Multidimensional peptide separations in proteomics

Multidimensional peptide separation will play an increasingly important role in the drive to identify and quantitate the proteome. By increasing the peak and load capacity, multidimensional approaches increase the number and dynamic range of peptides that can be analyzed in a complex biological organism. Separation methods using different physical properties of peptides have been combined with varying degrees of success. The ultimate goal is a rapid separation strategy that can be coupled with analytical methods, such as mass spectrometry, to provide comprehensive monitoring of the changing concentration, interactions, and structures of proteins in the proteome.     

Identification of the hydrophobic glycoproteins of Caenorhabditis elegans

Hydrophobic proteins such as integral membrane proteins are difficult to separate, and therefore to study, at a proteomics level. However, the Asn-linked (N-linked) carbohydrates (N-glycans) contained in membrane glycoproteins are important in differentiation, embryogenesis, inflammation, cancer and metastasis, and other vital cellular processes. Thus, the identification of these proteins and their sites of glycosylation in a well-characterized model organism is the first step toward understanding the mechanisms by which N-glycans and their associated proteins function in vivo. In this report, a proteomics method recently developed by our group was applied to identify 117 hydrophobic N-glycosylated proteins of Caenorhabditis elegans extracts by analysis of 195 glycopeptides containing 199 Asn-linked oligosaccharides. Most of the proteins identified are involved in cell adhesion, metabolism, or the transport of small molecules. In addition, there are 18 proteins for which no function is known or predictable by sequence homologies and two proteins which were previously predicted to exist only on the basis of genomic sequences in the C. elegans database. Because N-glycosylation is initiated in the lumen of the endoplasmic reticulum (ER), our data can be used to reassess the previously predicted subcellular localizations of these proteins. As well, the identification of N-glycosylation sites helps establish the membrane topology of the associated glycoproteins. Caenorhabditis elegans strains are presently available with mutations in 17 of the genes we have identified. The powerful genetic tools available for C. elegans can be used to make other strains with mutations in genes encoding N-glycosylated proteins and thereby determine N-glycan function.     

多维蛋白鉴别技术分析天蓝色链霉菌膜内侧蛋白质组

链霉菌是一类具有重要工业价值和复杂调控机制的微生物,天蓝色链霉菌是这个属的模式菌。已报道天蓝色链霉菌的蛋白组学的研究多采用二维聚丙烯酰胺凝胶电泳与基质辅助激光解吸电离飞行时间质谱相结合的方法,但由于膜蛋白疏水性较强,天然丰度较低,此法得到的膜蛋白很少。用蛋白酶K保护/高pH蛋白酶K法制备链霉菌膜内侧蛋白组样品,并用多维蛋白鉴别技术进行分析,得到154个可能的膜内侧蛋白（包括膜内在蛋白和膜外周蛋白）,其中含跨膜区的膜内在蛋白44个,含3个以上跨膜区的膜内在蛋白有23个。此外,还鉴定了一批膜内侧蛋白的亲水性肽段及其在膜上的拓扑位置。该结果有助于对天蓝色链霉菌的膜蛋白进行拓扑学分类和功能研究。     

Optimization of Data-Dependent Acquisition Parameters for Coupling High-Speed Separations with LC-MS/MS for Protein Identifications

Recent developments in chromatography, such as ultra-HPLC and superficially porous particles, offer significantly improved peptide separation. The narrow peak widths, often only several seconds, can permit a 15-min liquid chromatography run to have a similar peak capacity as a 60-min run using traditional HPLC approaches. In theory, these larger peak capacities should provide higher protein coverage and/or more protein identifications when incorporated into a proteomic workflow. We initially observed a decrease in protein coverage when implementing these faster chromatographic approaches, due to data-dependent acquisition (DDA) settings that were not properly set to match the narrow peak widths resulting from newly implemented, fast separation techniques. Oversampling of high-intensity peptides lead to low protein-sequence coverage, and tandem mass spectra (MS/MS) from lower-intensity peptides were of poor quality, as automated MS/MS events were occurring late on chromatographic peaks. These observations led us to optimize DDA settings to use these fast separations. Optimized DDA settings were applied to the analysis of Trypanosome brucei peptides, yielding peptide identifications at a rate almost five times faster than previously used methodologies. The described approach significantly improves protein identification workflows that use typical available instrumentation.     

Peptide fractionation in proteomics approaches

Peptide fractionation is extremely important in proteomics approaches. Full proteome characterization is desired from complex organisms, and with growing interest in post-translational modifications an extended protein sequence coverage is required. Peptide fractionation techniques have the great challenge of feeding current mass spectrometers in a way in which these issues are met. Peptide fractionation can be divided into three simple components: the column characteristics; the mobile phase; and peptide properties (charge, polarity, hydrophobicity and size). The current challenges are in the combination of these three components to allow comprehensive proteomics studies to be improved.     

现代质谱技术在蛋白质组学中的应用及其最新进展

简述了蛋白质组学的概念、内容和意义,重点综述了现代质谱技术在蛋白质组学中的应用,主要包括蛋白质和肽段的鉴定和定量、蛋白质翻译后修饰的鉴定和蛋白质间相互作用的检测等。随着新的高质量精确度、分辨率、灵敏度和通量质谱仪的出现,现代质谱技术在蛋白质组学中的应用将越来越广泛,并给蛋白质组学研究带来新的机遇。     

Direct Analysis of Protein Mixtures by Tandem Mass Spectrometry

Methods to identify proteins contained in mixtures are described. The approach uses microcolumn liquid chromatography and automated tandem mass spectrometry in conjunction with protein and nucleotide database searching algorithms. This approach is applied to the identification of proteins obtained by immunoprecipitation reactions, interaction with a GST protein fusion products and interaction with a macromolecular complex.     

生物质谱与蛋白质组学

蛋白质组学是后基因组学时代最受关注的研究领域之一,其核心的鉴定技术——生物质谱近年来在仪器设计以及鉴定通量、分辨率和灵敏度等各方面均有质的飞跃,促进了蛋白质表达谱作图、定量蛋白质组分析、亚细胞器蛋白质组作图、蛋白质翻译后修饰以及蛋白质相互作用等蛋白质组研究各个领域的飞速发展。本综述了生物质谱技术的最新进展,及其在蛋白质组学研究中的应用。     

多维液相色谱及其在生命科学中的应用

介绍了一种适用于复杂体系样品分析的分离技术-多维液相色谱。对该技术的原理、分类、模式的选择做了介绍,并引证了其在蛋白质组研究、药物研究等复杂体系样品分析领域的最新应用及发展。     

串联质谱数据的从头解析与蛋白质的数据库搜索鉴定

蛋白质的鉴定是蛋白质组学研究中必不可少的一步。用串联质谱 (tandemmassspectrometry ,MS/MS)可以进行多肽的从头测序 (denovosequencing) ,并搜索数据库以鉴定蛋白质。用图论以及真实谱 理论谱联配 (alignment)的方法对串联质谱得到的多肽图谱进行从头解析 ,得到了可靠的多肽序列 ,并应用到数据库搜索中鉴定了相应的蛋白质。同时 ,还用统计的方法对SwissProt以及TrEMBL蛋白质数据库进行了详细的分析。结果表明 ,3个四肽或者 2个五肽或者 1个八肽一般可以唯一地确定一个蛋白质     

SubCellBarCode: Proteome-wide Mapping of Protein Localization and Relocalization

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磷蛋白组的研究技术及其进展

真核细胞中蛋白质磷酸化是一个重要事件。真核细胞利用可逆的蛋白磷酸化来控制许多细胞过程包括信号转换、基因表达、细胞周期等。磷蛋白组的研究涉及磷蛋白的分离和鉴定 ,磷酸化残基定位和定量分析。由于蛋白质磷酸化是一个动态过程 ,在细胞中磷蛋白含量低 ,磷酸化位点可变 ,且磷酸肽的质谱信号常常会受到抑制 ,所以磷蛋白的分析存在更多的困难。本文介绍了国内外在磷酸蛋白的分离鉴定及定量分析方面的研究技术以及进展情况。目前 ,质谱仍然是核心的鉴定技术 ,寻找更好富集方法是最大的挑战。定量蛋白组学是对蛋白质的差异表达进行精确的定量分析。目前还不存在一种独立的方法可以完成磷蛋白的分离、鉴定 ,以及磷酸位点的定位和定量分析。随着样品分离技术和相关仪器的发展 ,磷酸蛋白快速、准确、全面分析鉴定将能够实现。     

Synapse proteomics: current status and quantitative applications

Chemical synapses are key organelles for neurotransmission. The coordinated actions of protein networks in diverse synaptic subdomains drive the sequential molecular events of transmitter release from the presynaptic bouton, activation of transmitter receptors located in the postsynaptic density and the changes of postsynaptic potential. Plastic change of synaptic efficacy is thought to be caused by the alteration of protein constituents and their interaction in the synapse. As a first step toward the understanding of the organization of synapse, several proteomics studies have been carried out to profile the protein constituents and the post-translational modifications in various rodent excitatory chemical synaptic subdomains, including postsynaptic density, synaptic vesicle and the synaptic phosphoproteome. Quantitative proteomics have been applied to examine the changes of synaptic proteins during brain development, in knockout mice model developed for studies of synapse physiology and in rodent models of brain disorders. These analyses generate testable hypotheses of synapse function and regulation both in health and disease.     

Multidimensional protein identification technology: current status and future prospects

Protein profiling using high-throughput tandem mass spectrometry has become a powerful method for analyzing changes in global protein expression patterns in cells and tissues as a function of developmental, physiologic and disease processes. This review summarizes the utility and practical application of multidimensional protein identification technology as a platform for comprehensive proteomic profiling of complex biologic samples. The strengths and potential problems and limitations associated with this powerful technology are discussed, with an emphasis placed on one of the biggest challenges currently facing large-scale expression profiling projects – namely, data analysis. Complementary bioinformatic computational data mining strategies, such as clustering, functional annotation and statistical inference, are also discussed as these are increasingly necessary for interpreting the results of global proteomic profiling studies.     

The Use of Ammonium Formate as a Mobile-Phase Modifier for LC-MS/MS Analysis of Tryptic Digests

A major challenge facing current mass spectrometry (MS)-based proteomics research is the large concentration range displayed in biological systems, which far exceeds the dynamic range of commonly available mass spectrometers. One approach to overcome this limitation is to improve online reversed-phase liquid chromatography (RP-LC) separation methodologies. LC mobile-phase modifiers are used to improve peak shape and increase sample load tolerance. Trifluoroacetic acid (TFA) is a commonly used mobile-phase modifier, as it produces peptide separations that are far superior to other additives. However, TFA leads to signal suppression when incorporated with electrospray ionization (ESI), and thus, other modifiers, such as formic acid (FA), are used for LC-MS applications. FA exhibits significantly less signal suppression, but is not as effective of a modifier as TFA. An alternative mobile-phase modifier is the combination of FA and ammonium formate (AF), which has been shown to improve peptide separations. The ESI-MS compatibility of this modifier has not been investigated, particularly for proteomic applications. This work compares the separation metrics of mobile phases modified with FA and FA/AF and explores the use of FA/AF for the LC-MS analysis of tryptic digests. Standard tryptic-digest peptides were used for comparative analysis of peak capacity and sample load tolerance. The compatibility of FA/AF in proteomic applications was examined with the analysis of soluble proteins from canine prostate carcinoma tissue. Overall, the use of FA/AF improved online RP-LC separations and led to significant increases in peptide identifications with improved protein sequence coverage.     

Drosophila Protein interaction Map (DPiM)

Proteins perform essential cellular functions as part of protein complexes, often in conjunction with RNA, DNA, metabolites and other small molecules. The genome encodes thousands of proteins but not all of them are expressed in every cell type; and expressed proteins are not active at all times. Such diversity of protein expression and function accounts for the level of biological intricacy seen in nature. Defining protein-protein interactions in protein complexes, and establishing the when, what and where of potential interactions, is therefore crucial to understanding the cellular function of any protein—especially those that have not been well studied by traditional molecular genetic approaches. We generated a large-scale resource of affinity-tagged expression-ready clones and used co-affinity purification combined with tandem mass-spectrometry to identify protein partners of nearly 5,000 Drosophila melanogaster proteins. The resulting protein complex “map” provided a blueprint of metazoan protein complex organization. Here we describe how the map has provided valuable insights into protein function in addition to generating hundreds of testable hypotheses. We also discuss recent technological advancements that will be critical in addressing the next generation of questions arising from the map.     

蛋白质组学技术在网络药理学中的应用

蛋白质组学发展至今已日趋成熟,在生物医药相关领域研究中的应用显著增加,与之相关的样品制备技术、蛋白定量方法及先进的质谱仪器也得到了快速发展。网络药理学是近年来提出的新药发现新策略,是药理学的新兴分支学科,它从整体的角度探索药物与疾病的关联性,发现药物靶标,指导新药研发。将蛋白质组学技术应用于网络药理学研究,能使研究人员系统地预测和解释药物的作用,加速药物靶点的确认,从而设计多靶点药物或药物组合。综述了蛋白质组学技术的新近研究进展,并简单概述了其在网络药理学中的应用。     

Advances in quantitative proteomics using stable isotope tags

A great deal of current biological and clinical research is directed at the interpretation of the information contained in the human genome sequence in terms of the structure, function and control of biological systems and processes. Proteomics, the systematic analysis of proteins, is becoming a critical component in this endeavor because proteomic measurements are carried out directly on proteins – the catalysts and effectors of essentially all biological functions. To detect changes in protein profiles that might provide important diagnostic or functional insights, proteomic analyses necessarily have to be quantitative. This article summarizes recent technological advances in quantitative proteomics.