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PubMed2001

Proteomics: analytical tools and techniques.

Scientists have long been interested in measuring the effects of different stimuli on protein expression and metabolism. Analytical methods are being developed for the automated separation, identification, and quantitation of all of the proteins within the cell. Soon, investigators will be able to observe the effects of an experiment on every protein (as opposed to a selected few). This review presents a discussion of recent technological advances in proteomics in addition to exploring current methodological limitations.

Electrophoresis, Gel, Two-Dimensional↗
PubMed2006

[Determination of differentially expressed proteins and it's significance among chronic sinusitis, nasal polyps and normal nasal mucosa].

OBJECTIVE: To investigate the differentially expressed proteins among chronic sinusitis, nasal polyps and normal nasal mucosa by means of proteomic technology, and select the candidate biomarkers of chronic sinusitis and nasal polyps. METHODS: Proteins extracted from chronic sinusitis, nasal polyps and normal nasal mucosa were separated and the differentially expressed proteins were identified by series of proteomic tools, including immobilized pH4-7 gradient two-dimensional sodium dodecyl sulfate polyacrylamide gel electrophoresis, modified coomassie brilliant blue staining, images scanning by the Image Scanner apparatus, PDQuest analysis software, peptide mass fingerprinting based on matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS) by in-gel digestion extract, and Mascot searching in NCBInr and SWISS-PROT databases. RESULTS: The 2-DE patterns with high resolution and reproducibility were obtained. The protein spots separated and visualized in chronic sinusitis, nasal polyps and normal nasal mucosa gel were 1020 +/- 40, 1112 +/- 10 and 1008 +/- 25, respectively. And the match rates were (93 +/- 2)%, (95 +/- 1)% [see text] (90 +/- 3)% respectively. Thirteen differentially expressed spots were found from chronic sinusitis, nasal polyps and normal nasal mucosa gel. We selected and recommend Keratin 8 and APOA1 proteins as candidate biomarkers of nasal polyps, and PLUNC protein, PACAP protein, NKEF-B and SOD as candidate biomarkers of chronic sinusitis. CONCLUSIONS: The differentially expressed proteins among chronic sinusitis, nasal polyps and normal nasal mucosa can be efficiently and relatively reliably identified via the techniques of proteomics. These techniques will play a very important role in the researches for new objective indicators possibly employed in the future classifying, staging and prognosis.

Adolescent↗
PubMed2000

Adaptation of protein carbonyl detection to the requirements of proteome analysis demonstrated for hypoxia/reoxygenation in isolated rat liver mitochondria.

The key technique in proteome analysis is high-resolution two-dimensional (2D) electrophoretic separation of proteins from biological samples. This method combines isoelectric focusing (IEF) and sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). Derivatization of protein carbonyls with 2, 4-dinitrophenylhydrazine (DNPH) and subsequent anti-dinitrophenyl (DNP) immunoblotting is widely used for the detection of oxidatively modified proteins. In previous studies on adapting this method to 2D electrophoresis the derivatization step was carried out before and after the 2D procedure, resulting in an altered spot pattern and high background staining, respectively. The aim of the present experiments was to develop a method for protein derivatization with DNPH between the IEF and the SDS-PAGE steps. Mitochondria were exposed to 10 min hypoxia and 5 min reoxygenation. After IEF using immobilized pH gradients the gel strips were incubated in DNPH/trifluoroacetic acid/SDS for 20 min and neutralized, and SDS-PAGE was performed. Proteins were either stained with Coomassie dye or subjected to Western blotting using anti-DNP IgG. Gels and blots were scanned and matched to a master gel, and the relative carbonyl content of each spot was calculated and compared for five experiments. Importantly, the spot patterns in DNPH-treated and untreated gels were not different. Protein carbonyls could be detected in 59 of the 125 matched spots. Although there was no significant increase in the total protein carbonyl content after hypoxia/reoxygenation, eighteen 2D spots exhibited an increase in carbonyl content. However, most protein spots did not show a change or even a decline (4 spots) in protein carbonyls.

Animals↗
PubMed2003

Rice proteomics: a step toward functional analysis of the rice genome.

The technique of proteome analysis with two-dimensional PAGE has the power to monitor global changes that occur in the protein expression of tissues and organisms and/or expression that occurs under stresses. In this study, the catalogues of the rice proteome were constructed, and a functional characterization of some of these proteins was examined. Proteins extracted from tissues of rice and proteins extracted from rice under various kinds of stress were separated by two-dimensional PAGE. An image analyzer was used to reveal a total of 10,589 protein spots on 10 kinds of two-dimensional PAGE gels stained by Coomassie Brilliant Blue. The separated proteins were electroblotted onto a polyvinylidene difluoride membrane, and the N-terminal amino acid sequences of 272 of 905 proteins were determined. The internal amino acid sequences of 633 proteins were determined using a protein sequencer or mass spectrometry after enzyme digestion of the proteins. Finally, a data file of rice proteins that included information on amino acid sequences and sequence homologies was constructed. The major proteins involved in the growth and development of rice can be identified using the proteome approach. Some of these proteins, including a calcium-binding protein that turned out to be calreticulin and a gibberellin-binding protein, which is ribulose-1,5-bisphosphate carboxylase/oxygenase activase in rice, have functions in the signal transduction pathway. The information thus obtained from the rice proteome will be helpful in predicting the function of the unknown proteins and will aid in their molecular cloning.

Agrobacterium tumefaciens↗
PubMed2005

Rice proteome analysis: a step toward functional analysis of the rice genome.

The technique of proteome analysis using 2-DE has the power to monitor global changes that occur in the protein complement of tissues and subcellular compartments. In this review, we describe construction of the rice proteome database, the cataloging of rice proteins, and the functional characterization of some of the proteins identified. Initially, proteins extracted from various tissues and organelles were separated by 2-DE and an image analyzer was used to construct a display or reference map of the proteins. The rice proteome database currently contains 23 reference maps based on 2-DE of proteins from different rice tissues and subcellular compartments. These reference maps comprise 13 129 rice proteins, and the amino acid sequences of 5092 of these proteins are entered in the database. Major proteins involved in growth or stress responses have been identified by using a proteomics approach and some of these proteins have unique functions. Furthermore, initial work has also begun on analyzing the phosphoproteome and protein-protein interactions in rice. The information obtained from the rice proteome database will aid in the molecular cloning of rice genes and in predicting the function of unknown proteins.

Calreticulin↗
PubMed2005

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 beta-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.

Calreticulin↗
PubMed2004

[Establishment of two-dimensional gel electrophoresis technical platform for proteome research].

OBJECTIVE: To establish and optimize two-dimensional gel electrophoresis technique for proteomics. METHODS: Immobiline pH gradients isoelectric focusing was used as 1D, vertical SDS-PAGE as 2D, some factors such as method and volume of loading sample, choice of gels, concentration of SDS gels, preset of electric program and parameters, protocol for staining the gels were improved. RESULTS AND CONCLUSION: Using the proper method described above, satisfactory 2DE maps of human embryonic lung fibroblast(HLF) and silkworm egg were obtained. 2DE technical platform for proteome research was set up.

Animals↗
PubMed2004

Data mining techniques for cancer detection using serum proteomic profiling.

OBJECTIVE: Pathological changes in an organ or tissue may be reflected in proteomic patterns in serum. It is possible that unique serum proteomic patterns could be used to discriminate cancer samples from non-cancer ones. Due to the complexity of proteomic profiling, a higher order analysis such as data mining is needed to uncover the differences in complex proteomic patterns. The objectives of this paper are (1) to briefly review the application of data mining techniques in proteomics for cancer detection/diagnosis; (2) to explore a novel analytic method with different feature selection methods; (3) to compare the results obtained on different datasets and that reported by Petricoin et al. in terms of detection performance and selected proteomic patterns. METHODS AND MATERIAL: Three serum SELDI MS data sets were used in this research to identify serum proteomic patterns that distinguish the serum of ovarian cancer cases from non-cancer controls. A support vector machine-based method is applied in this study, in which statistical testing and genetic algorithm-based methods are used for feature selection respectively. Leave-one-out cross validation with receiver operating characteristic (ROC) curve is used for evaluation and comparison of cancer detection performance. RESULTS AND CONCLUSIONS: The results showed that (1) data mining techniques can be successfully applied to ovarian cancer detection with a reasonably high performance; (2) the classification using features selected by the genetic algorithm consistently outperformed those selected by statistical testing in terms of accuracy and robustness; (3) the discriminatory features (proteomic patterns) can be very different from one selection method to another. In other words, the pattern selection and its classification efficiency are highly classifier dependent. Therefore, when using data mining techniques, the discrimination of cancer from normal does not depend solely upon the identity and origination of cancer-related proteins.

Biomarkers, Tumor↗
PubMed2005

Immunoproteomics.

A novel immunoproteomic assay, combining specificity of antibody with precision of mass spectral analysis is described, and a number of practical applications are presented. The assay is carried out in three steps. The first step of the assay involves antibody immobilization, using a bacterial Fc binding support. The second step is antigen capture and washing to remove non-specific binding. The third step involves analysis of the captured antigens by SELDI-TOF. The assay has many advantages in sensitivity, speed, and economy of reagents in detection of specific antigens or antibodies. In addition, under appropriate experimental conditions, semi-quantitative data may be obtained. By combining the increasing range of selective specific antibody reagents available, in part due to advances in antibody engineering technology, and the resolving power available, using mass spectrometry, immunoproteomics is a valuable technique in proteomic analysis. A number of examples of the application of this technique to analysis of biological systems are presented.

Animals↗
PubMed2000

Techniques for the optimization of proteomic strategies based on head column stacking capillary electrophoresis.

Proteomics is the large-scale study of the proteins related to a genome. Presently, proteomic procedures have relied on mass spectrometry as a tool of choice to perform analysis of proteins. Optimization and understanding of the different steps involved in proteomics using mass spectrometry is expensive and time-consuming and, for this reason, have been typically paid insufficient attention. However, optimization becomes a critical issue as we try to analyze ever shrinking amounts of proteins. We present here the development of a technique that allows the rapid, sensitive, semiquantitative, and automated optimization of the processes involved in proteomics. Furthermore, it allows the rapid testing of new methodologies without having to rely on expensive mass spectrometric techniques. The technique, based on head column stacking capillary zone electrophoresis, allows the concentration, separation, and analysis of protein digests at concentrations from high picomoles to subfemtomoles per microliter and sample volumes from a few microliters to a few hundred microliters produced by proteomic processes. Furthermore, the incorporation of UV detection in the system allows the tracking of the relative changes in peptide levels observed during optimization. In addition, all the buffers and solvents used in this technique are compatible with its future coupling to electrospray ionization mass spectrometry. The potential of this technique for the analysis of low-abundance proteins is demonstrated using peptide standards and tryptic digests of standard proteins. Moreover, we exemplify the application of this technique in proteomic prototyping for the rapid and automated study of the procedure of enzymatic digestion of proteins.

Electrophoresis, Capillary↗
PubMed2003

Proteomic analysis of oxidatively modified proteins in Alzheimer's disease brain: insights into neurodegeneration.

Identification of oxidized proteins in Alzheimer's disease (AD) brain is hypothesized to lead to new insights into mechanisms of neurodegeneration and synapse loss in this dementing disorder that are associated with oxidative stress. Previous studies had shown increased oxidation of proteins in AD brain, but identifying those particular proteins that were specifically oxidized using standard immunochemical methods is a daunting task when one considers how many proteins there are in brain. To address this issue, proteomics has been used to identify specifically modified proteins in AD brain. This review outlines the nature of proteomics, the proteins identified in AD brain that are specifically oxidatively modified, and provides rational consequences related to neurodegeneration and synapse loss as sequelae to loss of function, due to oxidation and consistent with the known pathological and biochemical alteration in AD brain. The use of proteomics to learn about disease mechanisms is still embryonic, but the emerging techniques of proteomics represent a promising means to elucidate mechanisms of disease at the protein level. There are limitations to proteomics, and these, too, are discussed.

Alzheimer Disease↗
PubMed2005

Proteomics: the next revolution in laboratory medicine?

BACKGROUND: The identification of specific genetic alterations and protein profiles associated with disease offers a unique opportunity to develop proteomics-based assays for early diagnosis. By identifying proteins in serum/plasma, a minimally invasive tool is used to assess the presence of disease and to monitor response to treatment and/or disease progression. The potential clinical applications of this tool are broad-based, including the diagnosis not only of cancer but also cardiovascular and neuromuscular diseases, organ transplantation associated conditions, and infertility. METHODS: A number of competing chromatographic techniques have been proposed for overcoming the complexity and labor-intensive manipulations associated with the traditional technique for proteomic analysis, which is based on two-dimensional gel electrophoretic techniques. However, mass spectrometry has now assumed a central role in most proteomic workflows, and several combinations of ionization sources, analyzers and fragmentations devices have been described and developed. RESULTS: Thanks to proteomic applications in the diagnosis of cancer, several research groups have identified proteomic patterns associated with ovarian, prostatic, colorectal and other cancers. While the sensitivity and specificity of these patterns are highly satisfactory, there are still some open questions concerning the standardization, reproducibility, and inter-laboratory agreement of these data. CONCLUSIONS: Proteomics, and, in particular, serum mass spectroscopic proteomic pattern diagnostics, is a rapid expanding field of research. The plasma proteoma has an important position at the intersection between genes and diseases, and clinical laboratories must adapt to a new era of tests based on proteomics and genomics. In the future, mass spectrometry will become an essential tool in the clinical laboratory.

Biomarkers, Tumor↗
PubMed2006

Protein processing and other modifications analyzed by diagonal peptide chromatography.

Diagonal peptide chromatography consists of two consecutive, identical peptide separations with in between an enzymatic or chemical alteration of the side-chain structure of selected peptides. Such selected and altered peptides acquire different chromatographic properties thereby segregating from non-altered peptides in a series of secondary peptide separations. Originally described by Brown and Hartley in 1966, we have modified the technique such that it can be used for higher throughput gel-free proteomics. Our technique is termed COmbined FRActional DIagonal Chromatography (COFRADIC) and exploits evoked differences of the hydrophobicity of peptides in reverse-phase liquid chromatography. One important advantage of COFRADIC is its versatility: by changing the alteration reaction, different classes of peptides are sorted and finally analyzed. We previously published protocols and applications for separating methionyl, cysteinyl, amino terminal and phosphorylated peptides. In this review, we assess the potential of COFRADIC for the analysis of several posttranslational modifications emphasizing on in vivo protein processing events. Additional modifications that can be analyzed include phosphorylation and N-glycosylation. The potential of COFRADIC for isolating peptides holding such modified amino acids are discussed here.

Carbon Isotopes↗
PubMedDate not supplied

Enabling proteomics discovery through visual analysis. The peptide permutation and protein prediction tool.

Proteins play a key role in cellular processes, making proteomics central to understanding systems biology. MS techniques provide a means to observe entire proteomes at a global level. Yet, high-throughput MS proteomics techniques generate data faster than it can currently be analyzed. The success of proteomics depends on high-throughput experimental techniques coupled with sophisticated visual analysis and data-mining methods. Visual analysis has been applied successfully in a number of fields plagued with huge, complex data sets and will likely be an important tool in proteomics discovery. PQuad, a novel visualization of MS proteomics data, provides powerful analysis capabilities that support a number of proteomic data applications. In particular, PQuad supports differential proteomics by simplifying the comparison of peptide sets from different experimental conditions as well as different protein identification or confidence scoring techniques. Finally, PQuad supports data validation and quality control by providing a variety of resolutions for huge amounts of data to reveal errors undetected by other methods.

Algorithms↗
PubMed2005

Standardized approach to proteome profiling of human serum based on magnetic bead separation and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

BACKGROUND: Magnetic bead purification for the analysis of low-abundance proteins in body fluids facilitates the identification of potential new biomarkers by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). The aims of our study were to establish a proteome fractionation technique and to validate a standardized blood sampling, processing, and storage procedure for proteomic pattern analysis. METHODS: We used magnetic bead separation for proteome profiling of human blood by MALDI-TOF MS (mass range, 1000-10,000 Da) and studied the effects on the quality and reproducibility of the proteome analysis of anticoagulants, blood clotting, time and temperature of sample storage, and the number of freeze-thaw cycles of samples. RESULTS: The proteome pattern of human serum was characterized by approximately 350 signals in the mass range of 1000-10,000 Da. The proteome profile showed time-dependent dynamic changes before and after centrifugation of the blood samples. Serum mass patterns differed between native samples and samples frozen once. The best reproducibility of proteomic patterns was with a single thawing of frozen serum samples. CONCLUSION: Application of the standardized preanalytical blood sampling and storage procedure in combination with magnetic bead-based fractionation decreases variability of proteome patterns in human serum assessed by MALDI-TOF MS.

Adult↗
PubMed2000

A method for global analysis of complex proteomes using sample prefractionation by solution isoelectrofocusing prior to two-dimensional electrophoresis.

Two-dimensional electrophoresis is a critical technique for proteome research, but currently available methods are not capable of resolving the >10,000 protein components in most eukaryotic proteomes. We have developed and demonstrated the utility of a novel solution isoelectrofocusing device and method that can reproducibly prefractionate cell extracts into well-defined pools prior to 2D PAGE on a scale directly compatible with the high sensitivity of proteome studies. A prototype device was used to separate metabolically radiolabeled Escherichia coli extracts in method optimization and proof-of-principle experiments. Samples were loaded into separation chambers divided by thin polyacrylamide gels containing immobilines at specific pH values and isoelectrically focused for several hours, which resulted in well-resolved fractions. Total recoveries in the fractionated samples were greater than 80% and most protein spots in the original sample were recovered after this prefractionation step. Nonideal behavior (precipitation/aggregation), typically encountered when unfractionated samples at high protein loads were applied directly to either narrow- or broad-range IPG gels, was dramatically reduced. Hence this approach allows increases in overall protein loads, resolution, and dynamic detection range compared with either alternative prefractionation methods or direct use of parallel narrow pH range gels without sample prefractionation. The pH ranges and number of fractions can be readily adapted to the requirements of specific types of samples and projects. This method should allow quantitative comparisons of at least 10,000 protein components on a series of narrow pH range gels, and protein detection limits are estimated to be 1000 molecules per cell when mammalian proteomes are fractionated into five or more pools.

Cell Extracts↗