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Hai Lian Xiao,Fang Fang Jian,Ke Jie Zhang 대한화학회 2009 Bulletin of the Korean Chemical Society Vol.30 No.4
Two modifications of the α and β forms of propyl mercaptan nickel(II) cluster, [Ni6(SCH2CH2CH3)12], have been synthesized and their crystal structures have been determined by single-crystal X-ray diffraction. The alkyl groups are away from Ni6 ring in α form whereas they are near to the Ni atom in β form. The distance of Ni-H in β form [2.576(5) Å] is much shorter than that in α form [3.101(2) Å]. In the crystal lattice of β form, the whole structure forms a flower shape.
Xiao, Hai Lian,Jian, Fang Fang,Zhang, Ke Jie Korean Chemical Society 2009 Bulletin of the Korean Chemical Society Vol.30 No.4
Two modifications of the ${\alpha}\;and\;{\beta}$ forms of propyl mercaptan nickel(II) cluster, [$Ni_6(SCH_2CH_2CH_3)_{12}$], have been synthesized and their crystal structures have been determined by single-crystal X-ray diffraction. The alkyl groups are away from $Ni_6$ ring in $\alpha$ form whereas they are near to the Ni atom in $\beta$ form. The distance of Ni-H in $\beta$ form [2.576(5) $\AA$] is much shorter than that in $\alpha$ form [3.101(2) $\AA$]. In the crystal lattice of $\beta$ form, the whole structure forms a flower shape.
Xiao, Yan-Nong,Li, Xin-Hai,Zhang, Shi-Huang,Wang, Xiang-Dong,Li, Ming-Shun,Zheng, Yong-Lian 한국유전학회 2004 Genes & Genomics Vol.26 No.4
The selection of reduction of anthesis-silking interval (ASI) in maize breeding is an efficient way to develop maize varieties more tolerant to dry growing conditions. Characterization of the quantitative trait loci (QTL) that controlled the flowering time will be helpful for selection in maize breeding. In this study, flowering time of individuals in a 234 F_(2:3) family, derived from the cross between inbred lines X178 and B73, was evaluated under well-watered and water-stressed conditions at the same location. SSR (microsatellite) was used to identify flowering time QTL. The results showed that the broad-sense heritability for male flowering time (MFT), female flowering time (FFT) and ASI were 0.72, 0.72 - 0.74 and 0.40 - 0.42, respectively, and ASI was significantly correlated to FFT. Under water-stressed condition, 9, 6 and 6 QTLs were identified for MFT, FFT and ASI, respectively, and individual QTL accounted for approximately 2.88% - 31.65% of the phenotypic variation. Some QTLs for MFT were mapped overlapping with those for FIT and ASI. One QTL on chromosome 9 (near nc134) had the strongest effect on MFT, FTT and ASI. It was suggested that the epistasis contributed to the phenotypic variation of flowering time.
Association of XPD and XRCC1 Genetic Polymorphisms with Hepatocellular Carcinoma Risk
Guo, Lian-Yi,Jin, Xu-Peng,Niu, Wei,Li, Xiao-Fei,Liu, Bao-Hai,Wang, Yu-Lin Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.9
Aim: XRCC1 and XPD are two major repair genes involved in nucleotide excision repair (NER), which is reported to be associated with risk of several cancers. We explored the association of XRCC1 and XPD polymorphisms with the risk of HCC. Methods: A total of 410 cases with HCC and 410 health controls were collected. XRCC1 Arg194Trp, XRCC1 Arg399Gln, XPD Lys751Gln and XPD Asp312Asn genotyping was performed by duplex polymerase-chain-reaction with the confronting-two-pair primer (PCR-CTPP) method. Results: XRCC1 194Trp/Trp was strongly significantly associated with an increased risk of HCC cancer when compared with the wide-type genotype (OR=2.26, 95% CI=(1.23-5.38). Individuals carrying the XRCC1 399Gln/Gln showed increased risk of HCC (OR=1.74, 95%CI=1.06-2.74). The XPD 751Gln/Gln and Gln allele genotype were associated with strong elevated susceptibility to HCC (OR=3.51 and 1.42, respectively). Conclusion: These results suggest that polymorphisms in XRCC1 and XPD may have functional significance in risk of HCC.
Chun-Lian Liu,Xiao-Ping Hu,Wei-Dong Guo,Li Yang,Jie Dang,Hai-Yan Jiao 한국유방암학회 2013 Journal of breast cancer Vol.16 No.4
Purpose: Genetic variation in fibroblast growth factor receptor 2(FGFR2) is a newly described risk factor for breast cancer. Thisstudy aimed to evaluate the association of four single nucleotidepolymorphisms (SNPs) in FGFR2 with breast cancer in Han Chinesewomen. Methods: Two hundred three women with breastcancer and 200 breast cancer-free age-matched controls wereselected. Four SNPs (rs2981579, rs1219648, rs2420946, andrs2981582) and their haplotypes were analyzed to test for theirassociation with breast cancer susceptibility. The presence ofthe four FGFR2 SNPs was determined by polymerase chain reaction-restriction fragment length polymorphism analysis. Results:A statistically significant difference was observed in thefrequency of rs2981582 in the FGFR2 gene (p<0.05) betweencase and control groups. In subjects stratified by menopausalstatus, rs2981582 TT, rs2420946 AA, and rs1219648 CC weresignificantly associated with the risk of breast cancer in postmenopausalsubjects, but no significant associations betweenthese four SNPs and the risk of breast cancer were identified inpremenopausal subjects. Further, there was no significant associationbetween hormone receptor status (estrogen receptor andprogesterone receptor) and breast cancer risk. Six common (>3%) haplotypes were identified. Three of these haplotypes,CGTC (odds ratio [OR], 0.613; 95% confidence interval [CI],0.457-0.82; p=0.001), TGTC (OR, 6.561; 95% CI, 2.064-20.854;p<0.001), and CATC (OR, 12.645; 95% CI, 1.742-91.799; p=0.001) were significantly associated with breast cancer risk. Conclusion:Our findings indicated that the SNP rs2981582 and haplotypesCGTC, TGTC, and CATC in FGFR2 may be associatedwith an increased risk of breast cancer in Han Chinese women.
Shen-Ping Xiao,Hong-Hai Lian,Hong-Bing Zeng,Gang Chen,Wei-Hua Zheng 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.5
This paper investigates the robust delay-dependent passivity problem of neural networks (NNs) with time-varying delays and parameter uncertainties. A suitable augmented Lyapunov-Krasovskii functional (LKF) with triple integral term, which takes full use of the neuron activation function conditions and the information of time-delay in integral term, is constructed. Furthermore, by utilizing integral inequality proposed recently and the combining reciprocally convex method to estimate the derivative of the LKF, some less conservative robust passivity conditions are derived in terms of LMI. The superiority of presented approaches are demonstrated via two classic numerical examples.
Prediction of Lung Cancer Based on Serum Biomarkers by Gene Expression Programming Methods
Yu, Zhuang,Chen, Xiao-Zheng,Cui, Lian-Hua,Si, Hong-Zong,Lu, Hai-Jiao,Liu, Shi-Hai Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.21
In diagnosis of lung cancer, rapid distinction between small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) tumors is very important. Serum markers, including lactate dehydrogenase (LDH), C-reactive protein (CRP), carcino-embryonic antigen (CEA), neurone specific enolase (NSE) and Cyfra21-1, are reported to reflect lung cancer characteristics. In this study classification of lung tumors was made based on biomarkers (measured in 120 NSCLC and 60 SCLC patients) by setting up optimal biomarker joint models with a powerful computerized tool - gene expression programming (GEP). GEP is a learning algorithm that combines the advantages of genetic programming (GP) and genetic algorithms (GA). It specifically focuses on relationships between variables in sets of data and then builds models to explain these relationships, and has been successfully used in formula finding and function mining. As a basis for defining a GEP environment for SCLC and NSCLC prediction, three explicit predictive models were constructed. CEA and NSE are requentlyused lung cancer markers in clinical trials, CRP, LDH and Cyfra21-1 have significant meaning in lung cancer, basis on CEA and NSE we set up three GEP models-GEP 1(CEA, NSE, Cyfra21-1), GEP2 (CEA, NSE, LDH), GEP3 (CEA, NSE, CRP). The best classification result of GEP gained when CEA, NSE and Cyfra21-1 were combined: 128 of 135 subjects in the training set and 40 of 45 subjects in the test set were classified correctly, the accuracy rate is 94.8% in training set; on collection of samples for testing, the accuracy rate is 88.9%. With GEP2, the accuracy was significantly decreased by 1.5% and 6.6% in training set and test set, in GEP3 was 0.82% and 4.45% respectively. Serum Cyfra21-1 is a useful and sensitive serum biomarker in discriminating between NSCLC and SCLC. GEP modeling is a promising and excellent tool in diagnosis of lung cancer.
Fang Fang Jian,Hai Lian Xiao,Huan Xiang Wang,Kui Jiao Korean Chemical Society 2003 대한화학회지 Vol.47 No.1
이핵 화합물, $Ag_2$[Phen]_2[S_2P(OPr)_2]_2$(Phen=1,10-phenanthroline; Pr=propyl)은 비스(디프로필디싸이오포스페이토) 은(|)화합물과 1,10 펜안트로린 리간드 반응에 의하여 합성되었고, 그 화합물 구조는 X-ray에 의하여 규명되었다. 두 디프로필디싸이오포스페이토 리간드는 두 개의 은 원자를 연결하여 팔각형 $Ag_2S_4P_2$ 고리를 형성하였고, 1,10-펜안트로린 리간드는 은 이온과 결합하여 사면체구조를 이루었다. Ag-S 결합거리는 2.471(1)와 2.567(1) ${\AA}$이었고, Ag-N 결합 거리는 2.3666(3)와 2.471(3) ${\AA}$이었다. The dinuclear $Ag_2[Phen]_2[S_2P(OPr)_2]_2$(phen=1,10-phenanthroline; Pr=propyl), was prepared by the reaction of bis(dipropyldithiophosphato) silver(I) complex with 1,10-phenanthroline ligand, and its structure was determined by X-ray crystallography. The two dipropyldithiophosphato ligands each bridge two silver atoms to form an eight-membered $Ag_2S_4P_2$ ring, while the 1,10-phenanthroline molecule coordinates to a silver atom to complete the local tetrahedral geometry for the metal ion. The Ag-S bond distances are 2.559(1) and 2.567(1)${\AA}$, and the Ag-N bond distances are 2.366(3) and 2.471(3)${\AA}$.
Er-Yun Zhang,Bo Gao,Hai-Lian Shi,Ling-Fang Huang,Li Yang,Xiao-Jun Wu,Zheng-Tao Wang 생화학분자생물학회 2017 Experimental and molecular medicine Vol.49 No.-
Impaired angiogenesis is one of the crucial factors that impede the wound healing process in diabetic foot ulcers (DFUs). In this study, we found that 20(S)-protopanaxadiol (PPD), an aglycone of ginsenosides in Panax notoginseng, stimulated angiogenesis and benefited wound healing in genetically diabetic mice. In HUVECs, PPD promoted cell proliferation, tube formation and VEGF secretion accompanied by increased nuclear translocalization of HIF-1α, which led to elevated VEGF mRNA expression. PPD activated both PI3K/Akt/mTOR and Raf/MEK/ERK signaling pathways in HUVECs, which were abrogated by LY294002 and PD98059. Furthermore, these two pathways had crosstalk through p70S6K, as LY294002, PD98059 and p70S6K siRNA abolished the angiogenic responses of PPD. In the excisional wound splinting model established in db/db diabetic mice, PPD (0.6, 6 and 60 mg ml− 1) accelerated wound closure, which was reflected by a significantly reduced wound area and epithelial gaps, as well as elevated VEGF expression and capillary formation. In addition, PPD activated PI3K/Akt/ERK signaling pathways, as well as enhanced p70S6K activity and HIF-1α synthesis in the wounds. Overall, our results revealed that PPD stimulated angiogenesis via HIF-1α-mediated VEGF expression by activating p70S6K through PI3K/Akt/mTOR and Raf/MEK/ERK signaling cascades, which suggests that the compound has potential use in wound healing therapy in patients suffering from DFUs.