Proteomics and its applications for biomarker discovery in human saliva

Human saliva is a biological fluid with enormous diagnostic potential. Because saliva can be non-invasively collected, it provides an attractive alternative for blood, serum or plasma. It has been postulated that the blood concentrations of many components are reflected in saliva. Saliva harbors a wide array of proteins, which can be informative for the detection of diseases. Profiling the proteins in saliva over the course of disease progression could reveal potential biomarkers indicative of different stages of diseases, which may be useful in medical diagnostics. With advanced instrumentation and developed refined analytical techniques, proteomics is widely envisioned as a useful and powerful approach for salivary proteomic biomarker discovery. As proteomic technologies continue to mature, salivary proteomics have great potential for biomarker research and clinical applications. The progress and current status of salivary proteomics and its application in the biomarker discovery of oral and systematic diseases will be reviewed. The scientific and clinical challenges underlying this approach will also be discussed.     

Single-cell proteomic analysis of glucosinolate-rich S-cells in Arabidopsis thaliana

Single-cell analysis is essential for understanding the processes of cell differentiation and metabolic specialisation in rare cell types. The amount of single proteins in single cells can be as low as one copy per cell and is for most proteins in the attomole range or below; usually considered as insufficient for proteomic analysis. The development of modern mass spectrometers possessing increased sensitivity and mass accuracy in combination with nano-LC–MS/MS now enables the analysis of single-cell contents. In Arabidopsis thaliana, we have successfully identified nine unique proteins in a single-cell sample and 56 proteins from a pool of 15 single-cell samples from glucosinolate-rich S-cells by nanoLC–MS/MS proteomic analysis, thus establishing the proof-of-concept for true single-cell proteomic analysis. Dehydrin (ERD14_ARATH), two myrosinases (BGL37_ARATH and BGL38_ARATH), annexin (ANXD1_ARATH), vegetative storage proteins (VSP1_ARATH and VSP2_ARATH) and four proteins belonging to the S-adenosyl-l-methionine cycle (METE_ARATH, SAHH1_ARATH, METK4_ARATH and METK1/3_ARATH) with associated adenosine kinase (ADK1_ARATH), were amongst the proteins identified in these single-S-cell samples. Comparison of the functional groups of proteins identified in S-cells with epidermal/cortical cells and whole tissue provided a unique insight into the metabolism of S-cells. We conclude that S-cells are metabolically active and contain the machinery for de novo biosynthesis of methionine, a precursor for the most abundant glucosinolate glucoraphanine in these cells. Moreover, since abundant TGG2 and TGG1 peptides were consistently found in single-S-cell samples, previously shown to have high amounts of glucosinolates, we suggest that both myrosinases and glucosinolates can be localised in the same cells, but in separate subcellular compartments. The complex membrane structure of S-cells was reflected by the presence of a number of proteins involved in membrane maintenance and cellular organisation.     

Extracting gene function from protein-protein interactions using Quantitative BAC InteraCtomics (QUBIC)

Large-scale proteomic screens are increasingly employed for placing genes into specific pathways. Therefore generic methods providing a physiological context for protein-protein interaction studies are of great interest. In recent years many protein-protein interactions have been determined by affinity purification followed by mass spectrometry (AP-MS). Among many different AP-MS approaches, the recently developed Quantitative BAC InteraCtomics (QUBIC) approach is particularly attractive as it uses tagged, full-length baits that are expressed under endogenous control. For QUBIC large cell line collections expressing tagged proteins from BAC transgenes or gene trap loci have been developed and are freely available. Here we describe detailed workflows on how to obtain specific protein binding partners with high confidence under physiological conditions. The methods are based on fast, streamlined and generic purification procedures followed by single run liquid chromatography-mass spectrometric analysis. Quantification is achieved either by the stable isotope labeling of amino acids in cell culture (SILAC) method or by a 'label-free' procedure. In either case data analysis is performed by using the freely available MaxQuant environment. The QUBIC approach enables biologists with access to high resolution mass spectrometry to perform small and large-scale protein interactome mappings.     

PDIA1 和EF1D 在左侧和右侧结肠癌差异表达的实验研究

目的:初步确定蛋白质二硫化异构酶A1和延伸因子1-delta为左侧和右侧结肠癌中差异表达蛋白,为左侧和右侧结肠癌在肿瘤生物学方面的差异提供分子遗传学依据。方法:收集人左侧结肠癌(LSCC)和右侧结肠癌(RSCC)组织标本,进行二维凝胶电泳、质谱分析和生物信息学分离和鉴定左右侧结肠癌中差异表达蛋白质,进一步应用RT-PCR、Western Blot和免疫组织化学技术检测蛋白质二硫化异构酶A1和延伸因子1-delta在左侧和右侧结肠癌中的表达状态。结果:筛选并成功鉴定出左侧和右侧结肠癌中16种差异表达蛋白质,与右侧结肠癌比较,10种蛋白在左侧结肠癌表达上调,6种蛋白在左侧结肠癌表达下调,其中蛋白质二硫化异构酶A1在左侧结肠癌中表达上调,延伸因子1-delta在左侧结肠癌中表达下调,并通过RT-PCR、Western Blot和免疫组化方法证实了在左侧和右侧结肠癌中该两种蛋白表达的差异,与蛋白质组学结果一致。结论:左侧结肠癌和右侧结肠癌的蛋白质组存在差异,其中蛋白质二硫化异构酶A1和延伸因子1-delta在mRNA和蛋白水平均存在差异,这些可能是左侧和右侧结肠癌生物学行为差异的原因。     

How to Bring the “Unseen” Proteome to the Limelight via Electrophoretic Pre-Fractionation Techniques

The present review reports a panoply of electrophoretic methods as pre-fractionation tools in proteomic investigations in preparation for mass spectrometry or two-dimensional electrophoresis map analysis. Such electrophoretic pre-fractionation protocols include all those electrokinetic methodologies which are performed in free solution, most of them relying on isoelectric focusing steps (although some approaches based on gels and granulated media are also discussed). Devices associated with electrophoretic separations are multi-chamber apparatuses, such as the multi-compartment electrolyzers equipped with either isoelectric membranes or with isoelectric beads, Off-Gel electrophoresis in a multi-cup device and the Rotofor, an instrument also based on a multi-chamber system but exploiting the conventional technique of carrier-ampholyte-focusing. Other free-flow systems, as well as miniaturized chambers, are also described.     

A Bioinformatics Perspective on Proteomics: Data Storage, Analysis, and Integration

The field of proteomics is advancing rapidly as a result of powerful new technologies and proteomics experiments yield a vast and increasing amount of information. Data regarding protein occurrence, abundance, identity, sequence, structure, properties, and interactions need to be stored. Currently, a common standard has not yet been established and open access to results is needed for further development of robust analysis algorithms. Databases for proteomics will evolve from pure storage into knowledge resources, providing a repository for information (meta-data) which is mainly not stored in simple flat files. This review will shed light on recent steps towards the generation of a common standard in proteomics data storage and integration, but is not meant to be a comprehensive overview of all available databases and tools in the proteomics community.     

Application of metal-chelate affinity chromatography to the study of the phosphoproteome

Summary. With the increasing importance of proteome analysis, studying the phosphoproteome is a priority for functional studies. Therefore, a rational approach to simplifying the proteome is needed. In this work, we examined the use of immobilized metal affinity chromatography (IMAC) using ferric ions-chelated column for enriching crude cell extracts in phosphoproteins. The adsorption of the proteins on Fe³⁺ was obtained at an acidic pH 5.6, and their elution at a more basic pH in Tris buffer. To evaluate the separation, western blots were performed with either anti-phosphotyrosine or anti-phosphoserine/threonine. The analysis of the eluates demonstrated the selectivity of the separation, particularly for proteins phosphorylated on serine or threonine. In conclusion, the advantages and the limits of this approach are discussed.     

Proteomic profiling of human stem cells derived from umbilical cord blood

CD34+ preparations from five different umbilical cord samples were compared with respect to their proteome profile using 2-D gel electrophoresis. Fifty-two protein spots were found to match in all preparations referring to the high heterogeneity of such samples indicating a not fully developed (or instable) proteome of stem cells. All matching spots were subjected to in-gel digestion and nano-LC-MS/MS sequence analysis, from which 22 proteins were unambiguously identified.     

MALDI QqTOF MS combined with off-line HPLC for characterization of protein primary structure and post-translational modifications.

The addition of off-line high-performance liquid chromatography to matrix-assisted laser desorption/ionization mass spectrometry greatly reduces congestion in the mass spectra, and also provides complete decoupling of the separation process from mass detection and measurement. This removes the time constraints inherent in on-line coupling, and so enables the detailed mass-spectrometric study of samples at later times. We describe here our use of this method to successfully characterize two "unknown" protein mixtures that were set as problems by the ABRF Proteomics Research Group (PRG) in the years 2003 and 2004.