Tissue-specific microdissection coupled with ProteinChip array technologies: applications in cancer research

Analysis of whole genomes to monitor specific changes in gene activation or changes in gene copy number due to perturbation has recently become possible using DNA chip technologies. It is now becoming apparent, however, that knowing the genetic sequence encoding a protein is not sufficient to predict the size or biological nature of a protein. This can be particularly important in cancer research where posttranslational modifications of a protein can specifically lead to the disease. To address this area, several proteomic tools have been developed. Currently the most widely used proteomics tool is two-dimensional polyacrylamide gel electrophoresis (2D-PAGE), which can display protein expression patterns to a high degree of resolution. However, 2D-PAGE can be time consuming; the analysis is complicated and, compared with DNA techniques, is not very sensitive. Although some of these problems can be alleviated by using high-quality homogeneous samples, such as those generated using microdissection techniques, the quantity of sample is often limited and may take several days to generate sufficient material for a single 2D-PAGE analysis. As an alternative to 2D-PAGE, a preliminary study using a new technique was used to generate protein expression patterns from either whole tissue extracts or microdissected material. Surface-enhanced laser desorption and ionization allows the retention of proteins on a solid-phase chromatographic surface or ProteinChip Array with direct detection of retained proteins by time-of-flight mass spectrometry. Using this system, we analyzed tumor and normal tissue from head and neck cancer and microdissected melanoma to determine differentially expressed proteins. In particular, comparisons of the protein expression patterns from microdissected normal and tumor tissues indicated several differences, highlighting the importance of extremely defined tissue lysates for protein profiling.     

3种不同油桐种仁蛋白质提取方法比较研究

一种有效的蛋白质提取方法是蛋白质双向电泳成功分离的关键。油桐种仁可以用来制取工业用桐油,但其中富含大量的能干扰蛋白质提取的物质,并能影响双向电泳图谱的分辨率。本文中对油桐种仁蛋白质采用丙酮提取（方法A）、苯酚抽提（方法B）以及丙酮—苯酚结合提取（方法C）,并通过蛋白质双向电泳技术对这3种方法的提取效果进行比较研究。结果显示：采用方法C所提取的蛋白质样品,其蛋白浓度高达到8.1 μg·μL^-1;并且该方法对油桐种仁中的高分子量、低分子量蛋白均有较强的提取能力;此外,其蛋白样品经过双向电泳所得到的蛋白质点和图谱分辨率也较其余两种方法好。     

Optimization of 2D-PAGE protocols for proteomic analysis of two nonaxenic toxin-producing freshwater cyanobacteria: Cylindrospermopsis raciborskii and Raphidiopsis sp.

Aims:  To optimize a protocol for the extraction and an in-depth analysis of the soluble protein fraction of two nonaxenic toxin-producing cyanobacteria Cylindrospermopsis raciborskii (hepatotoxin-producing), and Raphidiopsis sp. (neurotoxin-producing), using two-dimensional polyacrylamide gel electrophoresis (2D-PAGE).
Methods and Results:  The soluble protein fractions from strains of C. raciborskii and Raphidiosis sp. with different toxicity phenotypes were analysed by 2D-PAGE. Specific protocols were optimized specifically for each strain. Between 500 and 700 sharp protein spots were distinguished in a single 4–7 pH range 2D-PAGE for each cyanobacterium. Comparison of the protein maps of C. raciborskii CS-505 (a cylindrospermopsin-producing strain) and Raphidiopsis sp. D9 (saxitoxin-producing strain) against the nontoxic C. raciborskii strain CS-509 revealed many unique proteins in each protein map. We confirmed that the resolved proteins were cyanobacterial by identifying three randomly chosen protein spots from a Raphidiopsis sp. strain D9 2D-PAGE, using high-performance liquid chromatography (HPLC) tandem mass spectrometry (MS).
Conclusions:  The 2D-PAGE conditions presented here provide a robust protocol for proteomic studies in two CYN- and STX-producing model organisms, C. raciborskii and Raphidiopsis sp.
Significance and Impact of the Study:  We present the first protocols for proteomic analyses of Cylindrospermopsis raciborskii and Raphidiopsis sp.     

An investigation of plasma collection, stabilization, and storage procedures for proteomic analysis of clinical samples

In order to evaluate the critical components of the process necessary to preserve clinical plasma samples collected at research sites for proteomic analysis, various collection and preservation protocols with controlled experimentation were evaluated. The presence of a protease inhibitor cocktail (PIC) included in the blood draw tube would stabilize the plasma proteins was hypothesized. To test this hypothesis, four plasma samples from each of 14 volunteers were collected. Samples were treated following a standard protocol that included PIC or were subjected to various processing treatments that included time, temperature, different anticoagulants, and the absence of PIC. Large format two dimensional-polyacrylamide gel electrophoresis (2D-PAGE) proteomic analysis and enzyme immunoassay (EIA) were used to detect differences between the treatment groups. A novel 2D-PAGE quality scoring method was developed to determine global differences in the treatment groups, wherein a rating scale questionnaire was used to quantify the quality of each 2D-PAGE gel. The data generated from EIAs, classical 2D-PAGE image analysis and 2D-PAGE quality scoring, each generated similar results. Inclusion of protease inhibitor cocktail in the sample tubes, provided stable and reliable human plasma samples that yielded reproducible results by proteomic analysis. When PIC was included, samples retained stability under less stringent processing, such that refrigeration for several hours before processing or one freeze-thaw cycle had little detrimental effect. We demonstrated that samples without PIC, from either heparin or ethylenediaminetetraacetic acid (EDTA) plasma tubes, gave results that varied significantly from the control samples. Also, even with PIC present in blood tubes, we found it was important to quickly decant the separated plasma from the cellular components found in the blood tubes following centrifugation, as prolonged exposure again yielded different results from the standard procedure.     

Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE): advances and perspectives

The recent trend in science is to assay as many biological molecules as possible within a single experiment. This trend is evident in proteomics where the aim is to characterize thousands of proteins within cells, tissues, and organisms. While advances in mass spectrometry have been critical, developments made in two-dimensional PAGE (2D-PAGE) have also played a major role in enabling proteomics. In this review, we discuss and highlight the advances made in 2D-PAGE over the past 25 years that have made it a foundational tool in proteomic research.     

Revealing urologic diseases by proteomic techniques

Proteomics, as the study of the proteomes of tissues and body fluids, has recently been introduced as a tool for revealing urologic diseases. Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and surface-enhanced laser desorption/ionzation (SELDI) are two techniques used in proteomic studies. Among the many urologic diseases, the malignancies including prostate cancer, bladder cancer, and renal cancer are the subjects most often selected for proteomic analysis. Poor reproducibility is one of the difficulties that must be overcome in order for proteomic technology to be a robust tool.     

Separation and identification of soybean leaf proteins by two-dimensional gel electrophoresis and mass spectrometry

To establish a proteomic reference map for soybean leaves, we separated and identified leaf proteins using two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and mass spectrometry (MS). Tryptic digests of 260 spots were subjected to peptide mass fingerprinting (PMF) by matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) MS. Fifty-three of these protein spots were identified by searching NCBInr and SwissProt databases using the Mascot search engine. Sixty-seven spots that were not identified by MALDI-TOF-MS analysis were analyzed with liquid chromatography tandem mass spectrometry (LC-MS/MS), and 66 of these spots were identified by searching against the NCBInr, SwissProt and expressed sequence tag (EST) databases. We have identified a total of 71 unique proteins. The majority of the identified leaf proteins are involved in energy metabolism. The results indicate that 2D-PAGE, combined with MALDI-TOF-MS and LC-MS/MS, is a sensitive and powerful technique for separation and identification of soybean leaf proteins. A summary of the identified proteins and their putative functions is discussed.     

Multidimensional chromatography: a powerful tool for the analysis of membrane proteins in mouse brain

Understanding the function of membrane proteins is of fundamental importance due to their crucial roles in many cellular processes and their direct association with human disorders. However, their analysis poses a special challenge, largely due to their highly amphipathic nature. Until recently, analyses of proteomic samples mainly were performed by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE), due to the unprecedented separation power of the technique. However, in conventional 2D-PAGE membrane proteins are generally underrepresented due to their tendency to precipitate during isoelectric focusing and their inefficient transfer from the first to the second dimension. As a consequence, several other separation techniques, primarily based on liquid chromatography (LC), have been employed for analysis of this group of proteins. In the present study, different LC-based methods were compared for the analysis of crude protein extracts. One- and two-dimensional high-performance liquid chromatographic (1D- and 2D-HPLC) separations of brain protein tryptic digests with a predicted concentration range of up to 5 orders of magnitude were found to be insufficient, thus making a preceding fractionation step necessary. An additional protein separation step was introduced and a 3D-PAGE-HPLC analysis was performed. The results of these experiments are compared with results of 2D-PAGE/matrix-assisted laser desorption ionization mass spectrometric (MALDI MS) analyses of the same samples. Features, challenges, advantages, and disadvantages of the respective systems are discussed. The brain (mouse and human) was chosen as the analyzed tissue as it is of high interest in medical and pharmaceutical research into neurological diseases such as multiple sclerosis, stroke, Alzheimer's disease, and Parkinson's disease. The study is part of our ongoing research aimed at identifying new biomarkers for neurodegenerative diseases.     

Depletion of highly abundant proteins in blood plasma by ammonium sulfate precipitation for 2D-PAGE analysis

Ammonium sulfate precipitation (ASP) was explored as a method for depleting some highly abundant proteins from blood plasma, in order to reduce the dynamic range of protein concentration and to improve the detection of low abundance proteins by 2D-PAGE. 40% ammonium sulfate saturation was chosen since it allowed depleting 39% albumin and 82% α-1-antitrypsin. ASP-depletion showed high reproducibility in 2D-PAGE analysis (4.2% variation in relative abundance of albumin), similar to that offered by commercial affinity-depletion columns. Besides, it allowed detecting 59 spots per gel, very close to the number of spots detected in immuno-affinity-depleted plasma. Thus, ASP at 40% saturation is a reliable depletion method that may help in proteomic analysis of blood plasma. Finally, ASP-depletion seems to be complementary to hydrophobic interaction chromatography (HIC)-depletion, and therefore an ASP-step followed by a HIC-step could probably deplete the most highly abundant plasma proteins, thus improving the detection of low abundance proteins by 2D-PAGE.     

Effectiveness and limitation of two-dimensional gel electrophoresis in bacterial membrane protein proteomics and perspectives

Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) using isoelectric focusing and SDS-PAGE in the first and second dimensions, respectively, is an established means of simultaneously separating over 1000 proteins and two new types have recently been developed. These procedures have significant shortcomings such as low load ability and poor separation of hydrophobic, acidic and alkaline proteins. We therefore modified the protocols to analyze the Bacillus subtilis membrane proteome. The 2D-PAGE techniques effectively separated membrane proteins having one and two transmembrane segments but not those with more than four. Compared with new LC/MS/MS procedures that are independent of electrophoretic separation, 2D-PAGE can globally analyze and quantify proteins at various stages of the cell cycle when labeled with isotopes such as 35S-methionine or the stable isotope, 15N.     

Investigations into charge heterogeneity of wool intermediate filament proteins

Genomic studies have shown that there are four abundant type I and type II intermediate filament proteins (IFPs) in wool. When separated using 2D-PAGE, the type I IFPs separated into four clearly defined major rows. The type II IFPs separated into two distinct staggered rows. The large number of spots seen by 2D-PAGE has previously been attributed to charge heterogeneity caused by post-translational modification of the protein. However, analysis of wool IFPs by 2D-PAGE techniques and mass spectrometry suggested an absence of phosphorylation or glycosylation modifications. Investigations with both the type I and type II IFPs showed that when single protein spots from a 2D-PAGE separation are eluted, re-focused and re-electrophoresed, several spots are formed on both the acidic and basic side of the original spot. Amino acid analysis, mass spectrometry and Ellman's assay support the hypothesis that the proteins have the same sequence but vary in isoelectric charge, due to differences in exposure of charged residues on the molecular surface. The cause of IFP charge heterogeneity is thus proposed to be a conformational equilibrium between several different forms of the same protein in the rehydration solution used for the first dimension.     

Proteomic analysis of B-cell malignancies

The identification of proteins aberrantly expressed in malignant B-cells can potentially be used to develop new diagnostic, prognostic or therapeutic targets. Proteomic studies of B-cell malignancies have made significant progress, but further studies are needed to increase our coverage of the B-cell malignant proteome. To achieve this goal we stress the advantages of using sub-cellular fractionation, protein separation, quantitation and affinity purification techniques to identify hitherto unidentified signalling and regulatory proteins. For example, proteomic analysis of B-cell plasma membranes isolated from patients with mantle cell lymphoma (MCL) identified the voltage-gated proton channel (HVCN1,[1]). This protein has now been characterised as a key modulator of B-cell receptor (BCR) signalling and abrogation of HVCN1 function could have a role in the treatment of B-cell malignancies dependent on maintained BCR signalling [2]. Similarly, proteomic studies on cell lysates from prognostic subtypes of CLL, distinguished by the absence (UM-CLL) or presence (M-CLL) of somatic hypermutation of the immunoglobulin heavy chain locus identified nucleophosmin 1 (NMP1) as a potential prognostic marker [3,4]. Thus, targeted proteomic analysis on selected organelles or sub-cellular compartments can identify novel proteins with unexpected localisation or function in malignant B-cells that could be developed for clinical purposes.     

Protein-protein interactions in plants

The study of protein-protein interactions (PPIs) is essential to uncover unknown functions of proteins at the molecular level and to gain insight into complex cellular networks. Affinity purification and mass spectrometry (AP-MS), yeast two-hybrid, imaging approaches and numerous diverse databases have been developed as strategies to analyze PPIs. The past decade has seen an increase in the number of identified proteins with the development of MS and large-scale proteome analyses. Consequently, the false-positive protein identification rate has also increased. Therefore, the general consensus is to confirm PPI data using one or more independent approaches for an accurate evaluation. Furthermore, identifying minor PPIs is fundamental for understanding the functions of transient interactions and low-abundance proteins. Besides establishing PPI methodologies, we are now seeing the development of new methods and/or improvements in existing methods, which involve identifying minor proteins by MS, multidimensional protein identification technology or OFFGEL electrophoresis analyses, one-shot analysis with a long column or filter-aided sample preparation methods. These advanced techniques should allow thousands of proteins to be identified, whereas in-depth proteomic methods should permit the identification of transient binding or PPIs with weak affinity. Here, the current status of PPI analysis is reviewed and some advanced techniques are discussed briefly along with future challenges for plant proteomics.     

Technical improvement to 2D-PAGE of rice organelle membrane proteins

Cytosolic and membrane-associated proteins prepared from rice cells were separated and compared by two different 2D-PAGE methods, isoelectric focusing (IEF)/SDS-PAGE and nonequilibrium pH gradient electrophoresis (NEPHGE)/SDS-PAGE. Although IEF/SDS-PAGE of the cytosolic proteins showed sufficient resolution, some mitochondrial and basic microsomal membrane-associated proteins were weakly or hardly detectable on the 2D gel. High-quality and -quantity separation of the organelle membrane-associated proteins was accomplished by NEPHGE/SDS-PAGE, the advantage of this method being more critical in tightly membrane-bound proteins that were unwashable with NaCl. These results indicate that NEPHGE/SDS-PAGE is a useful tool for the proteomic analysis of rice membrane-associated proteins.     

Methods for the detection and analysis of protein-protein interactions

A large number of methods have been developed over the years to study protein-protein interactions. Many of these techniques are now available to the nonspecialist researcher thanks to new affordable instruments and/or resource centres. A typical protein-protein interaction study usually starts with an initial screen for novel binding partners. We start this review by describing three techniques that can be used for this purpose: (i) affinity-tagged proteins (ii) the two-hybrid system and (iii) some quantitative proteomic techniques that can be used in combination with, e.g., affinity chromatography and coimmunoprecipitation for screening of protein-protein interactions. We then describe some public protein-protein interaction databases that can be searched to identify previously reported interactions for a given bait protein. Four strategies for validation of protein-protein interactions are presented: confocal microscopy for intracellular colocalization of proteins, coimmunoprecipitation, surface plasmon resonance (SPR) and spectroscopic studies. Throughout the review we focus particularly on the advantages and limitations of each method.     

The Protein Information and Property Explorer 2: gaggle-like exploration of biological proteomic data within one webpage

The Protein Information and Property Explorer 2 (PIPE2) is an enhanced software program and updated web application that aims at providing the proteomic researcher a simple, intuitive user interface through which to begin inquiry into the biological significance of a list of proteins typically produced by MS/MS proteomic processing software. PIPE2 includes an improved interface, new data visualization options, and new data analysis methods for combining disparate, but related, data sets. In particular, PIPE2 has been enhanced to handle multi-dimensional data such as protein abundance, gene expression, and/or interaction data. The current architecture of PIPE2, modeled after that of Gaggle (a programming infrastructure for interoperability between separately developed software tools), contains independent functional units that can be instantiated and pieced together at the user's discretion to form a pipelined analysis workflow. Among these functional units is the Network Viewer component, which adds rich network analysis capabilities to the suite of existing proteomic web resources. Additionally, PIPE2 implements a framework within which new analysis procedures can be easily deployed and distributed over the World Wide Web. PIPE2 is available as a web service at http://pipe2.systemsbiology.net/.     

Rice Proteome Database: A Step toward Functional Analysis of the Rice Genome

The technique of proteome analysis using two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) has the power to monitor global changes that occur in the protein complement of tissues and subcellular compartments. In this study, the proteins of rice were cataloged, a rice proteome database was constructed, and a functional characterization of some of the identified proteins was undertaken. Proteins extracted from various tissues and subcellular compartments in rice were separated by 2D-PAGE and an image analyzer was used to construct a display of the proteins. The Rice Proteome Database contains 23 reference maps based on 2D-PAGE of proteins from various rice tissues and subcellular compartments. These reference maps comprise 13129 identified proteins, and the amino acid sequences of 5092 proteins are entered in the database. Major proteins involved in growth or stress responses were identified using the proteome approach. Some of these proteins, including a β-tubulin, calreticulin, and ribulose-1,5-bisphosphate carboxylase/oxygenase activase in rice, have unexpected functions. The information obtained from the Rice Proteome Database will aid in cloning the genes for and predicting the function of unknown proteins.