The kinesin superfamily: tails of functional redundancy

Kinesin is a microtubule-based motility protein that mediates axonal transport and perhaps other intracellular movements in eukaryotic cells. Recent research has indicated that the principal component of kinesin, the kinesin heavy chain, is but one member of an extended superfamily of kinesin-like microtubule motor proteins. These proteins appear to have diverse microtubule-based motility functions--in mitosis, meiosis, vesicle transport and organelle transport. The various kinesin-like molecules may play overlapping or redundant roles in these processes.     

Functions of the Arabidopsis kinesin superfamily of microtubule-based motor proteins

Plants possess a large number of microtubule-based kinesin motor proteins. While the kinesin-2, 3, 9, and 11 families are absent from land plants, the kinesin-7 and 14 families are greatly expanded. In addition, some kinesins are specifically present only in land plants. The distinctive inventory of plant kinesins suggests that kinesins have evolved to perform specialized functions in plants. Plants assemble unique microtubule arrays during their cell cycle, including the interphase cortical microtubule array, preprophase band, anastral spindle and phragmoplast. In this review, we explore the functions of plant kinesins from a microtubule array viewpoint, focusing mainly on Arabidopsis kinesins. We emphasize the conserved and novel functions of plant kinesins in the organization and function of the different microtubule arrays.     

Analysis of the kinesin superfamily: insights into structure and function

Kinesin superfamily proteins (KIFs) are key players or 'hub' proteins in the intracellular transport system, which is essential for cellular function and morphology. The KIF superfamily is also the first large protein family in mammals whose constituents have been completely identified and confirmed both in silico and in vivo. Numerous studies have revealed the structures and functions of individual family members; however, the relationships between members or a perspective of the whole superfamily structure until recently remained elusive. Here, we present a comprehensive summary based on a large, systematic phylogenetic analysis of the kinesin superfamily. All available sequences in public databases, including genomic information from all model organisms, were analyzed to yield the most complete phylogenetic kinesin tree thus far, comprising 14 families. This comprehensive classification builds on the recently proposed standardized nomenclature for kinesins and allows systematic analysis of the structural and functional relationships within the kinesin superfamily.     

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.     

Intrinsic disorder in the human spliceosomal proteome

The spliceosome is a molecular machine that performs the excision of introns from eukaryotic pre-mRNAs. This macromolecular complex comprises in human cells five RNAs and over one hundred proteins. In recent years, many spliceosomal proteins have been found to exhibit intrinsic disorder, that is to lack stable native three-dimensional structure in solution. Building on the previous body of proteomic, structural and functional data, we have carried out a systematic bioinformatics analysis of intrinsic disorder in the proteome of the human spliceosome. We discovered that almost a half of the combined sequence of proteins abundant in the spliceosome is predicted to be intrinsically disordered, at least when the individual proteins are considered in isolation. The distribution of intrinsic order and disorder throughout the spliceosome is uneven, and is related to the various functions performed by the intrinsic disorder of the spliceosomal proteins in the complex. In particular, proteins involved in the secondary functions of the spliceosome, such as mRNA recognition, intron/exon definition and spliceosomal assembly and dynamics, are more disordered than proteins directly involved in assisting splicing catalysis. Conserved disordered regions in spliceosomal proteins are evolutionarily younger and less widespread than ordered domains of essential spliceosomal proteins at the core of the spliceosome, suggesting that disordered regions were added to a preexistent ordered functional core. Finally, the spliceosomal proteome contains a much higher amount of intrinsic disorder predicted to lack secondary structure than the proteome of the ribosome, another large RNP machine. This result agrees with the currently recognized different functions of proteins in these two complexes.     

Intrinsic disorder in the Protein Data Bank

The Protein Data Bank (PDB) is the preeminent source of protein structural information. PDB contains over 32,500 experimentally determined 3-D structures solved using X-ray crystallography or nuclear magnetic resonance spectroscopy. Intrinsically disordered regions fail to form a fixed 3-D structure under physiological conditions. In this study, we compare the amino-acid sequences of proteins whose structures are determined by X-ray crystallography with the corresponding sequences from the Swiss-Prot database. The analyzed dataset includes 16,370 structures, which represent 18,101 PDB chains and 5,434 different proteins from 910 different organisms (2,793 eukaryotic, 2,109 bacterial, 288 viral, and 244 archaeal). In this dataset, on average, each Swiss-Prot protein is represented by 7 PDB chains with 76% of the crystallized regions being represented by more than one structure. Intriguingly, the complete sequences of only approximately 7% of proteins are observed in the corresponding PDB structures, and only approximately 25% of the total dataset have >95% of their lengths observed in the corresponding PDB structures. This suggests that the vast majority of PDB proteins is shorter than their corresponding Swiss-Prot sequences and/or contain numerous residues, which are not observed in maps of electron density. To determine the prevalence of disordered regions in PDB, the residues in the Swiss-Prot sequences were grouped into four general categories, "Observed" (which correspond to structured regions), "Not observed" (regions with missing electron density, potentially disordered), "Uncharacterized," and "Ambiguous," depending on their appearance in the corresponding PDB entries. This non-redundant set of residues can be viewed as a 'fragment' or empirical domain database that contains a set of experimentally determined structured regions or domains and a set of experimentally verified disordered regions or domains. We studied the propensities and properties of residues in these four categories and analyzed their relations to the predictions of disorder using several algorithms. "Non-observed," "Ambiguous," and "Uncharacterized" regions were shown to possess the amino acid compositional biases typical of intrinsically disordered proteins. The application of four different disorder predictors (PONDR(R) VL-XT, VL3-BA, VSL1P, and IUPred) revealed that the vast majority of residues in the "Observed" dataset are ordered, and that the "Not observed" regions are mostly disordered. The "Uncharacterized" regions possess some tendency toward order, whereas the predictions for the short "Ambiguous" regions are really ambiguous. Long "Ambiguous" regions (>70 amino acid residues) are mostly predicted to be ordered, suggesting that they are likely to be "wobbly" domains. Overall, we showed that completely ordered proteins are not highly abundant in PDB and many PDB sequences have disordered regions. In fact, in the analyzed dataset approximately 10% of the PDB proteins contain regions of consecutive missing or ambiguous residues longer than 30 amino-acids and approximately 40% of the proteins possess short regions (> or =10 and < 30 amino-acid long) of missing and ambiguous residues.     

Identification of a link between the tumour suppressor APC and the kinesin superfamily

The tumour suppressor gene adenomatous polyposis coli (APC) is mutated in sporadic and familial colorectal tumours. APC is involved in the proteasome-mediated degradation of beta-catenin, through its interaction with beta-catenin, GSK-3 beta and Axin. APC also interacts with the microtubule cytoskeleton and has been localized to clusters near the distal ends of microtubules at the edges of migrating epithelial cells. Moreover, in Xenopus laevis epithelial cells, APC has been shown to move along microtubules and accumulate at their growing plus ends. However, the mechanism of APC accumulation and the nature of these APC clusters remain unknown. We show here that APC interacts with the kinesin superfamily (KIF) 3A-KIF3B proteins, microtubule plus-end-directed motor proteins, through an association with the kinesin superfamily-associated protein 3 (KAP3). The interaction of APC with KAP3 was required for its accumulation in clusters, and mutant APCs derived from cancer cells were unable to accumulate efficiently in clusters. These results suggest that APC and beta-catenin are transported along microtubules by KAP3-KIF3A-KIF3B, accumulate in the tips of membrane protrusions, and may thus regulate cell migration.     

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.     

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.     

Interaction between GADD34 and kinesin superfamily, KIF3A

GADD34 is one of a subset of proteins induced after DNA damage or cell growth arrest. To examine the function of GADD34, we used the yeast two-hybrid system to clone the protein that interacts with the murine GADD34. One cDNA clone was the C-terminal part of KIF3A gene including the tail domain. The interaction between GADD34 and KIF3A was confirmed in the NIH3T3 cells by in vivo two-hybrid analysis. We could detect that GADD34 was induced with methyl methanesulfonate; however, the mRNA induction of KIF3A was not detected.     

Intrinsic disorder and functional proteomics

The recent advances in the prediction of intrinsically disordered proteins and the use of protein disorder prediction in the fields of molecular biology and bioinformatics are reviewed here, especially with regard to protein function. First, a close look is taken at intrinsically disordered proteins and then at the methods used for their experimental characterization. Next, the major statistical properties of disordered regions are summarized, and prediction models developed thus far are described, including their numerous applications in functional proteomics. The future of the prediction of protein disorder and the future uses of such predictions in functional proteomics comprise the last section of this article.     

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.     

Intrinsic disorder within the erythrocyte binding-like proteins from Plasmodium falciparum

The ability of the malaria parasite, Plasmodium falciparum, to proliferate within the human host depends on its invasion of erythrocytes. Erythrocyte binding-like (EBL) proteins play crucial roles in the attachment of merozoites to human erythrocytes by binding to specific receptors on the cell surface. In this study, we have carried out a bioinformatics analysis of the three EBL proteins EBA-140, EBA-175 and EBA-181 and show that they contain a large amount of intrinsic disorder in particular within the RIII–V domains. The functional role of these domains has so far not been identified, although antibodies raised against these regions were shown to inhibit parasite invasion. Here, we obtain a more complete structural and dynamic view of the EBL proteins by focusing on the biophysical characterization of a smaller construct of the RIII–V regions of EBA-181 (EBA-181_945–1097). We show using a number of techniques that EBA-181_945–1097 is intrinsically disordered, and we obtain a detailed structural and dynamic characterization of the protein at atomic resolution using nuclear magnetic resonance (NMR) spectroscopy. Our results show that EBA-181_945–1097 is essentially a statistical coil with the presence of several turn motifs and does not possess transiently populated secondary structures as is common for many intrinsically disordered proteins that fold via specific, pre-formed molecular recognition elements.     

Intrinsic disorder in the androgen receptor: identification, characterisation and drugability

The androgen receptor (AR) regulates networks of genes in response to the steroid hormones testosterone and dihydrotestosterone. The receptor protein is made up of both stably folded globular domains, involved in hormone and DNA binding, and regions of intrinsic disorder, including the N-terminal domain (NTD). The AR-NTD has a modular activation function (termed AF1) and is important for gene regulation, participating in multiple protein-protein interactions. Biophysical studies have revealed that AR-NTD/AF1 has limited stable secondary structure and conforms to a 'collapsed disordered' conformation. The AR-NTD/AF1 has the propensity to adopt an α-helical conformation in response to a natural osmolyte or a co-regulatory binding partner. The AR is a key drug target in the management of advanced prostate cancer and recently a small molecule inhibitor was identified that interacts with the NTD/AF1 and impairs protein-protein interactions and recruitment of the receptor to target genes. In this review the role of intrinsic disorder in AR function is discussed along with the potential to develop new drugs that will target the structurally plastic NTD.