The structure of the native α-synuclein ensemble determined using a combination of structural proteomics and discrete molecular dynamics simulations

dc.contributor.authorBrodie, Nicholas I.
dc.contributor.supervisorBorchers, Christoph H.
dc.contributor.supervisorBurke, John E.
dc.date.accessioned2020-03-17T19:49:04Z
dc.date.available2020-03-17T19:49:04Z
dc.date.copyright2020en_US
dc.date.issued2020-03-17
dc.degree.departmentDepartment of Biochemistry and Microbiology
dc.degree.levelDoctor of Philosophy Ph.D.en_US
dc.description.abstractIn Parkinson’s disease and other Lewy Body disorders, aggregation of the protein α-synuclein results in the degeneration of nervous tissue. Under normal conditions, the α-synuclein protein is abundant in neurons, where it assists in the formation of vesicles and the reuptake of neurotransmitters. However, under some conditions the protein will undergo a prion-like misfolding conversion and ultimately be converted into a fibrillar form, which makes up the bulk of the protein content of Lewy bodies. Currently, our understanding of the initial structural changes involved in the conversion of this protein into a toxic oligomeric form is hindered by the limited availability of structural data on the native, intrinsically disordered protein. Helping to define a structural ensemble for this protein would be a first step towards the development of a model for the misfolding and oligomerization process of this protein. The research hypothesis for this dissertation is that the α-synuclein protein adopts a conformational ensemble of structures which can be elucidated using structural proteomics, and that some of these conformations have features which may lead to an increased propensity to form oligomers. In order to test this hypothesis, I utilized a variety of structural proteomics tools. These included chemical crosslinking for the discovery of distance constraints which can be used for molecular modelling, surface modification experiments which determine the propensity for particular residues to reside on the protein surface, hydrogen-deuterium exchange measurements for determining the presence or absence of secondary structure, and molecular modelling, which will be performed by collaborators at the University of North Carolina. In order to help answer these difficult structural questions, I developed a variety of new structural proteomics techniques including photo-reactive, non-specific crosslinking reagents, ultraviolet photo-dissociation for protein fragmentation during hydrogen deuterium exchange experiments, and, most importantly, in collaboration with the University of North Carolina, I developed a computational pipeline for determining protein structures by directly incorporating distance constraints into discrete molecular dynamics simulations. These new techniques were first tested on several model proteins in order to verify their effectiveness, and were then used in combination with already-established structural proteomics techniques to model new ensembles for the native synuclein protein. This ensemble structure indicates that in vitro the synuclein protein adopts an ensemble of 4 distinct structures, each with some transient secondary structure. In particular, the most populated structures in the ensembles possessed secondary structure motifs in regions known to be important for oligomerization, and stabilization of these transient structures is likely to be a key component of the conversion to the oligomeric form of the protein.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.bibliographicCitationBrodie, Nicholas; Makepeace, Karl; Petrotchenko, Evgeniy; Borchers, Christoph. Isotopically-coded short-range hetero-bifunctional photo-reactive crosslinkers for studying protein structure. Journal of Proteomics. Volume 118, pp. 12-20. April 6, 2015. Doi: 10.1016/j.jprot.2014.08.012en_US
dc.identifier.bibliographicCitationBrodie, Nicholas; Popov, Konstantin; Petrotchenko, Evgeniy; Dokholyan, Nikolay; Borchers, Christoph. Solving protein structures using short-distance cross-linking constraints as a guide for discrete molecular dynamics simulations. Science Advances. Volume 3, no. 7, e1700479. July 7, 2017. Doi: 10.1126/sciadv.1700479en_US
dc.identifier.bibliographicCitationBrodie, Nicholas; Popov, Konstantin; Petrotchenko, Evgeniy; Dokholyan, Nikolay; Borchers, Christoph. Conformational ensemble of native α-synuclein in solution as determined by short-distance crosslinking constraint-guided discrete molecular dynamics simulations. PLOS Computational Biology. e1006859. March 27, 2019. Doi: 10.1371/journal.pcbi.1006859en_US
dc.identifier.urihttp://hdl.handle.net/1828/11628
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectSynucleinen_US
dc.subjectDiscrete Molecular Dynamicsen_US
dc.subjectCrosslinkingen_US
dc.subjectStructural Proteomicsen_US
dc.subjectSurface Modificationen_US
dc.subjectIntrinsically Disordered Proteinen_US
dc.subjectProtein Modellingen_US
dc.subjectProtein Crosslinkingen_US
dc.subjectPhotoreactive Protein Crosslinkersen_US
dc.titleThe structure of the native α-synuclein ensemble determined using a combination of structural proteomics and discrete molecular dynamics simulationsen_US
dc.typeThesisen_US

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