肾阳虚证候的人血清比较蛋白质组学分析

利用双向电泳（2-DE）优化分离了除去高丰度蛋白（白蛋白和IgG）的老年体虚肾阳虚患者（以健康组为参照）的血清样本,对比分析pH 4～7范围的2-DE谱图,肾阳虚患者和参照组的平均蛋白点分别为(393±32)和(455±19)个. 其中肾阳虚证候表达量上调2倍（P<0.05）以上的蛋白点有26个,下调2倍以上的有33个. 用质谱获得上述差异蛋白的肽质量指纹图谱,并经数据库检索共鉴定出了49种差异蛋白质,其中有10种在肾阳虚血清中特异表达,有6种在健康组血清中特异表达. 蛋白功能分析发现,其中33种蛋白质的差异表达与肾阳虚证密切相关. 蛋白质TCRβ及transthyretin的蛋白印迹实验验证了2-DE 的结果. 该研究结果为阐明中医肾阳虚证的机理提供了一条新途径.     

蛋白质组学研究中的对角线电泳

经典的蛋白质组学研究方法包括IEF/SDS-PAGE双向电泳和质谱技术的联用,但由于IEF的一些不足,限制了其应用范围。对角线电泳是蛋白质组学研究中的一项特殊分离技术,由于其原理与IEF/SDS-PAGE不同,正逐渐成为蛋白质组学中电泳分离技术的重要补充,特别是在膜蛋白和蛋白质相互关系的研究中将起到重要作用。本文综述了对角线双向电泳技术的特点、发展和在蛋白质组学研究中的最新进展,比较了双向电泳和对角线电泳的优缺点,展望了对角线电泳在蛋白质组学研究中的应用前景。     

不同生态区烟草叶片蛋白质组学的比较

为探讨不同生态区烟叶香气风格形成的机理,应用蛋白质双向电泳联用质谱技术,对河南平顶山（浓香型烟叶的典型生态区）和福建龙岩（清香型烟叶的典型生态区）的烟草（Nicotina tobaccum L．cv．K326）叶片蛋白质组成进行了比较研究。结果发现,51个蛋白质在两个生态区发生了差异表达,其中在河南表达量上升的有15个,在福建表达量上升的有25个。另外,还分别有2个和9个蛋白点为在河南和在福建样品中特异表达。采用MALDI-TOF/MS进行肽质量指纹图谱分析,经MSDB、NCBInr和SwissPort数据库查询,共鉴定出25种蛋白质,其中参与叶绿体发育、色素代谢、光合作用相关的蛋白在福建烟区高表达,与糖酵解途径相关的蛋白质在河南烟区中高表达。另外,在两生态区烟叶中都发现有相当数量的特异表达的抗逆和防御蛋白。首次在蛋白质组学水平对不同香气风格烟叶的形成机理进行了探讨。     

水稻蛋白质组学研究

水稻是全球最重要的粮食作物之一,目前水稻基因组精细图谱已得到全面解析,运用以双向电泳和质谱分析为主的蛋白质组技术平台对水稻各种组织器官进行蛋白质组学研究也取得了诸多进展,对水稻蛋白质组研究背景,技术路线及取得的进展进行了介绍,并对水稻蛋白质组的发展作了展望。     

污染胁迫下的蚯蚓蛋白质组学研究进展

随着蛋白质组学的发展和每年有大量环境污染物进入土壤环境中,污染胁迫模式动物的相关生物标志物受到日益关注。蚯蚓,作为土壤中最大的无脊椎动物,是研究和评价土壤生态污染良好的模式动物。研究蚯蚓的蛋白质组学,对于寻找环境生态污染相关生物标志物和阐明生态毒理学机制有着十分重要的现实意义。目前已知的污染胁迫下蚯蚓蛋白质组学研究,提供了几个特定污染物胁迫蚯蚓的蛋白表达谱。这些蛋白涉及许多生物学过程,例如信号传导、糖酵解、能量代谢、分子伴侣和转录调节,提示了相关污染物可能的生态毒理学机制,有望成为潜在的生物标志物,用于有毒污染物的监测,但其特异性需要进一步试验的验证。对蚯蚓受污染胁迫的蛋白质组表达谱及潜在生物标志物进行简要综述。     

家兔肠系膜上动脉闭塞性休克前后的血清比较蛋白质组学初步研究

目的：探讨家兔肠系膜上动脉闭塞性（SMAO）休克前后血清蛋白质组学变化及其在SMAO休克发生中的作用。方法：应用家兔肠系膜上动脉夹闭法复制家兔SMAO休克模型,在此基础上通过双向电泳分离家兔SMAO休克前后血清中的蛋白,找出凝胶上的差异蛋白点,用基质辅助激光解吸/电离串联飞行时间质谱技术进行鉴定,并通过生物信息学对差异蛋白的功能进行分析。结果：在家兔SMAO休克前后血清双向电泳图谱中发现19个差异蛋白点,其中11个蛋白质点在SMAO休克后血清中表达明显上调;8个蛋白质点在SMAO休克后血清中表达明显下调。从中选取4个差异最明显的点经基质辅助激光解吸/电离串联飞行和数据库搜索共鉴定出符合条件的2个差异蛋白点,为对氧磷酶和触珠蛋白,均在SMAO休克后血清中含量增高。结论：家兔SMAO休克前后血清蛋白质组会发生明显变化,对氧磷酶和触珠蛋白可能参与了SMAO休克后机体的代偿调节。     

极端微生物蛋白质组学的研究现状

本文概述了近年来蛋白质组学技术在极端微生物研究领域中存在的关键问题、解决途径和研究现状。迄今为止,虽然蛋白质组学技术快速发展,但极端微生物的蛋白质组学的研究仍然存在很多困难。由于极端微生物的蛋白质-蛋白质复合物解离不彻底,而嗜中温微生物的蛋白质解离和变性条件不适用于极端微生物合成的大多数蛋白质等特殊问题,致使蛋白质组学技术还没有广泛应用于嗜盐、嗜热/冷、嗜酸/碱等微生物的研究中。当然,蛋白质组学技术应用的潜能和前景吸引人们积极尝试各种各样的方法。目前,通过研究已经有效地解决了嗜盐蛋白质的分离、嵌合膜蛋白的鉴定和新蛋白质的功能推测,证实了基因组预测的一些结论,并揭示基因组不能充分解析的某些特性和新蛋白质。极端微生物蛋白质组学的研究表明,全面展示蛋白质表达谱需要不止一种蛋白质组学方法。此外,蛋白质组学和基因组学的互相印证和结合,将加速极端微生物的研究进程,深入全面地揭示微生物适应极端环境的特殊机制,进而阐明极端微生物生存的机理,为改善胁迫因素导致的伤害提供新的研究方向。     

水稻蛋白质组学研究进展

蛋白质组是一个基因组所表达蛋白质的总称,研究内容包括蛋白质基本氨基酸序列的鉴定到相关性状、修饰、功能及不同类型蛋白分子相互作用等等。本文简要介绍了蛋白质组学的产生背景,以及主要研究技术包括双向电泳(2D-PAGE)质谱、蛋白质芯片、酵母双杂交,并重点介绍了近期水稻蛋白质组学应用研究进展。     

蛋白负染方法在蛋白质组学中的应用评价

为评价蛋白质负染方法在蛋白质组学分析中的应用,采用负染和考马斯亮蓝染色两种方法对同一样品的双向电泳胶进行染色,取相对应的8对蛋白点,并进行胶内酶解及MALDI-TOF/TOF分析,比较两种方法与质谱的兼容性。图像分析显示,负染方法展示出的蛋白点更多,但三维峰图不如考染明晰;质谱结果显示,8个负染蛋白点中有7个鉴定结果有效,8个考染蛋白点鉴定结果均有效。因此可以得出以下结论:负染的灵敏度高于考染,与质谱的兼容性良好,适用于建立双向电泳参考图谱的研究;但负染后的胶图不适于进行蛋白点丰度对比分析。     

蛋白质组学及其技术发展

蛋白质组学产生于20世纪90年代,发展至今已日趋成熟。蛋白质组学是以生物体的全部或部分蛋白为研究对象,研究它们在生命活动过程中的作用、功能。蛋白质组学较之前的基因组学对于生命现象的解释更直接、更准确,近年得到了快速发展,并受到世界各国学者的高度关注。我们简要综述了蛋白质组学及其技术,并简单概述了这项技术在生命科学领域的应用。     

Proteomic search for potential diagnostic markers and therapeutic targets for ovarian clear cell adenocarcinoma

Clear cell adenocarcinoma (CCA) has a highly malignant potential in human epithelial ovarian cancer. The serum CA-125 is widely used as a marker for ovarian cancer, but the level is relatively low in CCA. Therefore, new sensitive biomarkers are required. In this report, we describe a promising proteomic analysis that is differentially expressed in CCA when compared to mucinous adenocarcinoma, using the ovarian cultured cell lines OVISE, OVTOKO, and MCAS. The disease-associated proteins were identified by 2-D differential gel electrophoresis (2-D DIGE) and MS. In this analysis, 18 up-regulated and 31 down-regulated spots were observed that had at least two-fold differences in the two CCA cell lines than in MCAS as control cells. Some of the proteins differentially expressed in CCA were previously observed as alternative expression levels in ovarian and/or other cancers in clinical samples. In a subsequent preliminary differential study using surgical specimens from patients with CCA, it was demonstrated that the identified proteins were expressed differentially in actual tissues, as well as in the CCA culture cells. The results from this investigation show the potentiality of a proteomic approach for identifying disease-associated proteins, which may eventually serve as diagnostic markers or therapeutic targets in CCA.     

Proteomic signatures for histological types of lung cancer

We performed proteomic studies on lung cancer cells to elucidate the mechanisms that determine histological phenotype. Thirty lung cancer cell lines with three different histological backgrounds (squamous cell carcinoma, small cell lung carcinoma and adenocarcinoma) were subjected to two-dimensional difference gel electrophoresis (2-D DIGE) and grouped by multivariate analyses on the basis of their protein expression profiles. 2-D DIGE achieves more accurate quantification of protein expression by using highly sensitive fluorescence dyes to label the cysteine residues of proteins prior to two-dimensional polyacrylamide gel electrophoresis. We found that hierarchical clustering analysis and principal component analysis divided the cell lines according to their original histology. Spot ranking analysis using a support vector machine algorithm and unsupervised classification methods identified 32 protein spots essential for the classification. The proteins corresponding to the spots were identified by mass spectrometry. Next, lung cancer cells isolated from tumor tissue by laser microdissection were classified on the basis of the expression pattern of these 32 protein spots. Based on the expression profile of the 32 spots, the isolated cancer cells were categorized into three histological groups: the squamous cell carcinoma group, the adenocarcinoma group, and a group of carcinomas with other histological types. In conclusion, our results demonstrate the utility of quantitative proteomic analysis for molecular diagnosis and classification of lung cancer cells.     

Comparison of different depletion strategies for improved resolution in proteomic analysis of human serum samples

Serum proteins may often serve as indicators of disease and is a rich source for biomarker discovery. However, the large dynamic range of proteins in serum makes the analysis very challenging because high-abundant proteins tend to mask those of lower abundance. A prefractionation step, such as depletion of a few high-abundant proteins before protein profiling, can assist in the discovery and detection of less abundant proteins that may prove to be informative biomarkers. In the present study, five different depletion columns were investigated considering efficiency, specificity, and reproducibility. Our research included quantitative determination of total protein, albumin, and immunoglobulin G (IgG) concentrations, one- and two-dimensional gels and mass spectrometric analysis of the serum samples before and after the depletion step. Our results showed that all five depletion columns tested removed albumin and IgG with high efficiency. We found that based on reproducibility and binding specificity, the Multiple Affinity Removal Column that removed a total of six high-abundant proteins (albumin, IgG, antitrypsin, IgA, transferring, and haptoglobin) offered the most promising depletion approach. Among the disposable (single-use) products, the ProteoExtract Albumin/IgG Removal kit displayed the best results. Depleted serum from the Multiple Affinity Removal column was further evaluated by 2-D gel electrophoresis (2-DE) analysis, and the results indicated increased resolution and improved intensity of low-abundant proteins in a reproducible fashion. Our study provides a comprehensive investigation of commercially available depletion columns and will be of high importance for future proteomic studies on serum samples.     

Proteomic analysis of bovine skeletal muscle hypertrophy

Myostatin plays a major role in muscle growth and development and animals with disruption of this gene display marked increases in muscle mass. Little is known about muscle physiological adaptations in relation to this muscle hypertrophy. To provide a more comprehensive view, we analyzed bovine muscles from control, heterozygote and homozygote young Belgian blue bulls for myostatin deletion, which results in a normal level of inactive myostatin. Heterozygote and homozygote animals were characterized by a higher proportion of fast-twitch glycolytic fibers in Semitendinosus muscle. Differential proteomic analysis of this muscle was performed using two-dimensional gel electrophoresis followed by mass spectrometry. Thirteen proteins, corresponding to 28 protein spots, were significantly altered in response to the myostatin deletion. The observed changes in protein expression are consistent with an increased fast muscle phenotype, suggesting that myostatin negatively controls mainly fast-twitch glycolytic fiber number. Finally, we demonstrated that differential mRNA splicing of fast troponin T is altered by the loss of myostatin function. The structure of mutually exclusive exon 16 appears predominantly expressed in muscles from heterozygote and homozygote animals. This suggests a role for exon 16 of fast troponin T in the physiological adaptation of the fast muscle phenotype.     

Proteomic signature of human embryonic stem cells

Human embryonic stem cells (hESC) represent a population of undifferentiated pluripotent cells with both self-renewal and multilineage differentiation characteristics. Proteomics provides a powerful approach for studying the characteristics of hESC and discovering molecular markers. We have analyzed proteome profiles of three hESC lines using 2-DE and MALDI TOF-TOF. Out of 844 spots analyzed with MALDI TOF-TOF, 685 proteins were identified of which 60 proteins were classified as the most abundant proteins on 2-D gels. A large number of proteins particularly high abundant ones were identified as chaperones, heat shock proteins, ubiquitin/proteasome, and oxidative stress responsive proteins underscoring the ability of these cells to resist oxidative stress and increase the life span. Several proteins involved in cell proliferation and differentiation were also among the highly expressed proteins. Although overall expression pattern of three hESC were similar, 54 spots changed quantitatively and 14 spots changed qualitatively among the hESC cell lines. Most of these proteins were identified as proteins involved in cell growth, metabolism and signal transduction, which may affect the self-renewal and pluripotency. To our knowledge, this study represents the first proteomic dataset for hESC and provides a better insight into the biology of hESC. Proteome maps of hESC are accessible at http://www.RoyanProteomics.ir.     

Proteomic identification of putative plasmodesmatal proteins from Chara corallina

Plasmodesmata are channels that bridge the cell walls of plant cells, allowing regulated transport of molecules between neighbouring cells. We have used a proteomic strategy to identify putative plasmodesmata-associated proteins in the giant-celled green alga Chara corallina. Proteins were extracted from the plasmodesmata-rich nodal complexes and the middle of the long internodal cells, which do not contain plasmodesmata. Comparison of protein spot patterns generated by two-dimensional gel electrophoresis of both the soluble and cell wall fractions from the two cell types was done. Fifty-eight spots that were common to the nodal and internodal soluble fractions were analysed by matrix assisted laser desorption/ionisation-time of flight mass spectrometry, and peptide mass fingerprint data were used to search the database. Matches were made to four of these spots, in each case to housekeeping proteins. Further, a number of nodal specific spots were identified, 11 from the soluble fraction and nine from the wall fraction. These spots were excised from the gels and analysed by liquid chromatography tandem mass spectrometry to obtain peptide sequence. Database searches suggest that these spots include homologues to previously identified plasmodesmata-associated proteins cp-wap13 and heat shock cognate 70, as well as RNA-binding proteins, eukaryotic initiation factor 4A and a beta-1,3-glucanase. Several spots remained unidentified providing exciting new candidate plasmodesmata-associated proteins.     

A simple affinity spin tube filter method for removing high-abundant common proteins or enriching low-abundant biomarkers for serum proteomic analysis

Although it is possible to identify new proteins from crude cell extracts using proteomics technology, it is often difficult to elucidate low-abundant biomarkers in the presence of a large amount of high-abundant proteins in serum. We have developed a simple and rapid method using an affinity spin tube filter to remove high-abundant common proteins and enrich the low-abundant biomarkers. The affinity spin tube filter contains protein G, coupled with antibodies against either high-abundant proteins or specific proteins of interest. After incubating with serum, the flow-through or the elute was collected and analyzed by two-dimensional gel electrophoresis. By using this affinity spin tube filter, the possibilities of identifying new biomarkers are shown. This technique could be used for large-scale sample preparation for high-throughput proteomic analysis.     

Proteomic profiling of cell envelope-associated proteins from Staphylococcus aureus

The emergence of highly virulent community acquired Staphylococcus aureus and continued progression of resistance to multiple antimicrobials, including methicillin and vancomycin, marks the reemergence of S. aureus as a serious health care threat. Investigation of proteins localized to the cell surface could help to elucidate mechanisms of virulence and antibiotic resistance in S. aureus. In this study, proteomic profiling methods were developed to solubilize, display, and evaluate abundance levels of proteins present in the supernatants of the lysostaphin-digested cell envelope from cultured vancomycin-intermediate S. aureus (VISA) cells. Combining approaches of 2-DE or chromatographic separation of proteins with MS analyses resulted in the identification of 144 proteins of particular interest. Of these proteins, 48 contained predicted cell wall localization or export signal motifs, including 14 with distinct covalent peptidoglycan-anchor sites, four of which are uncharacterized to date. One of the two most abundant cell envelope proteins, which showed remarkably high variations in MW and pI in the 2-DE gel display, was the S. aureus surface protein G. The display of numerous secreted proteins that are not covalently cell wall-anchored, suggests that, in the exponential growth phase, secreted proteins can be retained physiologically in the cell envelope and may interact with cell wall-anchored proteins and carbohydrate structures in a manner yet to be determined. The remaining 96 proteins, devoid of recognizable motifs, were repeatedly profiled in the VISA cell envelope fractions. We describe a novel semiquantitative method to determine abundance factors of such proteins in 2-DE gels of cell envelope fractions relative to whole cell lysates and discuss these data in the context of true cell envelope localization versus experimentally caused cell lysis.