蛋白质组学技术及其在生物医学上的应用

蛋白质组学部分承用了创立于二十多年前的二维电泳技术。基于其高分辩能力 ,二维电泳主要用于分离和检测复杂混合物中的蛋白质。虽然没有获得更多的改进 ,但是二维电泳结合了通过质谱测定蛋白质的最新进展而成为蛋白质组学中的一项重要技术。随着人类基因组计划项目的完成及由此而产生的大量基因数据库和使用这些数据的生物信息技术 ,科学家们的下一个目标是解析生物体的完整蛋白质组 ,把蛋白质组学数据与基因组学数据关联起来并有机地结合而成为一项有力的工具以阐明病理学中的蛋白质功能、衰老的过程及发现新药目标蛋白质和疾病标识物等。文章综述了蛋白质组学技术的最新知识及其在生物医学研究中的潜在应用     

Tissue and serum proteomic profiling for diagnostic and prognostic bladder cancer biomarkers

A panel of biomarkers for the early detection of bladder cancer has not yet been identified. Many different molecules, including DNA, RNA or proteins have been reported but none have provided adequate sensitivity for a single-tier screening test or a test to replace cystoscopy. Therefore, multimarker panels are discussed at present to give a more-precise answer to the biomarker quest. Mass spectrometry or 2D gel-electrophoresis have evolved greatly within recent years and are capable of analyzing multiple proteins or peptides in parallel with high sensitivity and specificity. However, transmission of screening results from one laboratory to another is still the main pitfall of those methods; a fact that emphasizes the need for consistent and standardized procedures as suggested by the Human Proteome Organization (HUPO). In this article, recent results in screening approaches and other proteomic techniques used for biomarker evaluation in bladder cancer are discussed with a focus on serum and tissue biomarkers.     

Enhancement of analyte ionization in desoprtion/ionization on porous silicon (DIOS)-mass spectrometry (MS)

Desorption/ionization on silicon mass spectrometry (DIOS-MS) is a relatively new laser desorption/ionization technique for mass spectrometry without employing an organic matrix. This present study was carried to survey the experimental factors to improve the efficiency of DIOS-MS through electrochemical etching condition in structure and morphological properties of the porous silicon. The porous structure of silicon structure and its properties are crucial for the better performance of DIOS-MS and they can be controlled by the suitable selection of electrochemical conditions. The fabrication of porous silicon and ion signals on DIOS-MS were examined as a function of silicon orientation, etching time, etchant, current flux, irradiation, pore size, and pore depth. We have also examined the effect of pre- and post-etching conditions for their effect on DIOS-MS. Finally, we could optimize the electrochemical conditions for the efficient performance of DIOS-MS in the analysis of small molecule such as amino acid, drug and peptides without any unknown noise or fragmentation.     

Proteomic strategies in the search for novel pancreatic cancer biomarkers and drug targets: recent advances and clinical impact

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers; despite a low incidence rate it is the fourth leading cause of cancer-related death in the world. Improvement of the diagnosis, prognosis and treatment remains the main focus of pancreatic cancer research. Rapid developments in proteomic technologies has improved our understanding of the pancreatic cancer proteome. Here, the authors summarise the recent proteomic strategies undertaken in the search for: novel biomarkers for early diagnosis, pancreatic cancer-specific proteins which may be used for novel targeted therapies and proteins which may be useful for monitoring disease progression post-therapy. Recent advances and findings discussed here provide great promise of having a significant clinical impact and improving the outcome of patients with this malignancy.     

Current status and future prospects in the search for protein biomarkers of immunosenescence

Complex adaptations including changes in cellular redox status, the production of high levels of pro-inflammatory cytokines and alterations in immunity occur as the result of aging of the immune system (immunosenescence). These events are thought to underlie the progression of chronic degenerative diseases of aging, such as atherosclerosis, Type 2 diabetes and Alzheimer’s disease. It is envisaged that identifying early biomarkers of immune aging would aid in identifying individuals at risk of age-related disease and would allow the discovery of novel intervention strategies. Proteomics has emerged as a rapidly expanding and innovative field, investigating protein expression, interaction and function at a global level. Several proteomic strategies, including use of mass spectrometry and non-mass spectrometry-based detection systems (including secondary antibody labeling with fluorescent tags) may be particularly advantageous in identifying biomarkers of immune health. Application of these approaches may identify factors that both contribute to (and define) age-dependent deregulation of the immune system.     

Proteomic analysis of differential protein expression in response to epidermal growth factor in neonatal porcine pancreatic cell monolayers

We have proposed that porcine neonatal pancreatic cell clusters (NPCCs) may be a useful alternative source of cells for islet transplantation, and that monolayer cultures might provide an opportunity to manipulate the cells before transplantation. In addition we previously identified 10 genes up-regulated by epidermal growth factor (EGF) in cultured porcine NPCC monolayers. We have now analyzed the intracellular signaling pathways activated by EGF and searched for proteins differentially expressed following EGF treatment of the monolayers, using two-dimensional gel electrophoresis (2-DE) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). EGF treatment resulted in phosphorylation of both Erk 1/2 and Akt, as well as increased cell proliferation. Five unknown and 13 previously identified proteins were differentially expressed in response to EGF. EGF treatment increased the expression of several structural proteins of epithelial cells, such as cytokeratin 19 and plakoglobin, whereas vimentin, the intermediate filament protein of mesenchymal cells, and non-muscle myosin alkali chain isoform 1, decreased. Heterogeneous nuclear ribonucleoprotein (hnRNP) A2/B1 factor, which promotes epithelial cell proliferation, and hemoglobin alpha I & II also increased, whereas cyclin A1, immunoglobulin heavy chain, apolipoprotein A1, 5,10-ethylenetetrahydrofolated reductase (5,10-MTHFR), angiotensin-converting enzyme 2 (ACE2), co-lipase II precursor, and NAD+ isocitrate dehydrogenase (NAD+ IDH) alpha chain proteins decreased. Our results show that EGF stimulates proliferation of pancreatic epithelial cells by simultaneously activating the MAPK and PI-3K pathways. HnRNP A2/B1, hemoglobin, cyclin A1, and ACE2 may play roles in the proliferation of epithelial cells in response to EGF.     

Detection of mutant protein in complex biological samples: glucocerebrosidase mutations in Gaucher's disease

We report a sensitive method to detect point mutations in proteins from complex samples. The method is based on surface-enhanced laser desorption/ionization time-of-flight (SELDI-ToF) MS but can be extended to other MS platforms. The target protein in this study is the lysosomal enzyme glucocerebrosidase (GC), the key enzyme in Gaucher's disease. Deficiency of GC activity results in accumulation of glucosylceramide in macrophages. The relationship between GC genotypes and Gaucher's patient phenotypes is not strict. The possibility to measure protein levels of GC in clinical samples may provide deeper insight into the phenomenology of Gaucher's disease. For this purpose, GC was isolated in a single enrichment step through interaction with an immobilized monoclonal antibody, 8E4. After on-chip digestion of the antibody-antigen complex with trypsin, a total of 25 GC peptides were identified (sequence coverage approximately 60%), including several peptides containing mutated amino acid residues. The described methodology allows mutational analysis on the protein level, directly measured on complex biological samples without the necessity of elaborate purification procedures.     

Clinical proteomics of breast cancer

Despite the lifetimes that increased in breast cancers due to the the early screening programs and new therapeutic strategies, many cases still are being lost due to the metastatic relapses. For this reason, new approaches such as the proteomic techniques have currently become the prime objectives of breast cancer researches. Various omic-based techniques have been applied with increasing success to the molecular characterisation of breast tumours, which have resulted in a more detailed classification scheme and have produced clinical diagnostic tests that have been applied to both the prognosis and the prediction of outcome to the treatment. Implementation of the proteomics-based techniques is also seen as crucial if we are to develop a systems biology approach in the discovery of biomarkers of the early diagnosis, prognosis and prediction of the outcome of the breast cancer therapies. In this review, we discuss the studies that have been conducted thus far, for the discovery of diagnostic, prognostic and predictive biomarkers, and evaluate the potential of the discriminating proteins identified in this research for clinical use as breast cancer biomarkers.     

Imaging mass spectrometry: principle and application

Imaging mass spectrometry (IMS) is two-dimensional mass spectrometry to visualize the spatial distribution of biomolecules, which does not need either separation or purification of target molecules, and enables us to monitor not only the identification of unknown molecules but also the localization of numerous molecules simultaneously. Among the ionization techniques, matrix assisted laser desorption/ionization (MALDI) is one of the most generally used for IMS, which allows the analysis of numerous biomolecules ranging over wide molecular weights. Proper selection and preparation of matrix is essential for successful imaging using IMS. Tandem mass spectrometry, which is referred to MSⁿ, enables the structural analysis of a molecule detected by the first step of IMS. Applications of IMS were initially developed for studying proteins or peptides. At present, however, targets of IMS research have expanded to the imaging of small endogenous metabolites such as lipids, exogenous drug pharmacokinetics, exploring new disease markers, and other new scientific fields. We hope that this new technology will open a new era for biophysics.     

Protein profiling in respiratory disease: techniques and impact

Multifactorial diseases such as respiratory disease call for a global analysis of such disorders. Recent advances in protein profiling techniques may allow for early diagnosis of respiratory disease, which is crucial for intervention and treatment. In order to reduce false-positive rates, clinical diagnosis requires a high degree of sensitivity and specificity to be an effective screening tool. Protein profiles identified by ProteinChip^® (Ciphergen Biosystems) technology coupled with mass spectrometry affords a global analysis of clinical samples and is beginning to reach acceptable levels of sensitivity and specificity. Combining the profile with another diagnostic tool enhances the effectiveness of protein profiles to classify disease. Although current efforts have centered on serum protein profiling, the local environment of the lung may be better reflected in proteins of bronchoalveolar lavage or sputum. Identification of biomarkers of disease by protein profiling anaylses may lead to an understanding of the mechanisms of this disease and contribute to the discovery of new therapeutics for the prevention and treatment of disease. Advancing these analyses are techniques such as ProteinChip mass spectrometry, laser capture microdissection, tissue microarrays and fluorescently labeled antibody bead arrays, which enable the direct global analysis of complex mixtures. Effective high-throughput and ease of use of clinical testing will arrive with improvements in bioinformatics and decreases in instrumentation costs.     

Proteomic analysis of traumatic brain injury: the search for biomarkers

Although there are a number of causes of traumatic brain injury (TBI), the armed conflict in Iraq and Afghanistan has brought this disorder to the attention of the global community. A biomarker that would enable army medics to rapidly diagnose the severity of TBI on the battle-field would be a huge asset. Unfortunately, the study of TBI has not historically attracted the proteomic research community’s interest as other disorders have, such as cancer. On the positive side, however, many of the analytical and technological challenges that were overcome in the development of biofluid proteomic methods are now being applied to the study of TBI. In this review, we discuss and highlight select examples of discovery-driven proteomic studies focused on finding effective biomarkers for TBI.     

蛋白质组研究中肽质量指纹谱鉴定方法的建立及应用

建立了用肽质量指纹谱和数据库检索方法鉴定凝胶电泳分离蛋白南的方法。用标准蛋白质对胶上蛋白５质原位酶切制备肽谱的方法进行了讨论。分析了实际细胞蛋白质样品,获得双向电泳分离的人肺癌细胞蛋白质谱中三个蛋白质点的肽指纹谱。并通过数据７库检索分别鉴定为甘油醛－３－磷酸脱氢酶－２,测在蛋白羟基末端水解同工酶和丙糖磷酸异构酶。     

Surface-enhanced laser desorption/ionization time of flight mass spectrometry protein profiling identifies ubiquitin and ferritin light chain as prognostic biomarkers in node-negative breast cancer tumors

Novel prognostic biomarkers are imperatively needed to help direct treatment decisions by typing subgroups of node-negative breast cancer patients. The current study has used a proteomic approach of SELDI-TOF-MS screening to identify differentially cytosolic expressed proteins with a prognostic impact in 30 node-negative breast cancer patients with no relapse versus 30 patients with metastatic relapse. The data analysis took into account 73 peaks, among which 2 proved, by means of univariate Cox regression, to have a good cumulative prognostic-informative power. Repeated random sampling (n = 500) was performed to ensure the reliability of the peaks. Optimized thresholds were then computed to use both peaks as risk factors and, adding them to the St. Gallen ones, improve the prognostic classification of node-negative breast cancer patients. Identification of ubiquitin and ferritin light chain (FLC), corresponding to the two peaks of interest, was obtained using ProteinChip LDI-Qq-TOF-MS. Differential expression of the two proteins was further confirmed by Western blotting analyses and immunohistochemistry. SELDI-TOF-MS protein profiling clearly showed that a high level of cytosolic ubiquitin and/or a low level of FLC were associated with a good prognosis in breast cancer.     

Proteomic analysis of progressive factors in uterine cervical cancer

Human papillomavirus (HPV) infections play a crucial role in the progress of cervical cancer. The high-risk HPV types are frequently associated with the development of malignant lesions. Some of the latest studies have demonstrated that the high-risk HPV 16 and 18 are predominantly detected in the more aggressive cancers. In the present study, we aimed to establish the proteomic profiles and characterization of the tumor related proteins by using two-dimensional gel electrophoresis (2-DE) and matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS). For proteomic analysis, patients infected by HPV 16 or 18 were included in this study. We compared nuclear protein and cytoplasmic protein, separately by using the subcellular fraction. Differential protein spots between cervical cancer with high-risk HPV, HPV 16 or HPV 18, and HaCaT cell lines were characterized by 2-DE. Those proteins analyzed by peptide mass fingerprinting based on MALDI-TOF MS and database searching were the products of oncogenes or proto-oncogenes, and the others were involved in the regulation of cell cycle, for general genomic stability, telomerase activation, and cell immortalization. However, there was no difference in protein characterization for cervical cancer between HPV 16 and HPV 18 infection. Nonetheless, these data are valuable for the mass identification of differentially expressed proteins involved in human uterine cervical cancer. Moreover, the data has enormous value for establishing the human uterine cervical cancer proteome database that can be used in screening a molecular marker for the further study of human uterine cervical cancer, and also for studying any correlation among the cancers induced by HPV.     

蛋白质芯片SELDI-TOFMS技术的研究进展及其在临床中的应用

蛋白质芯片为新一代的蛋白质组研究技术,由美国Ciphergen生物系统公司引进,表面增强激光解吸电离-飞行时间质谱(SELDI-TOFMS)提供一个高通量和高灵敏度的检测平台。投放至今虽短短10来年,但卓越的成果已广为医学科学界重视,尤其在恶性肿瘤的早期诊断、监控和预后研究上。蛋白质是细胞内执行生物功能的最终分子,蛋白质组学研究让人类更深入了解疾病和生命的本源,不断发现的特异性肿瘤标志物更为攻克癌症带来新希望。这里除对表面增强激光解吸电离_飞行时间质谱作较详尽的介绍外,更重点阐述其近年来蛋白质芯片近期的研究进展和在临床中的应用,并就其优劣和发展前景作出评估。     

紫芝免疫调节蛋白基因的原核表达与功能分析

以紫芝(Ganodermasinense)真菌免疫调节蛋白基因(FIP-gsi)为材料,采用原核表达技术进行蛋白表达,利用基质辅助激光解吸附质谱技术(MALDI-MS)鉴定表达的蛋白,通过体外诱导细胞因子表达技术分析细胞因子基因的表达模式,为真菌免疫调节蛋白生物活性及作用机制的研究奠定基础。结果表明:紫芝真菌免疫调节蛋白基因(FIP-gsi)可在原核细胞中表达,表达出的重组蛋白FIP-gsi约占大肠杆菌总蛋白的46.1%;基质辅助激光解吸附质谱技术鉴定显示表达的蛋白为FIP-gsi,与灵芝(G.lucidum)真菌免疫调节蛋白LZ-8有88.6%的一致性;重组蛋白FIP-gsi能够诱导细胞因子IL(interleukin)-2、IL-4、IFN(interferon)-γ,TNF(tumor necrosis factor)-α,LT(lymphotoxin)及IL-2 R(IL-2 receptor)表达,并且呈现一定的剂量关系。     

Proteomic profiling of eggs from a hybrid abalone and its parental lines: Haliotis discus hannai Ino and Haliotis gigantea

Proteomic analysis was performed on the eggs of hybrid abalone and their corresponding parental lines. A total of 915 ± 19 stained protein spots were detected from Haliotis discus hannai♀ × H. discus hannai♂ (DD), 935 ± 16 from H. gigantea♀ × H. gigantea♂ (GG) and 923 ± 13 from H. gigantea♀ × H. discus hannai♂ (GD). The spots from DD and GD were clustered together. The distance between DD and GG was maximal by hierarchical cluster analysis. A total of 112 protein gel spots were identified; of these, 59 were abalone proteins. The proteins were involved in major biological processes including energy metabolism, proliferation, apoptosis, signal transduction, immunity, lipid metabolism, electron carrier proteins, protein biosynthesis and decomposition, and cytoskeletal structure. Three of 20 differential expression protein spots involved in energy metabolism exhibited as upregulated in GD, 13 spots exhibited additivity, and four spots exhibited as downregulated in the offspring. Eleven protein spots were expressed at the highest level in DD. The proteins involved in stress responses included superoxide dismutase, peroxiredoxin 6, thioredoxin peroxidase and glutathione‐S‐transferase. Two of seven differential expression protein spots involved in response to stress exhibited as upregulated in GD, three exhibited additivity, and two exhibited as downregulated. These results might suggest that proteomic approaches are suitable for the analysis of hybrids and the functional prediction of abalone hybridization.     

Identification of Putative Biomarkers for Toluene-Degrading Burkholderia and Pseudomonads by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry and Peptide Mass Fingerprinting

The use of peptide mass fingerprinting with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was demonstrated to identify and phenotypically characterize toluene-degrading bacteria via biomarkers of degradation and taxonomical classification. Pseudomonas putida F1, P. mendocina KR1, and Burkholderia sp. JS150 were grown on toluene, extracted, electrophoretically separated, and analyzed by MALDI-TOF MS. Catabolic enzymes were identified and results substantiated using tandem MS.     

Proteomic profiling of proteins associated with lymph node metastasis in colorectal cancer

Lymph node metastasis (LNM) is associated with poor prognosis in colorectal cancer (CRC). The presence or absence of lymph node metastases is a strong independent prognostic factor for CRC survival. Investigation of proteins associated with the process of lymph node metastasis (LNM) is crucial for understanding of the molecular mechanisms underlying the LNM process and for predicting the CRC prognosis. In the present study, proteins from CRC tissues and adjacent normal mucosa (NMC) were examined using two‐dimensional gel electrophoresis coupled with MALDI‐TOF‐MS. The expression levels of Ferritin Heavy Chain (FHC) were decreased in LNM CRC as compared to those in non‐LNM CRC, while the expression of Cathepsin D and Ubiquitin C‐terminal hydrolase‐L1 (UCH‐L1) were increased in LNM CRC. The results were confirmed by Western blotting and immunohistochemical staining. Furthermore, in vitro cell invasion assay showed that the overexpression of UCH‐L1 through gene transfection increased the invasive ability of HCT8 cells, suggesting that UCH‐L1 is not only a biomarker for LNM in CRC, but also a functional protein that may play a significant role in cell migration. The proteins identified in the present study should further our understanding of the LNM process of CRC and may become useful markers for diagnosis and targets for therapeutic interventions. J. Cell. Biochem. 110: 1512–1519, 2010. © 2010 Wiley‐Liss, Inc.     

Characterisation of castor oil by on-line and off-line non-aqueous reverse-phase high-performance liquid chromatography-mass spectrometry (APCI and UV/MALDI)

A non-aqueous reverse-phase HPLC method, based on two columns in series, has been used to separate the major triacylglycerols (TAGs) from commercial castor oil and to perform either on-line negative ion atmospheric pressure chemical ionisation (APCI), or off-line positive ion matrix-assisted laser desorption ionisation (MALDI)/MS. The resulting Mass Spectra showed chloride-attached TAG molecules [M + CI]- in the case of negative-ion APCI, and sodium-attached TAG molecules [M + Na]+ in the case of positive-ion MALDI. For MALDI time-of-flight (TOF)/MS, a liquid binary matrix system consisting of sodium ferrocyanide and glycerol was applied, resulting in excellent TAG sensitivity, which was necessary for the determination of trace amounts of TAGs in castor oil. Both techniques allowed unambiguous molecular mass determination of the intact TAG molecules with no thermal degradation. Furthermore, seamless post source decay (PSD) fragment ion analysis by means of a curved field reflector TOF mass spectrometer allowed the determination of the fatty acid composition of each individual TAG. Castor oil contained eight different TAGs which were successfully determined by both APCI and MALDI techniques. In each TAG, at least two units of 12-hydroxy-9-octadecenoic acid (ricinoleic acid) were present. The following fatty acids were determined by seamless PSD fragment ion analysis and APCI/MALDI molecular mass determination as TAG substructures: ricinoleic acid, palmitic acid, stearic acid, oleic acid, linoleic acid, linolenic acid, dihydroxy stearic acid and eicosenoic acid. Triricinolein was the dominating TAG.