Mass spectrometry: a tool for the identification of proteins separated by gels

Proteomic analyses of a robust versus a poor chicken gastrointestinal colonizing isolate of Campylobacter jejuni

Campylobacter spp. are a significant contributor to the bacterial etiology of acute gastroenteritis in humans. Epidemiological evidence implicates poultry as a major source of the organism for human illness. However, the factors involved in colonization of poultry with Campylobacter spp. remain unclear. Determining colonization-associated factors at the proteome level should facilitate our understanding of Campylobacter spp. contamination of poultry. Therefore, proteomic analyses were utilized to identify expression differences between two Campylobacter jejuni isolates, a robust colonizer A74/C and a poor colonizing strain of the chicken gastrointestinal system designated NCTC 11168-PMSRU. Proteomic analyses by two-dimensional gel electrophoresis revealed the specific expression of an outer membrane-fibronectin binding protein, serine protease, and a putative aminopeptidase in the soluble portion of the robust colonizer A74C. Several proteins including a cysteine synthase and aconitate hydratase were detected specifically in the poor colonizer C. jejuni NCTC 11168-PMSRU isolate. Variation in the amino acid sequences resulting in different isoelectric points and relative mobility of the flagellin and C. jejuni major outer membrane (MOMP) protein were also detected between the two isolates. Western blotting of the bacterial proteins revealed the presence of two flagellin proteins in the poor colonizer versus one in the robust colonizing isolate, but no differences in MOMP. The results demonstrated that proteomics is useful for characterizing phenotypic variation among Campylobacter spp. isolates. Interestingly, different gene products potentially involved in robust colonization of chickens by Campylobacter spp. appear to conform to recently identified expression patterns in Biofilm or agar-adapted isolates.

Sample preparation by in-gel digestion for mass spectrometry-based proteomics

The proteomic characterization of proteins and protein complexes from cells and cell organelles is the next challenge for investigation of the cell. After isolation of the cell compartment, three steps have to be performed in the laboratory to yield information about the proteins present. The protein mixtures must be separated into single species, broken down into peptides, and, finally, identified by mass spectrometry. Most scientists engaged in proteomics separate proteins by electrophoresis. For characterization and identification of proteomes, mass spectrometry of peptides is the method of choice. To combine electrophoresis and mass spectrometry, sample preparation by "in-gel digestion" has been developed. Many procedures are available for in-gel digestion, which inspired us to review in-gel digestion approaches.

Protein identification by syringe pump-driven reversed-phase LC-MS/MS

In typical mass spectrometry-based protein identification using peptide fragmentation fingerprinting, front-end separation plays a critical role in successful peptide sequencing. This separation step demands a great deal of time and usually is the rate-limiting step for the whole process. Here we provide an alternative separation method, based on a simple nanoflow delivery system, that is able to shorten the separation time considerably. This system consists of a 25-mul syringe connected to a manually packed reversed-phase mini-capillary column that can be directly coupled to an electrospray ionization tandem mass spectrometer. A syringe pump is then used to deliver the peptide mixtures at a nanoscale flow rate. We examined the efficiency and efficacy of this method by analyzing the tryptic peptides of bovine serum albumin and of 10 Escherichia coli proteins separated by two-dimensional gel electrophoresis (2DE). The results showed that identification of each protein could be achieved successfully within 25 min by using the disposable mini-capillary column. Moreover, all 2DE-separated E. coli proteins were identified at high confidence levels. Together, our data suggest that this method is a suitable option for mass spectrometry-based protein identification.

Differential display and protein quantification

High-throughput quantitation of proteins is of essential importance for all systems biology approaches and provides complementary information on steady-state gene expression and perturbation-induced systems responses. This information is necessary because it is, e.g., difficult to predict protein concentrations from the level of mRNAs, since regulatory processes at the posttranscriptional level adjust protein concentrations to prevailing conditions. Despite its importance, quantitative proteomics is still a challenging task because of the high dynamic range of protein concentrations in the cell and the variation in the physical properties of proteins. In this chapter we review the current status of, and options for, protein quantification in high-throughput experiments and discuss the suitability and limitations of different existing methods.

A proteomic primer for the clinician

Proteomics is a rapidly developing field and it opens new horizons in many research areas of life sciences. In the field of medicine, proteomics promises to accelerate the discovery of new drug targets and protein disease markers useful for in vitro diagnosis. In this article, we review the current proteomics technologies for biomarker discovery and validation, which include two-dimensional gel electrophoresis, one- and two-dimensional liquid chromatography, and proteomic microarrays. We will also review proteomic strategies for protein-protein interactions and identification of post-translational modifications. Selection of the more effective technology or combination of technologies is required to maximize the interpretation and utility of the data.

Evaluation of sample fractionation using micro-scale liquid-phase isoelectric focusing on mass spectrometric identification and quantitation of proteins in a SILAC experiment

Mass spectrometric methods based on stable isotopes have shown great promise for identification and quantitation of complex mixtures. Stable isotope labelling by amino acids in cell culture (SILAC) is a straightforward and accurate procedure for quantitation of proteins from cell lines, that are cultured in media containing the natural amino acid or its isotopically labelled analogue, giving rise to either 'light' or 'heavy' proteins. The two cell populations are pooled and treated as a single sample, which allows the use of various protein purification methods without introducing errors into the quantitative analysis. The quantitation of the proteins is based on the intensities of the light and heavy peptides. The increased number of peptides in a quantitative experiment arising from peptide pairs implies that prefractionation is critical prior to liquid chromatography/mass spectrometric (LC/MS) analysis to minimise signal suppression effects and errors in measurements of the intensity ratios. In this study, the effect of a prefractionation step on identification and quantitation of proteins in a SILAC experiment was evaluated. We show that micro-scale liquid-phase isoelectric focusing in the Micro Rotofor separates proteins into well-defined fractions and reduces the sample complexity. Furthermore, the fractionation enhanced the number of identified proteins and improved their quantitation.

Protein pattern difference in the colon cancer cell lines examined by two-dimensional differential in-gel electrophoresis and mass spectrometry

PURPOSE

The pivotal metastatic processes of colorectal cancer (CRC) have yet to be fully investigated by a comprehensive all-inclusive protein analysis. We used two-dimensional differential in-gel electrophoresis (2D-DIGE) and liquid chromatography-tandem mass spectrometry (LC/MS/MS) to investigate the protein pattern changes during the metastasis of CRC. Two CRC cell lines were investigated: SW480 derived from the primary lesion and SW620 derived from lymph node metastasis in the same patient.

METHODS

The two cell lines were compared using 2D-DIGE with a maleimide CyDye fluorescent protein labeling technique, which has an enhanced sensitivity for many proteins at a low concentration. A comprehensive proteomics analysis was performed by the dual-labeling method using Cy3 and Cy5 and by LC/MS/MS. In addition, an in vivo experiment of metastasis using nude mice was performed by the injection of the two cell lines into the spleen.

RESULTS

Among approximately 1,500 proteins, we detected 9 protein spots with definitively significant changes between the two cell lines. Three out of the nine proteins were validated by a Western blot analysis. Alpha-enolase and triosephosphate isomerase were significantly upregulated in SW620 in comparison to SW480. Annexin A2 (annexin II) was significantly downregulated in SW620 compared to SW480. Neither liver metastasis nor peritoneal dissemination was established in the metastatic experiment using SW480 but some liver and peritoneal metastases occurred in the experiment using SW620. An in vivo metastatic experiment using SW620 showed the expressions of alpha-enolase and triosephosphate isomerase to increase in the liver metastases in comparison to those in the splenic implanted lesion. The expressions of triosephosphate isomerase increased in the peritoneal lesions in comparison to those in the splenic implanted lesion.

CONCLUSIONS

2D-DIGE and LC/MS/MS techniques identified nine proteins that increased significantly more in SW620 than in SW480. The finding of our in vivo metastatic experiment suggests that alpha-enolase and triosephosphate isomerase, at least in part, may be associated with the metastatic process of these two cell lines.

Functional and quantitative proteomics using SILAC

Researchers in many biological areas now routinely characterize proteins by mass spectrometry. Among the many formats for quantitative proteomics, stable-isotope labelling by amino acids in cell culture (SILAC) has emerged as a simple and powerful one. SILAC removes false positives in protein-interaction studies, reveals large-scale kinetics of proteomes and - as a quantitative phosphoproteomics technology - directly uncovers important points in the signalling pathways that control cellular decisions.

Applications and current challenges of proteomic approaches, focusing on two-dimensional electrophoresis

Since the formulation of the concept of "proteomics" in 1995, a plethora of proteomic technologies have been developed in order to study proteomes of tissues, cells and organelles. The powerful new technologies enabled by proteomic approaches have lead to the application of these methods to an exponentially increasing variety of biological questions for highly complex protein mixtures. Continuous technical optimization allows for an ever-increasing sensitivity of proteomic techniques. In this review, a brief overview of currently available proteomic techniques and their applications is given, followed by a more detailed description of advantages and technical challenges of two-dimensional electrophoresis (2-DE). Some solutions to circumvent currently encountered technical difficulties for 2-DE analyses are proposed.

Proteomics in diagnostic neuropathology

In the "postgenome" era, attention has turned to the proteome as a source of complementary diagnostic and prognostic information. Recent advances in imaging mass spectrometry (IMS) uses matrix-assisted laser desorption ionization-mass spectrometry (MALDI-MS) to acquire up to 1,000 individual protein signals within the molecular weight range of 2,000 to over 100,000 in specific areas of tissue sections. The systematic investigation of these sections permits creation of specific molecular weight images (ion density maps) for each signal detected. Analysis of these images can reveal a collection of unique protein changes, or a "protein signature", of diagnostic and prognostic value. These signatures may also afford assessment of disease progression and tissue response to treatments. Combined with histology and molecular genetic analyses, new proteomic techniques should refine subclassifications and provide defining information about the pathogenesis of many central and peripheral nervous system diseases.

Genomics and proteomics: emerging technologies in clinical cancer research

Fueled by the complete genomic data acquired from the human genome project and the desperate clinical need of comprehensive analytical tools to study a heterogeneous disease like cancer, genomic and proteomic technologies have evolved rapidly, accelerating the rate and number of discoveries in clinical cancer research. These discoveries include mechanistic understanding of cancer biology as well as the identification of biomarkers supporting early detection, molecular classification of tumors, molecular predictors of metastasis, treatment response, and prognosis. While the technical advances have been significant, clinical researchers and practicing physicians are now confronted with the challenges of understanding technically and statistically complex data sets, translating this complex information to fit clinical contexts and incorporating it into clinical studies. In this review, we will summarize the available technologies and associated bioinformatics, discuss studies that are clinically relevant, and discuss the limitations we are still facing. We will present a framework for future directions of these technologies and how we believe they should be applied in clinical studies.

Comprehensive two-dimensional separation in coupling of reversed-phase chromatography with capillary isoelectric focusing followed by MALDI-MS identification using on-target digestion for intact protein analysis

A coupling of capillary RP LC as the first dimension with CIEF as the second dimension followed by MALDI-MS identification was demonstrated. Based on 2-D separation system developed by our group (Electrophoresis 2003, 24, 3289-3295), this paper focused on incorporating tryptic digestion into the top-down proteomics methodology, retaining the benefits of the top-down method. Hydrophobic layer of packing-material C18 coated with SE-30 on the MALDI-target surface was used to permit the CIEF fractions to be easily concentrated and free of ampholytes using on-target washing. Following the removal of ampholytes, on-target tryptic digestion was performed to generate PMF for protein identification. Using the proteome analytical strategy, we could obtain not only intact protein pI value but also PMF for accurate protein identification. The feasibility of the strategy was first tested with a mixture of model proteins with different pIs and molecular masses. Proteome of rat liver tissue extracts was further analyzed using the system for verification. The results have shown that the system is effective for complex proteomic analysis.

Liquid chromatography with tandem mass spectrometry-based proteomic discovery in aging and Alzheimer's disease

Systems biology offers enormous potential to understand the complexity of human brain aging and neurodegenerative diseases. Proteomics has an important role in these investigations because of its unique strengths and because of the potential central pathogenic contribution of pathological protein to several of these diseases. Here we have reviewed the methods and presented some examples of liquid chromatography-electrospray ionization-tandem mass spectrometry-based proteomics, with and without quantification using isotope-coded affinity tags, in the investigation of aging and Alzheimer's disease. As protocols and methods for improved quantitative high-throughput proteomics constantly improve, this approach will likely continue to provide deeper insight into human brain aging and neurodegenerative diseases.

Proteomic analysis of the mouse brain following protein enrichment by preparative electrophoresis

Proteomics is a powerful technology to study the identity and levels of brain proteins. Changes of protein levels as well as modifications that occur in neurological disorders may be informative for the pathogenesis of these disorders and could result in the identification of potential drug targets and disease markers. To increase the capability of characterizing complex protein profiles, protein mixtures should be separated into simpler fractions, thus increasing the likelihood of detecting low-abundance proteins. Considering that low-abundance proteins are thought to be involved in important biological processes, identification of those low-copy-number gene products appears to be a scientific challenge. In the present study, proteomic analysis of adult mouse brain tissue was performed following enrichment by preparative electrophoresis. This was performed using the PrepCell apparatus in the presence of 0.1% lithium dodecyl sulfate. Samples were electrophoresed in a cylindrical polyacrylamide gel and the proteins of the fractions collected were first analyzed by 1-D and then by 2-DE. Protein identification was performed by MALDI-TOF-MS. The present analysis resulted in the identification of 360 different gene products. Among those were transport proteins, transcription activators, signal transduction molecules as well as proteins with a number of other functions. Preparative electrophoresis is an efficient method for the enrichment of proteins of low molecular mass and may be useful in the investigation of disorders of the central nervous system.

Neuroproteomics in neurotrauma

Neurotrauma in the form of traumatic brain injury (TBI) afflicts more Americans annually than Alzheimer's and Parkinson's disease combined, yet few researchers have used neuroproteomics to investigate the underlying complex molecular events that exacerbate TBI. Discussed in this review is the methodology needed to explore the neurotrauma proteome-from the types of samples used to the mass spectrometry identification and quantification techniques available. This neuroproteomics survey presents a framework for large-scale protein research in neurotrauma, as applied for immediate TBI biomarker discovery and the far-reaching systems biology understanding of how the brain responds to trauma. Ultimately, knowledge attained through neuroproteomics could lead to clinical diagnostics and therapeutics to lessen the burden of neurotrauma on society.

Genetics, transcriptomics, and proteomics of Alzheimer's disease

OBJECTIVE

To provide an updated overview of the methods used in genetic, transcriptomic, and proteomic studies in Alzheimer's disease and to demonstrate the importance of those methods for the improvement of the current diagnostic and therapeutic possibilities.

DATA SOURCES

MEDLINE-based search of 233 peer-reviewed articles published between 1975 and 2006.

DATA SYNTHESIS

Alzheimer's disease is a genetically heterogeneous disorder. Rare mutations in the amyloid precursor protein, presenilin 1, and presenilin 2 genes have shown the importance of the amyloid metabolism for its development. In addition, converging evidence from population-based genetic studies, gene expression studies, and protein profile studies in the brain and in the cerebrospinal fluid suggest the existence of several pathogenetic pathways such as amyloid precursor protein processing, beta-amyloid degradation, tau phosphorylation, proteolysis, protein misfolding, neuroinflammation, oxidative stress, and lipid metabolism.

CONCLUSIONS

The development of high-throughput genotyping methods and of elaborated statistical analyses will contribute to the identification of genetic risk profiles related to the development and course of this devastating disease. The integration of knowledge derived from genetic, transcriptomic, and proteomic studies will greatly advance our understanding of the causes of Alzheimer's disease, improve our capability of establishing an early diagnosis, help define disease subgroups, and ultimately help to pave the road toward improved and tailored treatments.

Proteomics-driven progress in neurodegeneration research

Proteomics technologies have been widely used in the investigation of neurodegenerative and psychiatric disorders, and in particular in the detection of differences between healthy individuals and patients suffering from such diseases. Thus, brain and cerebrospinal fluid (CSF) samples from patients with Alzheimer's disease, Down syndrome, Pick's disease, Parkinson's disease, schizophrenia, and other disorders as well as brain and CSF from animals serving as models of neurological disorders have been analyzed by proteomics. 2-DE followed by MALDI-TOF-MS has been mainly applied as this proteomics approach provides the possibility of convenient quantification of protein levels and detection of post-translational modifications. About 330 unique proteins with deranged levels and modifications have been detected by proteomics approaches to be related to neurodegeneration and psychiatric disorders. They are mainly involved in metabolism pathways, cytoskeleton formation, signal transduction, guidance, detoxification, transport, and conformational changes. In this article, we provide a summary of the major contributions of proteomics technologies in the study of neurodegenerative and psychiatric diseases, in particular, in the detection of changes in protein levels and modifications related to these disorders.

Interfacing capillary gel microfluidic chips with infrared laser desorption mass spectrometry

We report on the fabrication and performance of a gel microfluidic chip interfaced to laser desorption/ionization (LDI) mass spectrometry with a time-of-flight mass analyzer. The chip was fabricated from poly(methylmethacrylate) with a poly(dimethyl siloxane) cover. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis was performed in the channel of the microfluidic chip. After electrophoresis, the cover was removed and either the PDMS chip or the PMMA cover was mounted in a modified MALDI ion source for analysis. Ions were formed by irradiating the channel with 2.95 microm radiation from a pulsed optical parametric oscillator (OPO), which is coincident with IR absorption by N-H and O-H stretch of the gel components. No matrix was added. The microfluidic chip design allowed a decrease in the volume of material required for analysis over conventional gel slabs, thus enabling improvement in the detection limit to a pmol level, a three orders of magnitude improvement over previous studies in which desorption was achieved from an excised section of a conventional gel.

Identification of isoenzymes using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

The identification of isoforms is one of the great challenges in proteomics due to the large number of identical amino acids preventing their separations by two-dimensional electrophoresis. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS) has become a rapid and sensitive tool in proteomics, notably with the new instrumental improvements. In this study, we used several acquisition modes of MALDI-TOFMS to identify isoforms of porcine glutathiones S-transferase. The use of multiple proteases coupled to the different acquisition modes of MALDI-TOFMS (linear, reflectron, post-source decay (PSD) and in-source decay, positive and negative modes) allowed the identification of two sequences. Moreover, a third sequence is pointed out from a PSD study of a tryptic ion revealing the modification of the amino acid tyrosine 146 to phenylalanine.

Effective quenching of fragment formation in negative ion oligonucleotide matrix-assisted laser desorption/ionization mass spectrometry through sodium adduct formation

Metastable decay of the sodium-free and the sodium adducts of the negatively charged hexameric nucleotides 5'-d(TTXYTT)-3' (X and Y are dC, dG or dA) in matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-ToF-MS) is reported. We show that the sodium adduct formation may be used to quantitatively quench dissociation channels in oligonucleotide MALDI-MS, and we argue, that by means of effective steps in the sample preparation that lead to per-sodiation of the sample, the sample preparation and the mass resolution of oligonucleotide mass spectra in MALDI may be improved substantially. The dependency of the fragment formation on the degree of sodiation is also discussed in context with the underlying fragmentation mechanisms.

An algorithmic framework for genome-wide modeling and analysis of translation networks

The sequencing of genomes of several organisms and advances in high throughput technologies for transcriptome and proteome analysis has allowed detailed mechanistic studies of transcription and translation using mathematical frameworks that allow integration of both sequence-specific and kinetic properties of these fundamental cellular processes. To understand how perturbations in mRNA levels affect the synthesis of individual proteins within a large protein synthesis network, we consider here a genome-scale codon-wide model of the translation machinery with explicit description of the processes of initiation, elongation, and termination. The mechanistic codon-wide description of the translation process and the large number of mRNAs competing for resources, such as ribosomes, requires the use of novel efficient algorithmic approaches. We have developed such an efficient algorithmic framework for genome-scale models of protein synthesis. The mathematical and computational framework was applied to the analysis of the sensitivity of a translation network to perturbation in the rate constants and in the mRNA levels in the system. Our studies suggest that the highest specific protein synthesis rate (protein synthesis rate per mRNA molecule) is achieved when translation is elongation-limited. We find that the mRNA species with the highest number of actively translating ribosomes exerts maximum control on the synthesis of every protein, and the response of protein synthesis rates to mRNA expression variation is a function of the strength of initiation of translation at different mRNA species. Such quantitative understanding of the sensitivity of protein synthesis to the variation of mRNA expression can provide insights into cellular robustness mechanisms and guide the design of protein production systems.

Methods for monitoring oxidative stress response in yeasts

Changes in the chemical or physical conditions of the cell that impose a negative effect on growth demand rapid cellular responses, which are essential for survival. Molecular mechanisms induced upon exposure of cells to such adverse conditions are commonly designated as stress responses. Herein, different methods which can be used to monitor oxidative stress response in yeasts are presented including monitoring of oxygen partial pressure during yeast cultivation, cell viability determination, measuring activity of enzymatic and level of nonenzymatic primary antioxidant defense systems, and examination of transcriptome and proteome changes. Additionally, some studies are given as examples of particular method's application for studying oxidative stress response in yeasts.

Limitations of current proteomics technologies

Application of proteomics technologies in the investigation of biological systems creates new possibilities in the elucidation of biopathomechanisms and the discovery of novel drug targets and early disease markers. A proteomic analysis involves protein separation and protein identification as well as characterization of the post-translational modifications. Proteomics has been applied in the investigation of various disorders, like neurological diseases, and the application has resulted in the detection of a large number of differences in the levels and the modifications of proteins between healthy and diseased states. However, the current proteomics technologies are still under development and show certain limitations. In this article, we discuss the major drawbacks and pitfalls of proteomics we have observed in our laboratory and in particular during the application of proteomics technologies in the investigation of the brain.

Characterization of an alternate form of Newcastle disease virus fusion protein

The sequence and structure of the Newcastle disease virus (NDV) fusion (F) protein are consistent with its classification as a type 1 glycoprotein. We have previously reported, however, that F protein can be detected in at least two topological forms with respect to membranes in both a cell-free protein synthesizing system containing membranes and infected COS-7 cells (J. Virol. 77:1951-1963, 2003). One form is the classical type 1 glycoprotein, while the other is a polytopic form in which approximately 200 amino acids of the amino-terminal end as well as the cytoplasmic domain (CT) are translocated across membranes. Furthermore, we detected CT sequences on surfaces of F protein-expressing cells, and antibodies specific for these sequences inhibited red blood cell fusion to hemagglutinin-neuraminidase and F protein-expressing cells, suggesting a role for surface-expressed CT sequences in cell-cell fusion. Extending these findings, we have found that the alternate form of the F protein can also be detected in infected and transfected avian cells, the natural host cells of NDV. Furthermore, the alternate form of the F protein was also found in virions released from both infected COS-7 cells and avian cells by Western analysis. Mass spectrometry confirmed its presence in virions released from avian cells. Two different polyclonal antibodies raised against sequences of the CT domain of the F protein slowed plaque formation in both avian and COS-7 cells. Antibody specific for the CT domain also inhibited single-cycle infections, as detected by immunofluorescence of viral proteins in infected cells. The potential roles of this alternate form of the NDV F protein in infection are discussed.

Proteomic analysis of a eukaryotic cilium

Cilia and flagella are widespread cell organelles that have been highly conserved throughout evolution and play important roles in motility, sensory perception, and the life cycles of eukaryotes ranging from protists to humans. Despite the ubiquity and importance of these organelles, their composition is not well known. Here we use mass spectrometry to identify proteins in purified flagella from the green alga Chlamydomonas reinhardtii. 360 proteins were identified with high confidence, and 292 more with moderate confidence. 97 out of 101 previously known flagellar proteins were found, indicating that this is a very complete dataset. The flagellar proteome is rich in motor and signal transduction components, and contains numerous proteins with homologues associated with diseases such as cystic kidney disease, male sterility, and hydrocephalus in humans and model vertebrates. The flagellum also contains many proteins that are conserved in humans but have not been previously characterized in any organism. The results indicate that flagella are far more complex than previously estimated.

Precision and variance components in quantitative gel electrophoresis

The error in quantitative gel electrophoresis/Western blotting was investigated considering the purity testing of erythropoietin. The overall error was over 35% relative standard deviation. However, an analysis of variance elucidated that the interoperator variability was the dominant error source, which already explained almost 80% of the total variance. Careful compilation and investigation of the possible error sources strongly indicates that the immunoreaction after blotting and the subsequent color reaction are the major error sources in this case.

Interactions between sodium dodecyl sulfate micelles and peptides during matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) of proteolytic digests

Although sodium dodecyl sulfate (SDS) is routinely used as a denaturing agent for proteins, its presence is highly detrimental on the analysis of peptides and proteins by mass spectrometry. It has been found, however, that when SDS is present in concentrations near to or above its critical micelle concentration (CMC), improvements in the matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) analysis of peptide mixtures or hydrophobic proteins are obtained. To elucidate possible explanations for such improvements, here we have undertaken a study examining the effect of SDS micelles on peptide mixtures. Fluorescently labeled peptides were used as probes to determine whether hydrophobic or hydrophilic peptides interact exclusively with SDS micelles. In addition, four globular proteins were digested with trypsin and then various amounts of SDS were added before MALDI mass spectrometry. To examine the role of mixture complexity on the mass spectral results, the tryptic digest of bovine serum albumin was also fractionated according to hydrophobicity before SDS treatment. Results from these experiments suggest that micelle-peptide interactions increase peptide-matrix cocrystallization irrespective of analyte hydrophobicity. As these studies were performed using the dried-droplet method of sample spotting, the presence of micelles is also hypothesized to reduce Marangoni effects during the crystallization process.

Bacterial proteomics and its role in antibacterial drug discovery

Gene-expression profiling technologies in general, and proteomic technologies in particular have proven extremely useful to study the physiological response of bacterial cells to various environmental stress conditions. Complex protein toolkits coordinated by sophisticated regulatory networks have evolved to accommodate bacterial survival under ever-present stress conditions such as varying temperatures, nutrient availability, or antibiotics produced by other microorganisms that compete for habitat. In the last decades, application of man-made antibacterial agents resulted in additional bacterial exposure to antibiotic stress. Whereas the targeted use of antibiotics has remarkably reduced human suffering from infectious diseases, the ever-increasing emergence of bacteria that are resistant to antibiotics has led to an urgent need for novel antibiotic strategies. The intent of this review is to present an overview of the major achievements of proteomic approaches to study adaptation networks that are crucial for bacterial survival with a special emphasis on the stress induced by antibiotic treatment. A further focus will be the review of the, so far few, published efforts to exploit the knowledge derived from bacterial proteomic studies directly for the antibacterial drug-discovery process.

Proteome analysis of early somatic embryogenesis in Picea glauca

Forestry is a valuable natural resource for many countries. Rapid production of large quantities of genetically improved and uniform seedlings for restocking harvested lands is a key component of sustainable forest management programs. Clonal propagation through somatic embryogenesis has the potential to meet this need in conifers and can offer the added benefit of ensuring consistent seedling quality. Although in commercial use, mass production of conifers through somatic embryogenesis is relatively new and there are numerous biological unknowns regarding this complex developmental pathway. To aid in unravelling the embryo developmental process, two-dimensional electrophoresis was employed to quantitatively assess the expression levels of proteins across four stages of somatic embryo maturation in white spruce (0, 7, 21 and 35 days post abscisic acid treatment). Forty-eight differentially expressed proteins have been identified, which display a significant change in abundance as early as day 7 of embryo development. These proteins are involved in a variety of cellular processes, many of which have not previously been associated with embryo development. The identification of these proteins was greatly assisted by the availability of a substantial expressed sequence tag (EST) resource developed for white, sitka and interior spruce. The combined use of these spruce ESTs in conjunction with GenBank accessions for other plants improved the rate of protein identification from 38% to 62% when compared with GenBank alone using automated, high-throughput techniques. This underscores the utility of EST resources in a proteomic study of any species for which a genome sequence is unavailable.

Proteomic approaches in the search for disease biomarkers

Significant technological advances in protein chemistry, physics and computer sciences in the last two decades have greatly improved protein separation methodologies, such as electrophoresis and chromatography, and have established mass spectrometry (MS) as an indispensable tool for protein study. The goal of this review is to provide a brief overview of the recent improvements in these methodologies and present examples from their application in proteome analysis and search for disease biomarkers.

Comparative proteomic analysis of peripheral blood eosinophils from healthy donors and atopic dermatitis patients with eosinophilia

Atopic dermatitis (AD) is an allergic disease that has recently shown a dramatic increase of incidence in developed countries. Eosinophilia, the accumulation of eosinophils, occurs in AD patients through an anti-apoptotic mechanism. To understand the target proteins involved in the anti-apoptotic signaling of eosinophilia, we used a proteomic approach to analyze eosinophil proteins from AD patients with eosinophilia and healthy donors. Protein spots in two-dimensional electrophoresis (2-DE) gels were identified with peptide mass fingerprinting (PMF) based on matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) and database searching. More spots were observed in the 2-DE proteome map from AD patient samples (1310 +/- 58 spots) than in those from healthy donors (1121 +/- 40 spots). We identified 51 proteins affected by eosinophilia: 19 related to signaling, 8 involved in regulation of metabolism, 4 related to apoptosis, and 3 involved in inflammation. The other identified proteins were associated with transcription, RNA processing, translation, the cytoskeleton, and unknown functions. Among the identified proteins, we observed prominent increases in the expressions of cyclinA2, voltage-dependent anion channel protein 2, and 38 kDa FK506 binding protein 8 in eosinophils from AD patients in comparison to healthy donors. PMF and immunoblotting of a single spot that was expressed in eosinophils from healthy individuals but not in AD patients identified the protein as phosphorylated growth receptor binding 7 (Grb7) adaptor protein. Increased phosphorylation of Grb7 and its upstream signaling protein, focal adhesion kinase (FAK), was detected in low viability eosinophils such as those from healthy donors or in cultured eosinophils (AML14.3D10 cells) treated with dexamethasone. These results suggest that phosphorylation of Grb7 and the expressions of cyclinA2, voltage-dependent anion channel protein 2, and 38 kDa FK506 binding protein 8 may be related with the anti-apoptosis mechanism of eosinophilia.

Silicone/graphite coating for on-target desalting and improved peptide mapping performance of matrix-assisted laser desorption/ionization-mass spectrometry targets in proteomic experiments

In two-dimensional gel electrophoresis-based proteomic experiments matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS) peptide mass fingerprinting is often the technique of choice in identifying proteins. Here, we present a novel surface coating technique for MALDI-MS targets that improves manual and automatic sample analysis. A mixture of silicone and graphite is spread in the form of a thin layer over the target. Due to the hydrophobicity of the coating, aqueous solutions can be applied to relatively small spots very precisely using a robotic system. At least four times more liquid can be concentrated on the same area compared to uncoated steel targets. alpha-cyano-4-hydrocinnamic acid crystallizes in form of very small crystals evenly distributed over the surface. The search for "hot spots" during the analysis is not necessary, which supports the automatic acquisition of data. The homogeneous crystal layer can be very effectively washed on-target without encountering major sample losses. This efficient washing and the focused application of aqueous samples replace expensive and time-consuming reversed phase micro column based sample clean-ups. When analyzing peptide mixtures, the signal intensities are up to five times higher than with preparations of the same un-desalted samples on steel targets, since four times more sample can be loaded. The mass resolution remains unaffected by the surface coating. After usage the coating can be removed, followed by a new coating avoiding any carry-over of sample to the next analysis. All these properties make the precoating of MALDI-MS targets with a silicone/graphite layer an ideal technique for routine analysis in large-scale proteomic experiments.

Algorithm for accurate similarity measurements of peptide mass fingerprints and its application

We present a simple algorithm which allows accurate estimates of the similarity between peptide fingerprint mass spectra from matrix assisted laser desorption/ionization (MALDI) spectrometers. The algorithm, which is a combination of mass correlation and intensity rank correlation, was used to cluster similar spectra and to generate consensus spectra from a data store of more than 100,000 spectra. The resulting first spectra library of 1248 unambiguously identified different protein digests was used to search for missed cleavage patterns that have not been reported so far and to shed light on some peptide ionization characteristics. The findings of this study could be directly implemented in peptide mass fingerprint search algorithms to decrease the false positive error rate to <0.25%. Furthermore, the results contribute to the understanding of the peptide ionization process in MALDI experiments.

Proteomics

Proteomics is the measurement of one or more protein populations or proteomes, preferably in a quantitative manner. A protein population may be the set of proteins found in an organism, in a tissue or biofluid, in a cell, or in a subcellular compartment. A population also may be the set of proteins with a common characteristic, for example, those that interact with each other in molecular complexes, those involved in the same process such as signal transduction or cell cycle control, or those that share a common posttranslational modification such as phosphorylation or glycosylation. Proteomics experiments that involve mass spectrometry are divided into five categories: (1) protein identification, (2) protein quantitation or differential analysis, (3) protein-protein interactions, (4) post-translational modifications, and (5) structural proteomics. Each of these proteomics categories is reviewed. Examples are given for quantitative experiments involving two-dimensional gel electrophoresis, and for gel-free analysis using isotope-coded affinity tags. The impact of proteomics on biological research and on drug development is discussed. Challenges for further development in proteomics are presented, including sample preparation, sensitivity, dynamic range, and automation.

Characterization of N-terminal processing of group VIA phospholipase A2 and of potential cleavage sites of amyloid precursor protein constructs by automated identification of signature peptides in LC/MS/MS analyses of proteolytic digests

Dysregulation of proteolytic processing of the amyloid precursor protein (APP) contributes to the pathogenesis of Alzheimer's Disease, and the Group VIA phospholipase A(2) (iPLA(2)beta) is the dominant PLA(2) enzyme in the central nervous system and is subject to regulatory proteolytic processing. We have identified novel N-terminal variants of iPLA(2)beta and previously unrecognized proteolysis sites in APP constructs with a C-terminal 6-myc tag by automated identification of signature peptides in LC/MS/MS analyses of proteolytic digests. We have developed a Signature-Discovery (SD) program to characterize protein isoforms by identifying signature peptides that arise from proteolytic processing in vivo. This program analyzes MS/MS data from LC analyses of proteolytic digests of protein mixtures that can include incompletely resolved components in biological samples. This reduces requirements for purification and thereby minimizes artifactual modifications during sample processing. A new algorithm to generate the theoretical signature peptide set and to calculate similarity scores between predicted and observed mass spectra has been tested and optimized with model proteins. The program has been applied to the identification of variants of proteins of biological interest, including APP cleavage products and iPLA(2)beta, and such applications demonstrate the utility of this approach.

Proteomics in diagnostic pathology: profiling and imaging proteins directly in tissue sections

Direct tissue profiling and imaging mass spectrometry (MS) provide a molecular assessment of numerous expressed proteins within a tissue sample. MALDI MS (matrix-assisted laser desorption ionization) analysis of thin tissue sections results in the visualization of 500 to 1000 individual protein signals in the molecular weight range from 2000 to over 200,000. These signals directly correlate with protein distribution within a specific region of the tissue sample. The systematic investigation of the section allows the construction of ion density maps, or specific molecular images, for virtually every signal detected in the analysis. Ultimately, hundreds of images, each at a specific molecular weight, may be obtained. To date, profiling and imaging MS has been applied to multiple diseased tissues, including human non-small cell lung tumors, gliomas, and breast tumors. Interrogation of the resulting complex MS data sets using modern biocomputational tools has resulted in identification of both disease-state and patient-prognosis specific protein patterns. These studies suggest that such proteomic information will become more and more important in assessing disease progression, prognosis, and drug efficacy. Molecular histology has been known for some time and its value clear in the field of pathology. Imaging mass spectrometry brings a new dimension of molecular data, one focusing on the disease phenotype. The present article reviews the state of the art of the technology and its complementarity with traditional histopathological analyses.

The ABC's (and XYZ's) of peptide sequencing

Proteomics is an increasingly powerful and indispensable technology in molecular cell biology. It can be used to identify the components of small protein complexes and large organelles, to determine post-translational modifications and in sophisticated functional screens. The key - but little understood - technology in mass-spectrometry-based proteomics is peptide sequencing, which we describe and review here in an easily accessible format.

Surface-MALDI mass spectrometry in biomaterials research

Matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) has been used for over a decade for the determination of purity and accurate molecular masses of macromolecular analytes, such as proteins, in solution. In the last few years the technique has been adapted to become a new surface analysis method with unique capabilities that complement established biomaterial surface analysis methods such as XPS and ToF-SSIMS. These new MALDI variant methods, which we shall collectively summarize as Surface-MALDI-MS, are capable of desorbing adsorbed macromolecules from biomaterial surfaces and detecting their molecular ions with high mass resolution and at levels much below monolayer coverage. Thus, Surface-MALDI-MS offers unique means of addressing biomaterial surface analysis needs, such as identification of the proteins and lipids that adsorb from multicomponent biological solutions in vitro and in vivo, the study of interactions between biomaterial surfaces and biomolecules, and identification of surface-enriched additives and contaminants. Surface-MALDI-MS is rapid, experimentally convenient, overcomes limitations in mass resolution and sensitivity of established biochemical techniques such as SDS-PAGE, and can in some circumstances be used for the quantitative analysis of adsorbed protein amounts. At this early stage of development, however, limitations exist: in some cases proteins are not detectable, which appears to be related to tight surface binding. This review summarizes ways in which Surface-MALDI-MS methods have been applied to the study of a range of issues in biomaterials surfaces research.

Affinity chromatography techniques based on the immobilisation of peptides exhibiting specific binding activity

Affinity chromatography is one of the powerful techniques in selective purification and isolation of a great number of compounds. New challenges in scientific research, such as high-throughput systems, isolation procedures that allow to obtain a single substance from a complex matrix in high degree of purity, low costs and wide availability, have led to the discovery of new tailor-made synthetic recognition systems. In this review the design, synthesis, purification and characterisation of peptides with recognition properties are discussed. Applications of peptide ligands are described and analytical tools mentioned.

Insights into the relation between mRNA and protein expression patterns: I. Theoretical considerations

Translation is a central cellular process in every organism and understanding translation from the systems (genome-wide) perspective is very important for medical and biochemical engineering applications. Moreover, recent advances in cell-wide monitoring tools for both mRNA and protein levels have necessitated the development of such a model to identify parameters and conditions that influence the mapping between mRNA and protein expression. Experimental studies show a lack of correspondence between mRNA and protein expression profiles. In this study, we describe a mechanistic genome-wide model for translation that provides mapping between changes in mRNA levels and changes in protein levels. We use our model to study the system in detail and identify the key parameters that affect this mapping. Our results show that the correlation between mRNA and protein levels is a function of both the kinetic parameters and concentration of ribosomes at the reference state. In particular, changes in concentration of free and total ribosomes in response to a perturbation; changes in initiation and elongation kinetics due to competition for aminoacyl tRNAs; changes in termination kinetics; average changes in mRNA levels in response to the perturbation; and changes in protein stability are all important determinants of the mapping between mRNA and protein expression.

Efficacy and compatibility with mass spectrometry of methods for elution of proteins from sodium dodecyl sulfate–polyacrylamide gels and polyvinyldifluoride membranes

The resolving power of sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) combined with isoelectric focusing in two-dimensional gel electrophoresis has made it one of the most important techniques for resolving complex mixtures, and it is of great importance for proteome mapping projects. As a result of this, methods for postelectrophoretic protein characterization are of great interest as exemplified by in situ protease digestion combined with mass spectrometry (MS), which is the method of choice for identification of proteins. In this study we have developed and compared methods for recovering intact proteins from polyacrylamide gels and electroblotting membranes to define efficient methods compatible with MS. These methods complement in situ digestion protocols and allow determination of the molecular mass of whole proteins separated by SDS-PAGE. Passive elution of proteins from SDS-PAGE gels was efficient only in the presence of SDS, whereas electroelution was achieved using buffers without SDS. Surface-enhanced laser desorption/ionization MS (SELDI-MS) analysis of proteins eluted in the presence of SDS was possible using ion exchange ProteinChip arrays for concentration of sample and removal of SDS. Comparison of different electroblotting methods verified that the different membranes and buffers were equally efficient for transfer of proteins in the range 20-100 kDa. Elution from polyvinyldifluoride membranes was most efficient using either concentrated solutions of trifluoroacetic acid (TFA) or combinations of 8M urea and 1% Triton X-100, 1% Tween 20, or 40% isopropanol. The same result was obtained using nitrocellulose membranes, except that these were incompatible with organic solvent and TFA. Elution by TFA was compatible with matrix-assisted laser desorption/ionization MS (MALDI-MS) but was complicated by a high degree of trifluoroacetylation of the proteins. Alternatively, elution by 8M urea+1% Triton X-100, 1% Tween 20, or 40% isopropanol was compatible with both SELDI-MS and MALDI-MS. Eluted proteins were identified in MS experiments by intact mass determination, by peptide mapping, and by MS/MS analysis.

Application of proteomics technologies in the investigation of the brain

Approximately 30-50% of the genes in mammals are expressed in the nervous system. A differential expression of genes in distinct patterns is necessary for the generation of the large variety of neuronal phenotypes. Proteomic analysis of brain compartments may be useful to understand the complexity, to investigate disorders of the central nervous system, and to search for corresponding early markers. Up to now, proteomics has mainly studied the identity and levels of the abundant human, rat, and mouse brain proteins as well as changes of their levels and the modifications that result from various neurological disorders, like Alzheimer's disease and Down's syndrome in humans and in animal models of those diseases. The proteins, for which altered levels in these disorders have been observed, exert mainly neurotransmission, guidance, and signal-transduction functions, or are involved in detoxification, metabolism, and conformational changes. Some of those proteins may be potential drug targets. Further improvement of proteomics technologies to increase sensitivity and efficiency of detection of certain protein classes is necessary for a more detailed analysis of the brain proteome. In this review, a description of the proteomics technologies applied in the investigation of the brain, the major findings that resulted from their application, and the potential and limitations of the current technologies are discussed.

Proteomic studies of macrophage-derived foam cell from human U937 cell line using two-dimensional gel electrophoresis and tandem mass spectrometry

SUMMARY

The authors have identified 37 proteins in the whole-cell extracts from human monoblastic leukemia (U937) cell and macrophage-derived foam cell. The in vitro foam cell model was established by incubating the human U937 cells with oxidized low-density lipoprotein. The global changes in protein expressions between U937 foam cell and normal U937 cells were measured with two-dimensional polyacrylamide gel electrophoresis, and some proteins were trypsin-digested and then identified through tandem mass spectrometry after capillary liquid chromatography separation. Some of the identified proteins were validated via Internet links to the U937 proteomic map provided on the Expasy proteomics server. The experimental data can provide potential markers for atherosclerotic studies.

An introduction to mass spectrometry applications in biological research

Mass spectrometry involves the measurement of the mass-to-charge ratio of ions. It has become an essential analytical tool in biological research and can be used to characterize a wide variety of biomolecules such as sugars, proteins, and oligonucleotides. In this review, a brief history of mass spectrometry is discussed, and the basic principles of the technology are introduced. A summary of some current applications is provided, as are examples of recently published research. The current methods used to identify, quantify, and characterize proteins and peptides are then reviewed. The range of applications of mass spectrometry is considerable and only promises to grow as the technology continues to improve.

Investigation of methods suitable for the matrix-assisted laser desorption/ionization mass spectrometric analysis of proteins from ribonucleoprotein complexes

A variety of protein isolation and purification techniques for ribonucleoprotein (RNP) complexes were investigated for their compatibility with downstream analysis by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Ribosomal proteins from Escherichia coli 70S ribosomes were obtained using methods such as phenol extraction and precipitation by organic solvents or acids. Under optimal conditions, more than 90% of the expected ribosomal proteins were detected in a single MALDI-MS experiment. The most effective approach combined ribosome denaturation by buffer exchange with acid precipitation of the ribosomal ribonucleic acids. An improved acid precipitation approach, involving the sequential additions of acetic and trifluoroacetic acid, yielded more complete protein coverage while minimizing loss of ion signal from lower molecular weight proteins. With phenol extraction, substantial gains in ion abundance of higher molecular weight proteins are noted, although some of the lower molecular weight proteins were not efficiently extracted. These results illustrate several effective approaches for protein isolation from protein complexes such as RNPs that are MALDI-MS compatible, and these approaches should extend the use of MALDI-MS for proteomics-based analyses of other protein-nucleic acid complexes.