生物酶法提取米糠蛋白的研究进展

米糠蛋白具有低过敏性、营养价值高等突出优势,是一种新型的优质植物蛋白。米糠蛋白一般以米糠为原料,主要提取方法有碱法提取、物理法提取以及生物酶法提取等,其中,生物酶法由于反应条件温和、蛋白产品品质高等优势备受关注。针对此,本文对生物酶法提取米糠蛋白方法进行了综述,包括酶制剂种类以及酶用量、温度、pH值和料液比等因素对酶解反应的影响规律等,并对生物酶法提取米糠蛋白的前景进行了展望。     

Serum protein determination by high-performance gel-permeation chromatography

A general high-performance gel-permeation chromatography (HPGPC) method was developed to determine protein in human serum with improved sensitivity and speed. The optimum UV wavelength for protein detection was found to be 210 nm, by comparing the protein values obtained by varying the UV wavelength of the HPLC detection system with the protein values obtained from spectrophotometric protein assays, i.e., the bicinchoninic acid (BCA) method and the biuret method. The analysis time was less than 1 min. Since this HPGPC serum protein assay method is simple and rapid, it is expected to be particularly well adapted for use in clinical laboratories.     

Bestimmung des isoelektrisch fällbaren Proteins aufgeschlossener Mikroorganismen mittels Coomassiebrillantblau G-250

An analytical method for a rapid determination of the protein dissolved from microorganisms after cell disintegration and protein extraction is presented, thereby distinguishing both the isoelectrical precipitable and the isoelectrical nonprecipitable protein fraction. The method is especially usefull for controlling disintegration and protein extraction steps in production of protein isolates from microbial biomasses.     

New method for analyzing the molecular weights of proteins by sodium dodecyl sulfate-polyacrylamide gel electrophoresis

Previously the method for determining protein molecular weights from SDS-PAGE depended on the accidental, only partial linearity of protein movement with the logarithm of its molecular weight. A new, mathematically rigorous method with supporting data is now described demonstrating that such movement is dependent upon the reciprocal of protein size. Experimental data, therefore, follow most closely a hyperbolic curve when plotted directly; it becomes linear and passes through the origin when movement is plotted vs the reciprocal of protein molecular weight. In the earlier method determination of the error of a measurement of molecular weight is very complex and never determined. In the method presented here such error is easily estimated and it is identical in both the hyperbolic and linear forms of data presentation. This method may eventually also allow other less-significant forces controlling movement such as protein charge to be analyzed and understood.     

Reanalysis of ProteomicsDB Using an Accurate,Sensitive, and Scalable False Discovery Rate Estimation Approach for Protein Groups

Estimating false discovery rates (FDRs) of protein identification continues to be an important topic in mass spectrometry–based proteomics, particularly when analyzing very large datasets. One performant method for this purpose is the Picked Protein FDR approach which is based on a target-decoy competition strategy on the protein level that ensures that FDRs scale to large datasets. Here, we present an extension to this method that can also deal with protein groups, that is, proteins that share common peptides such as protein isoforms of the same gene. To obtain well-calibrated FDR estimates that preserve protein identification sensitivity, we introduce two novel ideas. First, the picked group target-decoy and second, the rescued subset grouping strategies. Using entrapment searches and simulated data for validation, we demonstrate that the new Picked Protein Group FDR method produces accurate protein group-level FDR estimates regardless of the size of the data set. The validation analysis also uncovered that applying the commonly used Occam’s razor principle leads to anticonservative FDR estimates for large datasets. This is not the case for the Picked Protein Group FDR method. Reanalysis of deep proteomes of 29 human tissues showed that the new method identified up to 4% more protein groups than MaxQuant. Applying the method to the reanalysis of the entire human section of ProteomicsDB led to the identification of 18,000 protein groups at 1% protein group-level FDR. The analysis also showed that about 1250 genes were represented by ≥2 identified protein groups. To make the method accessible to the proteomics community, we provide a software tool including a graphical user interface that enables merging results from multiple MaxQuant searches into a single list of identified and quantified protein groups.     

Protein beta-turn prediction using nearest-neighbor method

MOTIVATION: With the emerging success of protein secondary structure prediction through the applications of various statistical and machine learning techniques, similar techniques have been applied to protein beta-turn prediction. In this study, we perform protein beta-turn prediction using a k-nearest neighbor method, which is combined with a filter that uses predicted protein secondary structure information. Traditional beta-turn prediction from k-nearest neighbor method is modified to account for the unbalanced ratio of the natural occurrence of beta-turns and non-beta-turns. RESULTS: Our prediction scheme is tested on a set of 426 non-homologous protein sequences. The prediction scheme consists of two stages: k-nearest neighbor method stage and filtering stage. Variations of the k-nearest neighbor method were used to take property of beta-turns into consideration. Our filtering method uses beta-turn/non-beta-turn estimates from the k-nearest neighbor method stage and predicted protein secondary structure information from PSI-PRED in order to get new beta-turn/non-beta-turn estimate. Our result is compared with the previously best known beta-turn prediction method on the dataset of 426 non-homologous protein sequences and is shown to give slightly superior performance at significantly lower computational complexity. AVAILABILITY: Contact the author for information on the source code of the programs used.     

Ligation of expressed protein α-hydrazides via genetic incorporation of an α-hydroxy acid

Expressed protein ligation bridges the gap between synthetic peptides and recombinant proteins and thereby significantly increases the size and complexity of chemically synthesized proteins. Although the intein-based expressed protein ligation method has been extensively used in this regard, the development of new expressed protein ligation methods may improve the flexibility and power of protein semisynthesis. In this study a new alternative version of expressed protein ligation is developed by combining the recently developed technologies of hydrazide-based peptide ligation and genetic code expansion. Compared to the previous intein-based expressed protein ligation method, the new method does not require the use of protein splicing technology and generates recombinant protein α-hydrazides as ligation intermediates that are more chemically stable than protein α-thioesters. Furthermore, the use of an evolved mutant pyrrolysyl-tRNA synthetase(PylRS), ACPK-RS, from M. barkeri shows an improved performance for the expression of recombinant protein backbone oxoesters. By using HdeA as a model protein we demonstrate that the hydrazide-based method can be used to synthesize proteins with correctly folded structures and full biological activity. Because the PylRS-tRNACUAPyl system is compatible with both prokaryotic and eukaryotic cells,the strategy presented here may be readily expanded to manipulate proteins produced in mammalian cells. The new hydrazide-based method may also supplement the intein-based expressed protein ligation method by allowing for a more flexible selection of ligation site.     

基于蛋白质二级结构热稳定性的正交方法

对蛋白质热稳定性的研究是解析蛋白高级结构,开发蛋白功能及新药物研发过程中的一个重要环节,是对其结构分析的一个重要关切点.观测蛋白质的圆二色光谱随温度程序变化而改变是研究其热稳定性的常用手段,传统的实验方法为选用某一单波长作为测试点,通过连续升温测试蛋白在单波长下的圆二色变温曲线,然后拟合出Tm值,此方法所得的信息有限,...     

Solvent interaction analysis as a proteomic approach to structure-based biomarker discovery and clinical diagnostics

Proteins have several measurable features in biological fluids that may change under pathological conditions. The current disease biomarker discovery is mostly based on protein concentration in the sample as the measurable feature. Changes in protein structures, such as post-translational modifications and in protein–partner interactions are known to accompany pathological processes. Changes in glycosylation profiles are well-established for many plasma proteins in various types of cancer and other diseases. The solvent interaction analysis method is based on protein partitioning in aqueous two-phase systems and is highly sensitive to changes in protein structure and protein–protein- and protein–partner interactions while independent of the protein concentration in the biological sample. It provides quantitative index: partition coefficient representing changes in protein structure and interactions with partners. The fundamentals of the method are presented with multiple examples of applications of the method to discover and monitor structural protein biomarkers as disease-specific diagnostic indicators.     

Protein assay in the microgram range: modifications of the Hiraoka-Glick method

A method is described for the accurate estimation of protein samples ranging in size from 1 to 100 μg. It is based on fluorescence quenching of eosin Y by protein and modifies a method originally published by Hiraoka and Glick. The modified method is convenient to use. It is carried out with a stabilized reagent in cuvettes of standard size and permits the estimation of 5 μg or less of protein with precision of ± 9%. The measurements are shown to be sensitive to slight variations in ambient temperature and these contribute at least 3% to the error term shown. A graphical manner of presenting the data has been devised that provides a linear relationship over nearly 50-fold range of protein concentrations. Quenching is unaffected by presence of glucose or urea and partially inhibited by glycine or mercaptoethanol only if these are present in better than 100-fold excess over protein. Different proteins show different degrees of quenching and the method is thus most suitable for comparing quantitatively protein mixtures of similar composition. The modified method should be useful not only where microgram quantities of protein must be measured, but also with automated equipment or in cases where the Folin-Ciocalteau method cannot be employed due to presence of interfering substances.     

Gold nanoparticle-assisted protein enrichment and electroelution for biological samples containing low protein concentration--a prelude of gel electrophoresis

Protein enrichment is essential for biological samples that contain low protein concentrations, especially for proteomic studies that require sufficient quantities for subsequent MS analysis. Traditional precipitation methods, however, are limited in the sample volume and protein concentration required to cause efficient precipitations. We showed that gold nanoparticles (Au-NPs) can be easily applied to concentrate proteins from more than 15 mL of human urine, in which the total protein concentration is less than 1.4 ppm. Moreover, Au-NP-aggregated proteins can be directly applied to gel electrophoresis for Au-NP-protein dissociation followed by free protein separation as well as for the subsequent in-gel digestion and protein identification by mass spectrometry. We compared this method with trichloroacetic acid (TCA) precipitation method, one of the most common precipitation methods, and TCA method showed no enrichment effect for protein samples with large volumes (>2 mL) or with low protein concentrations (4 ppm). Therefore, Au-NP aggregation is not only a simple and efficient method for enriching a broad range of proteins, it is also particularly useful for concentrating proteins from a relatively large volume of dilute biological fluids, under which TCA method is ineffective.     

Application of fourth derivative absorption spectroscopy to protein quantitation during purification

A method for protein quantitation in the presence of nonprotein cellular components is described. The method is based on measurement of two tryptophan-specific signals in the fourth derivative of the protein's ultraviolet absorption spectrum, a peak at 283 nm and a trough at 288 nm. The amplitude between these two extremes is shown to vary linearly with protein concentration for bovine serum albumin and the outer membrane vesicles of Neissera meningitidis even when these protein solutions are supplemented with enough nucleic acid to completely obscure the parent absorption spectrum of the protein. The utility of this method as an in-process assay during isolation of a protein is demonstrated by comparing estimates of protein content from fourth derivative spectroscopy with those from the Lowry assay for samples at several steps along the isolation pathway for outer membrane vesicles of N. meningitidis. The advantages and limitations of the present method are discussed.     

Efficient identification of critical residues based only on protein structure by network analysis

Despite the increasing number of published protein structures, and the fact that each protein's function relies on its three-dimensional structure, there is limited access to automatic programs used for the identification of critical residues from the protein structure, compared with those based on protein sequence. Here we present a new algorithm based on network analysis applied exclusively on protein structures to identify critical residues. Our results show that this method identifies critical residues for protein function with high reliability and improves automatic sequence-based approaches and previous network-based approaches. The reliability of the method depends on the conformational diversity screened for the protein of interest. We have designed a web site to give access to this software at http://bis.ifc.unam.mx/jamming/. In summary, a new method is presented that relates critical residues for protein function with the most traversed residues in networks derived from protein structures. A unique feature of the method is the inclusion of the conformational diversity of proteins in the prediction, thus reproducing a basic feature of the structure/function relationship of proteins.     

A critical reappraisal of Waddell's technique for ultraviolet spectrophotometric protein estimation

Waddell's method of estimating protein concentration by the difference between spectrophotometric absorptions (215-225 nm) has been reexamined. Over limited ranges of total protein, a linear relation was found for ten purified proteins; the narrowest range was between 5 and 25 micrograms/ml. Using published extinction coefficients at 280 nm for these ten proteins, protein concentration at 280 nm correlated closely with the 215 nm/225 nm difference measurements (mean difference of 2.6%). Waddell's method also accurately determined the total protein in a mixture of proteins with widely varying individual 280-nm extinction coefficients. Biuret estimates of total protein in plasma or serum gave poor correlation with measurements by Waddell's method. Within protein concentration limits, Waddell's method was linear, narrow, and more variable, both for individual proteins and for protein mixtures, than previously reported. Within these limits, the method is probably as accurate a measure of total protein as measurement by nitrogen analysis, with the advantage of being nondestructive.     

基于分组重量编码的蛋白质功能预测

从蛋白质序列出发,采用分组重量编码(Encoding Based on Grouped Weight,简记EBGW),并结合最近邻居算法对蛋白质功能进行预测。对酵母(Saccharomyces cerevisiae)蛋白质的1826条序列进行预测,整体预测准确率与其他基于序列信息的蛋白质功能预测方法相当。实验结果表明基于EBGW编码方案的新方法可有效地应用于蛋白质功能预测。     

赤爱胜蚯蚓（Eiseniba Foetida Sarigng）纤溶酶的研究──■蚯蚓纤溶酶活性测定方法的研究

本文主要阐述了蚯蚓纤溶酶活性（效价）的测定方法的研究结果。通过对气泡上升法,精氨酸脂酶法（ＴＡＭＥ法）和纤维蛋白平板法测定蚯蚓纤溶酶活性的比较,最后认为纤维蛋白平板法能够客观地表示出纤溶酶溶解血栓的能力,虽然方法较为复杂,难度较大,但准确性强,结果可靠。ＴＡＭＥ法由于受样品中混有杂蛋白酶其稳定性受到一定的影响,但此法简便易行可作为中间产品的快速检测。文中详细地介绍了纤维蛋白平板法。     

Inferring gene expression dynamics from reporter protein levels

We present a mathematical method for inferring the dynamics of gene expression from time series of reporter protein assays and cell populations. We show that estimating temporal expression dynamics from direct visual inspection of reporter protein data is unreliable when the half-life of the protein is comparable to the time scale of the expression dynamics. Our method is simple and general because it is designed only to reconstruct the pattern of protein synthesis, without assuming any specific regulatory mechanisms. It can be applied to a wide range of cell types, patterns of expression, and reporter systems, and is implemented in publicly available spreadsheets. We show that our method is robust to a several possible types of error, and argue that uncertainty about the decay kinetics of reporter proteins is the limiting factor in reconstructing the temporal pattern of gene expression dynamics from reporter protein assays. With improved estimates of reporter protein decay rates, our approach could allow for detailed reconstruction of gene expression dynamics from commonly used reporter protein systems.     

Isoelectric focusing of high-molecular-weight protein complex under native conditions using agarose gel

The isolation and characterization of protein complexes are essential steps toward understanding cellular functions. A method for separating and characterizing high-molecular-weight protein complexes using two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) with native agarose gel isoelectric focusing (IEF) is described. Using this method, fractions containing high-molecular-weight protein complexes were analyzed. The advantages of using native agarose gel IEF include the ability to concentrate the protein complexes and the ease of handling when performing 2D separations. Although limited with respect to the size of molecules and particles that may be separated, this method is useful for the isolation and characterization of high-molecular-weight protein complexes.     

一种快速非比对的蛋白质序列相似性与进化分析方法

本文提出了一种新的快速非比对的蛋白质序列相似性与进化分析方法。在刻画蛋白质序列特征时,首先将氨基酸的10种理化性质通过主成分分析浓缩为6个主成分,并且将每条蛋白质序列里的氨基酸数目作为权重对主成分得分值进行加权平均,然后再融合氨基酸的位置信息构成一个26维的蛋白质序列特征向量,最后利用欧式距离度量蛋白质序列间的相似性及进化关系。通过对3个蛋白质序列数据集的测试表明,本文提出的方法能将每条蛋白质序列准确聚类,并且简便快捷,说明了该方法的有效性。