蛋白质组学的产生及其重要意义

蛋白质组学是在后基因组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。本文简要介绍蛋白质组学产生的科学背景及其重要意义。     

蛋白质组学在感染性疾病研究中的应用

蛋白质组学在人类疾病研究中的应用 ,主要是通过比较分析正常组织细胞与异常组织细胞、同一疾病在不同的发展时期细胞内整体蛋白质的表达差异 ,对差异表达的蛋白质进行鉴定、定量、表征 ,寻找与疾病相关的新的标志物 ,为人类疾病研究提供新的手段和依据 ,蛋白质组学在感染性疾病研究中的应用就是其中的一个方面。1 .蛋白质组学在感染性疾病研究中的应用蛋白质组学在人类感染性疾病研究中的应用主要是对引起感染性疾病的致病源的整体蛋白质进行研究 ,同时结合血清学 ,对其进行分析 ,鉴定出与疾病相关的新的标志物 ,为感染性疾病的诊断、治疗…     

蛋白质组学在神经科学中的应用

蛋白质组学是指对基因组编码的所有蛋白质进行大规模分析的一门学科,它分为表达蛋白质组学和功能蛋白质组学。新的蛋白质组学工具将为高度复杂的神经科学的研究提供便利。作者简述了表达蛋白质组学和功能蛋白质组学在这一领域的应用。     

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。     

蛋白质功能研究方法及技术

随着后基因时代的到来,蛋白质功能研究已经成为蛋白质组学研究的核心内容,是生物科学极具挑战的领域之一.近年来虽已有大量文章涉及某些蛋白质功能方面的研究,但对蛋白质功能研究方法方面进行系统综述的文章非常少,因此,从差异蛋白的筛选鉴定、蛋白质相互作用、蛋白质亚细胞定位、蛋白质表达改变的分子遗传学手段(如RNAi)、生物信息学等方面对目前蛋白质功能研究方法和技术及其最新研究进展进行综述,研究者可根据不同的蛋白和实验需要选择适宜的方法.     

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.     

高通量蛋白质组学研究中一种基于 GO 的蛋白质功能分析策略

挖掘高通量实验数据蕴含的生物学意义是蛋白质组学研究面临的一大挑战 . 基于等级化结构化的词汇表 GO (Gene Ontology) 和相关数据库中的蛋白质功能注释,发展了一种对蛋白质组学研究中得到的表达谱 (Expression profile) 进行功能分析的策略 . 在对蛋白质表达谱进行功能注释的基础上给出蛋白质表达谱中蛋白质功能的分布,同时给出感兴趣功能类别的统计信息 . 这有助于对表达谱蛋白质功能的整体理解和深入的生物信息学分析 . 该策略已经成功应用胎肝蛋白表达谱研究中,用户可以通过访问网址 http://www.hupo.org.cn/GOfact/ 使用或者下载我们的程序 .     

蛋白质组学研究技术及其进展

蛋白质组学是在后基因组时代出现的一个新的研究领域,它是对机体、组织或细胞的全部蛋白质的表达和功能模式进行研究。对蛋白质组的研究可以使我们更容易接近对生命过程的认识。本文对蛋白质组学研究所使用的主要技术例如二维凝胶电泳、质谱、酵母双杂交、蛋白质芯片、表面等离子共振和生物信息学等作一简要综述。     

蛋白质组学相关概念与技术及其研究进展

随着后基因组时代的到来,蛋白质组学得到了空前的发展。包括蛋白质组、蛋白质组学、功能蛋白质组学和结构基因组学等新的概念和学科不断涌现,并相应改进和发燕尾服了许多新的技术和研究手段,如双向凝胶电泳、生物质谱、生物传感芯片质谱、蛋白质芯片、和生物信息学等。     

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.     

Proteomics in clinical trials and practice: present uses and future promise

The study of clinical proteomics is a promising new field that has the potential to have many applications, including the identification of biomarkers and monitoring of disease, especially in the field of oncology. Expression proteomics evaluates the cellular production of proteins encoded by a particular gene and exploits the differential expression and post-translational modifications of proteins between healthy and diseased states. These biomarkers may be applied towards early diagnosis, prognosis, and prediction of response to therapy. Functional proteomics seeks to decipher protein-protein interactions and biochemical pathways involved in disease biology and targeted by newer molecular therapeutics. Advanced spectrometry technologies and new protein array formats have improved these analyses and are now being applied prospectively in clinical trials. Further advancement of proteomics technology could usher in an era of personalized molecular medicine, where diseases are diagnosed at earlier stages and where therapies are more effective because they are tailored to the protein expression of a patient's malignancy.     

Large-scale protein identification using mass spectrometry

Recent achievements in genomics have created an infrastructure of biological information. The enormous success of genomics promptly induced a subsequent explosion in proteomics technology, the emerging science for systematic study of proteins in complexes, organelles, and cells. Proteomics is developing powerful technologies to identify proteins, to map proteomes in cells, to quantify the differential expression of proteins under different states, and to study aspects of protein-protein interaction. The dynamic nature of protein expression, protein interactions, and protein modifications requires measurement as a function of time and cellular state. These types of studies require many measurements and thus high throughput protein identification is essential. This review will discuss aspects of mass spectrometry with emphasis on methods and applications for large-scale protein identification, a fundamental tool for proteomics.     

Characterisation of the nuclear proteome of a dehydration‐sensitive cultivar of chickpea and comparative proteomic analysis with a tolerant cultivar

Water deficit or dehydration hampers plant growth and development, and shrinks harvest size of major crop species worldwide. Therefore, a better understanding of dehydration response is the key to decipher the regulatory mechanism of better adaptation. In recent years, nuclear proteomics has become an attractive area of research, particularly to study the role of nucleus in stress response. In this study, a proteome of dehydration‐sensitive chickpea cultivar (ICCV‐2) was generated from nuclei‐enriched fractions. The LC‐MS/MS analysis led to the identification of 75 differentially expressed proteins presumably associated with different metabolic and regulatory pathways. Nuclear localisation of three candidate proteins was validated by transient expression assay. The ICCV‐2 proteome was then compared with that of JG‐62, a tolerant cultivar. The differential proteomics and in silico analysis revealed cultivar‐specific differential expression of many proteins involved in various cellular functions. The differential tolerance could be attributed to altered expression of many structural proteins and the proteins involved in stress adaptation, notably the ROS catabolising enzymes. Further, a comprehensive comparison on the abiotic stress‐responsive nuclear proteome was performed using the datasets published thus far. These findings might expedite the functional determination of the dehydration‐responsive proteins and their prioritisation as potential molecular targets for better adaptation.     

Label-free quantitation, an extension to 2DB

Determining the differential expression of proteins under different conditions is of major importance in proteomics. Since mass spectrometry-based proteomics is often used to quantify proteins, several labelling strategies have been developed. While these are generally more precise than label-free quantitation approaches, they imply specifically designed experiments which also require knowledge about peptides that are expected to be measured and need to be modified. We recently designed the 2DB database which aids storage, analysis, and publication of data from mass spectrometric experiments to identify proteins. This database can aid identifying peptides which can be used for quantitation. Here an extension to the database application, named MSMAG, is presented which allows for more detailed analysis of the distribution of peptides and their associated proteins over the fractions of an experiment. Furthermore, given several biological samples in the database, label-free quantitation can be performed. Thus, interesting proteins, which may warrant further investigation, can be identified en passant while performing high-throughput proteomics studies.     

金鱼雌核发育单倍体发育过程中的比较蛋白质组学研究

前期已有工作发现在金鱼雌核发育单倍体中一些与发育调控相关的重要蛋白质表达受阻导致单倍体的发育畸形。为了进一步阐明单倍体的发育机制,我们共收集了3个不同发育时期金鱼单倍体胚胎（HE-1、HE-2、HE-3）进行雌核发育单倍体的差异蛋白质组研究。研究采用二维凝胶电泳进行分离,利用PDQuest软件进行图谱分析,质谱分析初步鉴定到了15个差异蛋白质。这些蛋白质在金鱼雌核发育单倍体的发育中起着重要作用,为进一步阐明单倍体的发育机制奠定了良好的基础。     

Influence of histatin 5 on Candida albicans mitochondrial protein expression assessed by quantitative mass spectrometry

Individual aspects of the mode of action of histatin 5, a human salivary antifungal protein, have been partially elucidated, but the mechanism likely involves a complex set of events that have not been characterized. Previous evidence points toward histatin-induced alterations in mitochondrial function. The purpose of the present study was to verify and quantify changes in the mitochondrial proteome of Candida albicans treated with histatin 5. Cell killing was determined by plating and differential protein expression levels in the mitochondrial samples were determined by quantitative proteomics approaches employing mTRAQ and ICAT labeling and Western blotting. Relative quantitation ratios were established for 144 different proteins. Up-regulated mitochondrial proteins were predominantly involved in genome maintenance and gene expression, whereas proteins that constitute the respiratory enzyme complexes were mostly down-regulated. The differential expression of ATP synthase gamma chain and elongation factor 1-alpha were confirmed by Western blotting by comparison to levels of cytochrome c which were unchanged upon histatin treatment. The mTRAQ and ICAT proteomics results suggest that key steps in the histatin 5 antifungal mechanism involve a bioenergetic collapse of C. albicans, caused essentially by a decrease in mitochondrial ATP synthesis.     

The effects of shared peptides on protein quantitation in label-free proteomics by LC/MS/MS

Assessment of differential protein abundance from the observed properties of detected peptides is an essential part of protein profiling based on shotgun proteomics. However, the abundance observed for shared peptides may be due to contributions from multiple proteins that are affected differently by a given treatment. Excluding shared peptides eliminates this ambiguity but may significantly decrease the number of proteins for which abundance estimates can be obtained. Peptide sharing within a family of biologically related proteins does not cause ambiguity if family members have a common response to treatment. On the basis of this concept, we have developed an approach for including shared peptides in the analysis of differential protein abundance in protein profiling. Data from a recent proteomics study of lung tissue from mice exposed to lipopolysaccharide, cigarette smoke, and a combination of these agents are used to illustrate our method. Starting from data where about half of the implicated database protein involved shared peptides, 82% of the affected proteins were grouped into families, based on FASTA annotation, with closure on peptide sharing. In many cases, a common abundance relative to control was sufficient to explain ion-current peak areas for peptides, both unique and shared, that identified biologically related proteins in a peptide-sharing closure group. On the basis of these results, we propose that peptide-sharing closure groups provide a way to include abundance data for shared peptides in quantitative protein profiling by high-throughput mass spectrometry.     

Identification of heat shock protein 5, calnexin and integral membrane protein 2B as Adam7-interacting membrane proteins in mouse sperm

In mammals, sperm acquire their motility and ability to fertilize eggs in the epididymis. This maturation process involves the acquisition of particular proteins from the epididymis. One such secretory protein specifically expressed in the epididymis is Adam7 (a disintegrin and metalloprotease 7). Previous studies have shown that Adam7 that resides in an intracellular compartment of epididymal cells is transferred to sperm membranes, where its levels are dependent on the expression of Adam2 and Adam3, which have critical roles in fertilization. Here, using a proteomics approach based on mass spectrometry, we identified proteins that interact with Adam7 in sperm membranes. This analysis revealed that Adam7 forms complexes with calnexin (Canx), heat shock protein 5 (Hspa5), and integral membrane protein 2B (Itm2b). Canx and Hspa5 are molecular chaperones, and Itm2b is a type II integral membrane protein implicated in neurodegeneration. The interaction of Adam7 with these proteins was confirmed by immunoprecipitation-Western blot analysis. We found that Adam7 and Itm2b are located in detergent-resistant regions known to be highly correlated with membrane lipid rafts. We further found that the association of Adam7 with Itm2b is remarkably promoted during sperm capacitation owing to a conformational change of Adam7 that occurs in concert with the capacitation process. Thus, our results suggest that Adam7 functions in fertilization through the formation of a chaperone complex and enhanced association with Itm2b during capacitation in sperm.     

Proteomics reveals different pathological processes of adipose tissue,liver, and skeletal muscle under insulin resistance

Type 2 diabetes mellitus is the most common type of diabetes, and insulin resistance (IR) is its core pathological mechanism. Proteomics is an ingenious and promising Omics technology that can comprehensively describe the global protein expression profiling of body or specific tissue, and is widely applied to the study of molecular mechanisms of diseases. In this paper, we focused on insulin target organs: adipose tissue, liver, and skeletal muscle, and analyzed the different pathological processes of IR in these three tissues based on proteomics research. By literature studies, we proposed that the main pathological processes of IR among target organs were diverse, which showed unique characteristics and focuses. We further summarized the differential proteins in target organs which were verified to be related to IR, and discussed the proteins that may play key roles in the emphasized pathological processes, aiming at discovering potentially specific differential proteins of IR, and providing new ideas for pathological mechanism research of IR.