Amino acid-coded tagging approaches in quantitative proteomics

To improve the efficiency, accuracy, reproducibility, throughput and proteome coverage of mass spectrometry-based quantitative approaches, both in vitro and in vivo tagging of particular amino acid residues of cellular proteins have been introduced to assist mass spectrometry for global-scale comparative studies of differentially expressed proteins/modifications between different biologically relevant cell states or cells at different pathological states. The basic features of these methods introduce pair-wise isotope signals of each individual peptide containing a particular type of tagged amino acid (amino acid-coded mass tagging) that originated from different cell states. In this review, the applications of major amino acid-coded mass tagging-based quantitative proteomics approaches, including isotope-coded affinity tag, isobaric tags for relative and absolute quantification (iTRAQ?) and stable isotope labeling by amino acids in cell culture are summarized in the context of their respective strengths/weakness in identifying those differentially expressed or post-translational modified proteins regulated by particular cellular stress on a genomic scale in a high-throughput manner. Importantly, these gel-free, in-spectra quantitative mechanisms have been further explored to identify/characterize large-scale protein–protein interactions involving various functional pathways. Taken together, the information about quantitative proteome changes, including multiple regulated proteins and their interconnected relationships, will provide an important insight into the molecular mechanisms, where novel targets for diagnosis and therapeutic intervention will be identified.     

The methods of quantitative proteomics

In modern science proteomic analysis is inseparable from other fields of systemic biology. Possessing huge resources quantitative proteomics operates colossal information on molecular mechanisms of life. Advances in proteomics help researchers to solve complex problems of cell signaling, posttranslational modification, structure and funciotnal homology of proteins, molecular diagnostics etc. More than 40 various methods have been developed in proteomics for quantitative analysis of proteins. Although each method is unique and has certain advantages and disadvantages all these use various isotope labels (tags). In this review we will consider the most popular and effective methods employing both chemical modifications of proteins and also metabolic and enzymatic methods of isotope labeling.     

Current trends in computational inference from mass spectrometry-based proteomics

Mass spectrometry offers a high-throughput approach to quantifying the proteome associated with a biological sample and hence has become the primary approach of proteomic analyses. Computation is tightly coupled to this advanced technological platform as a required component of not only peptide and protein identification, but quantification and functional inference, such as protein modifications and interactions. Proteomics faces several key computational challenges such as identification of proteins and peptides from tandem mass spectra as well as their quantitation. In addition, the application of proteomics to systems biology requires understanding the functional proteome, including how the dynamics of the cell change in response to protein modifications and complex interactions between biomolecules. This review presents an overview of recently developed methods and their impact on these core computational challenges currently facing proteomics.     

Mass spectrometry technologies for proteomics.

In the late 1980s, the advent of soft ionization techniques capable of generating stable gas phase ions from thermally unstable biomolecules, namely matrix-assisted laser desorption/ionization (MALDI) and electrospray ionization (ESI), laid the way for the development of a set of powerful alternatives to the traditional Edman chemistry for the structural characterization of peptides and proteins. The rapid protein identification capabilities that, coupled with two-dimensional gel electrophoresis, provided insights into all sorts of biological systems since the dawn of proteomics and have been exploited in the last few years for the development of more powerful and automatable gel-free strategies, mainly based on multidimensional chromatographic separations of peptides from proteolytic digests. In parallel to the evolution of ion sources, mass analysers and scan modes, the invention of new elegant biochemical strategies to fractionate or simplify highly complex mixtures, or to introduce isotopic labels in peptides in a variety of ways now makes also possible large-scale, high-coverage quantitative studies in a wide dynamic range. In this review, we provide the fundamental concepts of mass spectrometry (MS) and describe the technological progress of MS-based proteomics since its earliest days. Representative literature examples of their true power, either when employed as exploratory or as targeted techniques, is provided as well.     

Elevated Hexokinase II Expression Confers Acquired Resistance to 4-Hydroxytamoxifen in Breast Cancer Cells

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Highlights

• •LC-PRM-based targeted kinome analysis led to the quantification of 315 kinases in parental and tamoxifen-resistant MCF-7 breast cancer cells.
• •Hexokinase 2 and mTOR were up-regulated in tamoxifen-resistant MCF-7 cells, which was accompanied with elevated glycolysis rate.
• •Augmented expression of HK2 promotes autophagy through inhibition of the mTOR-S6K signaling pathway and results in resistance of MCF-7 cells to tamoxifen.
• •HK2 is a potential drug target for overcoming tamoxifen resistance.

     

Absolute quantification strategies in proteomics based on mass spectrometry

The strong need for quantitative information in proteomics has fueled the development of mass spectrometry-based analytical methods that are able to determine protein abundances. This article reviews mass spectrometry experiments aimed at providing an absolute quantification of proteins. The experiments make use of the isotope-dilution concept by spiking a known amount of synthetic, isotope-labeled reference peptide into the analyte sample. Quantification is achieved by comparing the mass spectrometry signal intensities of the reference with an endogenous peptide that is generated upon proteolytic cleavage of the target protein. In an analogous manner, the level of post-translational modification at a distinct residue within a target protein can be determined. Among the strengths of absolute quantification are low detection limits reaching subfemtomole levels, a high dynamic range spanning approximately five orders of magnitude, low requirements for sample clean-up, and a fast and straightforward method development. Recent studies have demonstrated the compatibility of absolute quantification with various mass spectrometry readout techniques and sample purification steps such as 1D gel electrophoresis, size-exclusion chromatography, isoelectric peptide focusing, strong cation exchange and reversed phase or affinity chromatography. Under ideal conditions, quantification errors and coefficients of variation below 5% have been reported. However, the fact that at the start of the experiment the analyte is a protein and the internal standard is a peptide, severe quantification errors may result due to the selection of unsuitable reference peptides and/or imperfect protein proteolysis. Within the ensemble of mass spectrometry-based quantification methods, absolute quantification is the method of choice in cases where absolute numbers, many repetitive experiments or precise levels of post-translational modifications are required for a few, preselected species of interest. Consequently, prominent application areas include biomarker quantification, the study of post-translational modifications such as phosphorylation or ubiquitination and the comparison of concentrations of interacting proteins.     

Bioinformatics analysis of mass spectrometry-based proteomics data sets

Proteomics has made tremendous progress, attaining throughput and comprehensiveness so far only seen in genomics technologies. The consequent avalanche of proteome level data poses great analytical challenges for downstream interpretation. We review bioinformatic analysis of qualitative and quantitative proteomic data, focusing on current and emerging paradigms employed for functional analysis, data mining and knowledge discovery from high resolution quantitative mass spectrometric data. Many bioinformatics tools developed for microarrays can be reused in proteomics, however, the uniquely quantitative nature of proteomics data also offers entirely novel analysis possibilities, which directly suggest and illuminate biological mechanisms.     

Recent advances in quantitative and chemical proteomics for autophagy studies

Macroautophagy/autophagy is an evolutionarily well-conserved cellular degradative process with important biological functions that is closely implicated in health and disease. In recent years, quantitative mass spectrometry-based proteomics and chemical proteomics have emerged as important tools for the study of autophagy, through large-scale unbiased analysis of the proteome or through highly specific and accurate analysis of individual proteins of interest. At present, a variety of approaches have been successfully applied, including (i) expression and interaction proteomics for the study of protein post-translational modifications, (ii) investigating spatio-temporal dynamics of protein synthesis and degradation, and (iii) direct determination of protein activity and profiling molecular targets in the autophagic process. In this review, we attempted to provide an overview of principles and techniques relevant to the application of quantitative and chemical proteomics methods to autophagy, and outline the current landscape as well as future outlook of these methods in autophagy research.     

Uncovering early markers of cardiac disease by proteomics: avoiding (heart) failure!

Histone post-translational modifications (PTMs) comprise one of the most intricate nuclear signaling networks that govern gene expression in a long-term and dynamic fashion. These PTMs are considered to be ‘epigenetic’ or heritable from one cell generation to the next and help establish genomic expression patterns. While much of the analyses of histones have historically been performed using site-specific antibodies, these methods are replete with technical obstacles (i.e., cross-reactivity and epitope occlusion). Mass spectrometry-based proteomics has begun to play a significant role in the interrogation of histone PTMs, revealing many new aspects of these modifications that cannot be easily determined with standard biological approaches. Here, we review the accomplishments of mass spectrometry in the histone field, and outline the future roadblocks that must be overcome for mass spectrometry-based proteomics to become the method of choice for chromatin biologists.     

翻译后修饰蛋白质组学研究的技术策略

 蛋白质组学早期研究的绝大部分工作是在关注细胞不同生长时期或是疾病、分裂素刺激下的蛋白质表达水平变化.然而,许多至关重要的生命进程不仅由蛋白质的相对丰度控制,更重要的是被那些时空特异分布的可逆翻译后修饰控制的,揭示翻译后修饰发生规律是理解蛋白质复杂多样的生物功能的一个重要前提.由于翻译后修饰蛋白质在样本中含量低且动态范围广,其相关研究极具挑战性,亲和富集、多维分离等技术与生物质谱的结合为翻译后修饰蛋白质组学的发展提供了契机,目前,已进行规模化研究的蛋白质翻译后修饰主要有四大类,其中磷酸化和糖基化研究较多.本文针对大规模翻译后的修饰蛋白质的分析策略和技术路线,如蛋白质的磷酸化修饰, 糖基化修饰, 泛素化修饰,基于蛋白质氧化还原状态进行的氧化还原修饰和其它修饰像乙酰化、甲基化、脂基化修饰等进行了综述.     

ABRF-PRG03: Phosphorylation Site Determination

A fundamental aspect of proteomics is the analysis of post-translational modifications, of which phosphorylation is an important class. Numerous nonradioactivity-based methods have been described for high-sensitivity phosphorylation site mapping. The ABRF Proteomics Research Group has conducted a study to help determine how many laboratories are equipped to take on such projects, which methods they choose to apply, and how successful the laboratories are in implementing particular methodologies. The ABRF-PRG03 sample was distributed as a tryptic digest of a mixture of two proteins with two synthetic phosphopeptides added. Each sample contained 5 pmol of unphosphorylated protein digest, 1 pmol of each phosphopeptide from the same protein, and 200 fmol of a minor protein component. Study participants were challenged to identify the two proteins and the two phosphorylated peptides, and determine the site of phosphorylation in each peptide. Almost all respondents successfully identified the major protein component, whereas only 10% identified the minor protein component. Phosphorylation site analysis proved surprisingly difficult, with only 3 of the 54 laboratories correctly determining both sites of phosphorylation. Various strategies and instruments were applied to this task with mixed success; chromatographic separation of the peptides was clearly helpful, whereas enrichment by metal affinity chromatography met with surprisingly little success. We conclude that locating sites of phosphorylation remains a significant challenge at this level of sample abundance.     

Identification of SUMO Targets by a Novel Proteomic Approach in Plants

Post-translational modifications (PTMs) chemically and physically alter the properties of proteins, including their folding, subcellular localization, stability, activity, and consequently their function. In spite of their relevance, studies on PTMs in plants are still limited. Small Ubiquitin-like Modifier (SUMO) modification regulates several biological processes by affecting protein-protein interactions, or changing the subcellular localizations of the target proteins. Here, we describe a novel proteomic approach to identify SUMO targets that combines 2-D liquid chromatography, immunodetection, and mass spectrometry (MS) analyses. We have applied this approach to identify nuclear SUMO targets in response to heat shock. Using a bacterial SUMOylation system, we validated that some of the targets identified here are, in fact, labeled with SUMO1. Interestingly, we found that GIGANTEA (GI), a photoperiodic-pathway protein, is modified with SUMO in response to heat shock both in vitro and in vivo.     

Middle-down proteomics: a still unexploited resource for chromatin biology

Introduction: Analysis of histone post-translational modifications (PTMs) by mass spectrometry (MS) has become a fundamental tool for the characterization of chromatin composition and dynamics. Histone PTMs benchmark several biological states of chromatin, including regions of active enhancers, active/repressed gene promoters and damaged DNA. These complex regulatory mechanisms are often defined by combinatorial histone PTMs; for instance, active enhancers are commonly occupied by both marks H3K4me1 and H3K27ac. The traditional bottom-up MS strategy identifies and quantifies short (aa 4–20) tryptic peptides, and it is thus not suitable for the characterization of combinatorial PTMs.

Areas covered: Here, we review the advancement of the middle-down MS strategy applied to histones, which consists in the analysis of intact histone N-terminal tails (aa 50–60). Middle-down MS has reached sufficient robustness and reliability, and it is far less technically challenging than PTM quantification on intact histones (top-down). However, the very few chromatin biology studies applying middle-down MS resulting from PubMed searches indicate that it is still very scarcely exploited, potentially due to the apparent high complexity of method and analysis.

Expert commentary: We will discuss the state-of-the-art workflow and examples of existing studies, aiming to highlight its potential and feasibility for studies of cell biologists interested in chromatin and epigenetics.     

ABRF-PRG05: De Novo Peptide Sequence Determination

A common request of proteomics core facilities is protein identification. However, in some instances primary sequence information for the protein in question is not present in public databases. In other cases, the amino acid sequence of a protein may differ in some way from the sequence predicted from the gene sequence in a database as a result of gene mutation, gene splicing, and/or multiple posttranslational modifications. Thus, it may be necessary to determine the sequence of one or more peptides de novo in order to identify and/or adequately characterize the protein of interest. The primary goal of this study was to give participating laboratories an opportunity to evaluate their proficiency in sequencing unknown peptides that are not included in any published database. Samples containing 3–6 pmol each of five synthetic peptides with amino acid sequences that were not present in public databases were sent to 106 laboratories. One nonstandard amino acid was present in one of the peptides. From a comparison of the results obtained by different strategies, participating laboratories will be able to gauge their own capabilities and establish realistic expectations for the approaches that can be used for this determination.     

Novel asymmetrically localizing components of human centrosomes identified by complementary proteomics methods

Centrosomes in animal cells are dynamic organelles with a proteinaceous matrix of pericentriolar material assembled around a pair of centrioles. They organize the microtubule cytoskeleton and the mitotic spindle apparatus. Mature centrioles are essential for biogenesis of primary cilia that mediate key signalling events. Despite recent advances, the molecular basis for the plethora of processes coordinated by centrosomes is not fully understood. We have combined protein identification and localization, using PCP-SILAC mass spectrometry, BAC transgeneOmics, and antibodies to define the constituents of human centrosomes. From a background of non-specific proteins, we distinguished 126 known and 40 candidate centrosomal proteins, of which 22 were confirmed as novel components. An antibody screen covering 4000 genes revealed an additional 113 candidates. We illustrate the power of our methods by identifying a novel set of five proteins preferentially associated with mother or daughter centrioles, comprising genes implicated in cell polarity. Pulsed labelling demonstrates a remarkable variation in the stability of centrosomal protein complexes. These spatiotemporal proteomics data provide leads to the further functional characterization of centrosomal proteins.