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Ye Zhang,Li Wang,Wei Sun,Yue-hua Hu,Honghu Tang 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.81 No.-
Recent years have seen rapid improvement of technology and large-scale applications of lithium-ionbatteries, which leads to an increasing market demand for lithium. Since the land lithium resources arediminishing drastically, the sources of lithium extraction have shifted to the large amount of waterresources containing salt-lake brines and seawater. Among the varieties of aqueous recovery approaches,membrane technology seems to have huge development potential and good application prospect. This isbecause the membrane technologies exhibit excellent Li/Mg separation selectivity, with low energyconsumption and green process owing to no addition of chemicals. The present work reviews the latestadvances in various membrane technologies, including nanofiltration membrane, electrodialysis,membrane capacitive deionization approaches, solid electrolyte electrolysis-based technology, etc. Therecent developments in positively charged nanofiltration membrane are discussed in terms of thepreparation methods, membrane properties, and Li/Mg separation coefficient. In addition, the effects ofseveral factors on electrodialysis for lithium extraction and relevant mechanisms in both simple andactual saline systems are discussed, including applied voltage, VC/VD, and coexisting ions. Theapplications of electrodialysis with novel selective membrane involving nanofiltration membrane as wellas solid electrolyte membrane and perspectives for further investigation are proposed.
Yue-Hua Han,Wen-Zhong Liu,Yao-Zhou Shi,Li-Qiong Lu,Shudong Xiao,Qing-Hua Zhang,Guo-Ping Zhao 한국미생물학회 2007 The journal of microbiology Vol.45 No.1
In order to search for specific genotypes related to this unique phenotype, we used whole genomic DNA microarray to characterize the genomic diversity of Helicobacter pylori (H. pylori) strains isolated from clinical patients in China.The open reading frame (ORF) fragments on our microarray were generated by PCR using gene-specific primers. Genomic DNA of H. pylori 26695 and J99 were used as templates. Thirty-four H. pylori isolates were obtained from patients in Shanghai. Results were judged based on ln(x) transformed and normalized Cy3/Cy5 ratios. Our microarray included 1882 DNA fragments corresponding to 1636 ORFs of both sequenced H. pylori strains. Cluster analysis, revealed two diverse regions in the H. pylori genome that were not present in other isolates. Among the 1636 genes, 1091 (66.7%) were common to all H. pylori strains, representing the functional core of the genome. Most of the genes found in the H. pylori functional core were responsible for metabolism, cellular processes, transcription and biosynthesis of amino acids, functions that are essential to H. pylori’s growth and colonization in its host. In contrast, 522(31.9%) genes were strain-specific genes that were missing from at least one strain of H. pylori. Strainspecific genes primarily included restriction modification system components, transposase genes, hypothetical proteins and outer membrane proteins. These strain-specific genes may aid the bacteria under specific circumstances during their long-term infection in genetically diverse hosts. Our results suggest 34 H. pylori clinical strains have extensive genomic diversity. Core genes and strain-specific genes both play essential roles in H. pylori propagation and pathogenesis. Our microarray experiment may help select relatively significant genes for further research on the pathogenicity of H. pylori and development of a vaccine for H. pylori.
Gene Expression Profile of Helicobacter pylori in Response to Growth Temperature Variation
Yue-hua Han,Wen-zhong Liu,Yao-zhou Shi,Li-qiong Lu,Shu-dong Xiao,Qing-hua Zhang 한국미생물학회 2009 The journal of microbiology Vol.47 No.4
A Helicobacter pylori whole-genome DNA microarray was constructed to study expression profiles of H. pylori in response to a sudden temperature transfer from 37°C to 20°C. The expression level of the genome at each of four time points (15, 30, 60, and 120 min) after temperature downshift was compared with that just before cold treatment. Globally, 10.2% (n=167) of the total predicted H. pylori genes (n=1636) represented on the microarray were significantly differentially expressed (p<0.05) over a 120 min period after shift to low temperature. The expression profiles of the differentially expressed genes were grouped, and their expression patterns were validated by quantitative real-time PCR. Up-regulated genes mainly included genes involved in energy metabolism and substance metabolism, cellular processes, protein fate, ribosomal protein genes, and hypothetical protein genes, which indicate the compensational responses of H. pylori to temperature downshift. Those genes play important roles in adaption to temperature downshift of H. pylori. Down-regulation of DNA metabolism genes and cell envelope genes and cellular processes genes may reflect damaged functions under low temperature, which is unfavorable to bacterial infection and propagation. Overall, this time-course study provides new insights into the primary response of H. pylori to a sudden temperature downshift, which allow the bacteria to survive and adapt to the new host environment.
Han, Yue-Hua,Liu, Wen-Zhong,Shi, Yao-Zhou,Lu, Li-Qiong,Xiao, Shudong,Zhang, Qing-Hua,Zhao, Guo-Ping The Microbiological Society of Korea 2007 The journal of microbiology Vol.45 No.1
In order to search for specific genotypes related to this unique phenotype, we used whole genomic DNA microarray to characterize the genomic diversity of Helicobacter pylori (H. pylori) strains isolated from clinical patients in China. The open reading frame (ORF) fragments on our microarray were generated by PCR using gene-specific primers. Genomic DNA of H. pylori 26695 and J99 were used as templates. Thirty-four H. pylori isolates were obtained from patients in Shanghai. Results were judged based on In(x) transformed and normalized Cy3/Cy5 ratios. Our microarray included 1882 DNA fragments corresponding to 1636 ORFs of both sequenced H. pylori strains. Cluster analysis, revealed two diverse regions in the H. pylori genome that were not present in other isolates. Among the 1636 genes, 1091 (66.7%) were common to all H. pylori strains, representing the functional core of the genome. Most of the genes found in the H. pylori functional core were responsible for metabolism, cellular processes, transcription and biosynthesis of amino acids, functions that are essential to H. pylori's growth and colonization in its host. In contrast, 522 (31.9%) genes were strain-specific genes that were missing from at least one strain of H. pylori. Strain-specific genes primarily included restriction modification system components, transposase genes, hypothetical proteins and outer membrane proteins. These strain-specific genes may aid the bacteria under specific circumstances during their long-term infection in genetically diverse hosts. Our results suggest 34 H. pylori clinical strains have extensive genomic diversity. Core genes and strain-specific genes both play essential roles in H. pylori propagation and pathogenesis. Our microarray experiment may help select relatively significant genes for further research on the pathogenicity of H. pylori and development of a vaccine for H. pylori.
ACCURACY OF LAMOST DR1 STELLAR PARAMETERS
GAO, HUA,ZHANG, HUA-WEI,XIANG, MAO-SHENG,HUANG, YANG,LIU, XIAO-WEI,LUO, A-LI,ZHANG, HAO-TONG,WU, YUE,ZHANG, YONG,LI, GUANG-WEI,DU, BING The Korean Astronomical Society 2015 天文學論叢 Vol.30 No.2
We adopt the PASTEL catalog combined with SIMBAD radial velocities as a testing standard to validate the stellar parameters (effective temperature $T_{eff}$, surface gravity log g, metallicity [Fe/H] and radial velocity $V_r$) from the first data release (DR1) of The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) survey. After applying data reduction and temperature constraints to the sample obtained by cross-identification, we compare the stellar parameters from DR1 and PASTEL. The results show that the DR1 results are reliable under certain conditions. We derive a dispersion of 110 K, 0.19 dex, 0.11 dex and $4.91kms^{-1}$ in specified effective temperature ranges, for $T_{eff}$, log g, [Fe/H] and $V_r$ respectively. Systematic errors are negligible except for those of $V_r$. In addition, for stars with PASTEL [Fe/H] < -1:5, the metallicities in DR1 are systematically higher than those in PASTEL.
Identification of Specific Gene Modules in Mouse Lung Tissue Exposed to Cigarette Smoke
Xing, Yong-Hua,Zhang, Jun-Ling,Lu, Lu,Li, De-Guan,Wang, Yue-Ying,Huang, Song,Li, Cheng-Cheng,Zhang, Zhu-Bo,Li, Jian-Guo,Xu, Guo-Shun,Meng, Ai-Min Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.10
Background: Exposure to cigarette may affect human health and increase risk of a wide range of diseases including pulmonary diseases, such as chronic obstructive pulmonary disease (COPD), asthma, lung fibrosis and lung cancer. However, the molecular mechanisms of pathogenesis induced by cigarettes still remain obscure even with extensive studies. With systemic view, we attempted to identify the specific gene modules that might relate to injury caused by cigarette smoke and identify hub genes for potential therapeutic targets or biomarkers from specific gene modules. Materials and Methods: The dataset GSE18344 was downloaded from the Gene Expression Omnibus (GEO) and divided into mouse cigarette smoke exposure and control groups. Subsequently, weighted gene co-expression network analysis (WGCNA) was used to construct a gene co-expression network for each group and detected specific gene modules of cigarette smoke exposure by comparison. Results: A total of ten specific gene modules were identified only in the cigarette smoke exposure group but not in the control group. Seven hub genes were identified as well, including Fip1l1, Anp32a, Acsl4, Evl, Sdc1, Arap3 and Cd52. Conclusions: Specific gene modules may provide better understanding of molecular mechanisms, and hub genes are potential candidates of therapeutic targets that may possible improve development of novel treatment approaches.