定量蛋白质组学分析方法及应用

蛋白质组学经历了近10年的发展,现在已经初具规模。但是由于它是动态地观察生物体不断变化的所有蛋白质,所以技术难度非常之大。为使研究简化并更具针对性,人们着重进行比较蛋白质组学的研究。为了具体量化这些蛋白质的变化产生了定量蛋白质组学,近几年各种标记技术的进步使得该学科得以迅猛发展。     

人胃黏膜上皮细胞与胃癌细胞间酪氨酸磷酸化的比较蛋白质组学研究

比较人正常胃黏膜上皮细胞GES-1与人胃癌细胞SGC-7901间酪氨酸磷酸化蛋白质的差异,筛选差异磷酸化蛋白质分子,为揭示胃癌发生发展的分子机制提供新的理论依据.采用免疫沉淀方法从人胃黏膜上皮细胞GES-1与人胃癌细胞SGC-7901总蛋白质中免疫沉淀出酪氨酸磷酸化蛋白质,用SDS-PAGE和二维凝胶电泳技术分离沉淀出的酪氨酸磷酸化蛋白质,银染,差异蛋白点进行胶内酶解,采用MALDI-TOF/TOF-MS质谱进行差异蛋白质鉴定.结果显示获得了7个差异酪氨酸磷酸化蛋白质,这些蛋白质涉及细胞骨架、细胞调控等.通过比较正常胃黏膜上皮细胞与胃癌细胞内酪氨酸磷酸化蛋白质的差异,筛选获得7个差异酪氨酸磷酸化蛋白质分子,有助于深入研究胃癌发生发展的分子机制,进而为胃癌的早期诊断和防治提供新的理论依据和作用靶标.     

定量蛋白质组学研究技术

随着蛋白质组研究的深入发展,人们已不满足对一个混合体系中蛋白质进行定性和简单定量分析,要求更加准确的定量分析。为此,有人提出了“定量蛋白质组学”概念。目前,应用于定量蛋白质学的研究技术主要有：蛋白质荧光染色技术,同位素标记技术,同位素亲和标签技术,蛋白质芯片技术。     

定量蛋白质组学研究的技术体系

从蛋白质组水平上对基因表达进行准确的定量分析,是比较蛋白质组学的重要内容,是研究重大疾病致病机制以及药理控制机制的必要手段。定量分析蛋白质组的方法主要包括:2DE结合串联质谱技术,稳定同位素标记技术等。     

ER/PR阳性和阴性乳腺癌的定量蛋白质组学和生物信息学比较研究

目的:建立雌/孕激素受体(ER/PR)阴性和阳性乳腺癌的蛋白质表达谱,寻找ER/PR阴性和阳性乳腺癌中差异表达蛋白,为乳腺癌患者提供新的预后预测指标和治疗新靶点。方法:应用蛋白质组学i TRAQ技术建立ER/PR阳性和阴性乳腺癌的蛋白质差异表达谱,鉴定两组乳腺癌的差异表达蛋白,对部分差异表达蛋白进行生物信息学分析,包括蛋白功能注释和分类GO分析和KEGG通路分析。结果:应用i TRAQ蛋白质组学技术对乳腺癌组织进行了蛋白组学分析,鉴定出ER/PR阳性和阴性组间有差异表达的蛋白4999种,以ER/PR阳性:ER/PR阴性≥3为上调标准,确定ER/PR阳性组上调蛋白101种。以ER/PR阳性:ER/PR阴性≤0.5为下调标准,ER/PR阳性组下调蛋白122种。GO分析结果显示ER/PR受体阴性和阳性乳腺癌的差异表达蛋白的分子功能、生物过程、细胞定位较为复杂,并且在上调蛋白和下调蛋白上存在分布差异。KEGG通路分析发现部分差异表达蛋白涉及201条信号通路。结论:ER/PR阳性和阴性乳腺癌间存在差异表达蛋白,这些蛋白涉及复杂的分子功能、生物过程和信号通路。     

定量蛋白质组学中的同位素标记技术

定量蛋白质组学的目的是对复杂的混合体系中所有的蛋白质进行鉴定,并对蛋白质的量及量的变化进行准确的测定,是当前系统生物科学研究的重要内容。近年来,由于质谱技术和生物信息学的进步,定量蛋白质组学在分析蛋白质组或亚蛋白质组方面已取得了令人瞩目的成就,但其最显著的成就应该归功于稳定同位素标记技术的应用。该技术使用针对某一类蛋白具有特异性的化学探针来标记目的蛋白质或肽段,同时化学探针要求含有用以精确定量的稳定同位素信号。在此基础上,实现了对表达的蛋白质差异和翻译后修饰的蛋白质差异进行精确定量分析。综述了在定量蛋白质组学中使用的各种同位素标记技术及其应用。     

卵巢高/低级别浆液性癌的定量蛋白质组学比较研究

目的:探讨卵巢高级别浆液性癌和低级别浆液性癌的差异表达蛋白,为阐明卵巢癌发生机制及寻找诊断和预后标志物的提供线索。方法:收集卵巢癌新鲜组织标本冻存于液氮中,经病理学确诊为高级别浆液性癌和低级别浆液性癌,两种类型各收集15例。应用i TRAQ定量蛋白质组学技术筛选及鉴定高/低级别浆液性癌的差异表达蛋白,并进行生物信息学分析。结果:卵巢高级别和低级别浆液性癌组织的定量蛋白质组学比较研究鉴定出差异表达蛋白314个,其中与低级别浆液性癌组比较,高级别浆液性癌组上调蛋白有97种,下调蛋白有217种。GO分析显示这些差异蛋白在分子功能、生物学功能、细胞成分方面均具有一定分布特点。KEGG分析显示这些差异蛋白涉及复杂的信号通路。结论:高/低级别浆液性癌之间存在差异表达蛋白,这些蛋白涉及复杂的功能和信号通路可能在两型卵巢癌发生机制及肿瘤生物学行为差异中具有重要意义。     

定量蛋白质组学无标记定量方法的研究进展

依靠质谱技术的蛋白质组学快速发展,寻求速度快、重复性好以及准确度高的定量方法是该领域的一项艰巨任务,定量蛋白质组学分支领域应运而生．其中,无标记定量方法以其样品制备简单、耗材费用低廉以及结果数据分析便捷等优点渐露锋芒．无标记定量方法通常分为信号强度法和谱图计数法两大类．本文在这两种无标记定量方法计算原理的基础上,针对各种常用的无标记定量方法及最新进展做一个较为全面的介绍,并将详细讨论两类方法的异同点,以及目前蛋白质组学中无标记定量方法所面临的主要挑战,希望能为这一领域的研究人员在选择无标记定量方法时提供一个合理的参考．     

高精度相对和绝对定量的等量异位标签在定量蛋白质组学研究中的新进展

蛋白质组学逐渐从定性研究转向定量研究。在定量蛋白质组学技术中,相对和绝对定量的等量异位标签(Isobaric tags for relative and absolute quantitation,iTRAQ)是应用最广泛的技术之一,具有通量高、稳定性强及不受样品来源制约等优点,几乎可以对任意样品进行标记,而且可以同时对多达8个样品进行定量分析,有效地提高了通量。iTRAQ技术不断改进,其定量准确性显著提高,适用的平台越来越多,为微生物、动物、植物、生物医学领域蛋白质及其翻译后修饰组研究创造了条件。文中综述了高精度iTRAQ技术在定量蛋白质组学研究中的最新发展及其应用。     

胃癌及癌旁组织中无芽孢厌氧菌相关性的研究

在实验研究过程中发现 ,不同的消化道疾病患者 ,胃黏膜微生物群的检出率、菌种、数量均有不同 ,其中胃癌组微生物群改变最明显。为了解微生物与胃癌的相关性 ,对 5 7例胃癌患者的癌组织和癌旁组织进行了无芽孢厌氧菌的检测 ,实验结果表明 ,胃癌病变的中心部位与癌旁组织的无芽孢厌氧菌的检出情况不同。胃癌组织检出的主要为革兰氏阳性无芽孢厌氧菌 (优杆菌、丙酸杆菌、消化链球菌等 ) ,占检出菌株的 6 4 .86 %(48/74 ) ,其中硝酸盐还原实验阳性菌株为 5 9.4 6 % (44 /74 )。癌旁组织检出的主要为革兰氏阴性无芽孢厌氧菌 (类杆菌、梭杆菌、紫单胞菌、韦荣球菌 ) ,占检出细菌的 5 7.14 % (2 4 /42 ) ,硝酸盐还原实验阳性菌株为16 .6 7% (7/42 )。胃癌的病因受多种因素的影响 ,在胃癌组织中检测到无芽孢厌氧菌对胃癌的形成起到的作用 ,有待进一步研究。     

Mitochondrial comparative proteomics of human ovarian cancer cells and their platinum-resistant sublines

Resistance to platinum-based chemotherapy is the major obstacle to successful treatment of ovarian cancer. It is evident that mitochondrial defects and the dysfunctions of oxidative phosphorylation and energy production in ovarian cancer cells were directly related to their resistance to platinum drugs. Using 2-D DIGE, we compared mitochondrial proteins from two platinum-sensitive human ovarian cancer cell lines (SKOV3 and A2780) with that of four platinum-resistant sublines (SKOV3/CDDP, SKOV3/CBP, A2780/CDDP, and A2780/CBP). Among the 236 differentially expressed spots, five mitochondrial proteins (ATP-α, PRDX3, PHB, ETF, and ALDH) that participate in the electron transport respiratory chain were identified through mass spectrometry. All of them are downregulated in one or two of the platinum-resistant cell lines. Three proteins (ATP-α, PRDX3, and PHB) were validated by using western blot and immunohistochemistry. There is a significant decrease of PHB in tumor tissues from ovarian cancer patients who were resistant to platinum-based chemotherapies. This is the first direct mitochondrial proteomic comparison between platinum-sensitive and resistant ovarian cancer cells. These studies demonstrated that 2-D DIGE-based proteomic analysis could be a powerful tool to investigate limited mitochondrial proteins, and the association of PHB expression with platinum resistance indicates that mitochondria defects may contribute to platinum resistance in ovarian cancer cells.     

Meta-analysis of microRNA-183 family expression in human cancer studies comparing cancer tissues with noncancerous tissues

MicroRNA-183 (miR-183) family is proposed as promising biomarkers for early cancer detection and accurate prognosis as well as targets for more efficient treatment. The results of their expression feature in cancer tissues are inconsistent and controversy still exists in identifying them as new biomarkers of cancers. Therefore, to systemically evaluate the most frequently reported cancers in which miR-183 family members were up- or down-regulated is critical for further investigation on physiological impact of its aberrant regulation in specific cancers. The published studies that compared the level of miR-183 family expression in cancer tissues with those in noncancerous tissues were reviewed by the meta-analysis with a vote-counting strategy. Among the 49 included studies, a total of 18 cancers were reported, with 11 cancers reported in at least two studies. In the panel of miR-183 family members' expression analysis, colorectal cancer and prostate cancer ranked at the top among consistently reported cancer types with up-regulated feature. Bladder cancer, lung cancer and hepatocellular carcinoma were the third most frequently reported cancer types with significant over-expression of miR-96, miR-182 and miR-183 respectively. Breast cancer and gastric cancer were presented with inconsistent regulations and the members of this family had their own distinct regulated features in other different cancers. MiR-183 family, either individually or as a cluster, may be useful prognostic markers and/or therapeutic targets in several cancers. Further studies and repeat efforts are still required to determine the role of miR-183 family in various cancer progressions.     

Treatment of missing values for multivariate statistical analysis of gel-based proteomics data

The presence of missing values in gel-based proteomics data represents a real challenge if an objective statistical analysis is pursued. Different methods to handle missing values were evaluated and their influence is discussed on the selection of important proteins through multivariate techniques. The evaluated methods consisted of directly dealing with them during the multivariate analysis with the nonlinear estimation by iterative partial least squares (NIPALS) algorithm or imputing them by using either k-nearest neighbor or Bayesian principal component analysis (BPCA) before carrying out the multivariate analysis. These techniques were applied to data obtained from gels stained with classical postrunning dyes and from DIGE gels. Before applying the multivariate techniques, the normality and homoscedasticity assumptions on which parametric tests are based on were tested in order to perform a sound statistical analysis. From the three tested methods to handle missing values in our datasets, BPCA imputation of missing values showed to be the most consistent method.     

Identification of proteins responsible for the development of adriamycin resistance in human gastric cancer cells using comparative proteomics analysis

Resistance to anticancer drugs is a major obstacle in the effective treatment of tumors. To understand the mechanisms responsible for multidrug resistance (MDR), a proteomic approach was used to identify proteins that were expressed in different levels by the adriamycinresistant human gastric cancer cell line, SGC7901/ADR, and its parental cell line, SGC7901. Two-dimensional gel electrophoresis (2-DE) and image analysis was used to determine which protein spots were expressed in different levels by the two cell lines. These spots were then partially identified using ESI-Q-TOF mass spectrometry, and the differential expressional levels of the partially identified proteins were then determined by western blot analysis and real-time RT-PCR. Additionally, the association of Nucleophosmin (NPM1), a protein that was highly expressed by SGC7901/ADR, with MDR was analyzed using siRNA. As a result of this study, well-resolved, reproducible 2-DE patterns of SGC7901/ADR and SGC7901 were established, and 16 proteins that may play a role in the development of thermoresistance were identified. Additionally, suppression of NPM1 expression was found to enhance adriamycin chemosensitivity in SGC7901/ADR. These results provide a fundamental basis for the elucidation of the molecular mechanism of MDR, which may assist in the treatment of gastric cancer.     

Quantitative proteomics identified 3 oxidative phosphorylation genes with clinical prognostic significance in gastric cancer

The aim of the present study was to explore the underlying mechanisms involved in gastric cancer (GC) formation using data‐independent acquisition (DIA) quantitative proteomics analysis. We identified the differences in protein expression and related functions involved in biological metabolic processes in GC. Totally, 745 differentially expressed proteins (DEPs) were found in GC tissues vs. gastric normal tissues. Despite enormous complexity in the details of the underlying regulatory network, we find that clusters of proteins from the DEPs were mainly involved in 38 pathways. All of the identified DEPs involved in oxidative phosphorylation were down‐regulated. Moreover, GC possesses significantly altered biological metabolic processes, such as NADH dehydrogenase complex assembly and tricarboxylic acid cycle, which is mostly consistent with that in KEGG analysis. Furthermore the higher expression of UQCRQ, NDUFB7 and UQCRC2 were positively correlated with a better prognosis, implicating these proteins may as novel candidate diagnostic and prognostic biomarkers.     

Comparative proteome analysis of breast cancer and adjacent normal breast tissues in human

Two-dimensional polyacrylamide gel assisted laser desorption/ionization electrophoresis （2D-PAGE） and matrixtandem time-of-flight mass spectrometry （MALDI-TOF/TOF-MS）, incorporated with online database searching, were performed to investigate differential proteins of breast cancer and adjacent normal breast tissues. Considering that serum albumin is abundantly presented in normal control samples, 15 differential spots detected in 11 out of 12 （91.7%） breast cancer samples were identified by online SIENA-2DPAGE database searching and MALDI-TOF/TOF-MS analysis. The results indicate that pathological changes of breast cancer are concerned with augmentation of substance metabolism, promotion of proteolytic activity, decline of activity of some inhibitors of enzymes, and so on. Some important proteins involved in the pathological process of breast cancer with changed expression may be useful biomarkers, such as alpha-l-antitrypsin, EF- 1-beta, cathepsin D, TCTP, SMT3A, RPS12, and PSMA1, among which SMT3A, RPSl2, and PSMA1 were first reported for breast cancer in this study.     

癌症差异蛋白质组学研究中样品分离和鉴定分析技术

随着人类基因组测序的完成,癌症研究的重点从基因组学转移到蛋白质组学研究中。癌症研究中的差异蛋白质组学技术也飞速发展,包括癌症样品制备、分离,蛋白质鉴定分析、蛋白质组定量研究和翻译后修饰研究等。这些技术极大地推动了与癌症相关的差异蛋白质组学研究,使蛋白质组学在癌症早期诊断、治疗,监测以及发现新药物治疗靶标方面发挥更大的作用。本文主要综述了近年来癌症差异蛋白质组学研究中样品分离和鉴定分析技术。     

Comparison of DIGE and post-stained gel electrophoresis with both traditional and SameSpots analysis for quantitative proteomics

2-DE is an important tool in quantitative proteomics. Here, we compare the deep purple (DP) system with DIGE using both a traditional and the SameSpots approach to gel analysis. Missing values in the traditional approach were found to be a significant issue for both systems. SameSpots attempts to address the missing value problem. SameSpots was found to increase the proportion of low volume data for DP but not for DIGE. For all the analysis methods applied in this study, the assumptions of parametric tests were met. Analysis of the same images gave significantly lower noise with SameSpots (over traditional) for DP, but no difference for DIGE. We propose that SameSpots gave lower noise with DP due to the stabilisation of the spot area by the common spot outline, but this was not seen with DIGE due to the co-detection process which stabilises the area selected. For studies where measurement of small abundance changes is required, a cost-benefit analysis highlights that DIGE was significantly cheaper regardless of the analysis methods. For studies analysing large changes, DP with SameSpots could be an effective alternative to DIGE but this will be dependent on the biological noise of the system under investigation.