1.Screening of Anti-CpG DNA Traditional Chinese Medicine Using Biosensor Technology
China Pharmacy 2005;0(18):-
100 RU), and 19 such as biotae folium et ramulus, lycium bark and rhubarb had higher contents of active substances that of specific affinity to CpG DNA. CONCLUSION: It is feasible to screen traditional Chinese medicine by biosensor technology. Nineteen kinds of TCM contain the active non-tannin substance with specific affinity to CpG DNA.
2.Screening Anti-MRSA Traditional Chinese Materia Medica by Targeting on Soluble Penicillin Binding Protein 2a
Yan DONG ; Bin LI ; Ping LUO ; Yupeng LONG ; Jun LI ; Xianyuan WANG ; Hong ZHOU
Chinese Journal of Nosocomiology 1994;0(04):-
OBJECTIVE To screen the anti-meticillin-resistant Staphylococcus aureus(MRSA)traditional Chinese materia medica(TCMM)by biosensor technique,targeted on the soluble penicillin binding protein 2a(PBP2a)of clinical MRSA.METHODS The soluble PBP2a with amino acid sequence from 25 to 668 from clinical MRSA were expressed in Escherichia coli by gene recombination technique.Then,the expressed product was identified and its biological function was analyzed.After the PBP2a was immobilized into the carboxymethyl dextran cuvette(CMD),the anti-MRSA TCMM was screened by means of biosensor.RESULTS The soluble protein PBP2a had been successfully expressed,whose relative molecular mass was 74?103.It was confirmed that the soluble PBP2a had transpeptidase activitiy and ?-lactamase activitiy.Subsequently,10 kinds of anti-MRSA TCMM were screened out by biosensor technique.Moreover,Radix Scutellariae,Rhizoma Coptidis and Spica Prunellae had greater anti-MRSA effect than others.CONCLUSIONS Anti-MRSA TCMM has been successfully screened out by biosensor technique,targeted on the soluble PBP2a of clinical MRSA.
3.Predictive value and efficacy evaluation of plasma miR-132,miR-134 combined with miR-124 in patients with depression
Wenpeng DENG ; Haojun XIONG ; Guangtao HU ; Wenjing YU ; Junjie FAN ; Yupeng LONG
International Journal of Laboratory Medicine 2024;45(16):1962-1965,1972
Objective To explore the predictive value and efficacy evaluation of plasma microRNA(miR)-132,miR-134 combined with miR-124 in patients with depression.Methods A total of 75 patients diagnosed with depression in the psychiatric department of the hospital from June 2021 to July 2023 were selected as the study group,and 75 healthy subjects who underwent physical examination in the hospital during the same pe-riod were selected as the control group.The relative expression levels of miR-132,miR-134 and miR-124 in plasma of the two groups were detected.The levels of miR-132,miR-124,miR-134,brain-derived neurotrophic factor(BDNF).inflammatory factors[interleukin(IL)-6,IL-18,tumor necrosis factor-a(TNF-a)]were com-pared between the two groups before and after 8 weeks of treatment.Multiple linear regression analysis was used to construct a joint prediction model.The application value of plasma miR-132,miR-134,miR-124 and combined prediction in the diagnosis of depression was evaluated by receiver operating characteristic(ROC)curve.Results The relative expression levels of miR-132 and miR-124 in plasma of the study group were sig-nificantly higher than those of the control group,with statistical significance(P<0.05).The relative expres-sion level of miR-134 in the study group was significantly lower than that in the control group,and the differ-ence was statistically significant(P<0.05).ROC curve analysis showed that the area under the curve of plas-ma miR-132,miR-134,miR-124 and combined prediction of depression were 0.858 8,0.851 9,0.763 1 and 0.971 4,respectively.Compared with 8 weeks before treatment,plasma miR-132,miR-124,IL-6,IL-18 and TNF-a levels were significantly down-regulated,while plasma miR-134 and BDNF levels were significantly up-regulated after 8 weeks of treatment.Conclusion miR-132,miR-134 and miR-124 are closely related to the oc-currence of depression,and the combination of the three can be used to predict and early diagnose depression patients and evaluate the drug efficacy of depression patients.
4.Transcriptome analysis and gene function annotation of Bambusa emeiensis shoots based on high-throughput sequencing technology.
Yupeng CHEN ; Ying CAO ; Shanglian HU ; Yan HUANG ; Xueqin LU ; Gang XU ; Zhijian LONG
Chinese Journal of Biotechnology 2016;32(11):1610-1623
Bambusa emeiensis is one of the preponderant species of sympodial bamboos in Sichuan province of China, and has excellent fiber length and quality as raw materials for papermaking, textile and other industries. In this study, with the application of Illumina HiSeq™ 2000 platform, we analyzed transcriptome in B. emeiensis with different heights of 10, 50, 100 and 150 cm. A total of 69.28 M reads were obtained, and a sum up of 111 137 bands of Unigenes were acquired following de novo stitching, assembly and clustering, among which there were 63 094 bands that had been integrated in the COG, GO, KEGG, Swiss-Prot and Nr databases using annotated methods. These Unigenes not only had general functions, such as transcription and signal transduction, but were also involved in sucrose transport and metabolism, secondary metabolites and cell wall biosynthesis. There was significant difference regarding the expression of cellulose synthase gene in B. emeiensis at different heights, relevant genes were found that might be responsible for the regulation of the growth and development of B. emeiensis as well as the biosynthesis of cellulose and lignin. Our findings could provide some elementary theories for breed improvement of B. emeiensis.