TiSH - a robust and sensitive global phosphoproteomics strategy employing a combination of TiO(2), SIMAC, and HILIC

Large scale quantitative phosphoproteomics depends upon multidimensional strategies for peptide fractionation, phosphopeptide enrichment, and mass spectrometric analysis. Previously, most robust comprehensive large-scale phosphoproteomics strategies have relied on milligram amounts of protein. We have set up a multi-dimensional phosphoproteomics strategy combining a number of well-established enrichment and fraction methods: An initial TiO(2) phosphopeptide pre-enrichment step is followed by post-fractionation using sequential elution from IMAC (SIMAC) to separate multi- and mono-phosphorylated peptides, and hydrophilic interaction liquid chromatography (HILIC) of the mono-phosphorylated peptides (collectively abbreviated "TiSH"). The advantages of the strategy include a high specificity and sample preparation workload reduction due to the TiO(2) pre-enrichment step, as well as low adsorptive losses. We demonstrate the capability of this strategy by quantitative investigation of early interferon-γ signaling in low quantities of insulinoma cells. We identified ~6600 unique phosphopeptides from 300μg of peptides/condition (22 unique phosphopeptides/μg) in a duplex dimethyl labeling experiment, with an enrichment specificity>94%. When doing network analysis of putative phosphorylation changes it could be noted that the identified protein interaction network centered upon proteins known to be affected by the interferon-γ pathway, thereby supporting the utility of this global phosphoproteomics strategy. This strategy thus shows great potential for interrogating signaling networks from low amounts of sample with high sensitivity and specificity.     

Proteomic approaches for the global analysis of proteins

Improvements in technology that allow miniaturization and high-throughput analyses of thousand of genes and gene products have changed the focus and scope of research and development in both academia and industry. It is now possible to study entire proteomes with the goals of elucidating protein expression, subcellular localization, biochemical activities, and their regulation. Alterations in different cell types and conditions and in normal and disease states can be revealed. This wealth of information not only has facilitated our basic understanding of many biological processes but also has enormous potential for drug discovery and development.     

The methylome: approaches for global DNA methylation profiling

DNA methylation plays a critical role in genome function both in health and disease. Almost 60 years after the discovery of 5-methyl cytosine and approximately 25 years since the discovery that altered DNA methylation plays a role in disease, the first high-resolution DNA methylation profile (or methylome) of any genome--Arabidopsis thaliana--was determined. Although only approximately 20% of the typical size of mammalian genomes, this milestone demonstrated that the methylomes of the human and similarly large genomes are now within reach. Here, we review current and emerging technologies that hold promise to deliver the first mammalian methylome and to facilitate comprehensive profiling of essentially any cell type in the context of development, disease and the environment.     

Comparison of mixed-model approaches for association mapping

Association-mapping methods promise to overcome the limitations of linkage-mapping methods. The main objectives of this study were to (i) evaluate various methods for association mapping in the autogamous species wheat using an empirical data set, (ii) determine a marker-based kinship matrix using a restricted maximum-likelihood (REML) estimate of the probability of two alleles at the same locus being identical in state but not identical by descent, and (iii) compare the results of association-mapping approaches based on adjusted entry means (two-step approaches) with the results of approaches in which the phenotypic data analysis and the association analysis were performed in one step (one-step approaches). On the basis of the phenotypic and genotypic data of 303 soft winter wheat (Triticum aestivum L.) inbreds, various association-mapping methods were evaluated. Spearman's rank correlation between P-values calculated on the basis of one- and two-stage association-mapping methods ranged from 0.63 to 0.93. The mixed-model association-mapping approaches using a kinship matrix estimated by REML are more appropriate for association mapping than the recently proposed QK method with respect to (i) the adherence to the nominal alpha-level and (ii) the adjusted power for detection of quantitative trait loci. Furthermore, we showed that our data set could be analyzed by using two-step approaches of the proposed association-mapping method without substantially increasing the empirical type I error rate in comparison to the corresponding one-step approaches.     

Advances in phosphopeptide enrichment techniques for phosphoproteomics

Phosphoproteomics is increasingly used to address a wide range of biological questions. However, despite some success, techniques for phosphoproteomics are not without challenges. Phosphoproteins are present in cells in low abundance relative to their unphosphorylated counterparts; therefore phosphorylated proteins (or phosphopeptides after protein digestion) are rarely detected in standard shotgun proteomics experiments. Thus, extraction of phosphorylated polypeptides from complex mixtures is a critical step in the success of phosphoproteomics experiments. Intense research over the last decade has resulted in the development of powerful techniques for phosphopeptide enrichment prior to analysis by mass spectrometry. Here, we review how the development of IMAC, MOAC, chemical derivatization and antibody affinity purification and chromatography is contributing to the evolution of phosphoproteomics techniques. Although further developments are needed for the technology to reach maturity, current state-of-the-art techniques can already be used as powerful tools for biological research.     

Analytical strategies for shotgun phosphoproteomics: Status and prospects

New analytical strategies for phosphoproteomics, both experimental and computational, have been rapidly introduced in recent years, leading to novel biological findings on the role of protein phosphorylation, which have in turn stimulated further development of the analytical techniques. In this review, we describe the development of analytical strategies for LC–MS/MS-based phosphoproteomics, focusing particularly on recent progress in phosphopeptide enrichment, LC–MS/MS measurement and the subsequent computational analysis. High-coverage analysis of the phosphoproteome has largely been achieved by combining pre-fractionation methods with multiple phosphopeptide enrichment approaches, at some cost in LC–MS/MS measurement time and increased sample loss. Key points for the future will be to further increase the selectivity and the recovery of enrichment methods to achieve higher sensitivity and efficiency in LC–MS/MS analysis in order to detect protein phosphorylation comprehensively, including low-abundance proteins. This is expected to lead to a more detailed understanding of the mechanisms and interactions of phosphorylation-mediated regulatory pathways in biological systems.     

Soluble nanopolymer-based phosphoproteomics for studying protein phosphatase

Protein phosphorylation is a vital reversible post-translational modification that regulates protein-protein interactions, enzymatic activity, subcellular localization, complex formation and protein stability. The emerging field of mass spectrometry-based proteomics allows us to investigate phosphorylation and dephosphorylation on a global scale. In this review, we describe a new strategy based on soluble nanopolymers that have been used to selectively isolate phosphopeptides for mass spectrometric analysis. Functionalized soluble nanopolymers provide a homogeneous environment and linear reaction kinetics for chemical derivatization to isolate phosphopeptides with high specificity. Combined with phosphatase inhibitors and stable isotopic labeling, the approach has the capability of quantitatively measuring phosphorylation and dephosphorylation on individual sites. We provide experimental details for the approach and describe some other complementary techniques that can be used.     

Sample preparation and analytical strategies for large-scale phosphoproteomics experiments

Reversible protein phosphorylation is an important post-translational modification that controls a wide range of protein functions including enzyme activity, subcellular localisation, protein degradation, intra- and inter-molecular protein interactions. Significant advances in both phosphopeptide enrichment methods and sensitive mass spectrometry instrumentation have been achieved over the past decade to facilitate the large-scale identification of protein phosphorylation in humans and different animal and microbial model systems. While mass spectrometry provides the ability to identify thousands of phosphorylation sites in a single experiment, the further understanding of the functional significance of this modification on protein substrates requires detailed information on the changes in phosphorylation stoichiometry and protein abundance across experimental paradigms. This review presents different sample preparation methods and analytical strategies used in mass spectrometry-based phosphoproteomics to profile protein phosphorylation and unravel the regulation of this modification on protein function.     

Proteomics and phosphoproteomics for the mapping of cellular signalling networks

Proteomics is transitioning from inventory mapping to the mapping of functional cellular contexts. This has been enabled by progress in technologies as well as conceptual strategies. Here, we review recent advances in this area with focus on cellular signalling pathways. We discuss genetics-based methods such as yeast two hybrid methods as well as biochemistry-based methods such as two-dimensional gel electrophoresis, quantitative proteomics, interaction proteomics, and phosphoproteomics. A central tenet is that by its ability to capture dynamic changes in protein expression, localisation and modification modern proteomics has become a powerful tool to map signal transduction pathways and deliver the functional information that will promote insights in cell biology and systems biology.     

Quantitative phosphoproteomics by mass spectrometry: past, present, and future

Protein phosphorylation-mediated signaling networks regulate much of the cellular response to external stimuli, and dysregulation in these networks has been linked to multiple disease states. Significant advancements have been made over the past decade to enable the analysis and quantification of cellular protein phosphorylation events, but comprehensive analysis of the phosphoproteome is still lacking, as is the ability to monitor signaling at the network level while comprehending the biological implications of each phosphorylation site. In this review we highlight many of the technological advances over the past decade and describe some of the latest applications of these tools to uncover signaling networks in a variety of biological settings. We finish with a concise discussion of the future of the field, including additional advances that are required to link protein phosphorylation analysis with biological insight.     

Global phosphoproteomics pinpoints uncharted Gcn2-mediated mechanisms of translational control

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组氨酸磷酸化修饰的鉴定方法及应用

蛋白质磷酸化是广受关注的翻译后修饰类型之一,组氨酸磷酸化作为一种非常见的磷酸化修饰,最早被发现在细菌和低等真核生物信号传导的级联反应中起关键作用.近年来研究显示,其在肿瘤发生发展过程中也可能扮演了重要角色.由于磷酸化组氨酸的化学不稳定性、低丰度、亚化学计量性质、缺乏特异性的富集试剂,导致研究手段缺乏,限制了人们对磷酸化...     

Comparison of variable selection approaches for dynamic treatment regimes

In estimating optimal adaptive treatment strategies, the tailor treatment variables used for patient profiles are typically hand-picked by experts. However these variables may not yield an estimated optimal dynamic regime that is close to the optimal regime which uses all variables. The question of selecting tailoring variables has not yet been answered satisfactorily, though promising new approaches have been proposed. We compare the use of reducts--a variable selection tool from computer sciences--to the S-score criterion proposed by Gunter and colleagues in 2007 for suggesting collections of useful variables for treatment regime tailoring. Although the reducts-based approach promised several advantages such as the ability to account for correlation among tailoring variables, it proved to have several undesirable properties. The S-score performed better, though it too exhibited some disappointing qualities.     

Comparison of different camera calibration approaches for underwater applications

The purpose of this study was to compare three camera calibration approaches applied to underwater applications: (1) static control points with nonlinear DLT; (2) moving wand with nonlinear camera model and bundle adjustment; (3) moving plate with nonlinear camera model. The DVideo kinematic analysis system was used for underwater data acquisition. The system consisted of two gen-locked Basler cameras working at 100 Hz, with wide angle lenses that were enclosed in housings. The accuracy of the methods was compared in a dynamic rigid bar test (acquisition volume-4.5×1×1.5 m(3)). The mean absolute errors were 6.19 mm for the nonlinear DLT, 1.16 mm for the wand calibration, 1.20 mm for the 2D plate calibration using 8 control points and 0.73 mm for the 2D plane calibration using 16 control points. The results of the wand and 2D plate camera calibration methods were less associated to the rigid body position in the working volume and provided better accuracy than the nonlinear DLT. Wand and 2D plate camera calibration methods presented similar and highly accurate results, being alternatives for underwater 3D motion analysis.     

Highly robust, automated, and sensitive online TiO2-based phosphoproteomics applied to study endogenous phosphorylation in Drosophila melanogaster

Reversible protein phosphorylation ranks among the most important post-translational modifications, and elucidation of phosphorylation sites is essential to understand the regulation of key cellular processes such as signal transduction. Enrichment of phosphorylated peptides is a prerequisite for successful analysis due to their low stoichiometry, heterogeneity, and low abundance. Enrichment is often performed manually, which is inherently labor-intensive and a major hindrance in large-scale analyses. Automation of the enrichment method would vastly improve reproducibility and thereby facilitate 'high-throughput' phosphoproteomics research. Here, we describe a robust and automated online TiO 2-based two-dimensional chromatographic approach to selectively enrich phosphorylated peptides from digests of complete cellular lysates. We demonstrate method enhancement for both adsorption and desorption of phosphorylated peptides resulting in lower limits of detection. Phosphorylated peptides from a mere 500 attomole tryptic digest of a protein mixture were easily detected. With the combination of strong cation exchange chromatography with the online TiO 2 enrichment, 2152 phosphopeptides were enriched from 250 microg of protein originating for the cell lysate of Drosophila melanogaster S2 cells. This is a 4-fold improvement when compared to an enrichment strategy based solely on strong cation exchange/LC-MS. Phosphopeptide enrichment methods are intrinsically biased against relatively basic phosphopeptides. Analysis of the p I distributions of the enriched/detected phosphopeptides showed that the p I profile resembles that of a total Drosophila protein digest, revealing that the current described online procedure does not discriminate against either more acidic or basic phosphopeptides. However, careful comparison of our new and existing phosphopeptide enrichment techniques also reveal that, like many enrichment techniques, we are still far from comprehensive phosphoproteomics analyses, and we describe several factors that still require to be addressed. Still, as the online approach allows the complementary measurements of phosphopeptides and their nonphosphorylated counterparts in subsequent analyses, this method is well-suited for automated quantitative phosphoproteomics.     

Recent findings and technological advances in phosphoproteomics for cells and tissues

Site-specific phosphorylation is a fast and reversible covalent post-translational modification that is tightly regulated in cells. The cellular machinery of enzymes that write, erase and read these modifications (kinases, phosphatases and phospho-binding proteins) is frequently deregulated in different diseases, including cancer. Large-scale studies of phosphoproteins – termed phosphoproteomics – strongly rely on the use of high-performance mass spectrometric instrumentation. This powerful technology has been applied to study a great number of phosphorylation-based phenotypes. Nevertheless, many technical and biological challenges have to be overcome to identify biologically relevant phosphorylation sites in cells and tissues. This review describes different technological strategies to identify and quantify phosphorylation sites with high accuracy, without significant loss of analysis speed and reproducibility in tissues and cells. Moreover, computational tools for analysis, integration and biological interpretation of phosphorylation events are discussed.