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| 1 | Effect of Shufeng Jiedu capsules as a broad-spectrum antibacterial显示文摘 | Yanyan Bao Yingjie Gao Xiaolan Cui | 2016 | Bio Science Trends Advance Publication2016，10，1： | 1 |
| 2 | Effect of Shufeng Jiedu capsules as a broad-spectrum antibacterial显示文摘 | Yanyan Bao Yingjie Gao Xiaolan Cui | 2016 | BioScience Trends2016，10，1： | 1 |
| 3 | A study of the soluble complexes formed during calcium binding by soybean protein hydrolysates显示文摘 | BAO Xiaolan LV Y YANG B C | 2008 | Journal of Food Science2008，73，3： | 1 |
| 4 | Effect of soluble soybean protein hydrolysate-calcium complexes on calcium uptake by Caco-2 cells显示文摘 | LU Y BAO Xiaolan YANG B C | 2008 | Journal of Food Science2008，73，7： | 1 |
| 5 | Pharmacodynamics Study in vitro and in vivo of Zijin Huadu Suppository Treating Cervicitis显示文摘[Objectives] To observe the pharmaceutical effect of Zijin Huadu suppository on treatment of cervicitis induced by virus,bacteria and phenol in vivo and in vitro,and provide experimental basis for evaluating its therapeutic effects for cervicitis. [Methods]Real-time RT-PCR and CPE methods were used to observe the inhibition of Zijin Huadu suppository on virus,and turbidimetry was used to observe bacteriostatic action; HE pathological section was used to observe cervicitis of rat,and enzyme-linked immunosorbent assay was used to detect virus' s expression in cervical tissue.[Results]In cervicitis rat model infected by HPV16,Zijin Huadu suppositories at the doses of 1. 2,0. 6 and0. 3 g/( kg·d) had significant inhibitory effect on HPV16 expression in cervical tissues,and the doses of 1. 2 and 0. 6 g/( kg·d) had significantly inhibitory effect on pathological changes of cervical tissues. In cervicities rat models infected mixedly by Escherichia coli,Neisseria gonorrhoeae and Staphylococcus aureus,Zijin Huadu suppositories at the doses of 1. 2 and 0. 6 g/( kg·d) had significant inhibitory effect on pathological changes of cervical tissues. In cervicitis rat models induced by chemical substances,Zijin Huadu suppositories at the dose of1. 2 g/( kg·d) had significant inhibitory effect on vagina and cervix lesions in rats. In vitro,Zijin Huadu suppository showed obvious inhibitory effects on HSV-2,HPV16,Staphylococcus aureus,Staphylococcus albus,Staphylococcus epidermidis,group B Streptococcus,E. coli,Pseudomonas aeruginosa,Proteusbacillus vulgaris,Neisseria gonorrhoeae and Candida albicans.[Conclusions] Zijin Huadu suppository has obvious inhibitory effect in vitro on viruses and bacteria,and could obviously improve the phenol-induced cervicitis. | Shanshan GUO Yingjie GAO Lei BAO Yahong JIN Yanying LI Xiaolan CUI Wei XIAO | 2017 | Medicinal Plant2017，8，4： | 1 |
| 6 | Glycopeptide derived from soybean β-conglycinin inhibits the adhesion of Escheri- chia coli and Salmonella to human intestinal cells显示文摘 | YANG Baichong ZHANG Xuemei BAO Xiaolan | 2008 | Food Research International2008，41，： | 1 |
| 7 | Feedforward loop profile among transcription factor, miRNA and mRNA in influenza A virus-infected mouse lungs显示文摘Purpose:In the present study,we focused on the 46 microRNAs and 719 genes in the microRNA-gene network,reported by us,and aimed to build a research blueprint of feedforward loops and reveal the key TFs in H1N1-infected mouse lung.Method:Based on microRNAs and genes in the microRNA-gene network previously reported by us,we used Jemboss software to find relationships between TFs and microRNAs(or genes),and then built a TF-microRNA-gene network exploiting the interactions between TFs and microRNAs(or genes).Next,we searched the sequences of above genes or microRNAs near the transcription start site(TSS)area,and then used the MatchTM algorithm to predict relevant TFs,and built the TF-Gene-Network.Result:We built a TF-microRNAgene network and exploreed eight key TFs,namely NF-AT1,GKLF,SRY,SOX10,AML1,MZF1,CRX and myogenin,in the network,and then constructed subgraphs of these eight TFs.Simultaneously,we predicted the possible target genes of microRNAs and identified the feedforward regulation relationship of possible TFs,microRNAs and mRNAs.The results showed that all eight factors with a score greater than 100 were TFs,namely NF-AT1,GKLF,SRY,SOX10,AML1,CRX,myogenin and MZF1.We then constructed subtables of the above eight TFs.Conclusion:In this study,TFs including NF-AT1,GKLF,SRY,SOX10,AML1,MZF1,CRX and myogenin showed the highest score(>100)not only in the TF-microRNA-gene network but also in feedforward loops,indicating that these eight TFs play the most important roles in mouse H1N1 influenza virus infection biology. | Yanyan Bao Yujing Shi Yingjie Gao Lirun Zhou Xiaolan Cui | 2019 | Medical Data Mining2019，2，4： | 0 |
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