Application of Mass Spectrometry in Proteomics

Mass spectrometry has arguably become the core technology in proteomics. The application of mass spectrometry based techniques for the qualitative and quantitative analysis of global proteome samples derived from complex mixtures has had a big impact in the understanding of cellular function. Here, we give a brief introduction to principles of mass spectrometry and instrumentation currently used in proteomics experiments. In addition, recent developments in the application of mass spectrometry in proteomics are summarised. Strategies allowing high-throughput identification of proteins from highly complex mixtures include accurate mass measurement of peptides derived from total proteome digests and multidimensional peptide separations coupled with mass spectrometry. Mass spectrometric analysis of intact proteins permits the characterisation of protein isoforms. Recent developments in stable isotope labelling techniques and chemical tagging allow the mass spectrometry based differential display and quantitation of proteins, and newly established affinity procedures enable the targeted characterisation of post-translationally modified proteins. Finally, advances in mass spectrometric imaging allow the gathering of specific information on the local molecular composition, relative abundance and spatial distribution of peptides and proteins in thin tissue sections.     

Functional genomics by mass spectrometry

Systematic analysis of the function of genes can take place at the oligonucleotide or protein level. The latter has the advantage of being closest to function, since it is proteins that perform most of the reactions necessary for the cell. For most protein based ('proteomic') approaches to gene function, mass spectrometry is the method of choice. Mass spectrometry can now identify proteins with very high sensitivity and medium to high throughput. New instrumentation for the analysis of the proteome has been developed including a MALDI hybrid quadrupole time of flight instrument which combines advantages of the mass finger printing and peptide sequencing methods for protein identification. New approaches include the isotopic labeling of proteins to obtain accurate quantitative data by mass spectrometry, methods to analyze peptides derived from crude protein mixtures and approaches to analyze large numbers of intact proteins by mass spectrometry directly. Examples from this laboratory illustrate biological problem solving by modern mass spectrometric techniques. These include the analysis of the structure and function of the nucleolus and the analysis of signaling complexes.     

Proteomics identification of proteins in human cortex using multidimensional separations and MALDI tandem mass spectrometer

It is essential to characterize the proteome of various regions of human brain because most, if not all, neurodegenerative diseases are region-specific. Here we report an in-depth proteomics identification of proteins extracted from the frontal cortex, a region playing a critical role in cognitive function. The integrated proteomics analytical flow consisted of biochemical fractionation, strong cation exchange chromatography, reverse phase liquid chromatography, and MALDI-TOF/TOF mass spectrometric analysis. In total, 812 proteins were confidently identified with two or more peptides. These proteins demonstrated diverse isoelectric points and molecular weights and are involved in several molecular functions, including protein binding, catalytic activity, transport, structure, and signal transduction. A number of proteins known to be associated with neurodegenerative diseases were also identified. Detailed characterization of these proteins will supply the necessary information to appropriately interpret proteins associated with aging and/or age-related neurodegenerative diseases. Finally 140 proteins found in the cortical proteome were present in the proteome of cerebrospinal fluid, providing tissue-specific candidates for biomarker discovery in body fluid.     

Characterizing the normal proteome of human ciliary body

Background

The ciliary body is the circumferential muscular tissue located just behind the iris in the anterior chamber of the eye. It plays a pivotal role in the production of aqueous humor, maintenance of the lens zonules and accommodation by changing the shape of the crystalline lens. The ciliary body is the major target of drugs against glaucoma as its inhibition leads to a drop in intraocular pressure. A molecular study of the ciliary body could provide a better understanding about the pathophysiological processes that occur in glaucoma. Thus far, no large-scale proteomic investigation has been reported for the human ciliary body.

Results

In this study, we have carried out an in-depth LC-MS/MS-based proteomic analysis of normal human ciliary body and have identified 2,815 proteins. We identified a number of proteins that were previously not described in the ciliary body including importin 5 (IPO5), atlastin-2 (ATL2), B-cell receptor associated protein 29 (BCAP29), basigin (BSG), calpain-1 (CAPN1), copine 6 (CPNE6), fibulin 1 (FBLN1) and galectin 1 (LGALS1). We compared the plasma proteome with the ciliary body proteome and found that the large majority of proteins in the ciliary body were also detectable in the plasma while 896 proteins were unique to the ciliary body. We also classified proteins using pathway enrichment analysis and found most of proteins associated with ubiquitin pathway, EIF2 signaling, glycolysis and gluconeogenesis.

Conclusions

More than 95% of the identified proteins have not been previously described in the ciliary body proteome. This is the largest catalogue of proteins reported thus far in the ciliary body that should provide new insights into our understanding of the factors involved in maintaining the secretion of aqueous humor. The identification of these proteins will aid in understanding various eye diseases of the anterior segment such as glaucoma and presbyopia.     

Algorithms and tools for analysis and management of mass spectrometry data

Mass spectrometry (MS) is a technique that is used for biological studies. It consists in associating a spectrum to a biological sample. A spectrum consists of couples of values (intensity, m/z), where intensity measures the abundance of biomolecules (as proteins) with a mass-to-charge ratio (m/z) present in the originating sample. In proteomics experiments, MS spectra are used to identify pattern expressions in clinical samples that may be responsible of diseases. Recently, to improve the identification of peptides/proteins related to patterns, MS/MS process is used, consisting in performing cascade of mass spectrometric analysis on selected peaks. Latter technique has been demonstrated to improve the identification and quantification of proteins/peptide in samples. Nevertheless, MS analysis deals with a huge amount of data, often affected by noises, thus requiring automatic data management systems. Tools have been developed and most of the time furnished with the instruments allowing: (i) spectra analysis and visualization, (ii) pattern recognition, (iii) protein databases querying, (iv) peptides/proteins quantification and identification. Currently most of the tools supporting such phases need to be optimized to improve the protein (and their functionalities) identification processes. In this article we survey on applications supporting spectrometrists and biologists in obtaining information from biological samples, analyzing available software for different phases. We consider different mass spectrometry techniques, and thus different requirements. We focus on tools for (i) data preprocessing, allowing to prepare results obtained from spectrometers to be analyzed; (ii) spectra analysis, representation and mining, aimed to identify common and/or hidden patterns in spectra sets or in classifying data; (iii) databases querying to identify peptides; and (iv) improving and boosting the identification and quantification of selected peaks. We trace some open problems and report on requirements that represent new challenges for bioinformatics.     

Glycomics using mass spectrometry

Mass spectrometry plays an increasingly important role in structural glycomics. This review provides an overview on currently used mass spectrometric approaches such as the characterization of glycans, the analysis of glycopeptides obtained by proteolytic cleavage of proteins and the analysis of glycosphingolipids. The given examples are demonstrating the application of mass spectrometry to study glycosylation changes associated with congenital disorders of glycosylation, lysosomal storage diseases, autoimmune diseases and cancer.     

Mass spectrometry-based analysis of glycoproteins and its clinical applications in cancer biomarker discovery

Glycosylation is one of the most important posttranslational modifications of proteins and plays essential roles in various biological processes. Aberration in the glycan moieties of glycoproteins is associated with many diseases. It is especially critical to develop the rapid and sensitive methods for analysis of aberrant glycoproteins associated with diseases. Mass spectrometry (MS) has become a powerful tool for glycoprotein analysis. Especially, tandem mass spectrometry can provide highly informative fragments for structural identification of glycoproteins. This review provides an overview of the development of MS technologies and their applications in identification of abnormal glycoproteins and glycans in human serum to screen cancer biomarkers in recent years.     

生物质谱技术在蛋白质组学研究中的应用

随着技术的进步,蛋白质组学的研究重心由最初旨在鉴定细胞或组织内基因组所表达的全部蛋白质转移到从整个蛋白质组水平上阐述包括蛋白翻译后修饰、生物大分子相互作用等反映蛋白质功能的层次。多种质谱离子化技术的突破使质谱技术成为蛋白质组学研究必不可少的手段。质谱技术联合蛋白质组学多角度、深层次探索生命系统分子本质成为现阶段生命科学研究领域的主旋律之一。本文简要综述了肽和蛋白质等生物大分子质谱分析的原理、方式和应用,并对其发展前景做出展望。     

Mass spectrometry based approach for identification and characterisation of fluorescent proteins from marine organisms

We present here a new analytical strategy for identification and characterisation of fluorescent proteins from marine organisms. By applying basic proteomics tools it is possible to screen large sample collections for fluorescent proteins of desired characteristics prior to gene cloning. Our methodology which includes isolation, spectral characterisation, stability testing, gel-based separation and mass spectrometric identification was optimised on samples collected during the Danish Galathea 3 expedition. Four corals of the Fungia, Sarcophyton and Acropora species emitting green fluorescence were tested. Each of the fluorescent extracts behaves differently under denaturing conditions but complete fluorescence loss was not observed. Optimised electrophoretic conditions yielded effective separation of active fluorescent proteins in both 1DE and 2DE. Mass spectrometric analysis of the proteins in the fluorescent spots excised directly from unstained 2DE gels provides sequence information that might be sufficient to design degenerate primers for gene cloning. Identified fluorescent proteins are in agreement with the coral species determined by visual examination of the samples. The presented methodology is a viable alternative to direct gene cloning for the discovery of novel fluorescent proteins and will be further validated on other samples collected during the Galathea 3 expedition.     

Two-dimensional mass spectrometric mapping

The identification and relative quantification of proteins in closely related biological samples is the backbone for many investigations in systems biology and for the discovery of biomarkers. While two-dimensional gel-based methodologies are still widely used for comparative proteomic studies, the recent advent of gel-free methodologies may allow the analysis of a larger number of samples in an automated fashion. Most of the technologies presented in this review require a chemical modification of proteins before analysis, and rely on the relative intensities of mass spectrometry signals for protein quantification. In particular, two-dimensional mass spectrometric mapping methodologies provide a visual representation of mass spectrometric data, thus facilitating the identification of differences in relative protein abundance.     

Two-dimensional gel electrophoresis: recent advances in sample preparation, detection and quantitation

A strength of two-dimensional polyacrylamide gel electrophoresis (2D PAGE) is its ability to resolve and investigate the abundance of several thousand proteins in a single sample. This enables identification of the major proteins in a tissue or subcellular fraction by mass spectrometric methods. In addition, 2D PAGE can be used to compare quantities of proteins in related samples, such as those from altered environments or from mutant and wild type, thus allowing the response of classes of proteins to be determined. Those proteins showing a correlated difference in expression may participate in related processes, and this subsequently helps to define protein function. Although there are many limitations of the 2D gel technology that mean it will never be comprehensive in protein coverage, its use for the identification of relatively abundant proteins is now widespread. However, there are still surprisingly few examples of quantitative analysis of changes in protein abundance. In this review we highlight recent advances towards true quantitative analysis of 2D gels that will lead to better prediction of protein function. Despite the development of promising alternatives, 2D PAGE is likely to remain in extensive use for the foreseeable future, because the technology is now simple and readily available to many laboratories.     

The identification of protein-protein interactions of the nuclear pore complex of Saccharomyces cerevisiae using high throughput matrix-assisted laser desorption ionization time-of-flight tandem mass spectrometry

Mass spectrometry has become the technology of choice for detailed identification of proteins in complex mixtures. Although electrophoretic separation, proteolytic digestion, mass spectrometric analysis of unseparated digests, and database searching have become standard methods in widespread use, peptide sequence information obtained by collision-induced dissociation and tandem mass spectrometry is required to establish the most comprehensive and reliable results. Most tandem mass spectrometers in current use employ electrospray ionization. In this work a novel tandem mass spectrometer employing matrix-assisted laser desorption ionization-time-of-flight/time-of-flight operating at 200 Hz has been used to identify proteins interacting with known nucleoporins in the nuclear pore complex of Saccharomyces cerevisiae. Proteins interacting with recombinant proteins as bait were purified from yeast extracts and then separated by one-dimensional SDS-PAGE. Although peptide mass fingerprinting is sometimes sufficient to identify proteins, this study shows the importance of employing tandem mass spectrometry for identifying proteins in mixtures or as covalently modified forms. The rules for incorporating these features into MS-Tag are presented. In addition to providing an evaluation of the sensitivity and overall quality of collision-induced dissociation spectra obtained, standard conditions for ionization and fragmentation have been selected that would allow automatic data collection and analysis, without the need to adjust parameters in a sample-specific fashion. Other considerations essential for successful high throughput protein analysis are discussed.     

Application of mass spectrometry for identification and structural studies of flavonoid glycosides

Mass spectrometry is an important tool for the identification and structural determination of flavonoid glycosides. The advantages of mass spectrometry are high sensitivity and possibilities of hyphenation with liquid chromatographic methods for the analysis of mixtures of compounds. Different desorption ionization methods allow the analysis of underivatized glycosides. A review of mass spectrometric techniques applied to the identification and structural studies of flavonoid glycosides is presented.     

A chick retinal proteome database and differential retinal protein expressions during early ocular development

Proteomics approach as a research tool has gained popularity in a growing number of basic and clinical researches. However, proteomic research has yet to gain significant momentum in eye research. Hence, we decided to build a retinal proteome database using postnatal retinal tissue from chick, a commonly used animal model in eye research. Employing 2-D gels with the coverage of 3-10 pH gradients, we were able to resolve hundreds of proteins from young chick retinae. Among them, 155 high abundant proteins were identified by Peptide Mass Fingerprinting (PMF) after the Matrix-Assisted Laser Desorption Ionization-Time-of-Flight Mass Spectrometry (MALDI-TOF MS). These proteins were then classified according to their functions. Making use of the retinal database, we were able to identify several differentially expressed proteins that might be involved in early retinal development by comparing the 2-DE maps of chick retinal tissues (3, 10, and 20 days after hatching). With the current proteomics approach, we not only documented the most abundant soluble proteins in the chick retinal tissue, but also demonstrated the dynamic protein expression changes during early ocular development. This represents one of the first steps in building a complete protein database in chick retinae which is applicable to the study of eye diseases from a few selected protein candidates to the whole proteome. Proteomic technology may provide a high throughput platform for advancing eye research in the feasible future.     

Increased sensitivity of tryptic peptide detection by MALDI-TOF mass spectrometry is achieved by conversion of lysine to homoarginine

Mass spectrometric techniques for identification of proteins by "mass fingerprinting" (matching the masses of tryptic peptides from a protein digest to the theoretical peptides in a database) such as matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) are rapidly growing in popularity as the demand for high throughput analysis of the proteome increases. This is due, in part, to the ability to automate the technique and the rapid rate with which mass spectra may be acquired. An important factor in the accuracy of the technique is the number of tryptic peptides that are identified in the various searching algorithms that exist. The greater sequence coverage of the parent protein that is obtained, the higher the level of confidence in the identification that is determined. One impediment to high levels of sequence coverage is the bias of MALDI-TOF mass spectrometry to arginine-containing peptides. Increasing the sensitivity to lysine-containing peptides should increase the sequence coverage obtained. In order to achieve this result we have developed conditions to modify the epsilon-amine group of lysine in tryptic peptides with O-methylisourea. The conditions utilized result in the conversion of lysine to homoarginine with no modification of the amine terminus of the peptides. The sensitivity of MALDI-TOF mass spectrometry detection of peptides was increased dramatically following modification. The modification chemistry may be applied to tryptic peptide mixtures prior to desalting and spotting onto MALDI-TOF plates. This technique will be particularly useful for identifying proteins with a high lysine/arginine ratio.     

High-throughput characterization of lipopolysaccharide-binding proteins using mass spectrometry

Lipopolysaccharide (LPS)-binding proteins interact with LPS in human serum and mediate various immune responses. We describe a high-throughput LPS-binding protein profiling platform for discovering unknown LPS-binding proteins and potential inflammatory mediators. As a pull-down method, the LPS molecules were immobilized onto epoxy beads and then directly incubated with human serum to screen LPS-binding proteins. Through the "untargeted" mass spectrometric approach, potential LPS-binding proteins which elicit various immune responses in human serum were identified by a highly sensitive LTQ Orbitrap Hybrid Fourier Transform Mass Spectrometer (LTQ Orbitrap FT MS). Therefore, this mass spectrometry (MS)-based profiling method is straightforward for screening unknown LPS-binding proteins and provides physiologically relevant binding partners in human serum.     

Aqueous polymer two-phase systems for the proteomic analysis of plasma membranes from minute brain samples

Comprehensive knowledge about the plasma membrane protein profile of a given brain region, at defined developmental stages, will greatly foster the understanding of brain function and dysfunction. Protocols are required which selectively enrich plasma membranes from small brain regions, thereby resulting in high yields. Here, we present a suitable protocol that is based on aqueous polymer two-phase systems. It is material saving, easy to perform, fast, and low-priced. Evidence for its effectiveness was obtained by marker enzyme assays, immunoblot analyses, and mass spectrometry. Plasma membranes from all parts of the cells (somata, dendrites, and axons) were enriched, whereas there was a reduction of mitochondria and endoplasmic reticulum. The total of 15.0% of the initial activity of the plasma membrane marker was recovered, while the activity of the mitochondrial marker and the marker for the endoplasmic reticulum was 0.2% of the initial activity. Mass spectrometric analyses of proteins purified from approximately one-fourth of rat cerebellum (i.e., 80 mg of tissue) resulted in the identification of 525 different proteins, with 27.3% (gene ontology) or 38.2% (gene cards) being allocated to the plasma membrane. When accepting 4.7% of the initial mitochondrial marker activity and 2.9% of the initial activity of the marker for the endoplasmic reticulum as contaminations, the yield of the plasma membrane marker increased to 28.8%. Under these conditions, 586 different proteins were identified by mass spectrometry, 26.1-36.5% of which were plasma membrane proteins. Taken together, our protocol represents a powerful tool for the analysis of the plasma membrane subproteome of distinct brain regions.     

Development of a novel proteomic approach for mitochondrial proteomics from cardiac tissue from patients with atrial fibrillation

Atrial fibrillation (AF) is the most common cardiac arrhythmia affecting approximately 2.2 million Americans. Because several studies have suggested that changes in mitochondrial function and morphology may contribute to AF, we developed a novel proteomic workflow focused on the identification of differentially expressed mitochondrial proteins in AF patients. Right human atrial tissue was collected from 20 patients, 10 with and 10 without AF, and the tissue was subjected to hydrostatic pressure cycling-based lysis followed by label-free mass spectrometric (MS) analysis of mitochondrial enriched isolates. Approximately 5% of the 700 proteins identified by MS analysis were differentially expressed between the AF and non-AF samples. We chose four differentially abundant proteins for further verification using reverse phase protein microarray analysis based on their known importance in energy production and regulatory association with atrial ion channels: four and a half LIM, destrin, heat shock protein 2, and chaperonin-containing TCP1. These initial study results provide evidence that a workflow to identify AF-related proteins that combines a powerful upfront tissue cell lysis with high resolution MS for discovery and protein array technology for verification may be an effective strategy for discovering candidate markers in highly fibrous tissue samples.     

Characterization of the 70S Ribosome from Rhodopseudomonas palustris using an integrated "top-down" and "bottom-up" mass spectrometric approach

We present a comprehensive mass spectrometric approach that integrates intact protein molecular mass measurement ("top-down") and proteolytic fragment identification ("bottom-up") to characterize the 70S ribosome from Rhodopseudomonas palustris. Forty-two intact protein identifications were obtained by the top-down approach and 53 out of the 54 orthologs to Escherichia coli ribosomal proteins were identified from bottom-up analysis. This integrated approach simplified the assignment of post-translational modifications by increasing the confidence of identifications, distinguishing between isoforms, and identifying the amino acid positions at which particular post-translational modifications occurred. Our combined mass spectrometry data also allowed us to check and validate the gene annotations for three ribosomal proteins predicted to possess extended C-termini. In particular, we identified a highly repetitive C-terminal "alanine tail" on L25. This type of low complexity sequence, common to eukaryotic proteins, has previously not been reported in prokaryotic proteins. To our knowledge, this is the most comprehensive protein complex analysis to date that integrates two MS techniques.     

Neurofascin 186 Is O-Mannosylated within and Outside of the Mucin Domain

Protein O-mannosylation is an important modification in mammals, and deficiencies thereof lead to a variety of severe phenotypes. Although it has already been shown that the amount of O-mannosyl glycans in brain is very high, only very few proteins have been identified as O-mannosylated. Additionally, the functions of the O-mannose-based glycans are still speculative and only investigated for α-dystroglycan. In a previous study a cis-located peptide was identified, which controls O-mannosylation in mammals. A BLAST search on the basis of this peptidic determinant identified other potential O-mannosylated proteins. Among these neurofascin was chosen for further analysis as a recombinant probe (mucin domain) and as an endogenous protein from mouse brain. Mass spectrometric data for both proteins confirmed that neurofascin186 is indeed O-mannosylated. Glycopeptide analysis by liquid chromatography-tandem mass spectrometry allowed for the identification of some of the O-mannosylation sites, which are not restricted to the mucin domain but were found also within N-terminal IgG and Fibronectin domains of the protein.