Dissecting DISC1 function through protein–protein interactions

2007 ◽  
Vol 35 (5) ◽  
pp. 1283-1286 ◽  
Author(s):  
N.J. Brandon
Keyword(s):  
Protein Interactions ◽  
Cell Biology ◽  
Protein Complexes ◽  
Structural Protein ◽  
Protein Protein Interactions ◽  
Personal View ◽  
Risk Genes ◽  
Rosetta Stone ◽  
Binding Partners ◽  
Two Hybrid

Disrupted in schizophrenia 1 (DISC1) is emerging in the eyes of many as the most promising candidate of all the schizophrenia risk genes. This viewpoint is derived from the combination of genetic, clinical, imaging and rapidly advancing cell biology data around this gene. All of these areas have been reviewed extensively recently and this review will point you towards some of these excellent papers. My own personal view of the potential importance of DISC1 was echoed in a recent review which suggested that DISC1 may be a ‘Rosetta Stone’ for schizophrenia research [Ross, Margolis, Reading, Pletnikov and Coyle (2006) Neuron 52, 139–153]. Our own efforts to try to understand the function of DISC1 were through identification of its protein-binding partners. Through an extensive Y2H (yeast two-hybrid) and bioinformatics effort we generated the ‘DISC1-Interactome’, a comprehensive network of protein–protein interactions around DISC1. In two excellent industry–academia collaborations we focused on two main interacting partners: Ndel1 (nudE nuclear distribution gene E homologue-like 1), an enigmatic protein which may have diverse functions as both a cysteine protease and a key centrosomal structural protein; and PDE4B, a cAMP-specific phosphodiesterase. I will review the work around these two protein complexes in detail.

scholarly journals The Disordered Cellular Multi-Tasker WIP and Its Protein–Protein Interactions: A Structural View

Biomolecules ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 1084 ◽  
Author(s):  
Chana G. Sokolik ◽  
Nasrin Qassem ◽  
Jordan H. Chill
Keyword(s):  
Protein Interactions ◽  
Cell Biology ◽  
Intrinsically Disordered Proteins ◽  
Disordered Proteins ◽  
Actin Binding ◽  
Structural Description ◽  
Protein Protein Interactions ◽  
Intrinsically Disordered ◽  
Terminal Domain ◽  
Binding Partners

WASp-interacting protein (WIP), a regulator of actin cytoskeleton assembly and remodeling, is a cellular multi-tasker and a key member of a network of protein–protein interactions, with significant impact on health and disease. Here, we attempt to complement the well-established understanding of WIP function from cell biology studies, summarized in several reviews, with a structural description of WIP interactions, highlighting works that present a molecular view of WIP’s protein–protein interactions. This provides a deeper understanding of the mechanisms by which WIP mediates its biological functions. The fully disordered WIP also serves as an intriguing example of how intrinsically disordered proteins (IDPs) exert their function. WIP consists of consecutive small functional domains and motifs that interact with a host of cellular partners, with a striking preponderance of proline-rich motif capable of interactions with several well-recognized binding partners; indeed, over 30% of the WIP primary structure are proline residues. We focus on the binding motifs and binding interfaces of three important WIP segments, the actin-binding N-terminal domain, the central domain that binds SH3 domains of various interaction partners, and the WASp-binding C-terminal domain. Beyond the obvious importance of a more fundamental understanding of the biology of this central cellular player, this approach carries an immediate and highly beneficial effect on drug-design efforts targeting WIP and its binding partners. These factors make the value of such structural studies, challenging as they are, readily apparent.

scholarly journals Towards a structurally resolved human protein interaction network

2021 ◽  
Author(s):  
David F Burke ◽  
Patrick Bryant ◽  
Inigo Barrio-Hernandez ◽  
Danish Memon ◽  
Gabriele Pozzati ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Cell Biology ◽  
Molecular Mechanisms ◽  
Protein Complexes ◽  
Interaction Network ◽  
Protein Protein Interactions ◽  
Cellular Functions ◽  
Human Interactions ◽  
Pathogenic Variants ◽  
Binary Complexes

All cellular functions are governed by complex molecular machines that assemble through protein-protein interactions. Their atomic details are critical to the study of their molecular mechanisms but fewer than 5% of hundreds of thousands of human interactions have been structurally characterized. Here, we test the potential and limitations of recent progress in deep-learning methods using AlphaFold2 to predict structures for 65,484 human interactions. We show that higher confidence models are enriched in interactions supported by affinity or structure based methods and can be orthogonally confirmed by spatial constraints defined by cross-link data. We identify 3,137 high confidence models, of which 1,371 have no homology to a known structure, from which we identify interface residues harbouring disease mutations, suggesting potential mechanisms for pathogenic variants. We find groups of interface phosphorylation sites that show patterns of co-regulation across conditions, suggestive of coordinated tuning of multiple interactions as signalling responses. Finally, we provide examples of how the predicted binary complexes can be used to build larger assemblies. Accurate prediction of protein complexes promises to greatly expand our understanding of the atomic details of human cell biology in health and disease.

scholarly journals 14-3-3 and its binding partners are regulators of protein–protein interactions during spermatogenesis

2009 ◽  
Vol 202 (3) ◽  
pp. 327-336 ◽  
Author(s):  
Shengyi Sun ◽  
Elissa W P Wong ◽  
Michelle W M Li ◽  
Will M Lee ◽  
C Yan Cheng
Keyword(s):  
Cell Adhesion ◽  
Protein Interactions ◽  
Protein Complexes ◽  
Morphological Changes ◽  
Regulatory Protein ◽  
Cell Movement ◽  
Cytoskeletal Proteins ◽  
Seminiferous Epithelium ◽  
Protein Protein Interactions ◽  
Binding Partners

During spermatogenesis, spermiation takes place at the adluminal edge of the seminiferous epithelium at stage VIII of the epithelial cycle during which fully developed spermatids (i.e. spermatozoa) detach from the epithelium in adult rat testes. This event coincides with the migration of preleptotene/leptotene spermatocytes across the blood–testis barrier from the basal to the apical (or adluminal) compartment. At stage XIV of the epithelial cycle, Pachytene spermatocytes (diploid, 2n) differentiate into diplotene spermatocytes (tetraploid, 4n) in the apical compartment of the epithelium, which begin meiosis I to be followed by meiosis II to form spermatids (haploid, 1n) at stage XIV of the epithelial cycle. These spermatids, in turn, undergo extensive morphological changes and traverse the seminiferous epithelium until they differentiate into elongated spermatids. Thus, there are extensive changes at the Sertoli–Sertoli and Sertoli–germ cell interface via protein ‘coupling’ and ‘uncoupling’ between cell adhesion protein complexes, as well as changes in interactions between integral membrane proteins and their peripheral adaptors, regulatory protein kinases and phosphatases, and the cytoskeletal proteins. These precisely coordinated protein–protein interactions affect cell adhesion and cell movement. In this review, we focus on the 14-3-3 protein family, whose members have different binding partners in the seminiferous epithelium. Recent studies have illustrated that 14-3-3 affects protein–protein interactions in the seminiferous epithelium, and regulates cell adhesion possibly via its effects on intracellular protein trafficking and cell-polarity proteins. This review provides a summary on the latest findings regarding the role of 14-3-3 family of proteins and their potential implications on spermatogenesis. We also highlight research areas that deserve attentions by investigators.

Protein–protein interactions

2010 ◽  
Vol 38 (4) ◽  
pp. 875-878 ◽  
Author(s):  
Mike P. Williamson ◽  
Michael J. Sutcliffe
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Present Article ◽  
High Throughput ◽  
Protein Interactions ◽  
Metabolic Pathway ◽  
Protein Complexes ◽  
Affinity Purification ◽  
Good Evidence ◽  
Protein Protein Interactions ◽  
Two Hybrid

In the present article, we describe the two standard high-throughput methods for identification of protein complexes: two-hybrid screens and TAP (tandem affinity purification) tagging. These methods have been used to characterize the interactome of Saccharomyces cerevisiae, showing that the majority of proteins are part of complexes, and that complexes typically consist of a core to which are bound ‘party’ and ‘dater’ proteins. Complexes typically are merely the sum of their parts. A particularly interesting type of complex is the metabolon, containing enzymes within the same metabolic pathway. There is reasonably good evidence that metabolons exist, but they have not been detected using high-thoughput assays, possibly because of their fragility.

scholarly journals Towards a structurally resolved human protein interaction network

2021 ◽  
Author(s):  
Arne Elofsson ◽  
David Burke ◽  
Patrick Bryant ◽  
Inigo Barrio-Hernandez ◽  
Danish Memon ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Cell Biology ◽  
Molecular Mechanisms ◽  
Protein Complexes ◽  
Interaction Network ◽  
Protein Protein Interactions ◽  
Cellular Functions ◽  
Human Interactions ◽  
Pathogenic Variants ◽  
Binary Complexes

Abstract All cellular functions are governed by complex molecular machines that assemble through protein-protein interactions. Their atomic details are critical to the study of their molecular mechanisms but fewer than 5% of hundreds of thousands of human interactions have been structurally characterized. Here, we test the potential and limitations of recent progress in deep-learning methods using AlphaFold2 to predict structures for 65,484 human interactions. We show that higher confidence models are enriched in interactions supported by affinity or structure based methods and can be orthogonally confirmed by spatial constraints defined by cross-link data. We identify 3,137 high confidence models, of which 1,371 have no homology to a known structure, from which we identify interface residues harbouring disease mutations, suggesting potential mechanisms for pathogenic variants. We find groups of interface phosphorylation sites that show patterns of co-regulation across conditions, suggestive of coordinated tuning of multiple interactions as signalling responses. Finally, we provide examples of how the predicted binary complexes can be used to build larger assemblies. Accurate prediction of protein complexes promises to greatly expand our understanding of the atomic details of human cell biology in health and disease.

scholarly journals Unraveling Protein Interactions between the Temperate Virus Bam35 and Its Bacillus Host Using an Integrative Yeast Two Hybrid–High Throughput Sequencing Approach

2021 ◽  
Vol 22 (20) ◽  
pp. 11105
Author(s):  
Ana Lechuga ◽  
Cédric Lood ◽  
Mónica Berjón-Otero ◽  
Alicia del Prado ◽  
Jeroen Wagemans ◽  
...  
Keyword(s):  
High Throughput ◽  
Protein Interactions ◽  
High Throughput Sequencing ◽  
Genomic Library ◽  
Structural Protein ◽  
Protein Protein Interactions ◽  
Yeast Two Hybrid ◽  
Novel Approach ◽  
Host Membrane ◽  
Two Hybrid

Bacillus virus Bam35 is the model Betatectivirus and member of the family Tectiviridae, which is composed of tailless, icosahedral, and membrane-containing bacteriophages. Interest in these viruses has greatly increased in recent years as they are thought to be an evolutionary link between diverse groups of prokaryotic and eukaryotic viruses. Additionally, betatectiviruses infect bacteria of the Bacillus cereus group, which are known for their applications in industry and notorious since it contains many pathogens. Here, we present the first protein–protein interactions (PPIs) network for a tectivirus–host system by studying the Bam35–Bacillus thuringiensis model using a novel approach that integrates the traditional yeast two-hybrid system and high-throughput sequencing (Y2H-HTS). We generated and thoroughly analyzed a genomic library of Bam35′s host B. thuringiensis HER1410 and screened interactions with all the viral proteins using different combinations of bait–prey couples. Initial analysis of the raw data enabled the identification of over 4000 candidate interactions, which were sequentially filtered to produce 182 high-confidence interactions that were defined as part of the core virus–host interactome. Overall, host metabolism proteins and peptidases were particularly enriched within the detected interactions, distinguishing this host–phage system from the other reported host–phage PPIs. Our approach also suggested biological roles for several Bam35 proteins of unknown function, including the membrane structural protein P25, which may be a viral hub with a role in host membrane modification during viral particle morphogenesis. This work resulted in a better understanding of the Bam35–B. thuringiensis interaction at the molecular level and holds great potential for the generalization of the Y2H-HTS approach for other virus–host models.

Identification of binding partners of CsaA - an archaeal chaperonic pro-tein of Picrophilus torridus

2020 ◽  
Vol 27 ◽  
Author(s):  
Neelja Singhal ◽  
Archana Sharma ◽  
Manisha Aswal ◽  
Nirpendra Singh ◽  
Manish Kumar ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Citrate Synthase ◽  
Elongation Factor ◽  
Trna Synthetase ◽  
Strong Interactions ◽  
Beta Chain ◽  
Protein Protein Interactions ◽  
Uncharacterized Protein ◽  
Binding Partners ◽  
Picrophilus Torridus

Background:: CsaA is among the few chaperones which are present in both bacteria and archaea, but absent in eukaryotes. There are no reports on interactome analysis of CsaA from archaea, till date. Identification of binding partners of CsaA might be helpful in understanding CsaA-associated processes in Picrophilus torridus– an extreme thermoaci-dophilic euryarchaeon. Objectives:: The present study was conducted to identify the binding partners of CsaA of P. torridus (PtCsaA). Methods:: The binding partners of PtCsaA were isolated and identified using a pull down assay and liquid chromatography-mass spectrometry (LC-MS). Results:: The results revealed twelve potential binding partners of CsaA. These were thermosome subunits (Q6KZS2 and Q6L132), nascent polypeptide-associated complex protein (Q6L1N3), elongation factor 1-alpha (Q6L202), uncharacterized protein (Q6L0Y6), citrate synthase (Q6L0M8), asparaginyl-tRNA synthetase (Q6L0M5), succinyl-CoA synthetase beta chain (Q6L0B4), pyruvate ferredoxin oxidoreductase alpha and beta chain proteins (Q6KZA7 and Q6KZA6, respectively), malate dehydrogenase (Q6L0C3) and reversed fumarylacetoacetase (Q6KZ97). Functional categorization revealed that of these, six proteins were involved in energy metabolic pathways, three were archaeal chaperones, two were involved in trans-lation and one might be a transcription regulator. STRING-based analysis of the protein-protein interactions of the experi-mental interactome revealed strong interactions among them. Conclusion:: PtCsaA might be a multifaceted protein which besides translation might also play important role in metabolic processes of P. torridus. However, further experiments investigating the binding partners of CsaA in other archaea are re-quired for a better understanding of CsaA-associated processes in archaea.

Mapping of Protein-Protein Interactions: Web-Based Resources for Revealing Interactomes

2019 ◽  
Vol 26 (21) ◽  
pp. 3890-3910 ◽  
Author(s):  
Branislava Gemovic ◽  
Neven Sumonja ◽  
Radoslav Davidovic ◽  
Vladimir Perovic ◽  
Nevena Veljkovic
Keyword(s):  
Drug Discovery ◽  
Protein Interactions ◽  
Protein Complexes ◽  
Experimental Studies ◽  
Protein Protein Interactions ◽  
Web Based ◽  
Prediction Tools ◽  
Physiological Processes ◽  
Modern Drug ◽  
Ppi Prediction

Background: The significant number of protein-protein interactions (PPIs) discovered by harnessing concomitant advances in the fields of sequencing, crystallography, spectrometry and two-hybrid screening suggests astonishing prospects for remodelling drug discovery. The PPI space which includes up to 650 000 entities is a remarkable reservoir of potential therapeutic targets for every human disease. In order to allow modern drug discovery programs to leverage this, we should be able to discern complete PPI maps associated with a specific disorder and corresponding normal physiology. Objective: Here, we will review community available computational programs for predicting PPIs and web-based resources for storing experimentally annotated interactions. Methods: We compared the capacities of prediction tools: iLoops, Struck2Net, HOMCOS, COTH, PrePPI, InterPreTS and PRISM to predict recently discovered protein interactions. Results: We described sequence-based and structure-based PPI prediction tools and addressed their peculiarities. Additionally, since the usefulness of prediction algorithms critically depends on the quality and quantity of the experimental data they are built on; we extensively discussed community resources for protein interactions. We focused on the active and recently updated primary and secondary PPI databases, repositories specialized to the subject or species, as well as databases that include both experimental and predicted PPIs. Conclusion: PPI complexes are the basis of important physiological processes and therefore, possible targets for cell-penetrating ligands. Reliable computational PPI predictions can speed up new target discoveries through prioritization of therapeutically relevant protein–protein complexes for experimental studies.

Protein Interaction Domains and Post-Translational Modifications: Structural Features and Drug Discovery Applications

2020 ◽  
Vol 27 (37) ◽  
pp. 6306-6355 ◽  
Author(s):  
Marian Vincenzi ◽  
Flavia Anna Mercurio ◽  
Marilisa Leone
Keyword(s):  
Drug Discovery ◽  
Protein Interaction ◽  
Protein Interactions ◽  
Structural Information ◽  
Protein Complexes ◽  
Structural Features ◽  
Protein Protein Interactions ◽  
Modular Architecture ◽  
Post Translational Modifications ◽  
Interaction Domains

Background:: Many pathways regarding healthy cells and/or linked to diseases onset and progression depend on large assemblies including multi-protein complexes. Protein-protein interactions may occur through a vast array of modules known as protein interaction domains (PIDs). Objective:: This review concerns with PIDs recognizing post-translationally modified peptide sequences and intends to provide the scientific community with state of art knowledge on their 3D structures, binding topologies and potential applications in the drug discovery field. Method:: Several databases, such as the Pfam (Protein family), the SMART (Simple Modular Architecture Research Tool) and the PDB (Protein Data Bank), were searched to look for different domain families and gain structural information on protein complexes in which particular PIDs are involved. Recent literature on PIDs and related drug discovery campaigns was retrieved through Pubmed and analyzed. Results and Conclusion:: PIDs are rather versatile as concerning their binding preferences. Many of them recognize specifically only determined amino acid stretches with post-translational modifications, a few others are able to interact with several post-translationally modified sequences or with unmodified ones. Many PIDs can be linked to different diseases including cancer. The tremendous amount of available structural data led to the structure-based design of several molecules targeting protein-protein interactions mediated by PIDs, including peptides, peptidomimetics and small compounds. More studies are needed to fully role out, among different families, PIDs that can be considered reliable therapeutic targets, however, attacking PIDs rather than catalytic domains of a particular protein may represent a route to obtain selective inhibitors.

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