不同培养条件对基因工程疫苗菌抗原蛋白表达的影响

基因工程菌的表达条件研究在现代生物高技术产业化的发展中具有重要的意义。影响基因工程菌表达的因素主要有pH值、温度、诱导剂IPTG的浓度、诱导时间等。笔者分别就以上因素对基因工程菌抗原蛋白表达的影响进行了初步研究。在摇床培养条件下，外源基因表达蛋白的最适表达条件为终浓度O．8mmol/L的IPTG，32℃，诱导6h。     

利用啤酒废糟发酵生产菌体蛋白饲料的研究

记述了利用啤酒废糟为原料，经多种微生物发酵生产菌体蛋白饲料的工艺及过程。发酵后的饲料价廉质优，是牲畜理想的精饲料。     

光敏蛋白菌紫质分子及其在光电器件中的应用

紫膜菌紫质是一类新型的光敏蛋白分子,本文在介绍菌紫质分子结构和光致色变特性的基础上,重点讨论了它们在光探测器,全息材料,空间光调制器,光盘,条纹相机等光电器件中的潜在应用。     

蛋白质对淀粉物料微波膨化的影响

研究了大豆分离蛋白（SPI）对淀粉物料微波加热效果，膨化过程及膨化产品的膨化率，质构的影响，结果表明：SPI的添加及添加方式不影响微波的加热效果，但会影响物料的膨化效果。与对照样比较，含蛋白质的淀粉物料的微波加热过程有三个阶段，物料的膨化过程也有三个阶段，即加热段，膨化段和固化段。加入SPI会使产品膨化率变小，且若微波膨化前SPI已变性，则产品的膨化率比含等量未变性SPI物料的小，随着SPI含量的增加，膨化产品中的孔隙逐渐变小，孔壁变薄，膨化前未变性的SPI可使孔隙细密均匀，而变性的SPI则会使产品组织结构粗糙，且孔隙尺雨随其含量的变化比较大。随着SPI含量的增加，膨化产品的孔隙率增大，硬度变大，色泽加深。     

蛋白质折迭时标和分子伴侣的一个简单模型

利用大分子构象动力学导出蛋白质折迭的时标，讨论了折迭时间和分子参量的依赖，着重研究了对构象变化中原子团转动惯量的依赖，在此基础上提出了分子伴侣的一个简单模型。     

运动中基础营养物质的分析

运动时，糖、脂肪和蛋白质是能量的主要来源。通过分解代谢，将能量释放出来，并转移、储存至ATP，以保证运动中ATP供能的连续性和持久性。     

伸展态β-乳球蛋白重折叠过程的动力学特性

从蛋白质变性的渐变模型及构象态渐变的观点出发 ,对伸展态 β -乳球蛋白的重折叠过程进行了分析 ,发现蛋白质分子从伸展态到最终折叠态历经一系列中间稳定态 .尿素浓度梯度电泳实验结果显示 ,存在两条不同的折叠途径 .在不同的尿素浓度范围内 ,蛋白质分子的折叠过程具有不同的动力学特性     

Extrinsic fluorescence probe study of human serum albumin using Nile red

Nile red bound to human serum albumin (HSA) shows an order of magnitude increase in the probe's fluorescence intensity. Here, we report on the fluorescence characteristics of the probe-protein complex in Trizma buffer (pH 7.1), urea, guanidine hydrochloride, and AOT/isooctane/buffer reverse micelles using both steady—state and time-resolved fluorescence techniques. With a view to illustrating the use of extrinsic probe fluorescence spectroscopy in protein research, we demonstrate that protein unfolding can be observed through measurements of the probe's time-resolved anisotropy and steady-state fluorescence spectrum. Moreover, this shows that thermal unfolding is fundamentally different from using denaturant, with respect to changes in both the nanosecond diffusional rotation of the probe at intermediate stages and in the denatured protein's structure. Also, the large Stokes shift of Nile red allows the changes in the environment of the probe-protein complex in reverse micelles of varying waterpool size to be easily identified in the steady-state fluorescence. This was not seen in earlier work exploiting the intrinsic tryptophan fluorescence of HSA and further demonstrates the complementary information that extrinsic fluorescence probe studies can offer protein science. We discuss the complex acrylamide quenching characteristics of Nile red bound to HSA in terms of the possibility of at least two binding sites for the probe and the effect of acrylamide on the probe-protein structure at very high quencher concentrations.     

Quantum dots-based reverse phase protein microarray

CdSe nanocrystals, also called quantum dots (Qdots) are a novel class of fluorophores, which have a diameter of a few nanometers and possess high quantum yield, tunable emission wavelength and photostability. They are an attractive alternative to conventional fluorescent dyes. Quantum dots can be silanized to be soluble in aqueous solution under biological conditions, and thus be used in bio-detection. In this study, we established a novel Qdot-based technology platform that can perform accurate and reproducible quantification of protein concentration in a crude cell lysate background. Protein lysates have been spiked with a target protein, and a dilution series of the cell lysate with a dynamic range of three orders of magnitude has been used for this proof-of-concept study. The dilution series has been spotted in microarray format, and protein detection has been achieved with a sensitivity that is at least comparable to standard commercial assays, which are based on horseradish peroxidase (HRP)-catalyzed diaminobenzidine (DAB) chromogenesis. The data obtained through the Qdot method has shown a close linear correlation between relative fluorescence unit and relative protein concentration. The Qdot results are in almost complete agreement with data we obtained with the well-established HRP-DAB colorimetric array (R² = 0.986). This suggests that Qdots can be used for protein quantification in microarray format, using the platform presented here.