Biophysical characterisation reveals structural disorder in the nucleolar protein, Dribble

Dribble (DBE) is an essential protein in Drosophila that belongs to the evolutionarily conserved Krr1p protein family. Proteins in this family are localised in the cell nucleolus and are important for the processing of ribosomal RNAs. However, little is known about their structural and biophysical properties. We have expressed and purified full-length DBE protein from Escherichia coli. Consistent with the native role of DBE in RNA processing, recombinant DBE was shown to bind RNA homo-polymers in vitro. By bioinformatics, size-exclusion chromatography, equilibrium sedimentation analysis, controlled proteolysis, and a variety of spectroscopic techniques, we have found that DBE is a monomeric protein in solution containing both alpha- and beta-structures. Moreover, the structure of DBE is expanded and significantly disordered (approximately 45% disordered). Natively disordered proteins are thought to provide a disproportionately large surface area and structural plasticity for nucleic acid binding. We therefore propose that the presence of structural disorder is an important feature of DBE that facilitates the protein to interact with RNAs in the nucleolus.     

Computational analysis of position-dependent disorder content in DisProt database

A bioinformatics analysis of disorder content of proteins from the DisProt database has been performed with respect to position of disordered residues.Each protein chain was divided into three parts:N-and C-terminal parts with each containing 30 amino acid(AA) residues and the middle region containing the remaining AA residues.The results show that in terminal parts,the percentage of disordered AA residues is higher than that of all AA residues(17% of disordered AA residues and 11% of all).We analyzed the percentage of disorder for each of 20 AA residues in the three parts of proteins with respect to their hydropathy and molecular weight.For each AA,the percentage of disorder in the middle part is lower than that in terminal parts which is comparable at the two termini.A new scale of AAs has been introduced according to their disorder content in the middle part of proteins:CIFWMLYHRNVTAGQDSKEP.All big hydrophobic AAs are less frequently disordered,while almost all small hydrophilic AAs are more frequently disordered.The results obtained may be useful for construction and improving predictors for protein disorder.     

SECIS-binding protein 2, a key player in selenoprotein synthesis,is an intrinsically disordered protein

Selenocysteine (Sec) is co-translationally incorporated into selenoproteins at a reprogrammed UGA codon. In mammals, this requires a dedicated machinery comprising a stem-loop structure in the 3′ UTR RNA (the SECIS element) and the specific SECIS Binding Protein 2. In this report, disorder-prediction methods and several biophysical techniques showed that ca. 70% of the SBP2 sequence is disordered, whereas the RNA binding domain appears to be folded and functional. These results are consistent with a recent report on the role of the Hsp90 chaperone for the folding of SBP2 and other functionally unrelated proteins bearing an RNA binding domain homologous to SBP2.     

Folded-unfolded cross-predictions and protein evolution: The case study of coiled-coils

Here we report a thorough analysis of cross-predictions between coiled-coil and disordered protein segments using various prediction algorithms for both sequence classes. Coiled-coils are often predicted to be unstructured, consistent with their obligate multimeric nature, whereas reverse cross-predictions are rare due to the regularity of coiled-coil sequences. We propose the simultaneous use of the programs Coils and IUPred to achieve acceptable prediction accuracy and minimize the extent of cross-predictions. The relevance of observed cross-predictions might be that disordered sequences can adopt coiled-coil conformation relatively easily during protein evolution.     

NMR characterization of intramolecular interaction of osteopontin, an intrinsically disordered protein with cryptic integrin-binding motifs

Osteopontin (OPN) is an integrin-binding protein found in a variety of tissues and physiological fluids and is involved in divergent biological processes such as migration, adhesion and signaling in integrin-independent as well as dependent manners. The adhesive activity of this protein is modulated upon cleavage by thrombin at the central part of the molecule, in the vicinity of the integrin-binding sequences. Although detailed structural characterization is crucial for further understanding of the regulatory mechanisms of the OPN functions, its intrinsically disordered property hampers in-depth conformational analyses. Here we report an NMR study of mouse OPN and its N-terminal thrombin-cleavage product to characterize intramolecular interaction of this molecule. Paramagnetic relaxation enhancement experiment revealed that OPN exhibits a long-range intramolecular interaction between the N- and C-terminal regions. Furthermore, our NMR data showed that anti-OPN antibody OPN1.2, whose reactivity is impaired by deletion or amino acid substitutions of the arginine-aspartate-glycine integrin-binding motif, binds the N-terminal side of the integrin-binding motifs suggesting the existence of intramolecular interaction. These data suggest that functional interactions of OPN with integrins and the other binding partners can be modulated by the intramolecular interactions.     

Segmental isotope-labeling of the intrinsically disordered protein PQBP1

Polyglutamine tract-binding protein 1 (PQBP1) is an intrinsically disordered protein abundantly expressed in the brain. Mutations in the PQBP1 gene are causative for X-linked mental retardation disorders. Here, we investigated the structure of the C-terminal segment within the context of full-length PQBP1. We produced a segmentally isotope-labeled PQBP1 composed of a non-labeled segment (residues 1–219; N-segment) and a ¹³C/¹⁵N-labeled segment (residues 220–265; C-segment). Our results demonstrate that the segmental isotope-labeling combined with NMR spectroscopy is useful for detecting a very weak intra-molecular interaction in an intrinsically disordered protein.     

Project management system for structural and functional proteomics: Sesame

A computing infrastructure (Sesame) has been designed to manage and link individual steps in complex projects. Sesame is being developed to support a large-scale structural proteomics pilot project. When complete, the system is expected to manage all steps from target selection to data-bank deposition and report writing. We report here on the design criteria of the Sesame system and on results demonstrating successful achievement of the basic goals of its architecture. The Sesame software package, which follows the client/server paradigm, consists of a framework, which supports secure interactions among the three tiers of the system (the client, server, and database tiers), and application modules that carry out specific tasks. The framework utilizes industry standards. The client tier is written in Java2 and can be accessed anywhere through the Internet. All the development on the server tier is also carried out in Java2 so as to accommodate a wide variety of computer platforms. The database tier employs a commercial database management system. Each Sesame application module consists of a simple user interface in the client tier, corresponding objects in the server tier, and relevant data stored in the centralized database. For security, access to stored data is controlled by access privileges. The system facilitates both local and remote collaborations. Because users interact with the system using Java Web Start or through a web browser, access is limited only by the availability of an Internet connection. We describe several Sesame modules that have been developed to the point where they are being utilized routinely to support steps involved in structural and functional proteomics. This software is available to parties interested in using it and assisting to guide its further development.Deceased, 30 August 2000     

How phosphorylation activates the protein phosphatase-1 • inhibitor-2 complex

Phosphorylation regulates activity of many proteins; however, atomic level details are known for very few examples. Inhibitor-2 (I2) squelches the ubiquitous protein phosphatase-1 (PP1) enzyme activity by blocking access to the metal-containing active site. I2 Thr74 phosphorylation results in PP1 activation without I2 dissociation from the PP1–I2 complex. The dynamic disordered structure of the 73-residue segment of I2 containing Thr74, prevented visualization by X-ray crystallography of PP1–I2. In this work, I generated structures of this segment using simulated annealing to NMR restraints, fused them to the crystallographic PP1–I2 coordinates, and used molecular dynamics to study the impact of Thr74 phosphorylation on structural alterations leading to PP1 activation. Frequencies of I2 Tyr149 displacement from the PP1 active site, rotation of the phenolic Tyr149 side chain to prevent its reinsertion, and repositioning the I2 inhibitory helix to expose the PP1 active site to solvent and substrates significantly increased upon I2 Thr74 phosphorylation. After these steps, a second metal bound to produce PP1–Mn₂–I2, which held the phosphorylated form of I2 to its active site less tightly than it held dephosphorylated I2. I2 Thr74 lies on the edge of variable dynamic communities of residues where it forms various allosteric pathways that induce motions at the PP1 active site 20 Å away. These molecular dynamics simulations show how an unstructured region of I2 can harness enhanced rapid movements around phosphorylated Thr74 to pry I2 residues away from the PP1 active site in early steps of PP1–I2 activation.     

Capturing protein communities by structural proteomics in a thermophilic eukaryote

The arrangement of proteins into complexes is a key organizational principle for many cellular functions. Although the topology of many complexes has been systematically analyzed in isolation, their molecular sociology in situ remains elusive. Here, we show that crude cellular extracts of a eukaryotic thermophile, Chaetomium thermophilum, retain basic principles of cellular organization. Using a structural proteomics approach, we simultaneously characterized the abundance, interactions, and structure of a third of the C. thermophilum proteome within these extracts. We identified 27 distinct protein communities that include 108 interconnected complexes, which dynamically associate with each other and functionally benefit from being in close proximity in the cell. Furthermore, we investigated the structure of fatty acid synthase within these extracts by cryoEM and this revealed multiple, flexible states of the enzyme in adaptation to its association with other complexes, thus exemplifying the need for in situ studies. As the components of the captured protein communities are known—at both the protein and complex levels—this study constitutes another step forward toward a molecular understanding of subcellular organization.     

Separating full-length protein from aggregating proteolytic products using filter flow-through purification

Separation of full-length protein from proteolytic products is challenging, since the properties used to isolate the protein can also be present in proteolytic products. Many separation techniques risk non-specific protein adhesion and/or require a lot of time, enabling continued proteolysis and aggregation after lysis. We demonstrate that proteolytic products aggregate for two different proteins. As a result, full-length protein can be rapidly separated from these fragments by filter flow-through purification, resulting in a substantial protein purity enhancement. This rapid approach is likely to be useful for intrinsically disordered proteins, whose repetitive sequence composition and flexible nature can facilitate aggregation.     

A robust purification strategy to accelerate membrane proteomics

The preparation of large quantities of purified membrane proteins for structural studies presents significant difficulties. Central among these are the frequent toxicity associated with over-expressing membrane targets and the difficulty associated with identifying the appropriate detergents for their solubilization and purification. To begin addressing these challenges, and lay the groundwork for membrane structural genomics efforts, we have developed a robust strategy for the expression and purification of large numbers of prokaryotic membrane proteins. Our approach rapidly identifies highly expressed targets and greatly simplifies their solubilization and purification. In this review, specific, hands-on protocols are provided for the expression and purification of CorA magnesium transporters. These methods form the basis for the expression and purification of many other membrane proteins, as discussed.     

Insights into the biology of Escherichia coli through structural proteomics

Escherichia coli has historically been an important organism for understanding a multitude of biological processes, and represents a model system as we attempt to simulate the workings of living cells. Many E. coli strains are also important human and animal pathogens for which new therapeutic strategies are required. For both reasons, a more complete and comprehensive understanding of the protein structure complement of E. coli is needed at the genome level. Here, we provide examples of insights into the mechanism and function of bacterial proteins that we have gained through the Bacterial Structural Genomics Initiative (BSGI), focused on medium-throughput structure determination of proteins from E. coli. We describe the structural characterization of several enzymes from the histidine biosynthetic pathway, the structures of three pseudouridine synthases, enzymes that synthesize one of the most abundant modified bases in RNA, as well as the combined use of protein structure and focused functional analysis to decipher functions for hypothetical proteins. Together, these results illustrate the power of structural genomics to contribute to a deeper biological understanding of bacterial processes.     

Major depressive disorder: insight into candidate cerebrospinal fluid protein biomarkers from proteomics studies

Introduction: Major Depressive Disorder (MDD) is the leading cause of global disability, and an increasing body of literature suggests different cerebrospinal fluid (CSF) proteins as biomarkers of MDD. The aim of this review is to summarize the suggested CSF biomarkers and to analyze the MDD proteomics studies of CSF and brain tissues for promising biomarker candidates.

Areas covered: The review includes the human studies found by a PubMed search using the following terms: ‘depression cerebrospinal fluid biomarker’, ‘major depression biomarker CSF’, ‘depression CSF biomarker’, ‘proteomics depression’, ‘proteomics biomarkers in depression’, ‘proteomics CSF biomarker in depression’, and ‘major depressive disorder CSF’. The literature analysis highlights promising biomarker candidates and demonstrates conflicting results on others. It reveals 42 differentially regulated proteins in MDD that were identified in more than one proteomics study. It discusses the diagnostic potential of the biomarker candidates and their association with the suggested pathologies.

Expert commentary: One ultimate goal of finding biomarkers for MDD is to improve the diagnostic accuracy to achieve better treatment outcomes; due to the heterogeneous nature of MDD, using bio-signatures could be a good strategy to differentiate MDD from other neuropsychiatric disorders. Notably, further validation studies of the suggested biomarkers are still needed.     

Resilience of death: intrinsic disorder in proteins involved in the programmed cell death

It is recognized now that intrinsically disordered proteins (IDPs), which do not have unique 3D structures as a whole or in noticeable parts, constitute a significant fraction of any given proteome. IDPs are characterized by an astonishing structural and functional diversity that defines their ability to be universal regulators of various cellular pathways. Programmed cell death (PCD) is one of the most intricate cellular processes where the cell uses specialized cellular machinery and intracellular programs to kill itself. This cell-suicide mechanism enables metazoans to control cell numbers and to eliminate cells that threaten the animal''s survival. PCD includes several specific modules, such as apoptosis, autophagy, and programmed necrosis (necroptosis). These modules are not only tightly regulated but also intimately interconnected and are jointly controlled via a complex set of protein–protein interactions. To understand the role of the intrinsic disorder in controlling and regulating the PCD, several large sets of PCD-related proteins across 28 species were analyzed using a wide array of modern bioinformatics tools. This study indicates that the intrinsic disorder phenomenon has to be taken into consideration to generate a complete picture of the interconnected processes, pathways, and modules that determine the essence of the PCD. We demonstrate that proteins involved in regulation and execution of PCD possess substantial amount of intrinsic disorder. We annotate functional roles of disorder across and within apoptosis, autophagy, and necroptosis processes. Disordered regions are shown to be implemented in a number of crucial functions, such as protein–protein interactions, interactions with other partners including nucleic acids and other ligands, are enriched in post-translational modification sites, and are characterized by specific evolutionary patterns. We mapped the disorder into an integrated network of PCD pathways and into the interactomes of selected proteins that are involved in the p53-mediated apoptotic signaling pathway.     

Tangible benefits of the aphid Acyrthosiphon pisum genome sequencing for aphid proteomics: Enhancements in protein identification and data validation for homology-based proteomics

Homology-driven proteomics promises to reveal functional biology in insects with sparse genome sequence information. A proteomics study comparing plant virus transmission competent and refractive genotypes of the aphid Schizaphis graminum isolated numerous candidate proteins involved in virus transmission, but limited genome sequence information hampered their identification. The complete genome of the pea aphid, Acyrthosiphon pisum, released in 2008, enabled us to double the number of protein identifications beyond what was possible using available EST libraries and other insect sequences. This was concomitant with a dramatic increase of the number of MS and MS/MS peptide spectra matching the genome-derived protein sequence. LC-MS/MS proved to be the most robust method of peptide detection. Cross-matching spectral data to multiple EST sequences and error tolerant searching to identify amino acid substitutions enhanced the percent coverage of the Schizaphis graminum proteins. 2-D electrophoresis provided the protein pI and MW which enabled the refinement of the candidate protein selection and provided a measure of protein abundance when coupled to the spectral data. Thus, the homology-based proteomics pipeline for insects should include efforts to maximize the number of peptide matches to the protein to increase certainty in protein identification and relative protein abundance.