Mass spectrometric approaches for elucidation of antigenantibody recognition structures in molecular immunology

Mass spectrometric approaches have recently gained increasing access to molecular immunology and several methods have been developed that enable detailed chemical structure identification of antigen-antibody interactions. Selective proteolytic digestion and MS-peptide mapping (epitope excision) has been successfully employed for epitope identification of protein antigens. In addition, "affinity proteomics" using partial epitope excision has been developed as an approach with unprecedented selectivity for direct protein identification from biological material. The potential of these methods is illustrated by the elucidation of a beta-amyloid plaque-specific epitope recognized by therapeutic antibodies from transgenic mouse models of Alzheimer's disease. Using an immobilized antigen and antibody-proteolytic digestion and analysis by high resolution Fourier transform ion cyclotron resonance mass spectrometry has lead to a new approach for the identification of antibody paratope structures (paratope-excision; "parex-prot"). In this method, high resolution MS-peptide data at the low ppm level are required for direct identification of paratopes using protein databases. Mass spectrometric epitope mapping and determination of "molecular antibody-recognition signatures" offer high potential, especially for the development of new molecular diagnostics and the evaluation of new vaccine lead structures.     

Determination of cell type‐specific proteome signatures of primary human leukocytes,endothelial cells,keratinocytes, hepatocytes,fibroblasts and melanocytes by comparative proteome profiling

Cells gain their functional specialization by different protein synthesis. A lot of knowledge with respect to cell type‐specific proteins has been collected during the last thirty years. This knowledge was built mainly by using antibodies. Nowadays, modern MS, which supports comprehensive proteome analyses of biological samples, may render possible the search for cell type‐specific proteins as well. However, a therefore necessary systematic MS study comprising many different cell types has not been performed until now. Here we present a proteome analysis strategy supporting the automated and meaningful comparison of any biological samples. We have presently applied this strategy to six different primary human cell types, namely leukocytes, endothelial cells, keratinocytes, hepatocytes, fibroblasts, and melanocytes. Comparative analysis of the resulting proteome profiles allowed us to select proteins specifically identified in one of the six cell types and not in any of the five others. Based on these results, we designated cell type‐specific proteome signatures consisting each of six such characteristic proteins. These signatures independently reproduced well‐known marker proteins already established for FACS analyses in addition to novel candidate marker proteins. We applied these signatures for the interpretation of proteome profiles obtained from the analyses of hepatocellular carcinoma‐associated tissue homogenates and normal liver tissue homogenates. The identification of members of the above described signatures gave us an indication of the presence of characteristic cells in the diseased tissues and thus supported the interpretation of the proteomics data of these complex biological samples.     

氨基酸组成相同序列不同的小分子多肽的液相色谱-质谱联用分析

多肽组学是近年来兴起的一门新型学科,质谱已成为多肽组学研究的强有力手段．然而,用于检测具有相同氨基酸组成但序列不同的多肽时,只能给出等同的分子离子峰,在多肽结构解析上受到一定限制．因此,发展色谱分离．质谱检测联用技术是分析具有相同氨基酸组成但序列不同的多肽的有效途径．本文建立了一种氨基酸组成相同序列不同的小分子多肽的反相液相色谱分离-电喷雾离子化质谱检测新方法．该方法采用高效液相色谱-质谱联用技术,以两种三肽Gly．Ser．Phe和Gly．Phe．Ser为模式样品对象,考察了小分子多肽在不同流动相组成、流动相添加剂及pH等条件下的液相色谱行为,并讨论其保留机理．研究结果表明,在最优化的实验条件下,该方法稳定性好,重现性高,为多肽组学研究中的多肽解析提供科学的分析方法．     

组合肽配体库技术富集蛋白研究进展

低丰度蛋白是生物体中重要的活性物质,参与新陈代谢、转录和翻译等多种生理及病理过程,因此对低丰度蛋白的研究具有重要意义。组合肽配体库技术(CPLL)是富集低丰度蛋白的一种有效方法,通过CPLL富集作用可以实现低丰度蛋白的检测与鉴定。该文总结了CPLL应用于不同领域中(包括人体、动物源、植物源等蛋白研究方面)低丰度蛋白样品的富集研究,可为CPLL的进一步应用提供参考。     

Recent advances in capillary separations for proteomics

The sequencing of several organisms' genomes, including the human's one, has opened the way for the so-called postgenomic era, which is now routinely coined as "proteomics". The most basic task in proteomics remains the detection and identification of proteins from a biological sample, and the most traditional way to achieve this goal consists of protein separations performed by two-dimensional polyacrylamide gel electrophoresis (2-D PAGE). Still, the 2-D PAGE-mass spectrometry (MS) approach remains lacking in proteome coverage (for proteins having extreme isoelectric points or molecular masses as well as for membrane proteins), dynamic range, sensitivity, and throughput. Consequently, considerable efforts have been devoted to the development of non-gel-based proteome separation technologies in an effort to alleviate the shortcomings in 2-D PAGE while reserving the ability to resolve complex protein and peptide mixtures prior to MS analysis. This review focuses on the most recent advances in capillary-based separation techniques, including capillary liquid chromatography, capillary electrophoresis, and capillary electrokinetic chromatography, and combinations of multiples of these mechanisms, along with the coupling of these techniques to MS. Developments in capillary separations capable of providing extremely high resolving power and selective analyte enrichment are particularly highlighted for their roles within the broader context of a state-of-the-art integrated proteome effort. Miniaturized and integrated multidimensional peptide/protein separations using microfluidics are further summarized for their potential applications in high-throughput protein profiling toward biomarker discovery and clinical diagnosis.     

Identification evidence unraveled by strict proteomics rules toward forensic samples

Snake venom is a complex mixture of proteins and peptides secreted by venomous snakes from their poison glands. Although proteomics for snake venom composition, interspecific differences, and developmental evolution has been developed for a decade, current diagnosis or identification techniques of snake venom in clinical intoxication and forensic science applications are mainly dependent on morphological and immunoassay. It could be expected that the proteomics techniques directly offer great help. This work applied a bottom-up proteomics method to identify proteins’ types and species attribution in suspected snake venom samples using ultrahigh-performance liquid chromatography–quadrupole-electrostatic field Orbitrap tandem mass spectrometric technique, and cytotoxicity assay was amended to provide a direct evidence of toxicity. Toward the suspicious samples seized in the security control, sample pretreatment (in-sol and in-gel digestion) and data acquisition (nontargeted and targeted screening) modes complemented and validated each other. We have implemented two consequent approaches in identifying the species source of proteins in the samples via the points of venom proteomics and strict forensic identification. First, we completed a workflow consisting of a proteomics database match toward an entire SWISS-PROT (date 2018-11-22) database and a result-directed specific taxonomy database. The latter was a helpful hint to compare master protein kinds and reveal the insufficiency of specific venom proteomics characterization rules. Second, we suggested strict rules for protein identification to meet the requirements of forensic science on improved identification correctness, that is, (1) peptide spectrum matches confidence, peptide confidence, and protein confidence were both high (with the false-discovery ratio less than 1%); (2) the number of unique peptides was more than or equal to two in one protein, and (3) within unique peptides, which at least 75% of the ∆m/z of the matched y and b ions were less than 5 ppm. We identified these samples as cobra venom containing 10 highly abundant proteins (P00597, P82463, P60770, Q9YGI4, P62375, P49123, P80245, P60302, P01442, and P60304) from two snake venom protein families (acid phospholipase A2 and three-finger toxins), and the most abundant proteins were cytotoxins.     

p‐Azidophenylarsenoxide: An Arsenical “Bait” for the In Situ Capture and Identification of Cellular Arsenic‐Binding Proteins

Identification of arsenic‐binding proteins is important for understanding arsenic health effects and for developing arsenic‐based therapeutics. We report here a strategy for the capture and identification of arsenic‐binding proteins in living cells. We designed an azide‐labeled arsenical, p‐azidophenylarsenoxide (PAzPAO), to serve bio‐orthogonal functions: the trivalent arsenical group binds to cellular proteins in situ, and the azide group facilitates click chemistry with dibenzylcyclooctyne. The selective and efficient capture of arsenic‐binding proteins enables subsequent enrichment and identification by shotgun proteomics. Applications of the technique are demonstrated using the A549 human lung carcinoma cells and two in vitro model systems. The technique enables the capture and identification of 48 arsenic‐binding proteins in A549 cells incubated with PAzPAO. Among the identified proteins are a series of antioxidant proteins (e.g., thioredoxin, peroxiredoxin, peroxide reductase, glutathione reductase, and protein disulfide isomerase) and glyceraldehyde‐3‐phosphate dehydrogenase. Identification of these functional proteins, along with studies of arsenic binding and enzymatic inhibition, points to these proteins as potential molecular targets that play important roles in arsenic‐induced health effects and in cancer treatment.     

Peptide display in functional genomics

The completion of the human genome project has opened novel scientific avenues in functional genomics, structural genomics and proteomics. These areas have a common goal: the identification of all the proteins acting and cross-talking in a single cell at a defined moment of its lifecycle. The expansion of these areas in bioscience has been facilitated by the rapid development of high throughput screening (HTS) methods which has, in turn, attracted the business community to make investments in this novel business segment of biotechnology. By using these HTS methods, the hope is that novel targets will be validated much more rapidly speeding up the development of novel drugs. Numerous techniques and tools have emerged over the past decade for the identification of small target-specific molecular ligands that exploit a common feature: the exploration of molecular diversity using combinatorial methods. While chemists developed new methods for rapidly and efficiently synthesising and screening large collections of small molecules, biologists used recombinant DNA techniques for selecting displayed repertoires. To this end, the discovery of new low molecular weight peptides is becoming increasingly important, not only as molecular tools for the understanding of protein-protein interactions but also for the generation of lead compounds.     

Characterization of the human serum depletome by label-free shotgun proteomics

While it is known that immunoaffinity depletion of abundant proteins in serum removes additional proteins beyond those targeted, there has been little characterization of the co-depleted proteins in the high abundant fraction, which we refer to here as the "depletome". We present evidence of co-depletion of non-targeted proteins in human serum using a top-20 immunodepletion column, as shown by label-free liquid chromatography mass spectrometry (LC-MS(E)) profiling. This led to identification of 147 proteins which were specific for this fraction and comprised proteins with functions predominantly in binding and transport of nucleotides, metal ions, carbohydrates and lipids. These results suggest that further studies on this commonly ignored serum fraction may provide new insights into clinical proteomics.     

Intact protein separation by chromatographic and/or electrophoretic techniques for top-down proteomics

Mass spectrometry used in combination with a wide variety of separation methods is the principal methodology for proteomics. In bottom-up approach, proteins are cleaved with a specific proteolytic enzyme, followed by peptide separation and MS identification. In top-down approach intact proteins are introduced into the mass spectrometer. The ions generated by electrospray ionization are then subjected to gas-phase separation, fragmentation, fragment separation, and automated interpretation of mass spectrometric and chromatographic data yielding both the molecular weight of the intact protein and the protein fragmentation pattern. This approach requires high accuracy mass measurement analysers capable of separating the multi-charged isotopic cluster of proteins, such as hybrid ion trap-Fourier transform instruments (LTQ-FTICR, LTQ-Orbitrap). Front-end separation technologies tailored for proteins are of primary importance to implement top-down proteomics. This review intends to provide the state of art of protein chromatographic and electrophoretic separation methods suitable for MS coupling, and to illustrate both monodimensional and multidimensional approaches used for LC-MS top-down proteomics. In addition, some recent progresses in protein chromatography that may provide an alternative to those currently employed are also discussed.     

The role of liquid chromatography in proteomics

Proteomics represents a significant challenge to separation scientists because of the diversity and complexity of proteins and peptides present in biological systems. Mass spectrometry as the central enabling technology in proteomics allows detection and identification of thousands of proteins and peptides in a single experiment. Liquid chromatography is recognized as an indispensable tool in proteomics research since it provides high-speed, high-resolution and high-sensitivity separation of macromolecules. In addition, the unique features of chromatography enable the detection of low-abundance species such as post-translationally modified proteins. Components such as phosphorylated proteins are often present in complex mixtures at vanishingly small concentrations. New chromatographic methods are needed to solve these analytical challenges, which are clearly formidable, but not insurmountable. This review covers recent advances in liquid chromatography, as it has impacted the area of proteomics. The future prospects for emerging chromatographic technologies such as monolithic capillary columns, high temperature chromatography and capillary electrochromatography are discussed.     

Separation and identification of photosynthetic antenna membrane proteins by high- performance liquid chromatography electrospray ionization mass spectrometry

Functional proteomics of membrane proteins is an important tool for the understanding of protein networks in biological membranes. Nevertheless, structural studies on this part of the proteome are limited. The present review attempts to cover the vast array of methods that have appeared in the last few years for separation and identification of photosynthetic proteins of thylakoid membranes present in chloroplasts, a good model for setting up analytical methods suitable for membrane proteins. The two major methods for the separation of thylakoid membrane proteins are gel electrophoresis and liquid chromatography. Isoelectric focusing in a first dimension followed by denaturing sodium dodecylsulfate polyacrylamide gel electrophoresis (SDS-PAGE) in a second dimension is an effective way to resolve large numbers of soluble and peripheral membrane proteins. However, it is not applicable for isolation of native protein complexes or for the separation of highly hydrophobic membrane proteins. High-performance liquid chromatography (HPLC), on the other hand, is highly suitable for any type of membrane protein separation due to its compatibility with detergents that are necessary to keep the hydrophobic proteins in solution. With regard to the identification of the separated proteins, several methods are available, including immunological and mass spectrometric methods. Besides immunological identification, peptide mass fingerprinting, peptide fragment fingerprinting or intact molecular mass determination by electrospray ionization mass spectrometry (ESI-MS) or matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) have been shown to be very sensitive and effective. In particular, identification of proteins by their intact molecular mass is advantageous for the investigation of numerous biological problems, because it is rapid and reflects the full sequence of the protein and all its posttranslational modifications. However, intact molecular mass determinations of gel-separated membrane proteins are hampered due to the difficulties in extracting the hydrophobic proteins from the gel, whereas HPLC on-line interfaced with ESI-MS enables the rapid and accurate determination of intact molecular masses and consequently an unequivocal protein identification. This strategy can be viewed as a multidimensional separation technique distinguishing between hydrophobicity in the first dimension and between different mass-to-charge ratios in the second dimension, allowing the separation and identification even of isomeric forms.     

Overview of software options for processing,analysis and interpretation of mass spectrometric proteomic data

Recently, the interests in proteomics have been intensively increased, and the proteomic methods have been widely applied to many problems in cell biology. If the age of 1990s is considered to be a decade of genomics, we can claim that the following years of the new century is a decade of proteomics. The rapid evolution of proteomics has continued through these years, with a series of innovations in separation techniques and the core technologies of two‐dimensional gel electrophoresis and MS. Both technologies are fueled by automation and high throughput computation for profiling of proteins from biological systems. As Patterson ever mentioned, ‘data analysis is the Achilles heel of proteomics and our ability to generate data now outstrips our ability to analyze it’. The development of automatic and high throughput technologies for rapid identification of proteins is essential for large‐scale proteome projects and automatic protein identification and characterization is essential for high throughput proteomics. This review provides a snap shot of the tools and applications that are available for mass spectrometric high throughput biocomputation. The review starts with a brief introduction of proteomics and MS. Computational tools that can be employed at various stages of analysis are presented, including that for data processing, identification, quantification, and the understanding of the biological functions of individual proteins and their dynamic interactions. The challenges of computation software development and its future trends in MS‐based proteomics have also been speculated. Copyright © 2014 John Wiley & Sons, Ltd.     

Proteomics and peptidomics in neuroscience. Experience of capabilities and limitations in a neurochemical laboratory

The increasing use of proteomics has created a basis for new strategies to develop methodologies for rapid identification of protein patterns in living organisms. It has also become evident that proteomics has other potential applications than protein and peptide identification, e.g. protein characterization, with the aim of revealing their structure, function(s) and interactions of proteins. In comparative proteomics studies, the protein expression of a certain biological system is compared with another system or the same system under perturbed conditions. Global identification of proteins in neuroscience is extremely complex, owing to the limited availability of biological material and very low concentrations of the molecules. Moreover, in addition to proteins, there are number of peptides that must also be considered in global studies on the central nervous system. In this overview, we focus on and discuss problems related to the different sources of biological material and sample handling, which are part of all preparatory and analytical steps. Straightforward protocols are desirable to avoid excessive purification steps, since loss of material at each step is inevitable. We would like to merge the two worlds of proteomics/peptidomics and neuroscience, and finally we consider different practical and technical aspects, illustrated with examples from our laboratory.     

Proteomics and Its Application in Biomarker Discovery and Drug Development

Proteomics is a research field aiming to characterize molecular and cellular dynamics in protein expression and function on a global level. The introduction of proteomics has been greatly broadening our view and accelerating our path in various medical researches. The most significant advantage of proteomics is its ability to examine a whole proteome or sub-proteome in a single experiment so that the protein alterations corresponding to a pathological or biochemical condition at a given time c…     

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。     

Nano-flow multidimensional liquid chromatography with electrospray ionization time-of-flight mass spectrometry for proteome analysis of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the top five cancers with the highest incident of a disease worldwide. To understand the mechanisms of hepatocarcinogenesis, proteomics analysis provides a powerful tool to identify proteins that associate with HCC. We developed a two-step procedure for mapping of HCC proteomics. In the first step, in order to simplify the complexity of proteomics of HCC, the subfractionation of complex protein mixtures in HCC into “subproteomes” is presented based on the solubility of protein. While in the second step an automate comprehensive two-dimensional (2D) separation system, coupling strong cation-exchange (SCX) in the first dimension with capillary reversed-phase chromatography (cRPLC) in the second dimension is developed further to separate and analyze proteins associated with HCC. By using this system, complex sample can be injected, desalted, separated and analyzed in complete automatization. The procedure for proteomics analysis was found to be applied for proteins with great molecular mass (>100 000), small molecular mass (<20 000), highly basic (pI > 9.5) and hydrophobicity, which are not well resolved in 2D-gel electrophoresis. In total 229 proteins were identified by using the described proteomics platform. Among them, several proteins related to the process of carcinogenesis were investigated further.     

Proteomic characterization of human platelet-derived microparticles

Microparticles (MPs) are small fragments of apoptotic or activated cells that may contribute to pathological processes in many diseases. Platelet-derived MPs (PMPs) are the most abundant type of MPs in human blood. To characterize the proteins in PMPs we used a shotgun proteomics approach by nanoHPLC separation followed by MS analysis on an LTQ Orbitrap XL. PMPs were produced from isolated platelets stimulated with adenosine diphosphate (ADP). We developed an analytical platform constituted by two different steps: in the first one we used a standard shotgun strategy; in the second one, to improve low-molecular weight, low-abundance-proteins identification, the samples were fractionated using hydrogel nanoparticles, an enrichment system based on a mixed mechanism of dimensional exclusion and colorant affinity. This was chosen to tackle a common issue with shotgun approaches, in which the low-abundance proteins are not detected when surveys are on a broad scale. By means of the entire analytical platform, we identified 603 proteins, 243 of which were not previously identified. A simple and straightforward procedure for the study of PMPs was provided, producing a tool for further understanding their biological and pathological roles, and a baseline for future studies aimed at discovering biomarkers involved in several diseases.     

Trident Nano-Indexing the Proteomics Table: Next-Version Clustering of Iron Carbide NPs and Protein Corona

Protein corona composition and precise physiological understanding of differentially expressed proteins are key for identifying disease biomarkers. In this report, we presented a distinctive quantitative proteomics table of molecular cell signaling differentially expressed proteins of corona that formed on iron carbide nanoparticles (NPs). High-performance liquid chromatography/electrospray ionization coupled with ion trap mass analyzer (HPLC/ESI-Orbitrap) and MASCOT helped quantify 142 differentially expressed proteins. Among these proteins, 104 proteins showed upregulated behavior and 38 proteins were downregulated with respect to the control, whereas 48, 32 and 24 proteins were upregulated and 8, 9 and 21 were downregulated CW (control with unmodified NPs), CY (control with modified NPs) and WY (modified and unmodified NPs), respectively. These proteins were further categorized on behalf of their regularity, locality, molecular functionality and molecular masses using gene ontology (GO). A STRING analysis was used to target the specific range of proteins involved in metabolic pathways and molecular processing in different kinds of binding functionalities, such as RNA, DNA, ATP, ADP, GTP, GDP and calcium ion bindings. Thus, this study will help develop efficient protocols for the identification of latent biomarkers in early disease detection using protein fingerprints.