Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Parkinson's disease genes VPS35 and EIF4G1 interact genetically and converge on alpha-synuclein

ABSTRACT: Parkinson's disease (PD) is a common human neurodegenerative movement disorder. Studies of the genetic forms of PD have helped to reveal disease mechanisms. Functional interactions between some Parkinson's disease (PD) genes, like PINK1 and parkin, have been identified, but whether other ones interact remains elusive. Here we report an unexpected genetic interaction between two PD genes, VPS35 and EIF4G1. We provide evidence that EIF4G1 upregulation causes defects associated with protein misfolding. Expression of a sortilin protein rescues these defects, downstream of VPS35, suggesting a potential role for sortilins in PD. We also show interactions between VPS35, EIF4G1 and alpha-synuclein, a protein with a key role in the pathogenesis of both sporadic and familial PD. We extend our findings from yeast to an animal model and show these interactions are conserved in neurons. We also connect VPS35 impairments to neurodegeneration in alpha-synuclein transgenic mice. Our studies reveal unexpected genetic and functional interactions between two seemingly unrelated PD genes and functionally connect them to alpha-synuclein pathobiology in yeast, worms, and mouse. Finally, we provide a resource of candidate PD genes for future genetic and functional interrogation. Ribosome profiling (RiboSeq) of wild type and VPS35 deletion yeast strains, with or without overexpression of the TIF4631 initiation factor

ORGANISM(S): Saccharomyces cerevisiae

SUBMITTER: Justin Chartron

PROVIDER: E-GEOD-64304 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Sass2009 - Approach to an α-synuclein-based BST model of Parkinson's disease This model is described in the article: A pragmatic approach to biochemical systems theory applied to an alpha-synuclein-based model of Parkinson's disease. Sass MB, Lorenz AN, Green RL, Coleman RA. J. Neurosci. Methods 2009 Apr; 178(2): 366-377 Abstract: This paper presents a detailed systems model of Parkinson's disease (PD), developed utilizing a pragmatic application of biochemical systems theory (BST) intended to assist experimentalists in the study of system behavior. This approach utilizes relative values as a reasonable initial estimate for BST and provides a theoretical means of applying numerical solutions to qualitative and semi-quantitative understandings of cellular pathways and mechanisms. The approach allows for the simulation of human disease through its ability to organize and integrate existing information about metabolic pathways without having a full quantitative description of those pathways, so that hypotheses about individual processes may be tested in a systems environment. Incorporating this method, the PD model describes alpha-synuclein aggregation as mediated by dopamine metabolism, the ubiquitin-proteasome system, and lysosomal degradation, allowing for the examination of dynamic pathway interactions and the evaluation of possible toxic mechanisms in the aggregation process. Four system perturbations: elevated alpha-synuclein aggregation, impaired dopamine packaging, increased neurotoxins, and alpha-synuclein overexpression, were analyzed for correlation to qualitative PD system hypotheses present in the literature, with the model demonstrating a high level of agreement with these hypotheses. Additionally, various PD treatment methods, including levadopa and monoamine oxidase inhibition (MAOI) therapy, were applied to the disease models to examine their effects on the system. Future additions and refinements to the model may further the understanding of the emergent behaviors of the disease, helping in the identification of system sensitivities and possible therapeutic targets. This model is hosted on BioModels Database and identified by: BIOMD0000000575. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Kuznetsov2016(II) - α-syn aggregation kinetics in Parkinson's This theoretical model uses 2-step Finke-Watzky (FW) kinetics todescribe the production, misfolding, aggregation, transport and degradation of α-syn that may lead to Parkinson's Disease (PD). Deregulated α-syn degradation is predicted to be crucialfor PD pathogenesis. This model is described in the article: What can trigger the onset of Parkinson's disease - A modeling study based on a compartmental model of α-synuclein transport and aggregation in neurons. Kuznetsov IA, Kuznetsov AV. Math Biosci 2016 Aug; 278: 22-29 Abstract: The aim of this paper is to develop a minimal model describing events leading to the onset of Parkinson's disease (PD). The model accounts for α-synuclein (α-syn) production in the soma, transport toward the synapse, misfolding, and aggregation. The production and aggregation of polymeric α-syn is simulated using a minimalistic 2-step Finke-Watzky model. We utilized the developed model to analyze what changes in a healthy neuron are likely to lead to the onset of α-syn aggregation. We checked the effects of interruption of α-syn transport toward the synapse, entry of misfolded (infectious) α-syn into the somatic and synaptic compartments, increasing the rate of α-syn synthesis in the soma, and failure of α-syn degradation machinery. Our model suggests that failure of α-syn degradation machinery is probably the most likely cause for the onset of α-syn aggregation leading to PD. This model is hosted on BioModels Database and identified by: BIOMD0000000615. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

Parkinson's disease genes VPS35 and EIF4G1 interact genetically and converge on alpha-synuclein

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets