基于质谱的蛋白质组学技术在食品真伪鉴别及品质识别方面的应用

蛋白质组学作为后基因组时代的一个新研究方向,近几年发展迅速,目前已应用于多个领域,在食品品质检测和安全控制方面成为有力的研究工具。蛋白质组学为食品科学的相关研究打开了新思路,不仅可以鉴定蛋白质种类,还可进行蛋白质定量,为分析不同物种、产地、成熟阶段的食品蛋白质组分和含量提供了可能。蛋白质组学研究手段多样,质谱是常用技术之一。该文介绍了蛋白质组学的概念、分类、研究技术以及常见蛋白质数据库,综述了基于质谱的蛋白质组学技术在真伪鉴别和品质检测方面的应用,涉及海鲜、肉制品、奶制品、保健食品及高附加值食品等多种食品,并对蛋白质组学的发展进行了展望。     

蛋白质甲基化修饰的蛋白质组学分析方法新进展

蛋白质的甲基化修饰是一类重要的翻译后修饰。但与磷酸化、糖基化和泛素化等翻译后修饰相比,甲基化修饰的蛋白质组学分析方法开发还是一个较新的研究领域。近几年,由于甲基化修饰在表观遗传调控中的重要作用,这一修饰类型得到了越来越多的关注,相关的分析技术和分析方法也取得了较多进展。其中,基于质谱的蛋白质组学分析方法在甲基化修饰中发挥着关键的作用,实现了这一甲基化修饰的高通量分析。该综述将从甲基化修饰的分离富集、假阳性率控制以及定量蛋白质组学等方面对一些蛋白质甲基化修饰的分析技术和方法的最新进展进行介绍。     

蛋白质组驱动的精准医学研究进展

蛋白质是细胞的重要组成成分,参与人体各种代谢及生理功能的调控.蛋白质组学可以分析蛋白质表达水平、修饰状态和细胞内蛋白质相互作用,为研究这些分子在疾病发生和发展的不同阶段的变化提供了全局视角.近年来,临床蛋白质组学已被证实在疾病的早期诊断、预后和病情发展监测中发挥重要作用,并由此提出了蛋白质组学驱动的精准医学的概念.该文...     

羰基化蛋白质组学分析进展

蛋白质羰基化作为一种不可逆的翻译后修饰,与诸多疾病和衰老密切相关。有关蛋白质羰基化的各项研究受制于其低丰度、低电离效率及化学相对不稳定性而发展较慢。基于质谱的蛋白质组学分析技术的进步,使蛋白质羰基化的规模化研究成为可能,进而为蛋白质羰基化的相关调控通路研究提供了数据支撑。该综述介绍了蛋白质羰基化的概念、途径、检测方式,并重点介绍了蛋白组学技术应用于蛋白质羰基化分析的进展。     

完整糖基化肽段的富集与质谱解析新技术研究进展

蛋白质糖基化是生物体内最重要的翻译后修饰之一,在蛋白质稳定性、细胞内和细胞间信号转导、激素活化或失活和免疫调节等生理过程和病理进程中发挥重要作用。而异常的蛋白质糖基化往往和多种疾病的发生发展密切相关,目前应用于临床检测的多种肿瘤生物标志物大多属于糖蛋白或者糖抗原。因此在组学层次系统分析蛋白质糖基化的变化对阐明生物体内糖基化修饰的调控机理和发现新型疾病标志物都非常重要。基于质谱的蛋白质组学技术为全面分析蛋白质及其修饰提供了有效的分析手段。在自下而上的蛋白质组学研究中,由于完整糖基化肽段同时存在性质各异的肽段骨架和糖链结构、糖肽的相对丰度和离子化效率较低以及糖基化修饰有高度异质性等特点,完整糖肽的分析比其他翻译后修饰更加困难。近年来,为了更全面、系统地分析蛋白质糖基化,研究人员发展了一些新技术,包括完整糖肽的富集技术、质谱的碎裂模式和数据采集模式、质谱数据的解析方法和定量策略等等,大力推进了该领域的研究水平,也为研究蛋白质糖基化相关的生物标志物提供了技术支持。该篇综述主要关注近年来基于质谱的糖蛋白质组学研究中的新进展,重点介绍针对完整N-和O-糖基化肽段的富集新技术和谱图解析新方法,并讨论其在肿瘤早期诊断方面的应用潜力。     

色谱技术在蛋白质组学研究中的应用引言

蛋白质组是指一个有机体的基因组所表达的全部蛋白质。蛋白质组学是研究有机体蛋白质的组成及其变化规律的科学。蛋白质组成的高度复杂性和随时间、空间变化的特点,对蛋白质组的研究技术和方法提出了巨大挑战。色谱作为现代分离科学的核心技术之一,在蛋白质组研究中发挥了重要作用。我们可以通过对组织、细胞或体液中成千上万种蛋白质/多肽的色谱预分离,降低样本的复杂程度,提高蛋白质的鉴定率;我们可以通过亲和色谱对翻译后修饰的蛋白质/多肽进行特异性富集分离,去除非修饰的蛋白质/多肽,实现修饰蛋白的成功鉴定;我们还可以通过色谱 质谱联用技术,获得蛋白质/多肽在色谱分离中的保留时间或峰面积,实现蛋白质的规模化定量与鉴定等。 为了集中展示我国科学家在色谱技术及其在蛋白质组学研究中的应用方面所取得的成果,《色谱》杂志特此在2010年第2期编辑出版了“色谱技术在蛋白质组学研究中的应用”专栏。我们邀请了在该领域具有突出成绩或学术造诣的部分专家、学者撰写了相关的学术论文和综述。希望通过这些文章所介绍的工作,为进一步提高色谱技术在蛋白质组学研究中的应用水平,推动我国蛋白质组学的发展和取得创新性的研究成果作出贡献。     

分离分析技术在蛋白质组学研究中应用的新进展

蛋白质组学研究的核心技术之一是分离分析方法。该综述重点评述了分离分析技术在蛋白质组学研究,即在蛋白质组表达谱构建、翻译后修饰蛋白质组研究、蛋白质复合体和相互作用研究、蛋白质组定量研究中应用的新进展,介绍了各种分离分析方法的优点、应用范围和有待解决的问题。引用文献89篇。     

毛细管电泳-质谱联用技术及其在蛋白质组学中的应用

蛋白质组学研究在生物学、精准医学等方面发挥着重要的作用。然而研究面临的巨大挑战来自生物样品的复杂性,因此在质谱（MS）鉴定技术不断革新的同时,发展分离技术以降低样品复杂度尤为重要。毛细管电泳（CE）技术具有上样体积小、分离效率高、分离速度快等优势,其与质谱的联用在蛋白质组学研究中越来越受到关注。低流速鞘流液和无鞘流液接口的发展及商品化推动了CE-MS技术的发展。目前毛细管区带电泳（CZE）、毛细管等电聚焦（CIEF）、毛细管电色谱（CEC）等分离模式已与质谱联用,其中CZE-MS应用最广泛。目前被广泛采用的蛋白质组学研究策略主要是基于酶解肽段分离鉴定的"自下而上（bottom-up）"策略。首先,CE-MS技术对酶解肽段的检测灵敏度高达1 zmol,已成功应用于单细胞蛋白质组学;其次,毛细管电泳技术与反相液相色谱互补,为疏水性质相近的肽段（尤其是翻译后修饰肽段）的分离鉴定提供了新的途径。基于整体蛋白质分离鉴定的自上而下"top-down"策略可以直接获得更精准、更完整的蛋白质信息。CE技术在蛋白质大分子的分离方面具有分离效率高、回收率高的优势,其与质谱的联用提高了整体蛋白质的鉴定灵敏度和覆盖度。非变性质谱（native MS）是一种在近生理条件下从完整蛋白质复合物水平上进行分析的质谱技术。CE与非变性质谱联用已被尝试用于蛋白质复合体的分离鉴定。该文引用了与CE-MS和蛋白质组学应用相关的93篇文献,综述了以上介绍的CE-MS的研究进展以及在蛋白质组学分析中的应用优势,并总结和展望了其应用前景。     

蛋白质组学方法研究葡萄糖对人血清白蛋白的修饰作用

晚期糖基化终产物是一组由不同种类物质组成的复杂混合物,其与很多疾病相关,如糖尿病及其并发症、肾衰竭以及与老龄化相关等疾病.人血清白蛋白(HSA)是血清中含量最丰富的蛋白质.葡萄糖对血液中的HSA和其它蛋白质的结构具有修饰作用,发生糖基化反应.本文利用LC/MS联用技术,通过蛋白质组学方法,寻找差异肽段,研究糖基化HSA的修饰位点以及修饰种类,对于进一步寻找临床诊断糖尿病以及与老龄化相关疾病的肽类生物标志物具有重要意义.     

选择性反应监测技术在蛋白质组学研究中的进展及应用

选择性反应监测（SRM）技术作为一种重要的定向蛋白质分析技术,通过选择性检测特定母离子和子离子来排除非目标组分的干扰,增强了检测灵敏度和定量准确度,具有选择性高、重复性好、灵敏度高、动态范围宽等优点,已被广泛应用于定量蛋白质组学研究,在生命科学领域发挥着至关重要的作用。本文从分析通量、检测灵敏度、定量方法以及相关软件资源4个方面,对近期SRM技术的研究进展进行了综述。然后,对SRM技术在蛋白质组学研究包括生物标志物验证、蛋白质翻译后修饰研究、生物工程以及信号通路分析等领域中的应用进行了概述。最后,本文对SRM技术的应用以及发展前景进行了展望。     

Guanidination chemistry for qualitative and quantitative proteomics

The application of guanidination chemistry, the conversion of lysine into homoarginine residues, is used to illustrate several important general considerations relating to the use of differential isotope labelling for relative quantification in proteomics. The derivatisation procedure has been optimised for automation using a liquid handling station designed for proteomics. Automated application of the procedure to the analysis of in-gel tryptic digests of multiple spots from the two-dimensional gel electrophoretic (2DE) analysis of proteins from the FDCP-mix cell line shows near-universal improvement in protein identification as a result of derivatisation. This chemistry has been extended for relative quantification, applicable to matrix-assisted laser desorption/ionisation mass spectrometry (MALDI-MS) and also tandem mass spectrometry (MS/MS). It provides a robust method for the quantitative comparison of two samples that have been separated by 2DE. A peptide pair may display poor detection during MS analysis, causing their reliable relative quantification to be difficult. In such circumstances, the additional selectivity of detection provided by MS/MS can substantiate identification and allow relative quantification of these species via product ion signal ratios.     

Gel-based versus gel-free proteomics: a review

With the sequencing of the genome of over 150 organisms, the field of biology has been revolutionised. Instead of studying one gene or protein at the time, it is now possible to study the effect of physiological or pathological changes on the expression of all genes or proteins in the organism. Proteomics aims at the simultaneous analysis of all proteins expressed by a cell, tissue or organism in a specific physiological condition. Because proteins are the effector molecules in all organisms, it is evident that changes in the physiological condition of an organism will be reflected by changes in protein expression and/or processing. Since the formulation of the concept of proteomics in the mid 90's proteomics has relied heavily on 2 dimensional gel electrophoresis (2DGE) for the separation and visualization of proteins. 2DGE, however, has a number of inherent drawbacks. 2DGE is costly, fairly insensitive to low copy proteins and cannot be used for the entire proteome. Therefore, over the years, several gel-free proteomics techniques have been developed to either fill the gaps left by 2DGE or to entirely abolish the gel based techniques. This review summarizes the most important gel-free and gel-based proteomics techniques and compares their advantages and drawbacks.     

Refining comparative proteomics by spectral counting to account for shared peptides and multiple search engines

Spectral counting has become a widely used approach for measuring and comparing protein abundance in label-free shotgun proteomics. However, when analyzing complex samples, the ambiguity of matching between peptides and proteins greatly affects the assessment of peptide and protein inventories, differentiation, and quantification. Meanwhile, the configuration of database searching algorithms that assign peptides to MS/MS spectra may produce different results in comparative proteomic analysis. Here, we present three strategies to improve comparative proteomics through spectral counting. We show that comparing spectral counts for peptide groups rather than for protein groups forestalls problems introduced by shared peptides. We demonstrate the advantage and flexibility of this new method in two datasets. We present four models to combine four popular search engines that lead to significant gains in spectral counting differentiation. Among these models, we demonstrate a powerful vote counting model that scales well for multiple search engines. We also show that semi-tryptic searching outperforms tryptic searching for comparative proteomics. Overall, these techniques considerably improve protein differentiation on the basis of spectral count tables.     

Biosensor chip mass spectrometry: a chip-based proteomics approach

Rapid advances in genomic sequencing, bioinformatics, and analytical instrumentation have created the field of proteomics, which at present is based largely on two-dimensional electrophoresis (2-DE) separation of complex protein mixtures and identification of individual proteins using mass spectrometry. These analyses provide a wealth of data, which upon further evaluation leads to many questions regarding the structure and function of the proteins. The challenge of answering these questions create a need for high-specificity approaches that may be used in the analysis of biomolecular recognition events and interacting partners, and thereby places great demands on general protein characterization instrumentation and the types of analyses they need to perform. Over the past five years we have been actively involved in interfacing two general, instrumental techniques, surface plasmon resonance-biomolecular interaction analysis (SPR-BIA) and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry, into a single concerted approach for use in the functional and structural characterization of proteins. Reviewed here is the recent progress made using biomolecular interaction analysis - mass spectrometry (BIA-MS) in the detailed characterization of proteins and protein-protein interactions and the development of biosensor chip mass spectrometry (BCMS) as a new chip-based proteomics approach.     

Mass spectrometry based proteomic analysis of human stem cells: a brief review

Stem cells can give rise to various cell types and are capable of regenerating themselves over multiple cell divisions. Pluripotency and self-renewal potential of stem cells have drawn vast interest from different disciplines, with studies on the molecular properties of stem cells being one example. Current investigations on the molecular basis of stem cells pluripotency and self-renewal entail traditional techniques from chemistry and molecular biology. In this mini review, we discuss progress in stem cell research that employs proteomics approaches. Specifically, we focus on studies on human stem cells from proteomics perspective. To our best knowledge, only the following types of human stem cells have been examined via proteomics analysis: human neuronal stem cells, human mesenchymal stem cells, and human embryonic stem cells. Protein expression serves as biomarkers of stem cells and identification and expression level of such biomarkers are usually determined using two-dimensional electrophoresis coupled mass spectrometry or non-gel based mass spectrometry.     

Dissociation techniques in mass spectrometry-based proteomics

The field of proteomics, the large-scale analysis of proteins, has undergone a huge expansion over the past decade. Mass spectrometry-based proteomics relies on the dissociation of peptide and/or protein ions to provide information on primary sequence and sites of post-translational modifications. Fragmentation techniques include collision-induced dissociation, electron capture dissociation and electron transfer dissociation. Here, we describe each of these techniques and their use in proteomics. The principles, advantages, limitations, and applications are discussed.     

Proteomics in medical microbiology

The techniques of proteomics (high resolution two-dimensional electrophoresis and protein characterisation) are widely used for microbiological research to analyse global protein synthesis as an indicator of gene expression. The rapid progress in microbial proteomics has been achieved through the wide availability of whole genome sequences for a number of bacterial groups. Beyond providing a basic understanding of microbial gene expression, proteomics has also played a role in medical areas of microbiology. Progress has been made in the use of the techniques for investigating the epidemiology and taxonomy of human microbial pathogens, the identification of novel pathogenic mechanisms and the analysis of drug resistance. In each of these areas, proteomics has provided new insights that complement genomic-based investigations. This review describes the current progress in these research fields and highlights some of the technical challenges existing for the application of proteomics in medical microbiology. The latter concern the analysis of genetically heterogeneous bacterial populations and the integration of the proteomic and genomic data for these bacteria. The characterisation of the proteomes of bacterial pathogens growing in their natural hosts remains a future challenge.     

Thermal characterisation of Australian oil shales

There has been a significant research effort on the development of an oil industry based on Australian oil shales. However, to date the research has been based mainly on the processing aspects of oil shale. The thermal analyses of oil shales, while having been the subject of many studies, have been limited to some extent by instrumentation and analytical techniques. This paper reports on thermal analysis studies utilising traditional thermogravimetry/differential thermal analysis (TG/DTA) and differential scanning calorimetry (DSC). The application of modern thermal analysis techniques such as high resolution TG (HRTG) and modulated differential scanning calorimetry (MDSC) is also examined and compared to the traditional methods.     

Screening for disease-markers and investigating drug effects by proteome profiling: can it meet expectations?

Drugs exert their functions mainly by affecting proteins. Therefore, it seems straightforward to focus on proteins in order to investigate drug effects. Unfortunately, proteins are of very high complexity, rendering it much more difficult to screen for protein alterations as compared to gene regulation. However, the efficiency and applicability of proteome analysis has been dramatically increased recently. We are on the way to be able to comprehensively assess disease-related proteome alterations, which may become an essential source of information for knowledge-based drug design. This review will provide an overview of current techniques in proteome analysis, focusing on screening technologies for biomedical research. An outlook at the future potential of proteomics supported by modern bioinformatics will highlight why proteomics is worth the effort.