Mass spectrometric identification of proteins and characterization of their post-translational modifications in proteome analysis

High-throughput DNA sequencing has resulted in increasing input in protein sequence databases. Today more than 20 genomes have been sequenced and many more will be completed in the near future, including the largest of them all, the human genome. Presently, sequence databases contain entries for more than 425.000 protein sequences. However, the cellular functions are determined by the set of proteins expressed in the cell--the proteome. Two-dimensional gel electrophoresis, mass spectrometry and bioinformatics have become important tools in correlating the proteome with the genome. The current dominant strategies for identification of proteins from gels based on peptide mass spectrometric fingerprinting and partial sequencing by mass spectrometry are described. After identification of the proteins the next challenge in proteome analysis is characterization of their post-translational modifications. The general problems associated with characterization of these directly from gel separated proteins are described and the current state of art for the determination of phosphorylation, glycosylation and proteolytic processing is illustrated.     

Tandem mass spectrometry methods for definitive protein identification in proteomics research

Optimized procedures have been developed for the addition of sulfonic acid groups to the N-termini of low-level peptides. These procedures have been applied to peptides produced by tryptic digestion of proteins that have been separated by two-dimensional (2-D) gel electrophoresis. The derivatized peptides were sequenced using matrix-assisted laser desorption/ionization (MALDI) post-source decay (PSD) and electrospray ionization-tandem mass spectrometry methods. Reliable PSD sequencing results have been obtained starting with sub-picomole quantities of protein. We estimate that the current PSD sequencing limit is about 300 fmol of protein in the gel. The PSD mass spectra of the derivatized peptides usually allow much more specific protein sequence database searches than those obtained without derivatization. We also report initial automated electrospray ionization-tandem mass spectrometry sequencing of these novel peptide derivatives. Both types of tandem mass spectra provide predictable fragmentation patterns for arginine-terminated peptides. The spectra are easily interpreted de novo, and they facilitate error-tolerant identification of proteins whose sequences have been entered into databases.     

Proteome analysis of a human heptocellular carcinoma cell line, HCC-M: an update.

Recently, we reported the proteome analysis of a human hepatocellular carcinoma cell line, HCC-M (Electrophoresis 2000, 21, 1787-1813), using two-dimensional gel electrophoresis (2-DE) and matrix assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF-MS). From a total of 408 unique spots excised from the 2-DE gel, 301 spots yielded good MALDI spectra. Out of these, 272 spots had matches returned from the database search leading to the identification of these proteins. Here, we report the results on the identification of the remaining 29 spots using nanoelectrospray ionization-tandem mass spectrometry (nESI-MS/MS). First, "peptide tag sequencing" was performed to obtain partial amino acid sequences of the peptides to search the SWISS-PROTand NCBI nonredundant protein databases. Spots that were still not able to find any matches from the databases were subjected to de novo peptide sequencing. The tryptic peptide sequences were used to search for homologues in the protein and nucleotide databases with the NCBI Basic Local Alignment Search Tool (BLAST), which was essential for the characterization of novel or post-translationally modified proteins. Using this approach, all the 29 spots were unambiguously identified. Among them, phosphotyrosyl phosphatase activator (PTPA), RNA-binding protein regulatory subunit, replication protein A 32 kDa subunit (RP-A) and N-acetylneuraminic acid phosphate synthase were reported to be cancer-related proteins.     

Towards a two-dimensional proteome map of Mycoplasma pneumoniae

A Proteome map of the bacterium Mycoplasma pneumoniae was constructed using two-dimensional (2-D) gel electrophoresis in combination with mass spectrometry (MS). M. pneumoniae is a human pathogen with a known genome sequence of 816 kbp coding for only 688 open reading frames, and is therefore an ideal model system to explore the scope and limits of the current technology. The soluble protein content of this bacterium grown under standard laboratory conditions was separated by 1-D or 2-D gel electrophoresis applying various pH gradients, different acrylamide concentrations and buffer systems. Proteins were identified using liquid chromatography-electrospray ionization ion trap and matrix-assisted laser desorption/ionization-MS. Mass spectrometric protein identification was supported and controlled using N-terminal sequencing and immunological methods. So far, proteins from about 350 spots were characterized with MS by determining the molecular weights and partial sequences of their tryptic peptides. Comparing these experimental data with the DNA sequence-derived predictions it was possible to assign these 350 proteins to 224 genes. The importance of proteomics for genome analysis was shown by the identification of four proteins, not annotated in the original publication. Although the proteome map is still incomplete, it is already a useful reference for comparative analyses of M. pneumoniae cells grown under modified conditions.     

Identification by mass spectrometry of two-dimensional gel electrophoresis-separated proteins extracted from lager brewing yeast

As two-dimensional (2-D) electrophoresis allows the separation of several hundred proteins in a single gel, this technique has become an important tool for proteome studies and for investigating the cellular physiology. In order to take advantage of information provided by the comparison of proteome pictures, the mass spectrometry technique is the way chosen for a rapid and an accurate identification of proteins of interest. Unfortunately, in the case of industrial yeasts, due to the high level of complexity of their genome, the whole DNA sequence is not yet available and all encoded protein sequences are still unknown. Nevertheless, this study presents here 30 lager brewing yeast proteins newly identified with matrix assisted laser desorption/ionization-time of flight (MALDI-TOF), tandem mass spectrometry (MS/MS) and database searching against the protein sequences of Saccharomyces cerevisiae. The identified proteins of the industrial strain correspond to proteins which do not comigrate with known proteins of S. cerevisiae separated on 2-D gels. This study presents an application of the MS technique for the identification of industrial yeast proteins which are only homologous to the corresponding S. cerevisiae proteins.     

Towards a human repertoire of monocytic lysosomal proteins

The lysosomal compartment of human monocytic cells has never been investigated by a proteomic approach. By a combination of one-dimensional (1-D) and two-dimensional (2-D) gel electrophoresis, protein identification by N-terminal sequencing, matrix assisted laser desorption/ionization-mass spectrometry (MALDI-MS) peptide mass fingerprinting and tandem mass spectrometry (MS/MS) peptide sequence analysis, we initiated an exhaustive study of the human lyososomal proteome, which aims at establishing a 2-D reference map of human soluble lyososomal proteins. Human monocytic U937 cells were induced to secrete lysosomal soluble hydrolases by addition of NH4Cl in the culture medium. Since lysosomal soluble proteins are characterized by the presence of mannose-6-phosphate, they were purified on an affinity support bearing mannose-6-phosphate receptor. Analysis of the purified fraction led to the preliminary identification of fifteen proteins, among which twelve are well-known lysosomal hydrolases, one is assumed to be lysosomal on the basis of sequence homology to cysteine proteinases of the papain family, and two (leukocystatin and the human cellular repressor of E1A-stimulated genes) are described here for the first time as mannose-6-phosphate-containing proteins.     

Protein identification methods in proteomics

A combination of high-resolution two-dimensional (2-D) polyacrylamide gel electrophoresis, highly sensitive biological mass spectrometry, and the rapidly growing protein and DNA databases has paved the way for high-throughput proteomics. This review concentrates on protein identification. We first discuss the use of protein electroblotting and Edman sequencing as tools for de novo sequencing and protein identification. In the second part, we highlight matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) as one of the main contemporary analytical methods for linking gel-separated proteins to entries in sequence databases. In this context we describe the two main MALDI-MS-based identification methods: (i) peptide mass fingerprinting, and (ii) post-source decay (PSD) analysis. In the last part, we briefly emphasize the importance of sample preparation for obtaining highly sensitive and high-quality MALDI-MS spectra.     

Proteomics: the move to mixtures.

Proteomics can be defined as the systematic analysis of proteins for their identity, quantity and function. In contrast to a cell's static genome, the proteome is both complex and dynamic. Proteome analysis is most commonly accomplished by the combination of two-dimensional gel electrophoresis (2DE) and mass spectrometry (MS). However, this technique is under scrutiny because of a failure to detect low-abundance proteins from the analysis of whole cell lysates. Alternative approaches integrate a diversity of separation technologies and make use of the tremendous peptide separation and sequencing power provided by MS/MS. When liquid chromatography is combined with tandem mass spectrometry (LC/MS/MS) and applied to the direct analysis of mixtures, many of the limitations of 2DE for proteome analysis can be overcome. This tutorial addresses current approaches to identify and characterize large numbers of proteins and measure dynamic changes in protein expression directly from complex protein mixtures (total cell lysates).     

Proteome investigation of the non-model plant pomegranate (Punica granatum L.)

A gel-free, shotgun proteomics approach was used to characterize pomegranate aril proteome by nanoliquid chromatography–high-resolution tandem mass spectrometry. To identify both high-abundance and low-abundance proteins, we applied two distinct sample preparation protocols, i.e., a classical one widely applied in literature and a second one able to reduce the dynamic range of protein concentration of the sample, based on combinatorial hexapeptide ligand library technology. However, the proteins identified with the latter protocol were only a small minority. Because pomegranate is a non-model plant species, i.e., information of its genome sequence are lacking, only a few protein sequences are included in the most widely known protein sequence databases. To improve both the number of identified proteins and data reliability, identification was performed integrating the results obtained with three distinct plant protein databases, since the majority of proteins could only be attributed by homology with other plant species. Nevertheless, many proteins had assigned only one unique peptide, because of the phylogenetic distance of pomegranate from the main model plants. After manual revision of the identified proteins to eliminate the redundant or ambiguous identifications, a list of 1,488 proteins was obtained, only six of which belonging to pomegranate species. To the author's best knowledge, this is the first work aimed at the proteomic characterization of Punica granatum.     

Protein identification based on matrix assisted laser desorption/ionization-post source decay-mass spectrometry.

Due to its very short analysis time, its high sensitivity and ease of automation, matrix-assisted laser desorption/ionization (MALDI)-peptide mass fingerprinting has become the preferred method for identifying proteins of which the sequences are available in databases. However, many protein samples cannot be unambiguously identified by exclusively using their peptide mass fingerprints (e.g., protein mixtures, heavily posttranslationally modified proteins and small proteins). In these cases, additional sequence information is needed and one of the obvious choices when working with MALDI-mass spectrometry (MS) is to choose for post source decay (PSD) analysis on selected peptides. This can be performed on the same sample which is used for peptide mass fingerprinting. Although in this type of peptide analysis, fragmentation yields are very low and PSD spectra are often very difficult to interpret manually, we here report upon our five years of experience with the use of PSD spectra for protein identification in sequence (protein or expressed sequence tag (EST)) databases. The combination of peptide mass fingerprinting and PSD and analysis described here generally leads to unambiguous protein identification in the amount of material range generally encountered in most proteome studies.     

The proteome of maize leaves: use of gene sequences and expressed sequence tag data for identification of proteins with peptide mass fingerprints.

As a first step in establishing a proteome database for maize, we have embarked on the identification of the leaf proteins resolved on two-dimensional (2-D) gels. We detected nearly 900 spots on the gels with a pH 4-7 gradient and over 200 spots on the gels with a pH 6-11 gradient when the proteins were visualized with colloidal Coomassie blue. Peptide mass fingerprints for 300 protein spots were obtained with matrix assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometer and 149 protein spots were identified using the protein databases. We also searched the pdbEST databases to identify the leaf proteins and verified 66% of the protein spots that had been identified using the protein databases. Sixty-seven additional protein spots were identified from expressed sequence tags (ESTs). Many abundant leaf proteins are present in multiple spots. Functions of over 50% of the abundant leaf proteins are either unknown or hypothetical. Our results show that EST databases in conjunction with peptide mass fingerprints can be used for identifying proteins from organisms with incomplete genome sequence information.     

Proteome analysis of Corynebacterium glutamicum.

By the use of different Corynebacterium glutamicum strains more than 1.4 million tons of amino acids, mainly L-glutamate and L-lysine, are produced per year. A project was started recently to elucidate the complete DNA sequence of this bacterium. In this communication we describe an approach to analyze the C. glutamicum proteome, based on this genetic information, by a combination of two-dimensional (2-D) gel electrophoresis and protein identification via microsequencing or mass spectrometry. We used these techniques to resolve proteins of C. glutamicum with the aim to establish 2-D protein maps as a tool for basic microbiology and for strain improvement. In order to analyze the C. glutamicum proteome, methods were established to fractionate the C. glutamicum proteins according to functional entities, i.e., cytoplasm, membranes, and cell wall. Protein spots of the cytoplasmic and membrane fraction were identified by N-terminal sequencing, immunodetection, matrix assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF-MS) and electrospray ionization-mass spectrometry (ESI-MS). Additionally, a protocol to analyze proteins secreted by C. glutamicum was established. Approximately 40 protein spots were observed on silver-stained 2-D gels, 12 of which were identified.     

Towards the proteome of Mycobacterium tuberculosis

Human tuberculosis is caused by the intracellular pathogen Mycobacterium tuberculosis. Sequencing of the genome of M. tuberculosis strain H37Rv has predicted 3924 open reading frames, and enabled identification of proteins from this bacterium by peptide mass fingerprinting. Extracellular proteins from the culture medium and proteins in cellular extracts were examined by two-dimensional gel electrophoresis using immobilized pH gradient technology. By mass spectrometry and immunodetection, 49 culture filtrate proteins and 118 lysate proteins were identified, 83 of which were novel. To date, 288 proteins have been identified in M. tuberculosis proteome studies, and a list is presented which includes all identified proteins (available at http://www.ssi.dk/publichealth/tbimmun). The information obtained from the M. tuberculosis proteome so far is discussed in relation to the information obtained from the complete genome sequence.     

Protein analysis by mass spectrometry and sequence database searching: tools for cancer research in the post-genomic era

The post-genomic era is characterized by the deposition of sequence information for entire genomes in databases. Currently, besides the protein sequences for known human proteins, there are partial sequences from thousands more human proteins for which no biological function has been assigned. A powerful new tool for the unambiguous identification and characterization of gel-separated proteins is accomplished by the combination of mass spectrometry and sequence database searching. This combination provides the cancer biologist with the ability to (i) identify the potential protein:protein associations and (ii) fully characterize function-critical post-translational modifications, both directly from silver-stained polyacrylamide gels. In this report we describe the application of tandem mass spectrometry and database searching to two problems which are prototypical for cancer research and indeed for biomedical research in general. The first is the identification of gel-separated, low abundance proteins based on amino acid sequence composition following coimmunoprecipitation with the human apoptosis inhibitor protein BclX(L). The second is the determination of the precise sites of phosphorylation of the human regulatory protein 4E-BP1, which controls mRNA translation.     

Acid-labile surfactant improves in-sodium dodecyl sulfate polyacrylamide gel protein digestion for matrix-assisted laser desorption/ionization mass spectrometric peptide mapping

Mass spectrometry (MS) together with genome database searches serves as a powerful tool for the identification of proteins. In proteome analysis, mixtures of cellular proteins are usually separated by sodium dodecyl sulfate (SDS) polyacrylamide gel-based two-dimensional gel electrophoresis (2-DE) or one-dimensional gel electrophoresis (1-DE), and in-gel digested by a specific protease. In-gel protein digestion is one of the critical steps for sensitive protein identification by these procedures. Efficient protein digestion is required for obtaining peptide peaks necessary for protein identification by MS. This paper reports a remarkable improvement of protein digestion in SDS polyacrylamide gels using an acid-labile surfactant, sodium 3-[(2-methyl-2-undecyl-1,3-dioxolan-4-yl)methoxy]-1-propanesulfonate (ALS). Pretreatment of gel pieces containing protein spots separated by 2-DE with a small amount of ALS prior to trypsin digestion led to increases in the digested peptides eluted from the gels. Consistently, treatment of gel pieces containing silver-stained standard proteins and those separated from tissue extracts resulted in the detection of increased numbers of peptide peaks in spectra obtained by matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOFMS). Hence the present protocol with ALS provides a useful strategy for sensitive protein identification by MS.     

Sequit: software for de novo peptide sequencing by matrix-assisted laser desorption/ionization post-source decay mass spectrometry

Peptide sequencing by mass spectrometry is gaining increasing importance for peptide chemistry and proteomics. However, available tools for interpreting matrix-assisted laser desorption/ionization post-source decay (MALDI-PSD) mass spectra depend on databases, and identify peptides by matching experimental data with spectra calculated from database sequences. This severely obstructs the identification of proteins and peptides not listed in databases or of variations, e.g. mutated proteins. The development of a new computer program for database-independent peptide sequencing by MALDI-PSD mass spectrometry is reported here. This computer program was validated by the determination of the correct sequences for various peptides including sequences listed in the sequence databases, but also for peptides that deviate from database sequences or are completely artificial. This strategy should substantially facilitate the identification of novel or variant peptides and proteins, and increase the power of MALDI-PSD analyses in proteomics.     

生命科学中的分析化学--蛋白质组分析

概述了分析化学在生命科学中的重要作用和蛋白质组分析的现状与展望。介绍了生物试样的制备、双向凝胶电泳分离蛋白质以及生物质谱鉴定蛋白质等蛋白质组分析的主要技术平台。     

Data requirements for protein identification using chemically-assisted fragmentation and tandem mass spectrometry

Many laboratories identify proteins by searching tandem mass spectrometry data against genomic or protein sequence databases. These database searches typically use the measured peptide masses or the derived peptide sequence and, in this paper, we focus on the latter. We study the minimum peptide sequence data requirements for definitive protein identification from protein sequence databases. Accurate mass measurements are not needed for definitive protein identification, even when a limited amount of sequence data is available for searching. This information has implications for the mass spectrometry performance (and cost), data base search strategies and proteomics research.     

优化分离与鉴定蓝斑背肛海兔口腔神经节蛋白质组

采用双向凝胶电泳技术优化分离蓝斑背肛海兔(Notarcus leachii cirrosus Stimpson, NLCS)口腔神经节(Buccal Ganglion, BG)蛋白质组, 并获得约300个蛋白质斑点. 用组合基质辅助激光解吸电离化飞行时间(MALDI-TOF)质谱技术和胶内酶解技术测定BG蛋白质组中的96个蛋白质斑点的肽指纹(Peptide mass fingerprint, PMF)图谱. 经数据库检索与比对后, 发现96种蛋白质中仅有4种蛋白质可获得较高的匹配率, 它们分别是微管蛋白(Tubulin)、 肌动蛋白(Actin)和两个1,5-二磷酸核酮糖-羧化酶/加氧酶(Ribulose-1,5-bisphosphate carboxylase/oxygenase, Ribulose), 均属于神经细胞骨架蛋白质; 同时还发现一种交配信号肽前体(Peptide mating pheromone precursor). 利用LOCtrees软件和分类法对56种蛋白质进行亚细胞定位与分类.     

Protein profile of the HeLa cell line

HeLa cells are widely used for all kinds of in vitro studies in biochemistry, biology and medicine. Knowledge on protein expression is limited and no comprehensive study on the proteome of this cell type has been reported so far. We applied proteomics technologies to analyze the proteins of the HeLa cell line. The proteins were analyzed by two-dimensional (2D) gel electrophoresis and identified by matrix-assisted laser desorption ionization mass spectrometry (MS) on the basis of peptide mass fingerprinting, following in-gel digestion with trypsin. Approximately 3000 spots, excised from six two-dimensional gels, were analyzed. The analysis resulted in the identification of about 1200 proteins that were the products of 297 different genes. The HeLa cell database includes proteins with important functions and unknown functions, representing today one of the largest two-dimensional databases for eukaryotic proteomes and forming the basis for future expressional studies at the protein level.