Specific motifs of the V-ATPase a2-subunit isoform interact with catalytic and regulatory domains of ARNO

AbstractWe have previously shown that the V-ATPase a2-subunit isoform interacts specifically, and in an intra-endosomal acidification-dependent manner, with the Arf-GEF ARNO. In the present study, we examined the molecular mechanism of this interaction using synthetic peptides and purified recombinant proteins in protein-association assays. In these experiments, we revealed the involvement of multiple sites on the N-terminus of the V-ATPase a2-subunit (a2N) in the association with ARNO. While six a2N-derived peptides interact with wild-type ARNO, only two of them (named a2N-01 and a2N-03) bind to its catalytic Sec7-domain. However, of these, only the a2N-01 peptide (MGSLFRSESMCLAQLFL) showed specificity towards the Sec7-domain compared to other domains of the ARNO protein. Surface plasmon resonance kinetic analysis revealed a very strong binding affinity between this a2N-01 peptide and the Sec7-domain of ARNO, with dissociation constant KD=3.44×10−7M, similar to the KD=3.13×10−7M binding affinity between wild-type a2N and the full-length ARNO protein. In further pull-down experiments, we also revealed the involvement of multiple sites on ARNO itself in the association with a2N. However, while its catalytic Sec7-domain has the strongest interaction, the PH-, and PB-domains show much weaker binding to a2N. Interestingly, an interaction of the a2N to a peptide corresponding to ARNO's PB-domain was abolished by phosphorylation of ARNO residue Ser392. The 3D-structures of the non-phosphorylated and phosphorylated peptides were resolved by NMR spectroscopy, and we have identified rearrangements resulting from Ser392 phosphorylation. Homology modeling suggests that these alterations may modulate the access of the a2N to its interaction pocket on ARNO that is formed by the Sec7 and PB-domains. Overall, our data indicate that the interaction between the a2-subunit of V-ATPase and ARNO is a complex process involving various binding sites on both proteins. Importantly, the binding affinity between the a2-subunit and ARNO is in the same range as those previously reported for the intramolecular association of subunits within V-ATPase complex itself, indicating an important cell biological role for the interaction between the V-ATPase and small GTPase regulatory proteins

Structural model of a2-subunit N-terminus and its binding interface for Arf-GEF CTH2: Implication for regulation of V-ATPase, CTH2 function and rational drug design

We have previously identified the interaction between mammalian V-ATPase a2-subunit isoform and cytohesin-2 (CTH2) and studied molecular details of binding between these proteins. In particular, we found that six peptides derived from the N-terminal cytosolic domain of a2 subunit (a2N1–402) are involved in interaction with CTH2 (Merkulova, Bakulina, Thaker, Grüber, & Marshansky, 2010). However, the actual 3D binding interface was not determined in that study due to the lack of high-resolution structural information about a-subunits of V-ATPase. Here, using a combination of homology modeling and NMR analysis, we generated the structural model of complete a2N1–402 and uncovered the CTH2-binding interface. First, using the crystal-structure of the bacterial M. rubber Icyt-subunit of A-ATPase as a template (Srinivasan, Vyas, Baker, & Quiocho, 2011), we built a homology model of mammalian a2N1–352 fragment. Next, we combined it with the determined NMR structures of peptides a2N368–395 and a2N386–402 of the C-terminal section of a2N1–402. The complete molecular model of a2N1–402 revealed that six CTH2 interacting peptides are clustered in the distal and proximal lobe sub-domains of a2N1–402. Our data indicate that the proximal lobe sub-domain is the major interacting site with the Sec7 domain of first CTH2 protein, while the distal lobe sub-domain of a2N1–402 interacts with the PH-domain of second CTH2. Indeed, using Sec7/Arf-GEF activity assay we experimentally confirmed our model. The interface formed by peptides a2N1–17 and a2N35–49 is involved in specific interaction with Sec7 domain and regulation of GEF activity. These data are critical for understanding of the cross-talk between V-ATPase and CTH2 as well as for the rational drug design to regulate their function

FILTREST3D: discrimination of structural models using restraints from experimental data

Summary: Automatic methods for macromolecular structure prediction (fold recognition, de novo folding and docking programs) produce large sets of alternative models. These large model sets often include many native-like structures, which are often scored as false positives. Such native-like models can be more easily identified based on data from experimental analyses used as structural restraints (e.g. identification of nearby residues by cross-linking, chemical modification, site-directed mutagenesis, deuterium exchange coupled with mass spectrometry, etc.). We present a simple server for scoring and ranking of models according to their agreement with user-defined restraints

Establishment of Constraints on Amyloid Formation Imposed by Steric Exclusion of Globular Domains

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Classification of \u3b2-hairpin repeat proteins

In recent years, a number of new protein structures that possess tandem repeats have emerged. Many of these proteins are comprised of tandem arrays of \u3b2-hairpins. Today, the amount and variety of the data on these \u3b2-hairpin repeat (BHR) structures have reached a level that requires detailed analysis and further classification. In this paper, we classified the BHR proteins, compared structures, sequences of repeat motifs, functions and distribution across the major taxonomic kingdoms of life and within organisms. As a result, we identified six different BHR folds in tandem repeat proteins of Class III (elongated structures) and one BHR fold (up-and-down \u3b2-barrel) in Class IV (\u201cclosed\u201d structures). Our survey reveals the high incidence of the BHR proteins among bacteria and viruses and their possible relationship to the structures of amyloid fibrils. It indicates that BHR folds will be an attractive target for future structural studies, especially in the context of age-related amyloidosis and emerging infectious diseases. This work allowed us to update the RepeatsDB database, which contains annotated tandem repeat protein structures and to construct sequence profiles based on BHR structural alignments

Amyloidogenicity as a driving force for the formation of functional oligomers

Insoluble amyloid fibrils formed by self-assembly of amyloidogenic regions of proteins have a cross-β-structure. In this work, by using targeted molecular dynamics and rigid body simulation, we demonstrate that if a protein consists of an amyloidogenic region and a globular domain(s) and if the linker between them is short enough, such molecules cannot assemble into amyloid fibrils, instead, they form oligomers with a defined and limited number of β-strands in the cross-β core. We show that this blockage of the amyloid growth is due to the steric repulsion of the globular structures linked to amyloidogenic regions. Furthermore, we establish a relationship between the linker length and the number of monomers in such nanoparticles. We hypothesise that such oligomerisation can be a yet unrecognised way to form natural protein complexes involved in biological processes. Our results can also be used in protein engineering for designing soluble nanoparticles carrying different functional domains.Fil: Azizyan, Rafayel A.. Université Montpellier II; FranciaFil: Wang, Weiqiang. Universitat Autònoma de Barcelona; EspañaFil: Anikeenko, Alexey. Novosibirsk State University; RusiaFil: Radkova, Zinaida. Novosibirsk State University; RusiaFil: Bakulina, Anastasia. Novosibirsk State University; RusiaFil: Garro, Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; ArgentinaFil: Charlier, Landry. Institut des Biomolécules Max Mousseron; FranciaFil: Dumas, Christian. Université Montpellier II; FranciaFil: Ventura, Salvador. Universitat Autònoma de Barcelona; EspañaFil: Kajava, Andrey V.. Université Montpellier II; Franci