蛋白质组学定量的技术与方法研究进展

蛋白质组学是一门在整体水平上研究细胞内蛋白质组成及其活动规律的新兴学科。定量蛋白质组学是指通过某种方法或技术，对生物样品(细胞、组织或体液等)在某些过程中蛋白质的含量进行比较分析。近几年来，定量蛋白质组的技术发展很快，稳定同位素标记技术的提出，为准确定量在细胞或组织体系中发挥重要功能的低丰度蛋白质提供了一个理想的方法。本文综述了蛋白质组定量分析技术及其最新的研究进展。     

生物质谱--蛋白质组研究的关键技术

介绍了近几年来国际上重点研究的几类新型生物质谱技术,综述了它们在蛋白质组研究中的最新进展,比较了各自的特点,简要评价了它们在蛋白质组研究中的应用和前景。     

表面等离子体共振技术在蛋白质-蛋白质相互作用研究中的应用

表面等离子共振(SPR)近年来迅速发展为用于分析生物分子相互作用的一项技术.该技术无需标记、特异性强、灵敏度高、样品用量小,可实现在线连续实时检测.目前SPR已被广泛应用于免疫学、蛋白质组学、药物筛选、细胞信号转导、受体/配体垂钓等领域.该文阐述了基于表面等离子体共振技术生物传感器的基本原理和技术流程,综述了SPR在蛋白质-蛋白质相互作用动力学研究、蛋白质结构及功能研究、蛋白质突变和碎片分析、信号转导中的应用以及SPR在蛋白质-蛋白质相互作用研究中的多项关键技术.指出SPR通过与光谱、电化学等多技术联用后,可以获得更加详实的信息.     

亲和层析在蛋白质研究中的应用进展

文中介绍了生物、免疫、固定化金属离子拟生物几类常规亲和层析的原理及其在蛋白质分离纯化以及分析鉴定方面的应用（引用文献25篇）。     

离子液与蛋白质和核酸相互作用的研究

离子液因其具有良好的生物兼容性和独特的理化性质,近年来在生物催化和生物大分子蛋白质与核酸的分离分析领域得到广泛应用。离子液与生物大分子相互作用的研究是离子液相关理论与应用研究的基础,有关离子液与蛋白质和核酸相互作用的机理研究受到关注。本文简要介绍了常用离子液的分类,离子液与蛋白质分子作用的机理,离子液与核酸分子作用的机理,以及离子液在酶催化反应、生物分子分离、生物分子电化学分析和毛细管电泳分析中的应用,并主要综述了近年的相关研究和应用进展。     

基于多肽的电化学传感器在蛋白质检测中应用的研究进展

生物体内的细胞通常会分泌各种各样的蛋白质,这些蛋白质在生物体中发挥着重要作用,尤其是可被用于诊断各种疾病的发生和发展。多肽具有良好选择性、空间适应能力和识别灵活的特点,可与不同类型的蛋白分子形成非共价键,用于蛋白质的生物检测。将多肽与电化学生物传感器结合用于蛋白质的广谱检测具有良好的发展前景。本文介绍了多肽修饰的电化学传感器在不同蛋白质检测方面的研究进展,分析了待测蛋白质的不同对多肽修饰的电化学传感器分类的影响及其优缺点,提出了基于多肽的电化学传感器在不同蛋白质检测中存在的问题,并展望了其未来发展。     

基于生物质谱的定量蛋白质组学研究进展

随着蛋白质组研究和生物质谱技术的发展,大规模的蛋白质组相对定量和绝对定量已经成为了解生命活动进程、疾病发生发展过程以及生物标志物筛选和验证的重要策略,并形成蛋白质组学研究领域的一个重要分支：定量蛋白质组学.综述了近年来定量蛋白质组学的研究进展,并对其中的关键技术进行讨论.     

基于蛋白质分子自组装体系的构建

蛋白质是一类功能丰富、结构独特的生物大分子,具有高度的自组装特性。氨基酸通过酰胺键形成序列确定的肽链,是蛋白质的基本构成单元。肽链通过弱相互作用控制肽链折叠以及蛋白质高级结构的形成。同时,蛋白质是一种来源丰富、生物可降解以及生物相容性可再生资源,利用蛋白质的自组装特性构建具有生物功能的可控自组装体系是纳米科学、材料科学以及生物医学等学科潜在的研究课题之一。本文从分子科学的角度解析了蛋白质三维结构的自组装特性,进一步探讨蛋白质热变性后自组装、金属诱导的蛋白质自组装、蛋白质与高分子的自组装以及蛋白质杂化体的自组装。旨在进一步认识和理解蛋白质的自组装特性,并为设计和构建结构可控及功能独特的自组装体系提供思路。     

分子量条带用蛋白质

蛋白质的生物化学、生物物理学及化学生物学研究中,凝胶电泳是常见且重要的分析手段。然而其背后所蕴含的一众有关蛋白质结构及功能的知识点长期被国内外本科相关专业教学忽略。从探讨蛋白质凝胶电泳的分子量指示物的筛选标准出发,分析比较了几类常见的分子量指示物,并基于一级结构和高级结构的稳定性对分子量条带用蛋白质的筛选提出了一些合理的推论。     

基于分子信标探针和生物功能化纳米颗粒的蛋白质分析

随着人类基因组测序计划的完成,生命科学研究热点逐渐由基因组学向蛋白质组学转移.分析化学工作者利用分子信标探针和生物功能化纳米颗粒的固有优势,发展了一系列新原理、新方法和新技术并在蛋白质组学研究领域得到了广泛应用,极大地促进了蛋白质组学的发展和进步.本文主要综述了基于分子探针和生物功能化纳米颗粒开展的一系列实时、原位、灵敏、特异的蛋白质分析研究,包括:非特异性/特异性蛋白质的检测与分离、蛋白质/DNA相互作用研究、细胞表面蛋白质的识别,以及基于抗原-抗体反应的病原菌检测等,并进一步展望了基于分子信标探针和生物功能化纳米颗粒的蛋白质分析研究的发展前景与关键问题.     

Establishment of “one-piece” large-gel 2-DE for high-resolution analysis of small amounts of sample using difference gel electrophoresis saturation labelling

Large-gel two-dimensional gel electrophoresis (2-DE) is the method of choice for high-resolution proteome analysis of complex protein mixtures. Until now, however, the advantages of large 2-DE in combination with multiplexed fluorescence dye protein labelling has been complicated by the separate handling and analysis of the second-dimension gels. Therefore, we adapted the large 2-DE procedure allowing us to run “one-piece” large 2-DE gels (40 cm × 30 cm) in the second dimension for high resolution proteome analysis. Here, we show that in combination with fluorescence dye protein saturation labelling “one-piece” large 2-DE enables analysis of small amounts of sample (3 μg protein) for high-resolution proteome analysis.     

Chip-based nano-LC-MS/MS identification of proteins in complex biological samples using a novel polymer microfluidic device

Although the proteome of each organism is unambiguously coded in its genome, the proteome shows the real biology in action in each particular organism. New powerful tools are being developed for biochemists and biologists to analyze complex biological samples for studying the complete protein supplement of the genome, i. e., the proteome. There are several methods available for proteome analysis including 2-DE and several forms of MS. In recent years, technologies such as microfluidics and array-based systems have appeared in the field of analysis, identification, and quantification of proteins. These novel approaches might help in solving current technical challenges in proteomics. This paper presents a practical application of the first commercially available microfluidic nano-ESI device coupled with nano-LC (i. e., HPLC-chip) for the analysis of samples of some biological protein mixtures.     

Capillary separations enabling tissue proteomics-based biomarker discovery

Development of the capability to enable large-scale proteome studies, analogous to comprehensive gene expression analysis, will clearly have far-reaching impacts on protein biomarker investigations of human diseases such as cancer through interrogation of the archived fresh frozen and formalin-fixed and paraffin-embedded tissue collections. This review therefore focuses on the most recent advances in microdissection techniques and proteome platforms for procuring homogeneous subpopulations of tumor cells or structures and performing comprehensive analysis of protein profiles within tissue specimens, respectively. Developments in capillary separations capable of providing extremely high resolving power and selective analyte enrichment are particularly highlighted for their roles within the broader context of a state-of-the-art integrated tissue proteome effort. The capabilities of CIEF-based multidimensional separations for performing proteome analysis from minute samples create new opportunities in the pursuit of biomarker discovery using enriched and selected cell populations procured from tissue specimens. These proteome technological advances combined with recently developed tissue microdissection techniques provide powerful tools for those seeking to gain a greater understanding at the global level of the cellular machinery associated with human diseases such as cancer.     

Shotgun proteomic analysis of microdissected postmortem human pituitary using complementary two-dimensional liquid chromatography coupled with tandem mass spectrometer

The pituitary is responsible for multiple homeostatic functions including metabolism, growth and reproduction. Proteome analysis offers an efficient approach for a comprehensive analysis of pituitary protein expression. The pituitary is usually acquired from postmortem specimens, which may potentially affect the proteome profile by proteolysis. The aim of this study was to determine whether the postmortem pituitary could be used in proteomic analysis combining with Laser capture microdissection (LCM). Digested peptides from LCM captured prolactin (PRL) cells were separated by two dimensional-nanoscale liquid chromatography (2D-nanoLC/MS) and characterized by tandem mass spectrometry (MS). All MS/MS spectrums were searched by SEQUEST and a proteome of 1660 proteins was identified. Category analysis of the proteome revealed an extensive unbiased access to cell component proteins with diverse functional characteristics. The results demonstrated the ability of using 2D-nanoLC/MS to perform sensitive proteomic analysis on limited protein quantities through microdissection. Detailed comparisons between the proteome in question and the one derived from the prolactinoma controls at peptide and protein levels indicated that the two proteomes had similar characters. Overall, our results revealed for the first time the possibility of use of postmortem human pituitary for proteomic research which is important for further studies on disease biomarker identification and molecular mechanisms of prolactinoma tumorigenesis.     

Evaluation of sample extraction methods for proteomics analysis of green algae Chlorella vulgaris

Many protein extraction methods have been developed for plant proteome analysis but information is limited on the optimal protein extraction method from algae species. This study evaluated four protein extraction methods, i.e. direct lysis buffer method, TCA‐acetone method, phenol method, and phenol/TCA‐acetone method, using green algae Chlorella vulgaris for proteome analysis. The data presented showed that phenol/TCA‐acetone method was superior to the other three tested methods with regards to shotgun proteomics. Proteins identified using shotgun proteomics were validated using sequential window acquisition of all theoretical fragment‐ion spectra (SWATH) technique. Additionally, SWATH provides protein quantitation information from different methods and protein abundance using different protein extraction methods was evaluated. These results highlight the importance of green algae protein extraction method for subsequent MS analysis and identification.     

QCAL—a novel standard for assessing instrument conditions for proteome analysis

If proteome datasets are to be collated, shared, and merged for higher level proteome analyses, there is a need for generally accepted strategies and reagents for optimization and standardization of instrument performance. At present, there is no single protein or peptide standard set that is capable of assessing instrument performance for peptide separation and analysis in this manner. To create such a standard, we have used the recently described QconCAT methodology to generate an artificial protein, QCAL. This protein, a concatenation of tryptic peptides that is expressed in E. coli, provides a stoichiometrically controlled mixture of peptides that are amenable to analysis by all commonly used instrumentation platforms for proteomics.     

Mass Spectrometric Characterization of Protein Structure Details Refines the Proteome Signature for Invasive Ductal Breast Carcinoma

Early diagnosis as well as individualized therapies are necessary to reduce the mortality of breast cancer, and personalized patient care strategies rely on novel prognostic or predictive factors. In this study, with six breast cancer patients, 2D gel analysis was applied for studying protein expression differences in order to distinguish invasive ductal breast carcinoma, the most frequent breast tumor subtype, from control samples. In total, 1203 protein spots were assembled in a 2D reference gel. Differentially abundant spots were subjected to peptide mass fingerprinting for protein identification. Twenty proteins with their corresponding 38 differentially expressed 2D gel spots were contained in our previously reported proteome signature, suggesting that distinct protein forms were contributing. In-depth MS/MS measurements enabled analyses of protein structure details of selected proteins. In protein spots that significantly contributed to our signature, we found that glyceraldehyde-3-phosphate dehydrogenase was N-terminally truncated, pyruvate kinase M2 and nucleoside diphosphate kinase A but not other isoforms of these proteins were of importance, and nucleophosmin phosphorylation at serine residues 106 and 125 were clearly identified. Principle component analysis and hierarchical clustering with normalized quantitative data from the 38 spots resulted in accurate separation of tumor from control samples. Thus, separation of tissue samples as in our initial proteome signature could be confirmed even with a different proteome analysis platform. In addition, detailed protein structure investigations enabled refining our proteome signature for invasive ductal breast carcinoma, opening the way to structure-/function studies with respect to disease processes and/or therapeutic intervention.     

Recent advances in computational analysis of mass spectrometry for proteomic profiling

The proteome, defined as an organism's proteins and their actions, is a highly complex end-effector of molecular and cellular events. Differing amounts of proteins in a sample can be indicators of an individual's health status; thus, it is valuable to identify key proteins that serve as 'biomarkers' for diseases. Since the proteome cannot be simply inferred from the genome due to pre- and posttranslational modifications, a direct approach toward mapping the proteome must be taken. The difficulty in evaluating a large number of individual proteins has been eased with the development of high-throughput methods based on mass spectrometry (MS) of peptide or protein mixtures, bypassing the time-consuming, laborious process of protein purification. However, proteomic profiling by MS requires extensive computational analysis. This article describes key issues and recent advances in computational analysis of mass spectra for biomarker identification.     

Proteome analysis of <Emphasis Type="Italic">Apis mellifera</Emphasis> royal jelly

Royal jelly plays a pivotal role in the development of honey bee larvae. However, while various health promoting properties of royal jelly have been reported, most of the active substances within royal jelly that lead to these properties are still unknown. Since up to 50% (dry mass) of royal jelly is protein, royal jelly proteome analysis is a promising starting point for attempts to identify the proteins that provide health-promoting effects. However, the comprehensive analysis of royal jelly proteins is hampered by the enormous abundance of some proteins in the major royal jelly protein family, which constitutes 80–90% of the royal jelly proteome. The high heterogeneity of these proteins is an additional challenge for proteomic analysis, since it necessitates the use of analytical techniques that provide high resolution and a wide dynamic range. The application of individual methods such as 2D-PAGE or multidimensional chromatography can only yield certain subpopulations of a proteome due to the specific bias of each method. We applied different methods for the prefractionation and separation of royal jelly proteins in order to circumvent the shortcomings of the individual techniques and achieve a high coverage of the royal jelly proteome. In this way, we were able to identify 20 different proteins in total, as well as to show a very high degree of cleavage of different proteins of the major royal jelly protein family. Furthermore, we investigated the protein phosphorylation of royal jelly proteins, and identified and located two phosphorylation sites within venom protein 2. Electronic supplementary material The online version of this article doi:) contains supplementary material, which is available to authorized users.     

How many proteins can be identified in a 2DE gel spot within an analysis of a complex human cancer tissue proteome?

Two‐dimensional gel electrophoresis (2DE) in proteomics is traditionally assumed to contain only one or two proteins in each 2DE spot. However, 2DE resolution is being complemented by the rapid development of high sensitivity mass spectrometers. Here we compared MALDI‐MS, LC‐Q‐TOF MS and LC‐Orbitrap Velos MS for the identification of proteins within one spot. With LC‐Orbitrap Velos MS each Coomassie Blue‐stained 2DE spot contained an average of at least 42 and 63 proteins/spot in an analysis of a human glioblastoma proteome and a human pituitary adenoma proteome, respectively, if a single gel spot was analyzed. If a pool of three matched gel spots was analyzed this number further increased up to an average of 230 and 118 proteins/spot for glioblastoma and pituitary adenoma proteome, respectively. Multiple proteins per spot confirm the necessity of isotopic labeling in large‐scale quantification of different protein species in a proteome. Furthermore, a protein abundance analysis revealed that most of the identified proteins in each analyzed 2DE spot were low‐abundance proteins. Many proteins were present in several of the analyzed spots showing the ability of 2DE‐MS to separate at the protein species level. Therefore, 2DE coupled with high‐sensitivity LC‐MS has a clearly higher sensitivity as expected until now to detect, identify and quantify low abundance proteins in a complex human proteome with an estimated resolution of about 500 000 protein species. This clearly exceeds the resolution power of bottom‐up LC‐MS investigations.