SPR-MS in functional proteomics

The mapping of protein networks and the establishment of thefunctional relationships between expressed proteins and theireffects on cellular processes represents a great challenge forfunctional or interaction proteomics. The combination of surfaceplasmon resonance (SPR)-based technology with mass spectrometry(MS) has created a unique analytical tool for functional proteomicsinvestigations. Proteins are affinity purified, quantified andcharacterised in terms of their interactions, while the massspectrometer identifies and structurally characterises the biomolecules.Recent developments have led to a closer integration of thesekey technologies, providing a combined approach which enablesidentification of proteins selected on the basis of their functionalbinding criteria. In addition to a historical overview of thisfield, some recent detailed examples of combined SPR-MS approacheswill be reviewed in a number of key application areas, includingligand fishing, peptide sequence and post-translational modificationanalysis by SPR-MS/MS and enzyme inhibitor screening.      

Intrinsic disorder in ubiquitination substrates

The ubiquitin-proteasome system is responsible for the degradation of numerous proteins in eukaryotes. Degradation is an essential process in many cellular pathways and involves the proteasome degrading a wide variety of unrelated substrates while retaining specificity in terms of its targets for destruction and avoiding unneeded proteolysis. How the proteasome achieves this task is the subject of intensive research. Many proteins are targeted for degradation by being covalently attached to a poly-ubiquitin chain. Several studies have indicated the importance of a disordered region for efficient degradation. Here, we analyze a data set of 482 in vivo ubiquitinated substrates and a subset in which ubiquitination is known to mediate degradation. We show that, in contrast to phosphorylation sites and other regulatory regions, ubiquitination sites do not tend to be located in disordered regions and that a large number of substrates are modified at structured regions. In degradation-mediated ubiquitination, there is a significant bias of ubiquitination sites to be in disordered regions; however, a significant number is still found in ordered regions. Moreover, in many cases, disordered regions are absent from ubiquitinated substrates or are located far away from the modified region. These surprising findings raise the question of how these proteins are successfully unfolded and ultimately degraded by the proteasome. They indicate that the folded domain must be perturbed by some additional factor, such as the p97 complex, or that ubiquitination may induce unfolding.     

Miniaturization in functional genomics and proteomics

Proteins are the key components of the cellular machinery responsible for processing changes that are ordered by genomic information. Analysis of most human proteins and nucleic acids is important in order to decode the complex networks that are likely to underlie many common diseases. Significant improvements in current technology are also required to dissect the regulatory processes in high-throughtput and with low cost. Miniaturization of biological assays is an important prerequisite to achieve these goals in the near future.     

Intrinsic disorder in cell-signaling and cancer-associated proteins

The number of intrinsically disordered proteins known to be involved in cell-signaling and regulation is growing rapidly. To test for a generalized involvement of intrinsic disorder in signaling and cancer, we applied a neural network predictor of natural disordered regions (PONDR VL-XT) to four protein datasets: human cancer-associated proteins (HCAP), signaling proteins (AfCS), eukaryotic proteins from SWISS-PROT (EU_SW) and non-homologous protein segments with well-defined (ordered) 3D structure (O_PDB_S25). PONDR VL-XT predicts >or=30 consecutive disordered residues for 79(+/-5)%, 66(+/-6)%, 47(+/-4)% and 13(+/-4)% of the proteins from HCAP, AfCS, EU_SW, and O_PDB_S25, respectively, indicating significantly more intrinsic disorder in cancer-associated and signaling proteins as compared to the two control sets. The disorder analysis was extended to 11 additional functionally diverse categories of human proteins from SWISS-PROT. The proteins involved in metabolism, biosynthesis, and degradation together with kinases, inhibitors, transport, G-protein coupled receptors, and membrane proteins are predicted to have at least twofold less disorder than regulatory, cancer-associated and cytoskeletal proteins. In contrast to 44.5% of the proteins from representative non-membrane categories, just 17.3% of the cancer-associated proteins had sequence alignments with structures in the Protein Data Bank covering at least 75% of their lengths. This relative lack of structural information correlated with the greater amount of predicted disorder in the HCAP dataset. A comparison of disorder predictions with the experimental structural data for a subset of the HCAP proteins indicated good agreement between prediction and observation. Our data suggest that intrinsically unstructured proteins play key roles in cell-signaling, regulation and cancer, where coupled folding and binding is a common mechanism.     

SPR技术与功能基因组和蛋白质组研究

表面等离子体共振(surface plasmon resonance,SPR)依据光学—介质相互作用原理建立,属于实时和非标记的测试方法。SPR方法在研究分子间相互作用方面具有其独特的优势,其非标记和实时检测以及可以进行动力学分析的特点,给研究生物大分子的相互作用提供了诱人的解决方案。近来,随着SPR成像技术和SPR芯片制备技术的进展,将为功能基因组学和蛋白质组学研究提供重要的新的技术平台。     

Chemical strategies for functional proteomics

With complete genome sequences now available for several prokaryotic and eukaryotic organisms, biological researchers are charged with the task of assigning molecular and cellular functions to thousands of predicted gene products. To address this problem, the field of proteomics seeks to develop and apply methods for the global analysis of protein expression and protein function. Here we review a promising new class of proteomic strategies that utilizes synthetic chemistry to create tools and assays for the characterization of protein samples of high complexity. These approaches include the development of chemical affinity tags to measure the relative expression level and post-translational modification state of proteins in cell and tissue proteomes. Additionally, we discuss the emerging field of activity-based protein profiling, which aims to synthesize and apply small molecule probes that monitor dynamics in protein function in complex proteomes.     

Intrinsic disorder in nuclear hormone receptors

Many proteins possess intrinsic disorder (ID) and lack a rigid three-dimensional structure in at least part of their sequence. ID has been hypothesized to influence protein-protein and protein-ligand interactions. We calculated ID for nearly 400 vertebrate and invertebrate members of the biomedically important nuclear hormone receptor (NHR) superfamily, including all 48 known human NHRs. The predictions correctly identified regions in 20 of the 23 NHRs suggested as disordered based on published X-ray and NMR structures. Of the four major NHR domains (N-terminal domain, DNA-binding domain, D-domain, and ligand-binding domain), we found ID to be highest in the D-domain, a region of NHRs critical in DNA recognition and heterodimerization, coactivator/corepressor interactions and protein-protein interactions. ID in the D-domain and LBD was significantly higher in "hub" human NHRs that have 10 or more downstream proteins in their interaction networks compared to "non-hub" NHRs that interact with fewer than 10 downstream proteins. ID in the D-domain and LBD was also higher in classic, ligand-activated NHRs than in orphan, ligand-independent NHRs in human. The correlation between ID in human and mouse NHRs was high. Less correlation was found for ID between mammalian and non-mammalian vertebrate NHRs. For some invertebrate species, particularly sea squirts ( Ciona), marked differences were observed in ID between invertebrate NHRs and their vertebrate orthologs. Our results indicate that variability of ID within NHRs, particularly in the D-domain and LBD, is likely an important evolutionary force in shaping protein-protein interactions and NHR function. This information enables further understanding of these therapeutic targets.     

Intrinsic disorder in S100 proteins

Although the members of the largest subfamily of the EF-hand proteins, S100 proteins, are evolutionarily young, their functional diversity is extremely broad, partly due to their ability to adapt to various targets. This feature is a hallmark of intrinsically disordered proteins (IDPs), but none of the S100 proteins are recognized as IDPs. S100 are predicted to be enriched in intrinsic disorder, with 62% of them being predicted to be disordered by at least one of the predictors: 31% are recognized as 'molten globules' and 15% are shown to be in extended disordered form. The disorder level of predicted disordered S100 regions is conserved compared to that of more structured regions. The central disordered stretch corresponds to the major part of pseudo EF-hand loop, helix II, hinge region, and an initial part of helix III. It contains about half of known sites of enzymatic post-translational modifications (PTMs), confirming that this region can be flexible in vivo. Most of the internal residues missing in tertiary structures belong to the hinge. Both hinge and pseudo EF-hand loop correspond to the local maxima of the PONDR? VSL2 score and are shown to be evolutionary hotspots, leading to gain of new functional properties. The action of PTMs is shown to be destabilizing, in contrast with the effect of metal-binding or S100 dimerization. Formation of the S100 heterodimers relies on the interplay between the structural rigidity of one of the S100 monomers and the flexibility of another monomer. The ordered regions dominate in the S100 homodimerization sites. Target-binding sites generally consist of distant regions, drastically differing in their disorder level. The disordered region comprising most of the hinge and the N-terminal half of helix III is virtually not involved into dimerization, being intended solely for target recognition. The structural flexibility of this region is essential for recognition of diverse target proteins. At least 86% of multiple interactions of S100 proteins with binding partners are attributed to the S100 proteins predicted to be disordered. Overall, the intrinsic disorder is inherent to many S100 proteins and is vital for activity and functional diversity of the family.     

Intrinsic disorder in putative protein sequences

Background

Intrinsically disordered proteins (IDPs) and regions (IDRs) perform a variety of crucial biological functions despite lacking stable tertiary structure under physiological conditions in vitro. State-of-the-art sequence-based predictors of intrinsic disorder are achieving per-residue accuracies over 80%. In a genome-wide study of intrinsic disorder in human genome we observed a big difference in predicted disorder content between confirmed and putative human proteins. We investigated a hypothesis that this discrepancy is not correct, and that it is due to incorrectly annotated parts of the putative protein sequences that exhibit some similarities to confirmed IDRs, which lead to high predicted disorder content.

Methods

To test this hypothesis we trained a predictor to discriminate sequences of real proteins from synthetic sequences that mimic errors of gene finding algorithms. We developed a procedure to create synthetic peptide sequences by translation of non-coding regions of genomic sequences and translation of coding regions with incorrect codon alignment.

Results

Application of the developed predictor to putative human protein sequences showed that they contain a substantial fraction of incorrectly assigned regions. These regions are predicted to have higher levels of disorder content than correctly assigned regions. This partially, albeit not completely, explains the observed discrepancy in predicted disorder content between confirmed and putative human proteins.

Conclusions

Our findings provide the first evidence that current practice of predicting disorder content in putative sequences should be reconsidered, as such estimates may be biased.

     

Intrinsic protein disorder in human pathways

We analyze human-specific KEGG pathways trying to understand the functional role of intrinsic disorder in proteins. Pathways provide a comprehensive picture of biological processes and allow better understanding of a protein's function within the specific context of its surroundings. Our study pinpoints a few specific pathways significantly enriched in disorder-containing proteins and identifies the role of these proteins within the framework of pathway relationships. Three major categories of relations are shown to be significantly enriched in disordered proteins: gene expression, protein binding and to a lesser degree, protein phosphorylation. Finally we find that relations involving protein activation and to some extent inhibition are characterized by low disorder content.     

Intrinsic disorder in the kinesin superfamily

Kinesin molecular motors perform a myriad of intracellular transport functions. While their mechanochemical mechanisms are well understood and well-conserved throughout the superfamily, the cargo-binding and regulatory mechanisms governing the activity of kinesins are highly diverse and, in general, incompletely characterized. Here we present evidence from bioinformatic predictions indicating that most kinesin superfamily members contain significant regions of intrinsically disordered (ID) residues. ID regions can bind to multiple partners with high specificity and are highly labile to post-translational modification and degradation signals. In kinesins, the predicted ID regions are primarily found in areas outside the motor domains, where primary sequences diverge by family, suggesting that the ID may be a critical structural element for determining the functional specificity of individual kinesins. To support this concept, we present a systematic analysis of the kinesin superfamily, family by family, for predicted ID regions. We combine this analysis with a comprehensive review of kinesin-binding partners and post-translational modifications. We find two key trends across the entire kinesin superfamily. First, ID residues tend to be in the tail regions of kinesins, opposite the superfamily-conserved motor domains. Second, predicted ID regions correlate to regions that are known to bind to cargoes and/or undergo post-translational modifications. We therefore propose that the ID residue is a structural element utilized by the kinesin superfamily in order to impart functional specificity to individual kinesins.     

Intrinsic disorder of the extracellular matrix

The extracellular matrix is very well organized at the supramolecular and tissue levels and little is known on the potential role of intrinsic disorder in promoting its organization. We predicted the amount of disorder and identified disordered regions in the human extracellular proteome with established computational tools. The extracellular proteome is significantly enriched in proteins comprising more than 50% of disorder compared to the complete human proteome. The enrichment is mostly due to long disordered regions containing at least 100 consecutive disordered residues. The amount of intrinsic disorder is heterogeneous in the extracellular protein families, with the most disordered being collagens and the small integrin-binding ligand N-linked glycoproteins. Although most domains found in extracellular proteins are structured, the fibronectin III domains contain a variable amount of disordered residues (up to 92%). Binding sites for heparin and integrins are found in disordered sequences of extracellular proteins. Intrinsic disorder is evenly distributed in hubs and ends in the interaction network of extracellular proteins with their extracellular partners. In contrast, extracellular hubs are significantly enriched in disorder in the network of extracellular proteins with their extracellular, membrane and intracellular partners. Disorder could thus provide the structural plasticity required for the hubs to interact with membrane and intracellular proteins. Organization and assembly of the extracellular matrix, development of mineralized tissues and cell-matrix adhesion are the biological processes overrepresented in the most disordered extracellular proteins. Extracellular disorder is associated with binding to growth factors, glycosaminoglycans and integrins at the molecular level.     

Nucleocytoplasmic O-glycosylation: O-GlcNAc and functional proteomics

The molecular complexity that defines different cell types and their biological responses occurs at the level of the cell's proteome. The recent increase in availability of genomic sequence information is a valuable tool for the field of proteomics. While most proteomic studies focus on differential expression levels, post-translational modifications such as phosphorylation, glycosylation, and acetylation, provide additional levels of functional complexity to the cell's proteome. The reversible post-translational modification O-linked beta-N-acetylglucosamine (O-GlcNAc) is found on serines and threonines of nuclear and cytoplasmic proteins. It appears to be as widespread as phosphorylation. While phosphorylation is recognized as a fundamental mechanism for controlling protein function, less is known about the specific roles of O-GlcNAc modification. However, evidence is building that O-GlcNAc may compete with phosphate at some sites of attachment. Aberrant O-GlcNAc modification has been linked to several disease states, including diabetes and Alzheimer's disease. Regulated enzymes catalyzing the addition (O-GlcNAc transferase, OGT) and removal (O-GlcNAcase) of the modification have been cloned and OGT is required for life at the single cell level. Here we review the properties of O-GlcNAc that suggest it is a regulatory modification analogous to phosphorylation. We also discuss the use of comparative functional proteomics to elucidate functions for this ubiquitous intracellular carbohydrate modification.     

Fluorescence and bioluminescence procedures for functional proteomics

This review aims to provide an overview of current optical procedures used in functional proteomics, investigating protein localization, protein-protein interaction, intracellular signaling events, and second messenger generation in living cells. Reporter assays using proteins tagged with fluorescent or bioluminescent moieties are discussed. Recently, intracellular biosensor assays, flow cytometry-based techniques (fluorescent cell barcoding), as well as transfected cell microarray assays involving RNA interference coupled with automated imaging were introduced and have been adopted as screening platforms for annotating small molecules, investigating signaling events, or in phenotype analysis. These novel methodological advances include improved image acquisition and processing techniques and help linking in vitro observations to in vivo processes. In addition, the acquired data are increasingly quantitative in nature and will therefore pave the way for modeling of signaling cascades and other complex cellular events, an important step toward systems biology.     

Understanding signal transduction through functional proteomics

The study of signal transduction provides fundamental information regarding the regulation of all biologic processes that support the normal function of life. Functional proteomics, a rapidly emerging discipline that aims to understand the expression, function and regulation of the entire set of proteins in a given cell type, tissue or organism, offers unprecedented opportunity for signal transduction research in terms of understanding cellular behavior and regulation at the systems level. Indeed, swift progress in the area of proteomics has demonstrated the major impact of proteomic approaches on signal transduction and biomedical research. In this review, recent and innovative applications of functional proteomics in determining changes in protein contents, modifications, activities and interactions underpinning signaling transduction pathways are discussed.     

从基因组学到功能蛋白质组学的研究

人类基因组草图绘制的完成,标志着生命科学已实质性地跨入了后基因组时代,研究重心已从揭示生命的所有遗传信息转移到在分子整体水平对功能的研究[1]。这种转向表明目前已进入功能基因组学(functional genom ics)以及随之产生的功能蛋白质组学(functional proteomics)等新学科领域的研究。