2014蛋白质组学专刊序言

蛋白质组学研究是后基因组学时代最重要的功能基因组学研究之一,与医学生物学、化学、物理学、信息学以及现代技术等关系十分密切。为了检阅近年来国内外蛋白质组学某些重要研究进展,探索其可能的应用范围,讨论其存在的问题,展望其发展前景,特组织出版"蛋白质组学专刊"。本期专刊包括综述和研究论文两部分,内容主要涉及不同物种(包括人类、哺乳类动物、原核生物、放线菌等)蛋白质组学研究、蛋白质组学重要方法学与技术研究(包括串联质谱分析、尿蛋白膜保存法、定量蛋白质组学分折、meta分析等)和蛋白质组功能与应用研究(包括蜘蛛毒素蛋白质组、磷酸化蛋白质组、卵母细胞和早期胚胎蛋白质组、肝脏纤维化蛋白质组、分枝杆菌耐药的蛋白质组等)。     

磷酸化蛋白质组学分析和定量技术的研究进展

蛋白质的磷酸化是一种可逆性的蛋白质翻译后修饰,在生物体内起着极为重要的作用.近年来蛋白质翻译后修饰日益成为蛋白质组研究的热点之一.定量磷酸化蛋白质组学方法和技术的快速发展为研究蛋白质磷酸化时空动态变化,更好地了解生物学功能调节网络奠定了坚实的基础.作为蛋白质组学研究的一个重要组成部分,定量磷酸化蛋白质组学因其磷酸化蛋白质所具有的独特特征,在技术和方法研究方面将面临更为严峻的挑战.综述了磷酸化蛋白质组学定量的一些分析技术和方法的发展现状、优缺点以及未来的发展趋势.     

土壤宏蛋白质组学在土壤污染评价中的应用

土壤微生物指标是评价土壤污染程度的重要生物学指标之一.近年来,随着分子生物学的发展,应用宏基因组学、宏转录组学和宏蛋白质组学技术考察土壤微生物的生态功能成为土壤功能的研究热点.相对于宏基因组学和宏转录组学,土壤宏蛋白质组学是以土壤微生物基因的功能组分——蛋白质为直接研究对象,考察不同时空点提取出来的土壤蛋白质的变化规律,更有助于揭示土壤微生物的生态功能及其在污染物迁移转化过程中的作用,在评价土壤污染方面也更具潜力.目前,土壤宏蛋白质组学正处于起步阶段,而土壤蛋白质的提取方法是制约其发展的主要因素之一,因此本文综述了蛋白质作为土壤污染评价指标的优势,重点比较了不同土壤蛋白质提取方法的优劣,结合案例分析了蛋白质作为土壤污染评价指标的可行性及存在的问题,并对土壤宏蛋白质组学的发展进行展望.     

糖组学研究策略及前沿技术研究进展

糖组学是继基因组学和蛋白质组学后的新兴研究领域,主要研究聚糖结构与功能.通过与蛋白质组数据库结合,糖捕捉法能系统鉴定糖蛋白和糖基化位点.糖微阵列技术可以对生物个体产生的全部蛋白聚糖结构进行鉴定与表征,提高了聚糖分析通量.而化学选择糖印迹技术简化了聚糖纯化步骤并提高了糖基化分析的灵敏度.双消化并串联柱法通过双酶消化双柱分离,在分析聚糖结构的同时也鉴定蛋白质的序列,并与蛋白质组学研究兼容.     

叶绿体的蛋白质组学研究进展

蛋白质组学是以基因组编码的所有蛋白为研究对象,高通量地从细胞及整体水平上研究蛋白质的组成及其功能的新兴学科。在后基因组时代的今天,蛋白质组学的研究正逐渐深入到生命科学的各个领域,21世纪蛋白质组学将成为生命科学中最热门的学科。蛋白质组分析已成为鉴定植物功能的有力工具之一,叶绿体作为比较重要的细胞器,在植物蛋白质组学中已有较多的研究,,随着双向电泳技术的改进和质谱法的出现,并与不断增多的拟南芥、水稻、玉米等植物的序列数据相结合,叶绿体蛋白质组可以被快速鉴定。本文主要介绍了植物蛋白质组学、叶绿体及其蛋白质组学研究技术和研究进展,并对蛋白质组学的研究趋势进行了展望。     

蛋白质组学分析技术在微生物研究中的应用

随着后基因组时代的到来,蛋白质组学分析为研究微生物的生命活动和细胞功能提供了一个广阔的视角。综述了大规模分析微生物蛋白质组的策略和方法,包括自上而下的蛋白质组学分析、自下而上的蛋白质组学分析、蛋白质组定量分析技术、蛋白质修饰研究方法和蛋白质芯片技术。最后,对沙门氏菌蛋白质组学的研究进展进行了简要介绍。     

叶绿体蛋白质组学研究进展

蛋白质组分析是鉴定蛋白质种类和功能的有力工具之一。叶绿体作为光合作用的重要细胞器,叶绿体蛋白质组学成为了研究的热点,涉及的领域包括叶绿体的总蛋白质组学、亚细胞蛋白质组学、差异蛋白质组学和蛋白质的功能等。现主要介绍蛋白质组学的常用技术以及叶绿体蛋白质组学的最新研究进展。     

微生物蛋白质组学的定量分析

越来越多的微生物基因组序列数据为系统地研究基因的调节和功能创造了有利条件.由于蛋白质是具有生物功能的分子,蛋白质组学在微生物基因组的功能研究中异军突起、蓬勃发展.微生物蛋白质组学的基本原则是,用比较研究来阐明和理解不同微生物之间或不同生长条件下基因的表达水平.显而易见,定量分析技术是比较蛋白质组学中急需发展的核心技术.对蛋白质组学定量分析技术在微生物蛋白质组研究中的进展进行了综述.     

蛋白质组学的应用研究进展

蛋白质组学(Proteomics)是一门大规模、高通量、系统化的研究某一类型细胞、组织或体液中的所有蛋白质组成及其功能的新兴学科。虽然基因决定蛋白质的水平,但是基因表达的水平并不能代表细胞内活性蛋白的水平,蛋白质组学分析是对蛋白质翻译和修饰水平等研究的一种补充,是全面了解基因组表达的一种必不可少的手段。蛋白质组学相关技术的发展极大地推动了蛋白质组学的研究进展,使其在各研究领域得到了广泛的应用。对蛋白质组学相关技术及其在各领域的应用进行了综述,最后对蛋白质组学的发展趋势和应用前景作出展望。     

快速发展的亚细胞蛋白质组学

亚细胞蛋白质组是蛋白质组学领域中的一支新生力量 ,已成为蛋白质组学新的主流方向 ,通过多种策略和技术方法 ,一些重要的亚细胞结构的蛋白质组不断的得到分析 ,到目前为止 ,几乎所有亚细胞结构的蛋白质组学研究都有报道 ,而且已经深入到亚细胞器和复合体水平 ;另外 ,不仅局限于对亚细胞结构的蛋白组成进行简单分析 ,而且更注重功能性分析 ,将定量技术和差异分析引入亚细胞蛋白质组学 ,来观察此亚细胞结构的蛋白质组在某些生理或病理条件下的变化 ,这已经成为亚细胞蛋白质组学新的发展方向 .亚细胞蛋白质组学最大的困难在于怎样确认鉴定出来蛋白质的定位 ,是在提取过程中的污染还是真正在此亚细胞结构中有定位 ?这将是亚细胞蛋白质组学需要努力解决的挑战 .文章全面介绍了亚细胞蛋白质组学的最新研究进展 ,阐述了亚细胞蛋白质组学面临的挑战 ,并对亚细胞蛋白质组学的发展方向作了展望 .     

Ranking the selectivity of PubChem screening hits by activity-based protein profiling: MMP13 as a case study

High-throughput screening (HTS) has become an integral part of academic and industrial efforts aimed at developing new chemical probes and drugs. These screens typically generate several 'hits', or lead active compounds, that must be prioritized for follow-up medicinal chemistry studies. Among primary considerations for ranking lead compounds is selectivity for the intended target, especially among mechanistically related proteins. Here, we show how the chemical proteomic technology activity-based protein profiling (ABPP) can serve as a universal assay to rank HTS hits based on their selectivity across many members of an enzyme superfamily. As a case study, four metalloproteinase-13 (MMP13) inhibitors of similar potency originating from a publically supported HTS and reported in PubChem were tested by ABPP for selectivity against a panel of 27 diverse metalloproteases. The inhibitors could be readily separated into two groups: (1) those that were active against several metalloproteases and (2) those that showed high selectivity for MMP13. The latter set of inhibitors was thereby designated as more suitable for future medicinal chemistry optimization. We anticipate that ABPP will find general utility as a platform to rank the selectivity of lead compounds emerging from HTS assays for a wide variety of enzymes.     

Tandem orthogonal proteolysis-activity-based protein profiling (TOP-ABPP)--a general method for mapping sites of probe modification in proteomes

Activity-based protein profiling (ABPP) utilizes active site-directed chemical probes to monitor the functional state of enzymes directly in native biological systems. Identification of the specific sites of probe labeling on enzymes remains a major challenge in ABPP experiments. In this protocol, we describe an advanced ABPP platform that utilizes a tandem orthogonal proteolysis (TOP) strategy coupled with mass spectrometric analysis to simultaneously identify probe-labeled proteins together with their exact sites of probe modification. Elucidation of probe modification sites reveals fundamental insights into the molecular basis of specific probe-protein interactions. The TOP-ABPP method can be applied to any type of proteomic sample, including those derived from in vitro or in vivo labeling experiments, and is compatible with a variety of chemical probe structures. Completion of the entire protocol, including chemical synthesis of key reagents, requires approximately 8-10 days.     

Evaluation of clinical colon carcinoma using activity-based proteomic profiling

The evaluation of clinical tumor tissues is a valuable approach to discovering novel drug targets because of the direct relevance of human samples. We used activity-based proteomic profiling (ABPP) to study the differences in serine hydrolase activities from 12 matched pairs of clinical normal and tumor colon tissues. Unlike traditional proteomics or measures of mRNA abundance, ABPP actually quantifies enzymatic activities, a characteristic crucial for drug targeting. Several serine hydrolases were differentially active in tumor vs normal tissues, despite a lack of obvious corresponding alterations in protein expression. We identified one tumor-specific activity by mass spectrometry to be fibroblast activation protein (FAP), an integral membrane serine protease that has been reported to be present only in tumor stroma or during wound healing and absent in normal tissues. FAP activity was further found to be approximately twofold higher in stage III relative to stage II colon cancer, suggestive of a role in tumor progression. We were also able to identify other proteins, some of which had not been previously linked to cancer, which had higher activity in tumors. Our results demonstrate the applicability of ABPP for the efficient identification of multiple clinical disease targets.     

Host–pathogen interactions: a proteomic view

Host–pathogen interactions reflect the balance of host defenses and pathogen virulence mechanisms. Advances in proteomic technologies now afford opportunities to compare protein content between complex biologic systems ranging from cells to animals and clinical samples. Thus, it is now possible to characterize host–pathogen interactions from a global proteomic view. Most reports to date focus on cataloging protein content of pathogens and identifying virulence-associated proteins or proteomic alterations in host response. A more in-depth understanding of host–pathogen interactions has the potential to improve our mechanistic understanding of pathogenicity and virulence, thereby defining novel therapeutic and vaccine targets. In addition, proteomic characterization of the host response can provide pathogen-specific host biomarkers for rapid pathogen detection and characterization, as well as for early and specific detection of infectious diseases. A review of host–pathogen interactions focusing on proteomic analyses of both pathogen and host will be presented. Relevant genomic studies and host model systems will be also be discussed.     

Host-pathogen interactions: a proteomic view

Host-pathogen interactions reflect the balance of host defenses and pathogen virulence mechanisms. Advances in proteomic technologies now afford opportunities to compare protein content between complex biologic systems ranging from cells to animals and clinical samples. Thus, it is now possible to characterize host-pathogen interactions from a global proteomic view. Most reports to date focus on cataloging protein content of pathogens and identifying virulence-associated proteins or proteomic alterations in host response. A more in-depth understanding of host-pathogen interactions has the potential to improve our mechanistic understanding of pathogenicity and virulence, thereby defining novel therapeutic and vaccine targets. In addition, proteomic characterization of the host response can provide pathogen-specific host biomarkers for rapid pathogen detection and characterization, as well as for early and specific detection of infectious diseases. A review of host-pathogen interactions focusing on proteomic analyses of both pathogen and host will be presented. Relevant genomic studies and host model systems will be also be discussed.     

Poxvirus Proteomics and Virus-Host Protein Interactions

Summary: Studies of the functional proteins encoded by the poxvirus genome provide information about the composition of the virus as well as individual virus-virus protein and virus-host protein interactions, which provides insight into viral pathogenesis and drug discovery. Widely used proteomic techniques to identify and characterize specific protein-protein interactions include yeast two-hybrid studies and coimmunoprecipitations. Recently, various mass spectrometry techniques have been employed to identify viral protein components of larger complexes. These methods, combined with structural studies, can provide new information about the putative functions of viral proteins as well as insights into virus-host interaction dynamics. For viral proteins of unknown function, identification of either viral or host binding partners provides clues about their putative function. In this review, we discuss poxvirus proteomics, including the use of proteomic methodologies to identify viral components and virus-host protein interactions. High-throughput global protein expression studies using protein chip technology as well as new methods for validating putative protein-protein interactions are also discussed.     

蛋白质组学技术在感染研究中的应用

蛋白质组学的目标在于阐明特定生物体、组织、细胞或亚细胞结构中全部蛋白质的表达模式和功能模式,其技术平台由高通量的蛋白质分离技术、鉴定技术和生物信息学组成。在许多研究领域,蛋白质组学技术为阐明疾病过程和生命现象的分子机制提供了全面、网络和动态的蛋白质组信息。感染是重要的基本致病因素之一,蛋白质组学的研究策略和技术方法有利于快速分离鉴定病原体蛋白质组、宿主免疫细胞蛋白质组、感染相关蛋白、疫苗候：选抗原蛋白、生物标志物和药物靶标,从而明显加快病原体、宿主反应、感染发病机制以及感染预防、诊断和治疗等相关研究的进程。     

Evidence for lysosomal processing of amyloid β-protein precursor in cultured cells

Amyloid -protein precursor (ABPP) of Alzheimer's disease (AD) represents a family of proteins which includes the parent protein which generates a small (4 kD) fragment that self-assembles to form amyloid fibrils in AD. Thus, the normal and abnormal proteolysis of ABPP may be directly relevant to AD pathogenesis. We have examined the accumulation of ABPP in cultured rodent and human neuronal cell lines in the presence and absence of a battery of protease inhibitors using immunohistochemistry and Western blot analysis. Here we present evidence for a lysosomal pathway for the turnover of ABPP and discuss the relevance of these results to plaque pathology and abnormal ABPP immunostaining in AD.Special issue dedicated to Dr. Paola S. Timiras     

Design and synthesis of a novel photoaffinity probe for labelling EGF receptor tyrosine kinases

The epidermal growth factor receptor (EGFR) and HER2 are two important tyrosine kinases that play crucial roles in signal transduction pathways that regulate numerous cellular functions including proliferation, differentiation, migration, and angiogenesis. In the past 20?years, many proteomic methods have emerged as powerful methods to evaluate proteins in biological processes and human disease states. Among them, activity-based protein profiling (ABPP) is one useful approach for the functional analysis of proteins. In this study, a novel photoaffinity probe 11 was designed and synthesised to assess the target profiling of the reactive group in the photoaffinity probe 11. Biological evaluation was performed, and the results showed that the novel photoaffinity probe binds to EGFR and HER2 proteins and it hits targets by the reactive group.     

Arabidopsis cell wall proteome defined using multidimensional protein identification technology

With the completion of the sequencing of the Arabidopsis genome and the recent advances in proteomic technology, the identification of proteins from highly complex mixtures is now possible. Rather than using gel electrophoresis and peptide mass fingerprinting, we have used multidimensional protein identification technology (MudPIT) to analyse the "tightly-bound" proteome for purified cell walls from Arabidopsis cell suspension cultures. Using bioinformatics for the prediction of signal peptides for targeting to the secretory pathway and for the absence of ER retention signal, 89 proteins were selected as potential extracellular proteins. Only 33% of these were identified in previous proteomic analyses of Arabidopsis cell walls. A functional classification revealed that a large proportion of the proteins were enzymes, notably carbohydrate active enzymes, peroxidases and proteases. Comparison of all the published proteomic analyses for the Arabidopsis cell wall identified 268 non-redundant genes encoding wall proteins. Sixty of these (22%) were derived from our analysis of tightly-bound wall proteins.