Eva Schad

The relationship between proteome size, structural disorder and organism complexity

BackgroundSequencing the genomes of the first few eukaryotes created the impression that gene number shows no correlation with organism complexity, often referred to as the G-value paradox. Several attempts have previously been made to resolve this paradox, citing multifunctionality of proteins, alternative splicing, microRNAs or non-coding DNA. As intrinsic protein disorder has been linked with complex responses to environmental stimuli and communication between cells, an additional possibility is that structural disorder may effectively increase the complexity of species.ResultsWe revisited the G-value paradox by analyzing many new proteomes whose complexity measured with their number of distinct cell types is known. We found that complexity and proteome size measured by the total number of amino acids correlate significantly and have a power function relationship. We systematically analyzed numerous other features in relation to complexity in several organisms and tissues and found: the fraction of protein structural disorder increases significantly between prokaryotes and eukaryotes but does not further increase over the course of evolution; the number of predicted binding sites in disordered regions in a proteome increases with complexity; the fraction of protein disorder, predicted binding sites, alternative splicing and protein-protein interactions all increase with the complexity of human tissues.ConclusionsWe conclude that complexity is a multi-parametric trait, determined by interaction potential, alternative splicing capacity, tissue-specific protein disorder and, above all, proteome size. The G-value paradox is only apparent when plants are grouped with metazoans, as they have a different relationship between complexity and proteome size.

Structural disorder promotes assembly of protein complexes

BackgroundThe idea that the assembly of protein complexes is linked with protein disorder has been inferred from a few large complexes, such as the viral capsid or bacterial flagellar system, only. The relationship, which suggests that larger complexes have more disorder, has never been systematically tested. The recent high-throughput analyses of protein-protein interactions and protein complexes in the cell generated data that enable to address this issue by bioinformatic means.ResultsIn this work we predicted structural disorder for both E. coli and S. cerevisiae, and correlated it with the size of complexes. Using IUPred to predict the disorder for each complex, we found a statistically significant correlation between disorder and the number of proteins assembled into complexes. The distribution of disorder has a median value of 10% in yeast for complexes of 2–4 components (6% in E. coli), but 18% for complexes in the size range of 11–100 proteins (12% in E. coli). The level of disorder as assessed for regions longer than 30 consecutive disordered residues shows an even stronger division between small and large complexes (median values about 4% for complexes of 2–4 components, but 12% for complexes of 11–100 components in yeast). The predicted correlation is also supported by experimental evidence, by observing the structural disorder in protein components of complexes that can be found in the Protein Data Bank (median values 1. 5% for complexes of 2–4 components, and 9.6% for complexes of 11–100 components in yeast). Further analysis shows that this correlation is not directly linked with the increased disorder in hub proteins, but reflects a genuine systemic property of the proteins that make up the complexes.ConclusionOverall, it is suggested and discussed that the assembly of protein-protein complexes is enabled and probably promoted by protein disorder.

A novel human small subunit of calpains

Typical calpains are heterodimeric cysteine proteases which have distinct large catalytic subunits (80 kDa) but share a common small regulatory subunit (30 kDa; css1). Here we report the identification, cloning and characterization of a novel human small subunit (css2) encoded by an intronless gene, capns2, located on chromosome 16. This new protein displays 73% sequence identity within the Ca(2+)-binding region but lacks two oligo-Gly stretches characteristic of the N-terminal domain of the conventional small subunit. css2 appears to be the functional equivalent of the conventional small subunit in vitro in that it helps the large subunit fold into the active conformation of similar Ca(2+) sensitivity when the two proteins are co-expressed in Escherichia coli. The purification of various chimaeric rat 80 kDa-human css2 constructs, on the other hand, shows that css2 binds the large subunit much more weakly than css1. Further, it does not undergo the autolytic conversion typical of the classical small subunit. The expression of this protein in vivo, as assessed from its appearance in expressed sequence tag clones, is rather limited, making it an example of a tissue-specific, rather than ubiquitous, small subunit.

Autolytic activation and localization in Schneider cells (S2) of calpain B from Drosophila.

Calpain B is one of the two calpain homologues in Drosophila melanogaster that are proteolytically active. We studied its activation by Ca2+ both in vitro and in vivo, in Schneider (S2) cells. Activation involves the autolytic cleavage, at two major sites, of the N-terminal segment, the length of which was earlier underestimated. Site-directed mutagenesis at the autolytic sites did not prevent autolysis, but only shifted its sites. Calpain B mRNA was detectable in all developmental stages of the fly. In situ hybridization and immunostaining showed expression in ovaries, embryo and larvae, with high abundance in larval salivary glands. In S2 cells, calpain B was mainly in the cytoplasm and upon a rise in Ca2+ the enzyme adhered to intracellular membranes.

Exon-phase symmetry and intrinsic structural disorder promote modular evolution in the human genome

A key signature of module exchange in the genome is phase symmetry of exons, suggestive of exon shuffling events that occurred without disrupting translation reading frame. At the protein level, intrinsic structural disorder may be another key element because disordered regions often serve as functional elements that can be effectively integrated into a protein structure. Therefore, we asked whether exon-phase symmetry in the human genome and structural disorder in the human proteome are connected, signalling such evolutionary mechanisms in the assembly of multi-exon genes. We found an elevated level of structural disorder of regions encoded by symmetric exons and a preferred symmetry of exons encoding for mostly disordered regions (>70% predicted disorder). Alternatively spliced symmetric exons tend to correspond to the most disordered regions. The genes of mostly disordered proteins (>70% predicted disorder) tend to be assembled from symmetric exons, which often arise by internal tandem duplications. Preponderance of certain types of short motifs (e.g. SH3-binding motif) and domains (e.g. high-mobility group domains) suggests that certain disordered modules have been particularly effective in exon-shuffling events. Our observations suggest that structural disorder has facilitated modular assembly of complex genes in evolution of the human genome.

MobiDB 3.0: More annotations for intrinsic disorder, conformational diversity and interactions in proteins

Abstract The MobiDB (URL: mobidb.bio.unipd.it) database of protein disorder and mobility annotations has been significantly updated and upgraded since its last major renewal in 2014. Several curated datasets for intrinsic disorder and folding upon binding have been integrated from specialized databases. The indirect evidence has also been expanded to better capture information available in the PDB, such as high temperature residues in X-ray structures and overall conformational diversity. Novel nuclear magnetic resonance chemical shift data provides an additional experimental information layer on conformational dynamics. Predictions have been expanded to provide new types of annotation on backbone rigidity, secondary structure preference and disordered binding regions. MobiDB 3.0 contains information for the complete UniProt protein set and synchronization has been improved by covering all UniParc sequences. An advanced search function allows the creation of a wide array of custom-made datasets for download and further analysis. A large amount of information and cross-links to more specialized databases are intended to make MobiDB the central resource for the scientific community working on protein intrinsic disorder and mobility.

DIBS: a repository of disordered binding sites mediating interactions with ordered proteins

Motivation Intrinsically Disordered Proteins (IDPs) mediate crucial protein‐protein interactions, most notably in signaling and regulation. As their importance is increasingly recognized, the detailed analyses of specific IDP interactions opened up new opportunities for therapeutic targeting. Yet, large scale information about IDP‐mediated interactions in structural and functional details are lacking, hindering the understanding of the mechanisms underlying this distinct binding mode. Results Here, we present DIBS, the first comprehensive, curated collection of complexes between IDPs and ordered proteins. DIBS not only describes by far the highest number of cases, it also provides the dissociation constants of their interactions, as well as the description of potential post‐translational modifications modulating the binding strength and linear motifs involved in the binding. Together with the wide range of structural and functional annotations, DIBS will provide the cornerstone for structural and functional studies of IDP complexes. Availability and implementation DIBS is freely accessible at http://dibs.enzim.ttk.mta.hu/. The DIBS application is hosted by Apache web server and was implemented in PHP. To enrich querying features and to enhance backend performance a MySQL database was also created.

Intrinsic protein disorder in histone lysine methylation

AbstractHistone lysine methyltransferases (HKMTs), catalyze mono-, di- and trimethylation of lysine residues, resulting in a regulatory pattern that controls gene expression. Their involvement in many different cellular processes and diseases makes HKMTs an intensively studied protein group, but scientific interest so far has been concentrated mostly on their catalytic domains. In this work we set out to analyze the structural heterogeneity of human HKMTs and found that many contain long intrinsically disordered regions (IDRs) that are conserved through vertebrate species. Our predictions show that these IDRs contain several linear motifs and conserved putative binding sites that harbor cancer-related SNPs. Although there are only limited data available in the literature, some of the predicted binding regions overlap with interacting segments identified experimentally. The importance of a disordered binding site is illustrated through the example of the ternary complex between MLL1, menin and LEDGF/p75. Our suggestion is that intrinsic protein disorder plays an as yet unrecognized role in epigenetic regulation, which needs to be further elucidated through structural and functional studies aimed specifically at the disordered regions of HKMTs. Reviewers: This article was reviewed by Arne Elofsson and Piotr Zielenkiewicz.

Unique Physicochemical Patterns of Residues in Protein-Protein Interfaces

Protein-protein interactions can be characterized by high-resolution structures of complexes, from which diverse features of the interfaces can be derived. For the majority of protein-protein interactions identified, however, there is no information on the structure of the complex or the interface involved in the interaction. Understanding what surface properties drive certain interactions is crucial in the functional evaluation of protein complexes. Here we show that the local patterning of the physicochemical properties of amino acids within surface patches is characteristic of interfaces. To describe this feature in a quantitative manner, we have defined a statistical potential, iPat, as a measure of surface patterning. iPat, which does not take evolutionary conservation or knowledge of the interaction partner into consideration, represents a function principally different from algorithms that consider intermolecular contacts. We assess its suitability for characterizing protein and peptide interfaces, and we demonstrate that iPat is uniquely descriptive for interfaces of proteins that undergo large conformational changes or that are involved in the binding of intrinsically disordered protein (IDP) partners. We suggest that as a stand-alone propensity or in combination with other features, iPat represents a new feature in analyzing the functional binding specificity of protein-protein interactions that has better predictive potential than other simple 1D features, such as hydrophobicity or stickiness.