葡聚六糖诱导后黄瓜幼苗细胞内Ca2+水平变化的细胞化学研究

采用改进的焦锑酸钙细胞化学方法 ,探讨了葡聚六糖诱导后Ca2 在黄瓜幼苗细胞中超微结构定位变化动态。结果表明 ,在正常情况下 ,黄瓜幼苗的细胞壁和细胞间隙存在大量Ca2 。葡聚六糖诱导后2h,细胞壁和细胞间隙Ca2 沉淀物明显减少 ;诱导后4h ,细胞壁和细胞间隙只偶尔能看到有少量Ca2 沉淀物 ,细胞质中Ca2 沉淀物增多 ;诱导后7h ,Ca2 又重新流回细胞壁和细胞间隙     

Preparation of recombinant PTD-HSP27 and verification of its ability to penetrate the cell membrane of human lens epithelial cells and rabbit cornea

AIM: To construct the prokaryotic expression system containing protein transduction domain (PTD) with heat shock protein 27 (HSP27) in order to prepare and purify the recombinant protein, and to verify whether the recombinant protein PTD-HSP27 has the ability to penetrate the human lens epithelial cell (HLEC) membrane and the rabbit cornea. METHODS: The plasmid pKYB-PTD-HSPB1-6His was constructed by the technique of overlap extension PCR. The plasmid was transformed and PTD-HSP27 was purified through nickel affinity chromatography column and identified by Western blotting. PTD-HSP27-6His was labeled with the fluorescein isothiocyanate (FITC). The penetrating ability of PTD-HSP27 into HLECs and rabbit cornea was tested. RESULTS: The recombinant PTD-HSP27 plasmid was successfully cloned and effectively expressed. The correctness of the recombinant protein PTD-HSP27 was demonstrated. Fluorescence microscopic examination showed that PTD-HSP27-FITC was internalized by HLECs. Fluorescent labeled PTD-HSP27 was then observed in the rabbit aqueous humor. CONCLUSION: The recombined gene PTD-HSPB1 was constructed by overlap extension PCR technique and the PTD-HSP27 fusion protein was prepared and purified by nickel affinity chromatography column. Using the technique of PTD-fusion protein, HSP27 was transduced into HLECs and passed through the cornea.     

Signal Processing of Electroencephalogram and It''s Application

Electroencephalogram (EEG) signals are the electrical activities in the cortex or on the surface of scalp caused by the physiological activities of the brain which play a key role in the diagnosis of brain and the functional determination of brain. The authors discuss some methods for processing EEG signals from the view of the frequency domain and time domain, especially introduce some time-frequency analysis methods such as Wigner distribution, wavelet transform and matching pursuit etc. , ANN and non-linear analysis for EEG signals processing.     

Role of RGD-mediate Adhesion in Signal Transduction of Plant Resistance

During the period of the primary contact time,there are series of recognition between the Fungal pathogens and the plant cell,which include physical and biochemical recognition.The results affect the infection directly.In the process of penetrating plant cell walls,there is not only an emzymolysis to plant cell wall,but also a mechanical squeeze to the cell wall.The latter almost trigger cell-associated defense response,such as extracellular hydrogen peroxide generation and callose doposition The complete cell wall-related defence response will be induced by mechanical signal and chemical signal together.Being to with the mammalian cell,in plant cell wall intergrin-like proteins have response to perceive the mechanical signal,which is via RGD(Arg-Gly-Asp)motif,and the plasma membrane-cell wall adhesion is required for expression of plant defense responses during fungal penetration.     

Electric Vehicle of Direct Torque Control System Based on TMS320LF2407 Controller

A fully digitized electric vehicle direct torque control system with DSPTMS320LF2407 controller is described. The system hardware and software structures are presented. The performance of the direct torque control system is studied by simulation with MATLAB. Based on the simulation of the induction motor, waveform of current, speed, torque and flux are obtained. The testing results are also presented. Experimental results show that the design is feasible.     

Application of Intelligent Neural Network on Prediction of Time Series Signal

The research of neural network has been maturated both in theory and practical application since 1980's, and also been employed into the prediction and analysis of nonlinear time series signal in the field of signal process system. Concerning with the problem of time series signal prediction based on traditional neural network, such as black box, poor accuracy, and facing the shortage of post knowledge, this paper presents a different neural network prediction model from the traditional ones, based on intelligent neural cell model and employing the iterative prediction method. Through the example on stock price prediction, the prediction accuracy and practical value are proved.     

基于小波包原理的蚕茧无损检测研究

提出了基于声学的蚕茧无损检测新方法，研究了利用小波包原理提取噪声信号的特征值的方法。噪声信号经过小波包分解后，得到各频段内的信号，将各频段内信号的能量谱作为识别蚕蛹质量的特征值。结果表明，通过小波包原理提取的能量谱特征值能有效地识别出蚕蛹的质量，解决了蚕茧无损检测过程中难找出与蚕蛹质量有关的信号特征值的难题。     

小麦ERF转录因子W17互作蛋白的筛选和解析

来自小麦的ERF转录因子W17基因参与胁迫应答,过表达W17可显著提高转基因拟南芥的抗旱性和抗病性。本研究构建了小麦cDNA文库,通过酵母双杂技术筛选W17的互作蛋白,以期进一步解析ERF蛋白的作用机制。将pGBKT7-W17质粒、pGADT7和小麦文库混合转入酵母细胞AH109,在SD/–Trp/–Leu/–His/–Ade营养缺陷型平板上培养,挑选直径大于2 mm的克隆,在SD/Raf/Gal/X-gal平板上划线培养,筛选蓝色克隆。将筛出的克隆测序、BLAST分析,得到4类与W17相互作用的候选蛋白,分别是胁迫相关功能蛋白、翻译后修饰蛋白、1,5-二磷酸核酮糖羧化酶/加氧酶(Rubisco)大亚基/小亚基以及功能未知蛋白。互作验证表明,Hsp90和PPR蛋白与W17有相互作用关系。这些候选蛋白参与信号转导或免疫过程,暗示W17在植物的逆境信号转导、下游基因转录调控,甚至在翻译过程都有重要作用。     

Feature extraction and recognition technique for human pulse signals

In Chinese traditional medicine, the pulse signal plays an important role for diagnosis. To investigate the effective technique for identifying heroin druggers through the pulse signal, the feature extraction algorithm based on the biocepstrum and the third-order cepstrum entropy of the pulse signal is studied. On the basis of concise and rigorous discussion for the algorithm, the biocepstrum-based diagonal slice components are estimated for human pulse signals of 20 heroin druggers and 20 healthy normal subjects. The magnitude of the sample value of diagonal slice at m=n=1 and the third-order cepstrum entropy of magnitudes of sample values of the diagonal slice within a particular region are used as two feature parameters for every human pulse signal to form a feature vector. A classifier based on the criterion of squared Mahalanobis distance is successfully designed. Applying the designed classifier to 40 feature vectors, the correct identification rate reaches 87.5%. The research result shows that the method of the feature extraction and classifier design presented in is valuable for identifying the human pulse signals of heroin druggers.