scholarly journals IDPpi: Protein-Protein Interaction Analyses of Human Intrinsically Disordered Proteins

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Vladimir Perovic ◽  
Neven Sumonja ◽  
Lindsey A. Marsh ◽  
Sandro Radovanovic ◽  
Milan Vukicevic ◽  
...  
2020 ◽  
pp. jbc.REV120.012928
Author(s):  
Katrine Bugge ◽  
Lasse Staby ◽  
Edoardo Salladini ◽  
Rasmus G. Falbe-Hansen ◽  
Birthe B. Kragelund ◽  
...  

Hub proteins are central nodes in protein–protein interaction networks with critical importance to all living organisms. Recently, a new group of folded hub domains, the αα-hubs, was defined based on a shared αα-hairpin super-secondary structural foundation. The members PAH, RST, TAFH, NCBD and HHD are found in large proteins such as Sin3, RCD1, TAF4, CBP and harmonin, which organize disordered transcriptional regulators and membrane scaffolds in interactomes of importance to human diseases and plant quality. In this review, studies of structures, functions, and complexes across the αα-hubs are described and compared to provide a unified description of the group. This analysis expands the associated molecular concepts of “one domain – one superbinding site”, motif-based ligand binding, and coupled folding and binding of intrinsically disordered ligands to additional concepts of importance to signal fidelity. These include context, motif reversibility, multivalency, complex heterogeneity, synergistic αα-hub:ligand folding, accessory binding-sites, and supramodules. We propose that these multifaceted protein–protein interaction properties are made possible by the characteristics of the αα-hub fold, including super-site properties, dynamics, variable topologies, accessory helices and malleability and abetted by adaptability of the disordered ligands. Critically, these features provide additional filters for specificity. With the presentations of new concepts, this review opens for new research questions addressing properties across the group, which are driven from concepts discovered in studies of the individual members. Combined, the members of the αα-hubs are ideal models for deconvoluting signal fidelity maintained by folded hubs and their interactions with intrinsically disordered ligands.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Lasse Staby ◽  
Katrine Bugge ◽  
Rasmus Greve Falbe-Hansen ◽  
Edoardo Salladini ◽  
Karen Skriver ◽  
...  

Abstract Background Signal fidelity depends on protein–protein interaction–‘hubs’ integrating cues from large interactomes. Recently, and based on a common secondary structure motif, the αα-hubs were defined, which are small α-helical domains of large, modular proteins binding intrinsically disordered transcriptional regulators. Methods Comparative structural biology. Results We assign the harmonin-homology-domain (HHD, also named the harmonin N-terminal domain, NTD) present in large proteins such as harmonin, whirlin, cerebral cavernous malformation 2, and regulator of telomere elongation 1 to the αα-hubs. The new member of the αα-hubs expands functionality to include scaffolding of supra-modular complexes mediating sensory perception, neurovascular integrity and telomere regulation, and reveal novel features of the αα-hubs. As a common trait, the αα-hubs bind intrinsically disordered ligands of similar properties integrating similar cellular cues, but without cross-talk. Conclusion The inclusion of the HHD in the αα-hubs has uncovered new features, exemplifying the utility of identifying groups of hub domains, whereby discoveries in one member may cross-fertilize discoveries in others. These features make the αα-hubs unique models for decomposing signal specificity and fidelity. Using these as models, together with other suitable hub domain, we may advance the functional understanding of hub proteins and their role in cellular communication and signaling, as well as the role of intrinsically disordered proteins in signaling networks.


2020 ◽  
Author(s):  
Evelyn Ramberger ◽  
Valeria Sapozhnikova ◽  
Elisabeth Kowenz-Leutz ◽  
Karin Zimmermann ◽  
Nathalie Nicot ◽  
...  

AbstractThe pioneering transcription factor C/EBPα coordinates cell fate and cell differentiation. C/EBPα represents an intrinsically disordered protein with multiple short linear motifs and extensive post-translational side chain modifications (PTM), reflecting its modularity and functional plasticity. Here, we combined arrayed peptide matrix screening (PRISMA) with biotin ligase proximity labeling proteomics (BioID) to generate a linear, isoform specific and PTM-dependent protein interaction map of C/EBPα in myeloid cells. The C/EBPα interactome comprises promiscuous and PTM-regulated interactions with protein machineries involved in gene expression, epigenetics, genome organization, DNA replication, RNA processing, and nuclear transport as the basis of functional C/EBPα plasticity. Protein interaction hotspots were identified that coincide with homologous conserved regions of the C/EBP family and revealed interaction motifs that score as molecular recognition features (MoRF). PTMs alter the interaction spectrum of multi-valent C/EBP-motifs to configure a multimodal transcription factor hub that allows interaction with multiple co-regulatory components, including BAF/SWI-SNF or Mediator complexes. Combining PRISMA and BioID acts as a powerful strategy to systematically explore the interactomes of intrinsically disordered proteins and their PTM-regulated, multimodal capacity.Key pointsIntegration of proximity labeling and arrayed peptide screen proteomics refines the interactome of C/EBPα isoformsHotspots of protein interactions in C/EBPα mostly occur in conserved short linear motifsInteractions of the BAF/SWI-SNF complex with C/EBPα are modulated by arginine methylation and isoform statusThe integrated experimental strategy suits systematic interactome studies of intrinsically disordered proteins


2018 ◽  
Author(s):  
Rashmi Rameshwari ◽  
Shilpa S Chapadgaonkar ◽  
T. V. Prasad

AbstractA methodological framework of graph traversal in Systems Biology is presented here. At present there is need to investigate system rather individual component. The proposed analysis generalizes the various idea of network representations of protein interactions. This approach highlights various methods used in construction of protein interaction graph or network using suitable algorithm. The network nodes represent protein residues. Two nodes are connected if two residues are functionally correlated during the protein interaction event. The analysis of the resulting network enables the importance of each protein for its interactions. Furthermore, the determination of the pattern of edge between residues yields insights into the function prediction of an interaction. This is of special interest to investigate intrinsically disordered proteins, since it is difficult to determine structural (three-dimensional) architecture of each proteins in protein interactions network. In present work various approaches for protein interactions network construction, models and methods along with graph theories has been discussed which can be used to reveal hidden properties and features of a network. Further effective algorithm for visualization of protein interactions is suggested. As construction of Biological network is dependent on various properties of graph. A holistic approach such as Systems Biology approach can better solve the problem. This network profiling combined with knowledge extraction will help biologist to explore hidden information in genome as well as in proteome..


2018 ◽  
Vol 4 (10) ◽  
pp. eaau4130 ◽  
Author(s):  
Per Jemth ◽  
Elin Karlsson ◽  
Beat Vögeli ◽  
Brenda Guzovsky ◽  
Eva Andersson ◽  
...  

In every established species, protein-protein interactions have evolved such that they are fit for purpose. However, the molecular details of the evolution of new protein-protein interactions are poorly understood. We have used nuclear magnetic resonance spectroscopy to investigate the changes in structure and dynamics during the evolution of a protein-protein interaction involving the intrinsically disordered CREBBP (CREB-binding protein) interaction domain (CID) and nuclear coactivator binding domain (NCBD) from the transcriptional coregulators NCOA (nuclear receptor coactivator) and CREBBP/p300, respectively. The most ancient low-affinity “Cambrian-like” [540 to 600 million years (Ma) ago] CID/NCBD complex contained less secondary structure and was more dynamic than the complexes from an evolutionarily younger “Ordovician-Silurian” fish ancestor (ca. 440 Ma ago) and extant human. The most ancient Cambrian-like CID/NCBD complex lacked one helix and several interdomain interactions, resulting in a larger solvent-accessible surface area. Furthermore, the most ancient complex had a high degree of millisecond-to-microsecond dynamics distributed along the entire sequences of both CID and NCBD. These motions were reduced in the Ordovician-Silurian CID/NCBD complex and further redistributed in the extant human CID/NCBD complex. Isothermal calorimetry experiments show that complex formation is enthalpically favorable and that affinity is modulated by a largely unfavorable entropic contribution to binding. Our data demonstrate how changes in structure and motion conspire to shape affinity during the evolution of a protein-protein complex and provide direct evidence for the role of structural, dynamic, and frustrational plasticity in the evolution of interactions between intrinsically disordered proteins.


Biomolecules ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 88 ◽  
Author(s):  
Hiroto Anbo ◽  
Masaya Sato ◽  
Atsushi Okoshi ◽  
Satoshi Fukuchi

One of the unique characteristics of intrinsically disordered proteins (IPDs) is the existence of functional segments in intrinsically disordered regions (IDRs). A typical function of these segments is binding to partner molecules, such as proteins and DNAs. These segments play important roles in signaling pathways and transcriptional regulation. We conducted bioinformatics analysis to search these functional segments based on IDR predictions and database annotations. We found more than a thousand potential functional IDR segments in disease-related proteins. Large fractions of proteins related to cancers, congenital disorders, digestive system diseases, and reproductive system diseases have these functional IDRs. Some proteins in nervous system diseases have long functional segments in IDRs. The detailed analysis of some of these regions showed that the functional segments are located on experimentally verified IDRs. The proteins with functional IDR segments generally tend to come and go between the cytoplasm and the nucleus. Proteins involved in multiple diseases tend to have more protein-protein interactors, suggesting that hub proteins in the protein-protein interaction networks can have multiple impacts on human diseases.


2020 ◽  
Author(s):  
Lynn G Schrag ◽  
Indhujah Thevarajan ◽  
Xiaorong Liu ◽  
Om Prakash ◽  
Michal Zolkiewski ◽  
...  

Intrinsically disordered proteins (IDPs) are key components of regulatory networks that control crucial aspects of cell decision making. The intrinsically disordered transactivation domain (TAD) of tumor suppressor p53 mediates its interactions with multiple regulatory pathways to control the p53 homeostasis during the cellular response to genotoxic stress. Many cancer-associated mutations have been discovered in p53-TAD, but their structural and functional consequences are poorly understood. Here, by combining atomistic simulations, NMR spectroscopy, and binding assays, we demonstrate that cancer-associated mutations can significantly perturb the balance of p53 interactions with key activation and degradation regulators. Importantly, mutations do not all directly disrupt the known interaction interfaces. Instead, some mutations likely modulate the disordered state of p53-TAD, which affects the interactions. Our work suggests that the disordered conformational ensemble of p53-TAD can serve as a central conduit in regulating the response to various cellular stimuli at the protein-protein interaction level. Understanding how the disordered state of IDPs may be modulated by regulatory signals and/or disease associated perturbations will be essential in the studies on the role of IDPs in biology and diseases.


Biomolecules ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 81 ◽  
Author(s):  
Wenning Wang ◽  
Dongdong Wang

Protein interactions involving intrinsically disordered proteins (IDPs) greatly extend the range of binding mechanisms available to proteins. In interactions employing coupled folding and binding, IDPs undergo disorder-to-order transitions to form a complex with a well-defined structure. In many other cases, IDPs retain structural plasticity in the final complexes, which have been defined as the fuzzy complexes. While a large number of fuzzy complexes have been characterized with variety of fuzzy patterns, many of the interactions are between an IDP and a structured protein. Thus, whether two IDPs can interact directly to form a fuzzy complex without disorder-to-order transition remains an open question. Recently, two studies of interactions between IDPs (4.1G-CTD/NuMA and H1/ProTα) have found a definite answer to this question. Detailed characterizations combined with nuclear magnetic resonance (NMR), single-molecule Förster resonance energy transfer (smFRET) and molecular dynamics (MD) simulation demonstrate that direct interactions between these two pairs of IDPs do form fuzzy complexes while retaining the conformational dynamics of the isolated proteins, which we name as the extremely fuzzy complexes. Extreme fuzziness completes the full spectrum of protein-protein interaction modes, suggesting that a more generalized model beyond existing binding mechanisms is required. Previous models of protein interaction could be applicable to some aspects of the extremely fuzzy interactions, but in more general sense, the distinction between native and nonnative contacts, which was used to understand protein folding and binding, becomes obscure. Exploring the phenomenon of extreme fuzziness may shed new light on molecular recognition and drug design.


Sign in / Sign up

Export Citation Format

Share Document