人肺鳞癌组织的血清蛋白质组学的比较分析

采用以肿瘤免疫学与蛋白质组学(proteomics)研究技术有机地结合为基础的血清蛋白质组学研究体系(serologicproteomeanalysis ,SERPA)筛选肺癌分子标志物.对10例人肺鳞癌组织,应用双向凝胶电泳(two dimensionalelectrophoresis ,2 DE)技术对同一肺鳞癌组织的细胞总蛋白同时进行电泳后获得3张相同的凝胶,其中一块2 DE凝胶经银染显色作为平行胶,其余两块2 DE凝胶经电转膜将凝胶中的蛋白质转至硝酸纤维素(NC)膜上,然后分别与肺癌患者的自身血清以及正常对照血清进行Western印迹分析,获取Western印迹反应图谱.经计算机图像分析识别差异反应的蛋白质,然后与平行胶比较找出相应的差异反应蛋白质点.获得了分辨率较高的人肺鳞癌组织与患者的自身血清以及正常对照血清的Western印迹反应图谱;图像分析共识别36±8个差异反应的蛋白质;在平行胶上找到了匹配的差异反应蛋白质点.对2 0个差异蛋白质点进行了肽质指纹图分析,鉴定出14个与细胞生长增殖、细胞代谢、细胞周期调控、信号转导等有关的肺鳞癌相关抗原.通过血清蛋白质组技术对肺鳞癌组织进行的研究,建立了分辨率较高的人肺鳞癌组织与患者的自身血清以及正常血清的Western印迹反应图谱,成功鉴定14个肺鳞癌相关抗原,为进一步筛选用于肺鳞癌诊断、治疗和预后评估     

胃癌及癌旁组织定量比较蛋白质组学研究

为寻找胃癌特异的肿瘤标记物,用于胃癌临床诊断及药物治疗靶点的选择,本研究采用荧光差异显示凝胶电泳（DIGE）技术分离并筛选 Cy3、Cy5 及 Cy2 荧光素标记的胃癌及对应癌旁组织差异表达蛋白质,用基质辅助激光解吸电离飞行时间质谱（MALDI-TOF MS）或串联质谱技术进行鉴定并分析。结果共筛选出 33 个差异表达蛋白质点,其中 9 个蛋白质点在胃癌组织中上调,24 个蛋白质点下调。对 22 个蛋白质点采用质谱技术成功鉴定,突变结蛋白、锰超氧化物歧化酶、热休克蛋白 60等在胃癌中高表达,热休克蛋白 27、前列腺素 F 合酶、硒结合蛋白 1、锌指蛋白 160、微管蛋白 α6、真核生物翻译延伸因子 1 α1 等在胃癌组织中低表达,并筛选出 5 个未知蛋白。这些差异表达蛋白可望成为胃癌诊断的特异标记物,并与胃癌的发生、发展及预后等有关,为胃癌的诊断、发生机制的研究提供了新的思路。     

Proteomic profiling of endothelial cells in human lung cancer

Genomic and proteomic analysis of normal and diseased tissues have yielded an abundance of molecular information for diagnostic and potential therapeutic targets. Changing the target of analysis from poorly accessible cells within tissues to easily accessible vascular endothelium has theoretical advantages in tissue-specific targeting. In this study, we sought to map a large-scale proteome of microvascular endothelium in human non-small cell lung cancer (NSCLC) and normal lung tissues, and identify lung cancer-related endothelial cell (EC)-selective proteins. Endothelial cells were isolated within NSCLC tissues and adjacent-normal lung tissue of lung cancer patients by using CD31-immunomagnetic beads. The complex proteins from the ECs were separated by one-dimensional gel electrophoresis, and the proteins in each gel band were digested by trypsin. Peptides were separated by online reverse-phase liquid-chromatography and analyzed by electrospray ionization (ESI) ion trap tandem mass spectrometry. Approximately 600-1000 proteins were identified in each individual sample. Five patient cases of paired individual data, extracted from the protein identification data sets of both normal- and cancer-derived ECs, were analyzed by subtractive proteomics. An average of 300 proteins was specifically identified from each lung cancer-derived EC isolate, compared to normal lung-derived ECs. With the use of several comparative analyses, we identified among those 300 proteins, 16 common candidate proteins that were detected in at least 3 of 5 cases specific to lung cancer-derived ECs. Proteins selectively identified in cancer-derived ECs, including coatomer protein complex, subunit gamma (COPG), and peroxiredoxin 4 (PRDX4), were validated by Western blot analysis. In an additional experiment in which 16 cancer samples were analyzed by immunohistochemistry, PRDX4, thymopoietin (TMPO), and COPG were confirmed to be abundantly expressed in lung cancer-derived ECs and in cancerous lung cells. Further ongoing analysis of these 16 candidate proteins will determine their potential applicability to NSCLC-specific diagnosis and therapeutics.     

Proteomic analysis distinguishes basaloid carcinoma as a distinct subtype of nonsmall cell lung carcinoma

The histopathologic type of lung cancer is known to be correlated with tumor behavior and prognosis. However, this classification is subjective and no specific molecular markers have been identified. The aim of this study was to identify protein markers in different types of nonsmall cell lung cancers. Two-dimensional polyacrylamide gel electrophoresis analysis was performed with paired samples of three squamous cell carcinomas, three adenocarcinomas, four large cell carcinomas, and four basaloid carcinomas. We found that 25 proteins in 14 cases of lung cancer were differentially expressed compared to matched nontumorous lung tissues. Among these 25 proteins, 11 proteins were down-regulated and 14 were up-regulated in these four types of lung cancer. Alloalbumin venezia, selenium-binding protein 1, carbonic dehydratase, heat shock 20KD-like protein, and SM22 alpha protein were down-regulated in all 14 cases of lung cancer examined, whereas alpha enolase was consistently up-regulated. Supervised hierarchical cluster analysis based on the 25 differentially expressed proteins showed that basaloid carcinoma formed one independent group, whereas the other three cancer types were not uniquely classifiable. Our findings suggest that basaloid carcinoma is a unique subtype of nonsmall cell lung carcinoma.     

Comparative proteomic analysis of lung tissue from patients with idiopathic pulmonary fibrosis (IPF) and lung transplant donor lungs

Idiopathic pulmonary fibrosis (IPF) is a progressive and fatal disease for which no effective therapy exists to date. To identify the molecular mechanisms underlying IPF, we performed comparative proteome analysis of lung tissue from patients with sporadic IPF (n = 14) and human donor lungs (controls, n = 10) using two-dimensional gel electrophoresis and MALDI-TOF-MS. Eighty-nine differentially expressed proteins were identified, from which 51 were up-regulated and 38 down-regulated in IPF. Increased expression of markers for the unfolded protein response (UPR), heat-shock proteins, and DNA damage stress markers indicated a chronic cell stress-response in IPF lungs. By means of immunohistochemistry, induction of UPR markers was encountered in type-II alveolar epithelial cells of IPF but not of control lungs. In contrast, up-regulation of heat-shock protein 27 (Hsp27) was exclusively observed in proliferating bronchiolar basal cells and associated with aberrant re-epithelialization at the bronchiolo-alveolar junctions. Among the down-regulated proteins in IPF were antioxidants, members of the annexin family, and structural epithelial proteins. In summary, our results indicate that IPF is characterized by epithelial cell injury, apoptosis, and aberrant epithelial proliferation.     

Application of fluorescence difference gel electrophoresis saturation labelling for the analysis of microdissected precursor lesions of pancreatic ductal adenocarcinoma

In order to identify new molecular markers for pancreatic intra-epithelial neoplasias (PanINs), the precursor lesions of pancreatic ductal adenocarcinoma, we established a proteomics approach analysing microdissected PanIN cells. Due to the limited amount of proteins available from microdissection, we developed a procedure including fluorescence dye saturation labelling in combination with high resolution two-dimensional gel electrophoresis. With this procedure we were able to analyse proteins extracted from 1000 microdissected cells with a high resolution of up to 2500 protein spots. Using protein lysates from the pancreatic carcinoma tissue as a reference proteome, we were able to successfully identify the proteins. Thus, we could match approximately 2200 protein spots (92%) of the microdissected sample proteome to the reference proteome for protein identification using matrix-assisted laser desorption/ionisation-time of flight mass spectrometry and nanoliquid chromatography-electrospray ionisation tandem mass spectrometry after in-gel digestion. The first proteome analysis of microdissected PanIN-2 grades revealed eight differentially expressed proteins. The differential expression of the three actin filament-associated proteins--transgelin, vimentin and MRCL3 as well as actin itself--indicates a relevant role of the actin cytoskeleton during pancreatic tumour progression. Additionally, two members of the annexin family (annexin A2 and A4) implicate a functional contribution of exocytotic and endocytotic pathways at that stage.     

Method for Label-Free Quantitative Proteomics for <Emphasis Type="Italic">Sorghum bicolor</Emphasis> L. Moench

Sorghum (Sorghum bicolor L. Moench) is a rapidly emerging high biomass feedstock for bioethanol and lignocellulosic biomass production. The robust varietal germplasm of sorghum and its completed genome sequence provide the necessary genetic and molecular tools to study and engineer the biotic/abiotic stress tolerance. Traditional proteomics approaches for outlining the sorghum proteome have many limitations like, demand for high protein amounts, reproducibility and identification of only few differential proteins. In this study, we report a gel-free, quantitative proteomic method for in-depth coverage of the sorghum proteome. This novel method combining phenol extraction and methanol chloroform precipitation gives high total protein yields for both mature sorghum root and leaf tissues. We demonstrate successful application of this method in comparing proteomes of contrasting cultivars of sorghum, at two different phenological stages. Protein identification and relative quantification analyses were performed by a label-free liquid chromatography tandem mass spectrometry (LC/MS-MS) analyses. Several unique proteins were identified respectively from sorghum tissues, specifically 271 from leaf and 774 from root tissues, with 193 proteins common in both tissues. Using gene ontology analysis, the differential proteins identified were finely corroborated with their leaf/root tissue specific functions. This method of protein extraction and analysis would contribute substantially to generate in-depth differential protein data in sorghum as well as related species. It would also increase the repertoire of methods uniquely suited for gel-free plant proteomics that are increasingly being developed for studying abiotic and biotic stress responses.     

Proteome analysis on an early transformed human bronchial epithelial cell line,BEP2D,after alpha-particle irradiation

To probe the mechanism of carcinogenesis of lung cancer at the molecular level and to find potential protein markers involved in the early phase of tumorgenesis, differential proteome analysis on primary passage cell line R15H, and early transformed cell line R15H20 derived from (238)Pu alpha-particle irradiation of human papillomavirus (HPV) 18-immortalized human bronchial epithelial cell line (BEP2D), was carried out using two-dimensional electrophoresis (2-DE) and peptide mass fingerprinting (PMF) with matrix-assisted laser desorption/ionisation-time of flight mass spectrometry. Image analysis and Student's t-test (p < 0.05) showed that three protein spots were only expressed in R15H, intensities of 43 protein spots on the gels were altered between R15H and R15H20. Two of the three spots that were only expressed in R15H were identified as high mobility group protein 1. Two proteins decreased in abundance in R15H20 were identified as maspin precursor, a tumor suppressor and aminoacylase-1. Ornithine aminotransferase and peptidyl-prolyl cis-trans isomerase A that were increased in R15H20, were also identified. Relationships between these differentially expressed proteins and the carcinogenesis mechanism of lung cancer are discussed. The protein expression profile of the R15H cell line was also constructed during the study as a reference map for further comparative proteome analysis of the irradiation induced BEP2D cell line. Of the 90 spots analyzed with PMF in the 2-DE gel of R15H cell line, 50 proteins were identified by searching the nonredundant protein database SWISS-PROT/TrEMBL.     

Proteomic Approach to Reveal the Proteins Associated with Encystment of the Ciliate Euplotes encysticus

In order to identify and reveal the proteins related to encystment of the ciliate Euplotes encysticus, we analyzed variation in the abundance of the proteins isolated from the resting cyst comparing with proteins in the vegetative cell. 2-D electrophoresis, MALDI-TOF MS techniques and Bioinformatics were used for proteome separation, quantification and identification. The comparative proteomics studies revealed 26 proteins with changes on the expression in the resting cysts, including 12 specific proteins and 14 differential proteins. 12 specific proteins and 10 out of the 14 differential proteins were selected and identified by MALDI-TOF MS. The identified specific proteins with known functions included type II cytoskeletal 1, keratin, Nop16 domain containing protein, protein arginine n-methyltransferase, epsilon-trimethyllysine hydroxylase and calpain-like protein. The identified differential proteins with known functions included Lysozyme C, keratinocyte growth factor, lysozyme homolog AT-2, formate acetyltransferase, alpha S1 casein and cold-shock protein. We discussed the functions of these proteins as well as their contribution in the process of encystment. These identified proteins covered a wide range of molecular functions, including gene regulation, RNA regulation, proteins degradation and oxidation resistance, stress response, material transport and cytoskeleton organization. Therefore, differential expression of these proteins was essential for cell morphological and physiological changes during encystment. This suggested that the peculiar proteins and differential proteins might play important roles in the process of the vegetative cells transforming into the resting cysts. These observations may be novel findings that bring new insights into the detailed mechanisms of dormancy.     

Different techniques for urinary protein analysis of normal and lung cancer patients

Many components in urine are useful in clinical diagnosis and urinary proteins are known as important components to define many diseases such as proteinuria, kidney, bladder and urinary tract diseases. In this study, we focused on the comparison of different sample preparation methods for isolating urinary proteins prior to protein analysis of pooled healthy and lung cancer patient samples. Selective method was used for preliminary investigation of some putative urinary protein markers. Urine samples were passed first through a gel filtration column (PD-10 desalting column) to remove high salts and subsequently concentrated. Remaining interferences were removed by ultrafiltration or four precipitation methods. The analysis of urinary proteins by high-performance liquid chromatography and sodium dodecyl sulfate-polyacrylamide gel electrophoresis showed many similarities in profiles among preparation methods and a few profiles were different between normal and lung cancer patients. In contrast, the results of two-dimensional gel electrophoresis (2-DE) showed more distinctly different protein patterns. Our finding showed that the sequential preparation of urinary proteins by gel filtration and ultrafiltration could retain most urinary proteins which demonstrated the highest protein spots on 2-D gels and able to identify preliminary urinary protein markers related to cancer. Although sequential preparation of urine samples by gel filtration and protein precipitation resulted in low amounts of proteins on 2-D gels, high Mr proteins were easily detected. Therefore, there are alternative choices for urine sample preparation for studying the urinary proteome and identifying urinary protein markers important for further preclinical diagnostic and therapeutic applications.     

蛋白质组学技术及其在肺脏疾病研究中的应用

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领域,其研究必须依赖高通量、高自动化的技术.简要介绍了蛋白质组分离技术(双向电泳、色谱),蛋白质组分析技术(质谱分析、氨基酸组成分析、蛋白质芯片,Edman降解法测N端序列),蛋白质相互作用技术(酵母双杂交系统、表面等离子共振)以及生物信息学.并从寻找差异表达的蛋白质,寻找用于诊断的疾病相关的标记分子,研究疾病的发病机制三方面介绍了蛋白质组技术在肺脏疾病研究中的应用.     

Protein profiling in potato (Solanum tuberosum L.) leaf tissues by differential centrifugation

Foliar diseases, such as late blight, result in serious threats to potato production. As such, potato leaf tissue becomes an important substrate to study biological processes, such as plant defense responses to infection. Nonetheless, the potato leaf proteome remains poorly characterized. Here, we report protein profiling of potato leaf tissues using a modified differential centrifugation approach to separate the leaf tissues into cell wall and cytoplasmic fractions. This method helps to increase the number of identified proteins, including targeted putative cell wall proteins. The method allowed for the identification of 1484 nonredundant potato leaf proteins, of which 364 and 447 were reproducibly identified proteins in the cell wall and cytoplasmic fractions, respectively. Reproducibly identified proteins corresponded to over 70% of proteins identified in each replicate. A diverse range of proteins was identified based on their theoretical pI values, molecular masses, functional classification, and biological processes. Such a protein extraction method is effective for the establishment of a highly qualified proteome profile.     

Method development of efficient protein extraction in bone tissue for proteome analysis

Exploring bone proteome is an important and challenging task for understanding the mechanisms of physiological/pathological process of bone tissue. However, classical methods of protein extraction for soft tissues and cells are not applicable for bone tissue. Therefore, method development of efficient protein extraction is critical for bone proteome analysis. We found in this study that the protein extraction efficiency was improved significantly when bone tissue was demineralized by hydrochloric acid (HCl). A sequential protein extraction method was developed for large-scale proteome analysis of bone tissue. The bone tissue was first demineralized by HCl solution and then extracted using three different lysis buffers. As large amounts of acid soluble proteins also presented in the HCl solution, besides collection of proteins in the extracted lysis buffers, the proteins in the demineralized HCl solution were also collected for proteome analysis. Automated 2D-LC-MS/MS analysis of the collected protein fractions resulted in the identification of 6202 unique peptides which matched 2479 unique proteins. The identified proteins revealed a broad diversity in the protein identity and function. More than 40 bone-specific proteins and 15 potential protein biomarkers previously reported were observed in this study. It was demonstrated that the developed extraction method of proteins in bone tissue, which was also the first large-scale proteomic study of bone, was very efficient for comprehensive analysis of bone proteome and might be helpful for clarifying the mechanisms of bone diseases.     

Top-down label-free LC-MALDI analysis of the peptidome during neural progenitor cell differentiation reveals complexity in cytoskeletal protein dynamics and identifies progenitor cell markers

In the field of stem cell research, there is a strong requirement for the discovery of new biomarkers that more accurately define stem and progenitor cell populations, as well as their differentiated derivatives. The very-low-molecular-weight (<5?kDa) proteome/peptidome remains a poorly investigated but potentially rich source of cellular biomarkers. Here we describe a label-free LC-MALDI-TOF/TOF quantification approach to screen the very-low-molecular-weight proteome, i.e. the peptidome, of neural progenitor cells and derivative populations to identify potential neural stem/progenitor cell biomarkers. Twelve different proteins were identified on the basis of MS/MS analysis of peptides, which displayed differential abundance between undifferentiated and differentiated cultures. These proteins included major cytoskeletal components such as nestin, vimentin, and glial fibrillary acidic protein, which are all associated with neural development. Other cytoskeletal proteins identified were dihydropyrimidinase-related protein 2, prothymosin (thymosin α-1), and thymosin β-10. These findings highlight novel stem cell/progenitor cell marker candidates and demonstrate proteomic complexity, which underlies the limitations of major intermediate filament proteins long established as neural markers.     

人类蛋白组学草图的肺癌分子标记物初探

传统的肺癌分子标记物探索通常基于基因组或者转录组研究,而基于蛋白质水平的肺癌分子标记物探索通常局限在低通量水平。质谱技术已经开始产生高通量的全局正常及癌症蛋白组。我们采用开源统计软件R对人类蛋白组学草图数据及已发表的肺癌蛋白质组学数据进行二次分析,筛选出91个潜在的候选肺癌分子标记物。基因注解分析显示候选肺癌基因富集了和代谢、TP53通路以及MicroRNA调控等相关的基因。最后,利用Human Protein Atlas数据库及Pubmed对前20候选标记物进行验证,结果显示大部分候选肺癌基因大多能够得到验证。可见数据挖掘在即将到来的质谱推动的组学大数据时代将发挥重要作用。