jilin Artificial-intelligence aided Materials-design Integrated Package(JAMIP),which is an open-source Python framework to meet the research requirements of computational materials informatics.It is integrated by materials production factory,high-throughput first-principles calculations engine,automatic tasks submission and monitoring progress,data extraction,management and storage system,and artificial intelligence machine learning based data mining functions.We have integrated specific features such as an inorganic crystal structure prototype database to facilitate high-throughput calculations and essential modules associated with machine learning studies of functional materials.We demonstrated how our developed code is useful in exploring materials informatics of optoelectronic semiconductors by taking halide perovskites as typical case.By obeying the principles of automation,extensibility,reliability,and intelligence,the JAMIP code is a promisingly powerful tool contributing to the fast-growing field of computational materials informatics.
