Cargando…

Modelling the Role of UCH-L1 on Protein Aggregation in Age-Related Neurodegeneration

Overexpression of the de-ubiquitinating enzyme UCH-L1 leads to inclusion formation in response to proteasome impairment. These inclusions contain components of the ubiquitin-proteasome system and α-synuclein confirming that the ubiquitin-proteasome system plays an important role in protein aggregati...

Descripción completa

Detalles Bibliográficos
Autores principales: Proctor, Carole J., Tangeman, Paul J., Ardley, Helen C.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2950841/
https://www.ncbi.nlm.nih.gov/pubmed/20949132
http://dx.doi.org/10.1371/journal.pone.0013175
_version_ 1782187659838357504
author Proctor, Carole J.
Tangeman, Paul J.
Ardley, Helen C.
author_facet Proctor, Carole J.
Tangeman, Paul J.
Ardley, Helen C.
author_sort Proctor, Carole J.
collection PubMed
description Overexpression of the de-ubiquitinating enzyme UCH-L1 leads to inclusion formation in response to proteasome impairment. These inclusions contain components of the ubiquitin-proteasome system and α-synuclein confirming that the ubiquitin-proteasome system plays an important role in protein aggregation. The processes involved are very complex and so we have chosen to take a systems biology approach to examine the system whereby we combine mathematical modelling with experiments in an iterative process. The experiments show that cells are very heterogeneous with respect to inclusion formation and so we use stochastic simulation. The model shows that the variability is partly due to stochastic effects but also depends on protein expression levels of UCH-L1 within cells. The model also indicates that the aggregation process can start even before any proteasome inhibition is present, but that proteasome inhibition greatly accelerates aggregation progression. This leads to less efficient protein degradation and hence more aggregation suggesting that there is a vicious cycle. However, proteasome inhibition may not necessarily be the initiating event. Our combined modelling and experimental approach show that stochastic effects play an important role in the aggregation process and could explain the variability in the age of disease onset. Furthermore, our model provides a valuable tool, as it can be easily modified and extended to incorporate new experimental data, test hypotheses and make testable predictions.
format Text
id pubmed-2950841
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-29508412010-10-14 Modelling the Role of UCH-L1 on Protein Aggregation in Age-Related Neurodegeneration Proctor, Carole J. Tangeman, Paul J. Ardley, Helen C. PLoS One Research Article Overexpression of the de-ubiquitinating enzyme UCH-L1 leads to inclusion formation in response to proteasome impairment. These inclusions contain components of the ubiquitin-proteasome system and α-synuclein confirming that the ubiquitin-proteasome system plays an important role in protein aggregation. The processes involved are very complex and so we have chosen to take a systems biology approach to examine the system whereby we combine mathematical modelling with experiments in an iterative process. The experiments show that cells are very heterogeneous with respect to inclusion formation and so we use stochastic simulation. The model shows that the variability is partly due to stochastic effects but also depends on protein expression levels of UCH-L1 within cells. The model also indicates that the aggregation process can start even before any proteasome inhibition is present, but that proteasome inhibition greatly accelerates aggregation progression. This leads to less efficient protein degradation and hence more aggregation suggesting that there is a vicious cycle. However, proteasome inhibition may not necessarily be the initiating event. Our combined modelling and experimental approach show that stochastic effects play an important role in the aggregation process and could explain the variability in the age of disease onset. Furthermore, our model provides a valuable tool, as it can be easily modified and extended to incorporate new experimental data, test hypotheses and make testable predictions. Public Library of Science 2010-10-06 /pmc/articles/PMC2950841/ /pubmed/20949132 http://dx.doi.org/10.1371/journal.pone.0013175 Text en Proctor et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Proctor, Carole J.
Tangeman, Paul J.
Ardley, Helen C.
Modelling the Role of UCH-L1 on Protein Aggregation in Age-Related Neurodegeneration
title Modelling the Role of UCH-L1 on Protein Aggregation in Age-Related Neurodegeneration
title_full Modelling the Role of UCH-L1 on Protein Aggregation in Age-Related Neurodegeneration
title_fullStr Modelling the Role of UCH-L1 on Protein Aggregation in Age-Related Neurodegeneration
title_full_unstemmed Modelling the Role of UCH-L1 on Protein Aggregation in Age-Related Neurodegeneration
title_short Modelling the Role of UCH-L1 on Protein Aggregation in Age-Related Neurodegeneration
title_sort modelling the role of uch-l1 on protein aggregation in age-related neurodegeneration
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2950841/
https://www.ncbi.nlm.nih.gov/pubmed/20949132
http://dx.doi.org/10.1371/journal.pone.0013175
work_keys_str_mv AT proctorcarolej modellingtheroleofuchl1onproteinaggregationinagerelatedneurodegeneration
AT tangemanpaulj modellingtheroleofuchl1onproteinaggregationinagerelatedneurodegeneration
AT ardleyhelenc modellingtheroleofuchl1onproteinaggregationinagerelatedneurodegeneration