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1.
Proc Natl Acad Sci U S A ; 113(18): 5012-7, 2016 May 03.
Article in English | MEDLINE | ID: mdl-27092002

ABSTRACT

The ribosome is increasingly becoming recognized as a key hub for integrating quality control processes associated with protein biosynthesis and cotranslational folding (CTF). The molecular mechanisms by which these processes take place, however, remain largely unknown, in particular in the case of intrinsically disordered proteins (IDPs). To address this question, we studied at a residue-specific level the structure and dynamics of ribosome-nascent chain complexes (RNCs) of α-synuclein (αSyn), an IDP associated with Parkinson's disease (PD). Using solution-state nuclear magnetic resonance (NMR) spectroscopy and coarse-grained molecular dynamics (MD) simulations, we find that, although the nascent chain (NC) has a highly disordered conformation, its N-terminal region shows resonance broadening consistent with interactions involving specific regions of the ribosome surface. We also investigated the effects of the ribosome-associated molecular chaperone trigger factor (TF) on αSyn structure and dynamics using resonance broadening to define a footprint of the TF-RNC interactions. We have used these data to construct structural models that suggest specific ways by which emerging NCs can interact with the biosynthesis and quality control machinery.


Subject(s)
Models, Chemical , Molecular Docking Simulation , Ribosomes/chemistry , Ribosomes/ultrastructure , alpha-Synuclein/chemistry , alpha-Synuclein/ultrastructure , Binding Sites , Computer Simulation , Protein Binding , Protein Conformation , Protein Domains , Surface Properties
2.
J Biol Chem ; 290(4): 2395-404, 2015 Jan 23.
Article in English | MEDLINE | ID: mdl-25505181

ABSTRACT

The conversion of α-synuclein from its intrinsically disordered monomeric state into the fibrillar cross-ß aggregates characteristically present in Lewy bodies is largely unknown. The investigation of α-synuclein variants causative of familial forms of Parkinson disease can provide unique insights into the conditions that promote or inhibit aggregate formation. It has been shown recently that a newly identified pathogenic mutation of α-synuclein, H50Q, aggregates faster than the wild-type. We investigate here its aggregation propensity by using a sequence-based prediction algorithm, NMR chemical shift analysis of secondary structure populations in the monomeric state, and determination of thermodynamic stability of the fibrils. Our data show that the H50Q mutation induces only a small increment in polyproline II structure around the site of the mutation and a slight increase in the overall aggregation propensity. We also find, however, that the H50Q mutation strongly stabilizes α-synuclein fibrils by 5.0 ± 1.0 kJ mol(-1), thus increasing the supersaturation of monomeric α-synuclein within the cell, and strongly favors its aggregation process. We further show that wild-type α-synuclein can decelerate the aggregation kinetics of the H50Q variant in a dose-dependent manner when coaggregating with it. These last findings suggest that the precise balance of α-synuclein synthesized from the wild-type and mutant alleles may influence the natural history and heterogeneous clinical phenotype of Parkinson disease.


Subject(s)
Mutation , alpha-Synuclein/genetics , Amyloid/chemistry , Binding Sites , Humans , Lewy Bodies/metabolism , Magnetic Resonance Spectroscopy , Microscopy, Atomic Force , Parkinson Disease/metabolism , Peptides/chemistry , Phenotype , Protein Binding , Protein Isoforms/chemistry , Protein Isoforms/genetics , Protein Structure, Secondary , Recombinant Proteins/chemistry , Solubility , Thermodynamics , alpha-Synuclein/chemistry
3.
J Virol ; 89(1): 833-43, 2015 Jan.
Article in English | MEDLINE | ID: mdl-25355888

ABSTRACT

UNLABELLED: Infection with HIV-2 can ultimately lead to AIDS, although disease progression is much slower than with HIV-1. HIV-2 patients are mostly treated with a combination of nucleoside reverse transcriptase (RT) inhibitors (NRTIs) and protease inhibitors designed for HIV-1. Many studies have described the development of HIV-1 resistance to NRTIs and identified mutations in the polymerase domain of RT. Recent studies have shown that mutations in the connection and RNase H domains of HIV-1 RT may also contribute to resistance. However, only limited information exists regarding the resistance of HIV-2 to NRTIs. In this study, therefore, we analyzed the polymerase, connection, and RNase H domains of RT in HIV-2 patients failing NRTI-containing therapies. Besides the key resistance mutations K65R, Q151M, and M184V, we identified a novel mutation, V111I, in the polymerase domain. This mutation was significantly associated with mutations K65R and Q151M. Sequencing of the connection and RNase H domains of the HIV-2 patients did not reveal any of the mutations that were reported to contribute to NRTI resistance in HIV-1. We show that V111I does not strongly affect drug susceptibility but increases the replication capacity of the K65R and Q151M viruses. Biochemical assays demonstrate that V111I restores the polymerization defects of the K65R and Q151M viruses but negatively affects the fidelity of the HIV-2 RT enzyme. Molecular dynamics simulations were performed to analyze the structural changes mediated by V111I. This showed that V111I changed the flexibility of the 110-to-115 loop region, which may affect deoxynucleoside triphosphate (dNTP) binding and polymerase activity. IMPORTANCE: Mutation V111I in the HIV-2 reverse transcriptase enzyme was identified in patients failing therapies containing nucleoside analogues. We show that the V111I change does not strongly affect the sensitivity of HIV-2 to nucleoside analogues but increases the fitness of viruses with drug resistance mutations K65R and Q151M.


Subject(s)
Drug Resistance, Viral , HIV Reverse Transcriptase/genetics , HIV Reverse Transcriptase/metabolism , HIV-2/enzymology , HIV-2/physiology , Mutation, Missense , Virus Replication , Amino Acid Substitution , HIV Reverse Transcriptase/chemistry , HIV-2/genetics , Humans , Molecular Dynamics Simulation
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