Modeling the UPR in neurodegenaration

Abstract

Event Abstract Back to Event Modeling the UPR in neurodegenaration Georgia Theocharopoulou1* and Catherine Bobori1* 1 Ionian University, Informatics, Greece Neurodegenerative diseases are characterized by problems in protein synthesis causing misfolded proteins. Unfolded protein response (UPR), a cellular stress response, has a role in the accumulation of unfolded or misfolded proteins, using four basic functions. In Huntington’s Disease it has been observed that there is an amount of misfolded huntingtin in the cytoplasm, as well as reduced amount of molecular chaperones leading to the reduction of their role. Molecular chaperones, are proteins, which act in a dynamic manner in cases of stress or misfolding, and are involved in the quality control system of the cell. Age –related changes in the mechanisms of chaperones action, lead to the eventual failure of protein defense system. Deciphering protein-protein interactions will help to the identification of specific causal pathways in protein aggregation and better understanding of the unfolded protein response. This work will use neuroinformatics’ methods in order to design in vitro techniques that will examine the density of chaperones in HD cells, as well as the effectiveness of the UPR. The elucidation of the complex response of UPR will help to test new therapeutic strategies against neurodegenerative diseases. References Saibil, Helen. "Chaperone machines for protein folding, unfolding and disaggregation." Nature reviews Molecular cell biology 14.10 (2013): 630-642. Kalathur, Ravi Kiran Reddy, et al. "The unfolded protein response and its potential role in Huntington ́s disease elucidated by a systems biology approach." F1000Research 4 (2015). Mittal, Jeetain, and Robert B. Best. "Dependence of protein folding stability and dynamics on the density and composition of macromolecular crowders." Biophysical journal 98.2 (2010): 315-320. Kumaraswamy, Priyadharshini, Swaminathan Sethuraman, and Uma Maheswari Krishnan. "Designing In Vitro Strategies and In Vivo Models for Alzheimer's Disease-Promises & Challenges." Current Alzheimer Research 11.6 (2014): 588-607. Braakman, Ineke, and Daniel N. Hebert. "Protein folding in the endoplasmic reticulum." Cold Spring Harbor perspectives in biology 5.5 (2013): a013201. Bortolussi, Luca, and Alberto Policriti. "Modeling biological systems in stochastic concurrent constraint programming." Constraints 13.1-2 (2008): 66-90. Kaufman, Randal J. "Orchestrating the unfolded protein response in health and disease." The Journal of clinical investigation 110.10 (2002): 1389-1398. Wetie, Armand G. Ngounou, et al. "Protein–protein interactions: switch from classical methods to proteomics and bioinformatics-based approaches." Cellular and Molecular Life Sciences 71.2 (2014): 205-228. Keywords: Neurodegenaration, Huntington Disease, Computational models, chaperones, unfolded protein response (UPR) Conference: Neuroinformatics 2016, Reading, United Kingdom, 3 Sep - 4 Sep, 2016. Presentation Type: Poster Topic: Computational neuroscience Citation: Theocharopoulou G and Bobori C (2016). Modeling the UPR in neurodegenaration. Front. Neuroinform. Conference Abstract: Neuroinformatics 2016. doi: 10.3389/conf.fninf.2016.20.00066 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 31 May 2016; Published Online: 18 Jul 2016. * Correspondence: Mrs. Georgia Theocharopoulou, Ionian University, Informatics, CORFU, 49100, Greece, zeta.theo@ionio.gr Mrs. Catherine Bobori, Ionian University, Informatics, CORFU, 49100, Greece, tero-nana@windowslive.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Georgia Theocharopoulou Catherine Bobori Google Georgia Theocharopoulou Catherine Bobori Google Scholar Georgia Theocharopoulou Catherine Bobori PubMed Georgia Theocharopoulou Catherine Bobori Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.