MSQ: a tool for quantification of proteomics data generated by a liquid chromatography/matrix‐assisted laser desorption/ionization time‐of‐flight tandem mass spectrometry based targeted quantitative proteomics platform

Mass spectrometry (MS)‐based quantitative proteomics has become a critical component of biological and clinical research for identification of biomarkers that can be used for early detection of diseases. In particular, MS‐based targeted quantitative proteomics has been recently developed for the detection and validation of biomarker candidates in complex biological samples. In such approaches, synthetic reference peptides that are the stable isotope labeled version of proteotypic peptides of proteins to be quantitated are used as internal standards enabling specific identification and absolute quantification of targeted peptides. The quantification of targeted peptides is achieved using the intensity ratio of a native peptide to the corresponding reference peptide whose spike‐in amount is known. However, a manual calculation of the ratios can be time‐consuming and labor‐intensive, especially when the number of peptides to be tested is large. To establish a liquid chromatography/matrix‐assisted laser desorption/ionization time‐of‐flight tandem mass spectrometry (LC/MALDI TOF/TOF)‐based targeted quantitative proteomics pipeline, we have developed a software named Mass Spectrometry based Quantification (MSQ). This software can be used to automate the quantification and identification of targeted peptides/proteins by the MALDI TOF/TOF platform. MSQ was applied to the detection of a selected group of targeted peptides in pooled human cerebrospinal spinal fluid (CSF) from patients with Alzheimer's disease (AD) in comparison with age‐matched control (OC). The results for the automated quantification and identification of targeted peptides/proteins in CSF were in good agreement with results calculated manually. Copyright © 2010 John Wiley & Sons, Ltd.     

Microwave-assisted acid hydrolysis of proteins combined with liquid chromatography MALDI MS/MS for protein identification

Simple and efficient digestion of proteins, particularly hydrophobic membrane proteins, is of significance for comprehensive proteome analysis using the bottom-up approach. We report a microwave-assisted acid hydrolysis (MAAH) method for rapid protein degradation for peptide mass mapping and tandem mass spectrometric analysis of peptides for protein identification. It uses 25% trifluoroacetic acid (TFA) aqueous solution to dissolve or suspend proteins, followed by microwave irradiation for 10 min. This detergent-free method generates peptide mixtures that can be directly analyzed by liquid chromatography (LC) matrix-assisted laser desorption ionization (MALDI) mass spectrometry (MS) without the need of extensive sample cleanup. LC-MALDI MS/MS analysis of the hydrolysate from 5 microg of a model transmembrane protein, bacteriorhodopsin, resulted in almost complete sequence coverage by the peptides detected, including the identification of two posttranslational modification sites. Cleavage of peptide bonds inside all seven transmembrane domains took place, generating peptides of sizes amenable to MS/MS to determine possible sequence errors or modifications within these domains. Cleavage specificity, such as glycine residue cleavage, was observed. Terminal peptides were found to be present in relatively high abundance in the hydrolysate, particularly when low concentrations of proteins were used for MAAH. It was shown that these peptides could still be detected from MAAH of bacteriorhodopsin at a protein concentration of 1 ng/microl or 37 fmol/microl. To evaluate the general applicability of this method, it was applied to identify proteins from a membrane protein enriched fraction of cell lysates of human breast cancer cell line MCF7. With one-dimensional LC-MALDI MS/MS, a total of 119 proteins, including 41 membrane-associated or membrane proteins containing one to 12 transmembrane domains, were identified by MS/MS database searching based on matches of at least two peptides to a protein.     

A perspective view of top‐down proteomics in snake venom research

The venom produced by snakes contains complex mixtures of pharmacologically active proteins and peptides which play a crucial role in the pathophysiology of snakebite diseases. The deep understanding of venom proteomes can help to improve the treatment of this “neglected tropical disease” (as expressed by the World Health Organization [WHO]) and to develop new drugs. The most widely used technique for venom analysis is liquid chromatography/tandem mass spectrometry (LC/MS/MS)‐based bottom‐up (BU) proteomics. Considering the fact that multiple multi‐locus gene families encode snake venom proteins, the major challenge for the BU proteomics is the limited sequence coverage and also the “protein inference problem” which result in a loss of information for the identification and characterization of toxin proteoforms (genetic variation, alternative mRNA splicing, single nucleotide polymorphism [SNP] and post‐translational modifications [PTMs]). In contrast, intact protein measurements with top‐down (TD) MS strategies cover almost complete protein sequences, and prove the ability to identify venom proteoforms and to localize their modifications and sequence variations.     

Development of a dedicated peptide tandem mass spectral library for conservation science

In recent years, the use of liquid chromatography tandem mass spectrometry (LC–MS/MS) on tryptic digests of cultural heritage objects has attracted much attention. It allows for unambiguous identification of peptides and proteins, and even in complex mixtures species-specific identification becomes feasible with minimal sample consumption. Determination of the peptides is commonly based on theoretical cleavage of known protein sequences and on comparison of the expected peptide fragments with those found in the MS/MS spectra. In this approach, complex computer programs, such as Mascot, perform well identifying known proteins, but fail when protein sequences are unknown or incomplete. Often, when trying to distinguish evolutionarily well preserved collagens of different species, Mascot lacks the required specificity. Complementary and often more accurate information on the proteins can be obtained using a reference library of MS/MS spectra of species-specific peptides. Therefore, a library dedicated to various sources of proteins in works of art was set up, with an initial focus on collagen rich materials. This paper discusses the construction and the advantages of this spectral library for conservation science, and its application on a number of samples from historical works of art.     

基于质谱的蛋白质组学技术在食品真伪鉴别及品质识别方面的应用

蛋白质组学作为后基因组时代的一个新研究方向,近几年发展迅速,目前已应用于多个领域,在食品品质检测和安全控制方面成为有力的研究工具。蛋白质组学为食品科学的相关研究打开了新思路,不仅可以鉴定蛋白质种类,还可进行蛋白质定量,为分析不同物种、产地、成熟阶段的食品蛋白质组分和含量提供了可能。蛋白质组学研究手段多样,质谱是常用技术之一。该文介绍了蛋白质组学的概念、分类、研究技术以及常见蛋白质数据库,综述了基于质谱的蛋白质组学技术在真伪鉴别和品质检测方面的应用,涉及海鲜、肉制品、奶制品、保健食品及高附加值食品等多种食品,并对蛋白质组学的发展进行了展望。     

An algorithm for identifying multiply modified endogenous proteins using both full-scan and high-resolution tandem mass spectrometric data

Mass spectrometry based proteomic experiments have advanced considerably over the past decade with high-resolution and mass accuracy tandem mass spectrometry (MS/MS) capabilities now allowing routine interrogation of large peptides and proteins. Often a major bottleneck to 'top-down' proteomics, however, is the ability to identify and characterize the complex peptides or proteins based on the acquired high-resolution MS/MS spectra. For biological samples containing proteins with multiple unpredicted processing events, unsupervised identifications can be particularly challenging. Described here is a newly created search algorithm (MAR) designed for the identification of experimentally detected peptides or proteins. This algorithm relies only on predefined list of 'differential' modifications (e.g. phosphorylation) and a FASTA-formatted protein database, and is not constrained to full-length proteins for identification. The algorithm is further powered by the ability to leverage identified mass differences between chromatographically separated ions within full-scan MS spectra to automatically generate a list of likely 'differential' modifications to be searched. The utility of the algorithm is demonstrated with the identification of 54 unique polypeptides from human apolipoprotein enriched from the high-density lipoprotein particle (HDL), and searching time benchmarks demonstrate scalability (12 high-resolution MS/MS scans searched per minute with modifications considered). This parallelizable algorithm provides an additional solution for converting high-quality MS/MS data of multiply processed proteins into reliable identifications.     

磺化修饰结合离子交换色谱和生物质谱富集鉴定含组氨酸肽段

通过在肽段的N端引入磺酸基,从而使含组氨酸的肽段与其他肽段在pH<3.0的条件下产生电荷差异,建立了一种基于强阳离子交换色谱(SCX)结合生物质谱富集鉴定含组氨酸肽段的方法,并以含有组氨酸的标准蛋白质为模型,进行了方法学考察。结果表明,经N端磺酸化后,含组氨酸的肽段能有效地被阳离子交换色谱富集,且在肽的N端引入磺酸基促进了肽的裂解,使之产生简单而信息丰富的二级质谱图,从而得到完美的质谱鉴定结果。这说明磺化修饰结合强阳离子交换色谱用于含组氨酸肽段的富集鉴定是可行的,且具有在蛋白质组研究中应用的潜力。     

Independent highly sensitive characterization of asparagine deamidation and aspartic acid isomerization by sheathless CZE‐ESI‐MS/MS

Amino acids residues are commonly submitted to various physicochemical modifications occurring at physiological pH and temperature. Post‐translational modifications (PTMs) require comprehensive characterization because of their major influence on protein structure and involvement in numerous in vivo process or signaling. Mass spectrometry (MS) has gradually become an analytical tool of choice to characterize PTMs; however, some modifications are still challenging because of sample faint modification levels or difficulty to separate an intact peptide from modified counterparts before their transfer to the ionization source. Here, we report the implementation of capillary zone electrophoresis coupled to electrospray ionization tandem mass spectrometry (CZE‐ESI‐MS/MS) by the intermediate of a sheathless interfacing for independent and highly sensitive characterization of asparagine deamidation (deaN) and aspartic acid isomerization (isoD). CZE selectivity regarding deaN and isoD was studied extensively using different sets of synthetic peptides based on actual tryptic peptides. Results demonstrated CZE ability to separate the unmodified peptide from modified homologous exhibiting deaN, isoD or both independently with a resolution systematically superior to 1.29. Developed CZE‐ESI‐MS/MS method was applied for the characterization of monoclonal antibodies and complex protein mixture. Conserved CZE selectivity could be demonstrated even for complex samples, and foremost results obtained showed that CZE selectivity is similar regardless of the composition of the peptide. Separation of modified peptides prior to the MS analysis allowed to characterize and estimate modification levels of the sample independently for deaN and isoD even for peptides affected by both modifications and, as a consequence, enables to distinguish the formation of l ‐aspartic acid or d ‐aspartic acid generated from deaN. Separation based on peptide modification allowed, as supported by the ESI efficiency provided by CZE‐ESI‐MS/MS properties, and enabled to characterize and estimate studied PTMs with an unprecedented sensitivity and proved the relevance of implementing an electrophoretic driven separation for MS‐based peptide analysis. Copyright © 2016 John Wiley & Sons, Ltd.     

Discovery of Post-Translational Modifications in Emiliania huxleyi

Emiliania huxleyi is a cosmopolitan coccolithophore that plays an essential role in global carbon and sulfur cycling, and contributes to marine cloud formation and climate regulation. Previously, the proteomic profile of Emiliania huxleyi was investigated using a three-dimensional separation strategy combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS). The current study reuses the MS/MS spectra obtained, for the global discovery of post-translational modifications (PTMs) in this species without specific enrichment methods. Twenty-five different PTM types were examined using Trans-Proteomic Pipeline (Comet and PeptideProphet). Overall, 13,483 PTMs were identified in 7421 proteins. Methylation was the most frequent PTM with more than 2800 modified sites, and lysine was the most frequently modified amino acid with more than 4000 PTMs. The number of proteins identified increased by 22.5% to 18,780 after performing the PTM search. Compared to intact peptides, the intensities of some modified peptides were superior or equivalent. The intensities of some proteins increased dramatically after the PTM search. Gene ontology analysis revealed that protein persulfidation was related to photosynthesis in Emiliania huxleyi. Additionally, various membrane proteins were found to be phosphorylated. Thus, our global PTM discovery platform provides an overview of PTMs in the species and prompts further studies to uncover their biological functions. The combination of a three-dimensional separation method with global PTM search is a promising approach for the identification and discovery of PTMs in other species.     

Mass spectrometry in biodefense

Potential agents for biological attacks include both microorganisms and toxins. In mass spectrometry (MS), rapid identification of potential bioagents is achieved by detecting the masses of unique biomarkers, correlated to each agent. Currently, proteins are the most reliable biomarkers for detection and characterization of both microorganisms and toxins, and MS-based proteomics is particularly well suited for biodefense applications. Confident identification of an organism can be achieved by top-down proteomics following identification of individual protein biomarkers from their tandem mass spectra. In bottom-up proteomics, rapid digestion of intact protein biomarkers is again followed by MS/MS to provide unambiguous bioagent identification and characterization. Bioinformatics obviates the need for culturing and rigorous control of experimental variables to create and use MS fingerprint libraries for various classes of bioweapons. For specific applications, MS methods, instruments and algorithms have also been developed for identification based on biomarkers other than proteins and peptides.     

Over 10 000 Peptide Identifications from the HeLa Proteome by Using Single‐Shot Capillary Zone Electrophoresis Combined with Tandem Mass Spectrometry

Capillary zone electrophoresis (CZE)–tandem mass spectrometry (MS/MS) has recently attracted attention as a tool for shotgun proteomics. However, its performance for this analysis has so far fallen far below that of reversed‐phase liquid chromatography (RPLC)–MS/MS. The use of a CZE method with a wide separation window (up to 90 min) and high peak capacity (ca. 300) is reported. This method was coupled to an Orbitrap Fusion mass spectrometer through an electrokinetically pumped sheath‐flow interface for the analysis of complex proteome digests. Single‐shot CZE–MS/MS lead to the identification of over 10 000 peptides and 2100 proteins from a HeLa cell proteome digest in approximately 100 min. This performance is nearly an order of magnitude better than earlier CZE studies and is within a factor of two to four of the state‐of‐the‐art nano ultrahigh‐pressure LC system.     

The use of proteotypic peptide libraries for protein identification

This paper describes an algorithm to apply proteotypic peptide sequence libraries to protein identifications performed using tandem mass spectrometry (MS/MS). Proteotypic peptides are those peptides in a protein sequence that are most likely to be confidently observed by current MS-based proteomics methods. Libraries of proteotypic peptide sequences were compiled from the Global Proteome Machine Database for Homo sapiens and Saccharomyces cerevisiae model species proteomes. These libraries were used to scan through collections of tandem mass spectra to discover which proteins were represented by the data sets, followed by detailed analysis of the spectra with the full protein sequences corresponding to the discovered proteotypic peptides. This algorithm (Proteotypic Peptide Profiling, or P3) resulted in sequence-to-spectrum matches comparable to those obtained by conventional protein identification algorithms using only full protein sequences, with a 20-fold reduction in the time required to perform the identification calculations. The proteotypic peptide libraries, the open source code for the implementation of the search algorithm and a website for using the software have been made freely available. Approximately 4% of the residues in the H. sapiens proteome were required in the proteotypic peptide library to successfully identify proteins.     

Use of monolithic supports in proteomics technology

An overview on the utilization of monoliths in proteomics technology will be given. Both silica- and polymer-based monoliths have broad use for microseparation of tryptic peptides in reversed-phase (RP) mode before identification by mass spectrometry (MS) or by MS/MS. For two-dimensional (2D) LC separation of peptides before MS or MS/MS analysis, a combination of ion-exchange, usually cation-exchange (CEX) chromatography with RP chromatography on monolithic supports can be employed. Immobilized metal ion affinity chromatography monoliths with immobilized Fe3+-ions are used for the isolation of phosphopeptides. Monoliths with immobilized affinity ligands are usually applied to the rapid separation of proteins and peptides. Miniaturized reactors with immobilized proteolytic enzymes are utilized for rapid on- or offline digestion of isolated proteins or protein mixtures prior to identification by LC-MS/MS. Monoliths also have broad potential for application in sample preparation, prior to further proteomic analyses. Monolithic supports with large pore sizes can be exploited for the isolation of nanoparticles, such as cells, organelles, viruses and protein aggregates. The potential for further adoption of monolithic supports in protein separation and enrichment of low abundance proteins prior to proteolytic digestion and final LC-MS/MS protein identification will be discussed.     

Applications of LC/MS in structure identifications of small molecules and proteins in drug discovery

With advancements in ionization methods and instrumentation, liquid chromatography/mass spectrometry (LC/MS) has become a powerful technology for the characterization of small molecules and proteins. This article will illustrate the role of LC/MS analysis in drug discovery process. Examples will be given on high-throughput analysis, structural analysis of trace level impurities in drug substances, identification of metabolites, and characterization of therapeutic protein products for process improvement. Some unique MS techniques will also be discussed to demonstrate their effectiveness in facilitating structural identifications.     

MASSyPup — an ‘Out of the Box’ solution for the analysis of mass spectrometry data

Mass spectrometry has evolved to a key technology in the areas of metabolomics and proteomics. Centralized facilities generate vast amount of data, which frequently need to be processed off‐site. Therefore, the distribution of data and software, as well as the training of personnel in the analysis of mass spectrometry data, becomes increasingly important. Thus, we created a comprehensive collection of mass spectrometry software which can be run directly from different media such as DVD or USB without local installation. MASSyPup is based on a Linux Live distribution and was complemented with programs for conversion, visualization and analysis of mass spectrometry (MS) data. A special emphasis was put on protein analysis and proteomics, encompassing the measurement of complete proteins, the identification of proteins based on Peptide Mass Fingerprints (PMF) or LC‐MS/MS data, and de novo sequencing. Another focus was directed to the study of metabolites and metabolomics, covering the detection, identification and quantification of compounds, as well as subsequent statistical analyses. Additionally, we added software for Mass Spectrometry Imaging (MSI), including hardware support for self‐made MSI devices. MASSyPup represents a ‘ready to work’ system for teaching or MS data analysis, but also represents an ideal platform for the distribution of MS data and the development of related software. The current Live DVD version can be downloaded free of charge from http://www.bioprocess.org/massypup . Copyright © 2014 John Wiley & Sons, Ltd.     

尺寸排阻-反相液相色谱-质谱联用技术在大鼠肾脏翻译后修饰蛋白质鉴定中的应用

LC-MS联用技术在蛋白质组学研究中具有重要的作用,但是在复杂的生物体系中,由于样品的高度复杂性和其中蛋白质含量的巨大差异,执行全面且无倾向的蛋白质组分析是一项挑战。因此,在液相色谱分离中采用基于不同原理的色谱分离方法来降低蛋白质样本的复杂度,并对微量蛋白质进行富集,对后续采用质谱方法进行信息的采集和深入分析至关重要。在这里我们开发了一种基于尺寸排阻色谱(SEC)与反相液相色谱(RPLC)结合的新方法来进行复杂体系蛋白质的分离和鉴定,特别是对于微量蛋白质的分析。首先使用SEC对蛋白质进行分离和富集,并酶解成多肽,再通过RPLC-MS联用的方法对酶解后的多肽进行分离和鉴定。结果显示使用上述方法可以有效降低蛋白质样本的复杂度,并有效提高微量蛋白质的鉴定能力,可从大鼠肾脏鉴定出23621个肽段及1345个蛋白质,比常规的二维强阳离子交换-反相液相色谱法(2D SCX-RPLC)鉴定到的肽段及蛋白质分别多出69%及27%。此外,该方法对肾脏翻译后修饰(PTM)蛋白质的鉴定显示出更多的优势,翻译后修饰的多肽鉴定率显著增加,特别是磷酸化肽段的鉴定效率可达到靶向富集策略的水平。在此展示的SEC-RPLC-MS可以更好地了解蛋白质翻译后修饰对肾脏的影响,最终将有助于增加我们对正常的生理性肾功能以及病理过程机制的理解。     

Combined usage of cascade affinity fractionation and LC‐MS/MS for the proteomics of adult mouse testis

In this report, the proteomics of adult mouse testis were analyzed by the combined usage of cascade affinity fractionation and LC‐MS/MS. The differences between the selected affinity ligands in size, shape, structure, and biochemical characteristics, result in each ligand exhibiting a specific affinity to some protein groups. Therefore, a cascade composition of different ligands can be applied to the fractionation of complex tissue proteins. Ultimately, the fractions collected from cascade affinity fractionation were analyzed by LC‐MS/MS, which resulted in high confidence identification of a total of 1378 non‐redundant mouse testis protein groups, over 2.6 times as many proteins as were detected in the un‐fractionated sample (526). All detected proteins were bioinformatically categorized according to their physicochemical characteristics (such as relative molecular mass, pI, grand average hydrophobicity value, and transmembrane helices), subcellular location, and function annotation. This approach highlighted the sensitivity of this method to a wide variety of protein classes. Utilizing a combination of cascade affinity fractionation and LC‐MS/MS, we have established the largest proteomic database for adult mouse testis at the present time.     

Nanoscale proteomics

Efforts to develop a liquid chromatography (LC)/mass spectrometry (MS) technology for ultra-sensitive proteomics studies (i.e., nanoscale proteomics) are described. The approach combines high-efficiency nanoscale LC (separation peak capacity of 10³; 15-m-i.d. packed capillaries with flow rates of 20 nL min^–1, the optimal separation linear velocity) with advanced MS, including high-sensitivity and high-resolution Fourier transform ion cyclotron resonance MS, to perform both single-stage MS and tandem MS (MS/MS) proteomic analyses. The technology enables broad protein identification from nanogram-size proteomics samples and allows the characterization of more abundant proteins from sub-picogram-size samples. Protein identification in such studies using MS is demonstrated from <75 zeptomole of a protein. The average proteome measurement throughput is ~50 proteins h^–1 using MS/MS during separations, presently requiring approximately 3 h sample^–1. Greater throughput (~300 proteins h^–1) and improved detection limits providing more comprehensive proteome coverage can be obtained by using the accurate mass and time tag approach developed in our laboratory. This approach provides a dynamic range of at least 10⁶ for protein relative abundances and an improved basis for quantitation. These capabilities lay the foundation for studies from single or limited numbers of cells.     

Large-scale muLC-MS/MS for silver- and Coomassie blue-stained polyacrylamide gels

2-DE combined with LC-MS/MS has become a routine, reliable protein separation and identification technology for proteome analysis. The demand for large-scale protein identifications after 2-DE separation requires a sensitive and high-throughput LC-MS/MS method. In this report, a simple, splitless, fully automated capillary LC-MS/MS system was described for the large-scale identification of proteins from gels stained with either silver or CBB. The gel samples were digested and peptides were extracted using an in-gel digestion workstation. The peptides were automatically introduced into a capillary column by an autosampler connected to an HPLC pump. A nanoLC pump was then used to deliver the gradient and elute the peptides from the capillary column directly into an LCQ IT mass spectrometer. Neither a peptide trapping setting nor a flow split is needed in this simple setup. The collected MS/MS spectra were then automatically searched by SEQUEST, and filtered and organized by DTASelect. Hundreds of silver-stained or CBB-stained Shewanella oneidensis, Geobacter sulfurreducens, and Geobacter metallireducens proteins separated by denaturing or nondenaturing 2-DE were digested and routinely analyzed using this fully automated muLC-MS/MS system. High peptide hits and sequence coverage were achieved for most CBB-stained gel spots. About 75% of the spots were found to contain multiple proteins. Although silver staining is not commonly thought to be optimal for MS analysis, protein identifications were successfully obtained from silver-stained 2-DE spots detected using methods with and without formaldehyde for protein fixation.     

Edman降解中异硫氰酸苯酯新修饰位点的发现和验证

Edman降解是最早建立的一种用于多肽和蛋白质氨基端测序的方法,该方法现在仍被广泛用于生物化学领域。随着高通量蛋白质组学技术的发展和应用,该方法中的异硫氰酸苯酯反应被用于修饰蛋白质氨基端,并用于检测蛋白质水解位点。但还没有异硫氰酸苯酯是否可以修饰其他氨基酸侧链并影响多肽序列分析的研究。为了探究其修饰其他氨基酸的可能性,本文利用基质辅助激光解吸电离飞行时间质谱（MALDI-TOF-MS）和液相色谱-串联质谱（LC-MS/MS）研究了异硫氰酸苯酯对一个模型肽的化学修饰。质谱数据解析后发现在高浓度异硫氰酸苯酯的反应条件下,组氨酸上可以引入一个新的异硫氰酸苯酯修饰位点。这一修饰位点的发现预示着通过改变实验条件或分析方法,可以更准确地利用Edman降解和蛋白质组学技术分析多肽和蛋白质。