蛋白质组研究中的分析技术

蛋白质组分析技术已在生物科学各领域被广泛应用 ,蛋白质组的研究已成为目前国际上的前沿和研究热点。概述了蛋白质组研究中的常用分析技术 ,包括样品制备、双向凝胶电泳、凝胶图像分析、质谱鉴定及数据库检索等。直观地列出了蛋白质组研究的技术体系流程图。各种分析技术的连用和分析过程的自动化将是蛋白质组研究技术的发展方向。     

蛋白质组分析技术进展

蛋白质组是指某一物种、个体、器官、组织、细胞乃至体液在精确控制其环境条件之下,特定时刻的全部蛋白质表达图谱。继基因组之后,综的研究即将成为分子生物学的研究热点,蛋白质组研究中常用分离分析技术包括样品制备,双向凝胶电泳,毛细管电泳,色谱技术和质谱技术。双向凝胶电泳是在较短时间内分离大量蛋白质组分,提供足够分离空间的比较成熟的方法。各种分离技术的连用和分析过程的自动化将是蛋白质组研究技术的发展方向。     

蛋白质组研究的技术体系及其进展

随着后基因组时代的到来,蛋白质组研究越来越受到国内外科学工作者的密切关注, 我国国家自然科学基金委员会已把蛋白质组研究列为重大科研项目.概述了蛋白质组研究中的基本技术,包括双向凝胶电泳的样品制备和分离、蛋白质的检测、凝胶图像分析、蛋白质的鉴定以及蛋白质数据库构建等,并就蛋白质鉴定的常用方法如氨基酸组成分析方法、蛋白质末端序列分析、肽质量指纹谱作了详细阐述.直观地列出了蛋白质组研究的技术体系流程图,着重介绍了蛋白质组研究的最新技术及其进展.     

蛋白质组研究技术及其进展

“蛋白质组”（ｐｒｏｔｅｏｍｅ）由澳大利亚学者Ｗｉｌｋｉｎｓ和Ｗｉｌｉａｍｓ等于１９９４年提出,指的是由基因组编码的全部蛋白质［１］。今后生命科学的重点将是在蛋白质组水平上揭示生命现象的本质及活动规律。尽管蛋白质组概念的提出至今只不过四年时间,但它的...     

蛋白质组研究的现状与展望

蛋白质组是后基因组时代出现的一个新兴研究领域。蛋白质组的研究主要是先通过双向凝胶电泳等方法分离蛋白质,然后用质谱等技术进行鉴定。它是后基因组重要的研究方向之一,具有巨大的商业应用前景,将会推动整个生命科学的发展。蛋白质组研究取得了很大进展,已经成为生物技术中的一个重要领域。     

蛋白质组研究技术及其进展

蛋白质组学是在后基因时代出现的一个新的研究领域．它是对机体或组织或细胞的全部蛋白质的表达和功能模式进行研究。介绍并总结了蛋白质组研究的主要技术,包括双向凝胶电泳、质谱技术、蛋白质芯片和生物信息学等。     

蛋白质组中蛋白质鉴定技术的研究近况

蛋白质组学的核心内容之一就是蛋白质的鉴定,基于双向凝胶电泳的图象分析技术可以对组织细胞蛋白质表达的量、表观分子量和等电点等特性进行初步的鉴定,但是对于蛋白质的结构和功能必须借助其它技术手段。目前逐渐形成了以生物质谱为核心的鉴定技术,蛋白质微测和氨基酸组成分析在表达模型分析中也有应用。关于蛋白质组功能模式研究目前可用的方法有酵母双杂交、噬菌体展示、生物传感芯片质谱、蛋白质工程中的定点突变技术等。这些技术对推动蛋白质组学的发展起了一定作用,但是单一技术通常不能确切的鉴定某一蛋白质,常需联合应用几种技术才能准确的鉴定蛋白质。     

小鼠晶体蛋白质组的双向电泳和质谱鉴定研究

目的应用双向电泳和质谱技术研究5周龄小鼠晶体蛋白质组。方法提取小鼠晶体总蛋白,进行固相pH梯度（IPG）等电聚焦双向电泳,胶体考马斯亮蓝R-250染色,使用PDQuest7．30图像分析软件分析电泳图像。选择主要蛋白点胶上酶解,应用基质辅助激光解析电离飞行时间／飞行时间（MALDI—TOF／TOF）仪器进行串联质谱（MS／MS）鉴定。结果上样量为882μg和190μg时,分别检测370±41蛋白点（n=3）和57±5个蛋白点（n=3）。高上样量能够较好地分离晶体低丰度蛋白,如念珠状纤维结构蛋白BFSP;低上样量可很好地分离高丰度蛋白-晶体蛋白（包括αA、αB;βA1～βA4;βB1～βB3;γA～γF和γS等）。质谱鉴定得到1种细胞骨架蛋白和16种高丰度晶体蛋白。结论双向电泳和质谱技术有效考察了晶体总蛋白质,为分析白内障形成过程中蛋白质的表达改变提供了新的方法和途径。     

病原微生物蛋白质组研究

随着蛋白质组研究技术的发展,微生物蛋白质组学研究进展很快。本文从病原菌遗传变异、致病机理、潜在疫苗和对药物抗性的研究四个方面对病原微生物蛋白质组研究进展作一综述。     

应用超高分辨双向凝胶电泳技术进行正常人类肝脏蛋白质组研究

肝脏是人体最大的实质器官, 承担着人体许多关键的生理功能, 在生命活动中占有重要地位. 根据人类肝脏蛋白质组计划, 本实验旨在构建人肝脏蛋白质双向凝胶电泳表达谱, 尽可能分离和鉴定更多的蛋白. 在双向凝胶电泳第一向等电聚焦水平上, 从上样方式、水化液配方、聚焦时间等方面优化了碱性蛋白的分离条件, 利用超放大胶分离技术搭建了高分辨的双向凝胶电泳分离平台, 构建了人类肝脏蛋白质2-DE参考谱, 检测到5481个蛋白质点. 这是目前国际上最为全面的人体器官蛋白质组2-DE参考谱, 为其他肝病的研究提供了较好的参照系. 成功鉴定了429个非冗余蛋白, 对pH 4.0~7.0, 5.0~6.0, 5.5~6.7, 6.0~9.0部分蛋白质点在胶上进行了注释, 由此构建了人肝2-DE蛋白质表达谱数据库. 对蛋白质的理化性质、功能及亚细胞定位进行了全面分析. 研究中构建的人类肝脏蛋白质2-DE图谱将为肝脏比较蛋白质组学研究提供参考.     

Proteome analysis of spermatogonia: identification of a first set of 53 proteins

During spermatogenesis, the various classes of germ cells synthesize proteins necessary for their own functioning and for regulation of the Sertoli cells. However, the nature of these proteins has been little studied, especially in spermatogonia, the germ stem cells. In this study, the electrophoretic patterns of high-resolution, silver-stained, two-dimensional polyacrylamide gels of intracellular spermatogonial protein extracts were studied by computerized gel image analysis. We detected 675 individual spots, some of which we identified by mass spectrometry and database searching. We present here a first set of 53 proteins identified. They include housekeeping proteins never before detected in spermatogonia, ten proteins previously detected in the reproductive tract but not in spermatogonia, including stathmin, a protein previously shown to be involved in cell proliferation and differentiation, and one new testicular protein named translationally controlled tumor protein (TCTP), also known as a growth-related protein. Immunohistochemistry demonstrated that the two latter proteins were indeed highly expressed in spermatogonia in situ, and their possible involvement in spermatogonial division and proliferation is currently under investigation in our laboratory. We conclude that this type of experimental strategy, known as proteomics, is a very powerful way to analyze germ cell proteins comprehensively and should rapidly greatly improve our understanding of spermatogenesis.     

蛋白质组中蛋白质磷酸化研究进展

随着后基因组时代的到来 ,对生命体器官、组织或细胞的全部蛋白质的表达、修饰及相互作用的研究已成为蛋白质组学的重要任务。蛋白质磷酸化是细胞内信号转导和酶调控最常见的机制之一 ,人类基因组约 2 %的基因编码 5 0 0种激酶和 10 0种磷酸酶。蛋白质磷酸化和去磷酸化作为原核和真核细胞表达调控的关键环节 ,了解其对功能的影响可以深入理解生命系统在分子水平的调控状况。目前蛋白质组磷酸化研究仍是功能基因组面临的重大课题 ,本文对此作一综述     

Proteome Analysis: Genomics via the Output Rather Than the Input Code

A knowledge of the proteome, total protein output encoded by a genome, provides information on (1) if and when predicted gene products are translated, (2) the relative concentrations of gene products, and (3) the extent of posttranslational modification, none of which can be accurately predicted from the nucleic acid sequence alone. The current status of proteome analysis is reviewed with respect to some of the techniques employed, automation, relevance to genomic studies, mass spectrometry and bioinformatics, limitations, and recent improvements in resolution and sensitivity for the detection of protein expression in whole cells, tissues, or organisms. The concept of proteomic contigs is introduced for the first time. Traditional approaches to genomic analysis call upon a number of strategies to produce contiguous DNA sequence information, while proteomic contigs are derived from multiple molecular mass and isoelectric point windows in order to construct a picture of the total protein expression within living cells. In higher eukaryotes, the latter may require several dozen image subsets of protein spots to be stitched together using advanced image analysis. The utility of both experimental and theoretical peptide-mass fingerprinting (PMF) and associated bioinformatics is outlined. A previously unknown motif within the peptide sequence of Elongation Factor Tu from Thermus aquaticus was discovered using PMF. This motif was shown to possess potential significance in maintaining structural integrity of the entire molecule.     

PROTICdb: a web-based application to store, track, query, and compare plant proteome data

PROTICdb is a web-based application, mainly designed to store and analyze plant proteome data obtained by two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) and mass spectrometry (MS). The purposes of PROTICdb are (i) to store, track, and query information related to proteomic experiments, i.e., from tissue sampling to protein identification and quantitative measurements, and (ii) to integrate information from the user's own expertise and other sources into a knowledge base, used to support data interpretation (e.g., for the determination of allelic variants or products of post-translational modifications). Data insertion into the relational database of PROTICdb is achieved either by uploading outputs of image analysis and MS identification software, or by filling web forms. 2-D PAGE annotated maps can be displayed, queried, and compared through a graphical interface. Links to external databases are also available. Quantitative data can be easily exported in a tabulated format for statistical analyses. PROTICdb is based on the Oracle or the PostgreSQL Database Management System and is freely available upon request at the following URL: http://moulon.inra.fr/ bioinfo/PROTICdb.     

A reference map of a human pituitary adenoma proteome

In order to compare the proteomes from different cell types of pituitary adenomas for our long-term goal to clarify the molecular mechanisms that participate in the formation of pituitary adenoma, and to detect any tumor-related marker for an "early-stage" diagnosis, the two-dimensional gel electrophoresis (2-DE) reference map of a pituitary adenoma tissue proteome is described here. A vertical, two-dimensional (2-D) polyacrylamide gel electrophoresis system and PDQuest image analysis software have been used to provide a high level of between-gel reproducibility and to accurately array each protein expressed in a pituitary adenoma tissue. Mass spectrometry (matrix-assisted laser desorption/ionization-time of flight MALDI-TOF and liquid chromatography-electrospray ionization-quadrupole-ion trap LC-ESI-Q-IT) and protein databases were used to characterize each protein in the 2-D gel. The results demonstrate that a good reproducibility of the 2-D gel pattern was attained. The position deviation of matched spots among four 2-D gels was 1.95 +/- 0.45 mm in the isoelectric focusing direction, and 1.70 +/- 0.53 mm in the sodium dodecyl sulfate-polyacrylamide gel electrophoresis direction. A total of ca. 1000 protein spots were separated by 2-DE, and 135 protein spots that represent 111 proteins were characterized with mass spectrometry (96 spots for MALDI-TOF, 39 spots for LC-ESI-Q-IT). The characterized proteins include pituitary hormones, cellular signals, enzymes, cellular-defense proteins, cell-structure proteins, transport proteins, etc. Those proteins were located in the cytoplasmic, cellular membrane, mitochondrial, endoplasmic reticulum, nuclear, ribonucleosome, extracellular fractions, or were secreted in plasma, etc. Those identified proteins contribute to a functional profile of the pituitary adenoma proteome. These data will be used to expand the proteome database of the human pituitary, which can be accessed in the website http://www.utmem.edu /proteomics.     

Mass Spectrometrical Analysis of Galectin Proteins in Primary Rat Cerebellar Astrocytes

Galectins are a family of animal lectins with specificity for β-galactosides and are involved in a host of cellular activities, ranging from development to cancer. The molecules are expressed by neural and non-neural cells intracellularly as well as extracellularly. Using two-dimensional gel electrophoresis coupled to tandem mass spectrometry, the present work aimed to identify and characterize galectins in primary rat cerebellar astrocytes. The protein-chemical method identified nine spots representing two members of the galectin family, namely galectin-1 and galectin-3. These findings suggest that high abundant expression of galectin in astrocytes is limited to the two abundant galectin family members. As these family members are linked to human astrocytic tumors, their reliable detection in astrocytes by proteomic techniques would enable us to further understand their role in neural development, injury, and regeneration in general and astrocytoma in particular.