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。     

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。     

非模式植物蛋白质组学研究进展

蛋白质组学研究是对基因组学研究的重要补充,它是在蛋白质水平定量、动态、整体性研究生物体。该文简要介绍了蛋白质组学的含义,蛋白质组学及植物蛋白质组学产生的科学背景,蛋白质组学的研究内容。概述了非模式植物蛋白质组学的研究进展,主要包括非模式植物个体及群体蛋白质组学,组织和器官蛋白质组学,亚细胞蛋白质组学,响应环境变化的蛋白质组学以及非模式植物生物环境因子的蛋白质组学的研究情况,同时对植物蛋白质组学的发展前景进行了展望。     

蛋白质组学技术及其在心血管疾病研究中的应用

蛋白质组学是旨在研究蛋白质表达谱和蛋白质与蛋白质之间相互作用的新的领域。蛋白质组学的研究必须依赖高通量、自动化程度很高的技术。双向电泳、液相色谱和生物质谱技术的发展推动了蛋白质组学的研究。蛋白质组学为疾病发病机制的研究提供了新的思路和方法 ,本文重点介绍了蛋白质组学技术在心血管疾病研究中的应用     

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)。     

蛋白质组学研究技术及其在寄生虫学中的应用

介绍了蛋白质组学研究的核心技术 ,即蛋白质组分分离、蛋白质组分鉴定、利用蛋白质组信息学进行结构和功能预测 ,以及蛋白质组学技术在寄生虫学中的应用和研究进展。     

葡萄蛋白质组学研究进展

人类基因组计划的完成标志着生命科学已进入后基因组时代,蛋白质组学的研究被提升到了前所未有的高度,蛋白质组学旨在阐明基因组所表达的真正执行生命活动的全部蛋白质的表达规律和生物功能。伴随葡萄基因组测序工作的完成,有关葡萄蛋白质组学的研究迅速发展。对近年来蛋白质组学在葡萄上的研究进行了综述,内容主要包括:葡萄蛋白质样品的提取制备,葡萄果实发育和品质形成过程中蛋白质组的变化,葡萄果皮、细胞壁、质膜等特定组织材料的蛋白质组研究,及蛋白质组学在葡萄逆境胁迫、体细胞胚的发生等方面的研究,并对葡萄蛋白质组学的发展趋势进行了展望。     

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。     

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。     

植物蛋白质组学研究进展Ⅰ. 蛋白质组关键技术

随着模式植物拟南芥和水稻基因组测序相继完成, 使植物基因组学研究成功迈入到功能基因组学研究的时代。这为蛋白质组学产生及其发展奠定了坚实的基础。文章重点介绍了蛋白质组学的概念、产生背景和蛋白质组学的关键技术。蛋白质组学的关键技术包括双向电泳、高效液相色谱、蛋白芯片、质谱技术、蛋白质组学的相关数据库、定量蛋白组技术、蛋白复合体标签亲和纯化技术和酵母双杂交系统。同时对当前蛋白质组技术面临的挑战和发展前景进行了讨论。     

膜转运蛋白的功能性超表达和纯化

膜转运蛋白结构和功能的研究是功能膜蛋白质组研究中的一个重要内容,而大量蛋白质的分离纯化是进行蛋白质的结构和功能研究的基础.目前,结构和功能膜蛋白质组学相关研究的瓶颈,在于不能有效地超量表达和纯化具有生物活性的膜转运蛋白.影响膜转运蛋白超量表达和纯化的关键因素,包括目标蛋白的拓扑学结构分析和去垢剂的选择.进行膜转运蛋白拓扑学结构的分析,对于构建用于活体表达的重组膜转运蛋白具有指导意义.去垢剂能够稳定去膜状态的膜蛋白,在膜转运蛋白的离体表达和亲和纯化以及包涵体的处理过程中具有重要的作用.本文就目前功能膜蛋白质组学研究中所涉及的有关膜转运蛋白功能性超表达和分离纯化策略及关键技术作一简述.     

利用碱性磷酸酶初步判定二维电泳中蛋白质磷酸化修饰

磷酸化是蛋白质最重要的翻译后修饰形式之一.以二维电泳为基础的蛋白质组学是发现蛋白磷酸化状态改变的有效途径. 本文介绍了在用于二维电泳的蛋白样品制备过程中,利用小牛肠碱性磷酸酶成功去除蛋白质上磷酸基团的过程. 该技术将去磷酸化作用和蛋白质组学手段联系在一起,为蛋白质磷酸化修饰的初步判定提供了简便、经济、切实可行的方法.     

A chemical proteomics approach to phosphatidylinositol 3-kinase signaling in macrophages

Prior work using lipid-based affinity matrices has been done to investigate distinct sets of lipid-binding proteins, and one series of experiments has proven successful in mammalian cells for the proteome-wide identification of lipid-binding proteins. However, most lipid-based proteomics screens require scaled up sample preparation, are often composed of multiple cell types, and are not adapted for simultaneous signal transduction studies. Herein we provide a chemical proteomics strategy that uses cleavable lipid "baits" with broad applicability to diverse biological samples. The novel baits were designed to avoid preparative steps to allow functional proteomics studies when the biological source is a limiting factor. Validation of the chemical baits was first confirmed by the selective isolation of several known endogenous phosphatidylinositol 3-kinase signaling proteins using primary bone marrow-derived macrophages. The use of this technique for cellular proteomics and MS/MS analysis was then demonstrated by the identification of known and potential novel lipid-binding proteins that was confirmed in vitro for several proteins by direct lipid-protein interactions. Further to the identification, the method is also compatible with subsequent signal transduction studies, notably for protein kinase profiling of the isolated lipid-bound protein complexes. Taken together, this integration of minimal scale proteomics, lipid chemistry, and activity-based readouts provides a significant advancement in the ability to identify and study the lipid proteome of single, relevant cell types.     

Identification of proteins with altered expression in colorectal cancer by means of 2D-proteomics

Modern proteomic techniques make it possible to identify numerous changes in protein expression in tumors as compared to normal tissues. Although proteomics is currently widely used, identification of proteins differentially expressed in particular types of cancer remains a challenging task. The goal of our study was to detect novel protein markers of colorectal cancer using comparative proteomics of protein extracts obtained from primary tumors and adjacent normal tissues. Coloreetal cancer is nearly asymptomatic at the early stages, which calls for development of fast and sensitive methods for molecular diagnostics. Proteomes of 11 paired specimens of primary colorectal tumors and adjacent histologically normal tissues were studied using comparative 2D PAGE. Altogether, 16 proteins with altered expression levels were detected, including 13 proteins with increased levels and three proteins with decreased levels in tumor tissues. These proteins were identified using MALDI-TOF mass spectrometry. The proteins GPD1, RRBP1 (increased levels), HNRNPH1, and SERPINB6 (decreased levels) have been associated with colorectal cancer for the first time.     

Whole lung proteome of an acute epithelial injury mouse model in comparison to spatially resolved proteomes

Epithelial injury is one of the major drivers of acute pulmonary diseases. Recurring injury followed by aberrant repair is considered as the primary cause of chronic lung diseases, such as idiopathic pulmonary fibrosis (IPF). Preclinical in vivo models allow studying early disease-driving mechanisms like the recently established adeno-associated virus-diphtheria toxin receptor (AAV-DTR) mouse model of acute epithelial lung injury, which utilises AAV mediated expression of the human DTR. We performed quantitative proteomics of homogenised lung samples from this model and compared the results to spatially resolved proteomics data of epithelial cell regions from the same animals. In whole lung tissue proteins involved in cGAS-STING and interferon pathways, proliferation, DNA replication and the composition of the provisional extracellular matrix were upregulated upon injury. Besides epithelial cell markers SP-A, SP-C and Scgb1a1, proteins involved in cilium assembly, lipid metabolism and redox pathways were among downregulated proteins. Comparison of the bulk to spatially resolved proteomics data revealed a large overlap of protein changes and striking differences. Together our study underpins the broad usability of bulk proteomics and pinpoints to the benefit of sophisticated proteomic analyses of specific tissue regions or single cell types.     

Functional proteomics: The goalposts are moving

Holistic understanding of protein function is a primary goal of the post-genome sequencing era. Functional genomic approaches are powerful and relatively straightforward but produce an incomplete picture at the protein level. Proteomics offers physiologically enriched insights to protein function, and ongoing advances are enabling proteome analyses to proceed with increased depth and efficiency. Exciting discoveries have emerged recently amidst growing awareness of the power of proteomics. However, while proven as a potent discovery tool, proteomics is under pressure to provide improved functional value particularly in concert with other investigative approaches. As reviewed here for ERp29, a recently discovered endoplasmic reticulum protein, the role of novel proteins can remain elusive even after substantial information has accrued. Thousands more proteins of uncertain function will be unveiled in the near future. Consequently, the goalposts are moving for proteomics both through increasing demand for high-value functional information and improving capacity to deliver.     

Proteomics and metabolomics: the molecular make-up of toxic aromatic pollutant bioremediation

Microbial-mediated attenuation of toxic aromatic pollutants offers great potential for the restoration of contaminated environments in an ecologically acceptable manner. However, incomplete biological information regarding the regulation of growth and metabolism in many microbial communities restricts progress in the site-specific mineralization process. In the postgenomic era, recent advances in MS have allowed enormous progress in proteomics and elucidated many complex biological interactions. These research forefronts are now expanding toward the analysis of low-molecular-weight primary and secondary metabolites analysis, i.e., metabolomics. The advent of 2-DE in conjunction with MS offers a promising approach to address the molecular mechanisms of bioremediation. The two fields of proteomics and metabolomics have thus far worked separately to identify proteins and primary and secondary metabolites during bioremediation. A simultaneous study combining functional proteomics and metabolomics, i.e., proteometabolomics would create a system-wide approach to studying site-specific microorganisms during active mineralization processes. This article deals with advances in environmental proteomics and metabolomics and advocates the simultaneous study of both technologies to implement cell-free bioremediation.     

Quantitative profile of five murine core proteomes using label-free functional proteomics

Analysis of primary animal and human tissues is key in biological and biomedical research. Comparative proteomics analysis of primary biological material would benefit from uncomplicated experimental work flows capable of evaluating an unlimited number of samples. In this report we describe the application of label-free proteomics to the quantitative analysis of five mouse core proteomes. We developed a computer program and normalization procedures that allow exploitation of the quantitative data inherent in LC-MS/MS experiments for relative and absolute quantification of proteins in complex mixtures. Important features of this approach include (i) its ability to compare an unlimited number of samples, (ii) its applicability to primary tissues and cultured cells, (iii) its straightforward work flow without chemical reaction steps, and (iv) its usefulness not only for relative quantification but also for estimation of absolute protein abundance. We applied this approach to quantitatively characterize the most abundant proteins in murine brain, heart, kidney, liver, and lung. We matched 8,800 MS/MS peptide spectra to 1,500 proteins and generated 44,000 independent data points to profile the approximately 1,000 most abundant proteins in mouse tissues. This dataset provides a quantitative profile of the fundamental proteome of a mouse, identifies the major similarities and differences between organ-specific proteomes, and serves as a paradigm of how label-free quantitative MS can be used to characterize the phenotype of mammalian primary tissues at the molecular level.     

Defining the mandate of proteomics in the post-genomics era: workshop report

Research in proteomics is the next step after genomics in understanding life processes at the molecular level. In the largest sense proteomics encompasses knowledge of the structure, function and expression of all proteins in the biochemical or biological contexts of all organisms. Since that is an impossible goal to achieve, at least in our lifetimes, it is appropriate to set more realistic, achievable goals for the field. Up to now, primarily for reasons of feasibility, scientists have tended to concentrate on accumulating information about the nature of proteins and their absolute and relative levels of expression in cells (the primary tools for this have been 2D gel electrophoresis and mass spectrometry). Although these data have been useful and will continue to be so, the information inherent in the broader definition of proteomics must also be obtained if the true promise of the growing field is to be realized. Acquiring this knowledge is the challenge for researchers in proteomics and the means to support these endeavors need to be provided. An attempt has been made to present the major issues confronting the field of proteomics and two clear messages come through in this report. The first is that the mandate of proteomics is and should be much broader than is frequently recognized. The second is that proteomics is much more complicated than sequencing genomes. This will require new technologies but it is highly likely that many of these will be developed. Looking back 10 to 20 years from now, the question is: Will we have done the job wisely or wastefully? This report summarizes the presentations made at a symposium at the National Academy of Sciences on February 25, 2002.