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Quantitative indices of autophagy activity from minimal models

BACKGROUND: A number of cellular- and molecular-level studies of autophagy assessment have been carried out with the help of various biochemical and morphological indices. Still there exists ambiguity for the assessment of the autophagy status and of the causal relationship between autophagy and rel...

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Autores principales: Han, Kyungreem, Kim, Jinwoong, Choi, MooYoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4106221/
https://www.ncbi.nlm.nih.gov/pubmed/24997483
http://dx.doi.org/10.1186/1742-4682-11-31
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author Han, Kyungreem
Kim, Jinwoong
Choi, MooYoung
author_facet Han, Kyungreem
Kim, Jinwoong
Choi, MooYoung
author_sort Han, Kyungreem
collection PubMed
description BACKGROUND: A number of cellular- and molecular-level studies of autophagy assessment have been carried out with the help of various biochemical and morphological indices. Still there exists ambiguity for the assessment of the autophagy status and of the causal relationship between autophagy and related cellular changes. To circumvent such difficulties, we probe new quantitative indices of autophagy which are important for defining autophagy activation and further assessing its roles associated with different physiopathological states. METHODS: Our approach is based on the minimal autophagy model that allows us to understand underlying dynamics of autophagy from biological experiments. Specifically, based on the model, we reconstruct the experimental context-specific autophagy profiles from the target autophagy system, and two quantitative indices are defined from the model-driven profiles. The indices are then applied to the simulation-based analysis, for the specific and quantitative interpretation of the system. RESULTS: Two quantitative indices measuring autophagy activities in the induction of sequestration fluxes and in the selective degradation are proposed, based on the model-driven autophagy profiles such as the time evolution of autophagy fluxes, levels of autophagosomes/autolysosomes, and corresponding cellular changes. Further, with the help of the indices, those biological experiments of the target autophagy system have been successfully analyzed, implying that the indices are useful not only for defining autophagy activation but also for assessing its role in a specific and quantitative manner. CONCLUSIONS: Such quantitative autophagy indices in conjunction with the computer-aided analysis should provide new opportunities to characterize the causal relationship between autophagy activity and the corresponding cellular change, based on the system-level understanding of the autophagic process at good time resolution, complementing the current in vivo and in vitro assays.
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spelling pubmed-41062212014-08-04 Quantitative indices of autophagy activity from minimal models Han, Kyungreem Kim, Jinwoong Choi, MooYoung Theor Biol Med Model Research BACKGROUND: A number of cellular- and molecular-level studies of autophagy assessment have been carried out with the help of various biochemical and morphological indices. Still there exists ambiguity for the assessment of the autophagy status and of the causal relationship between autophagy and related cellular changes. To circumvent such difficulties, we probe new quantitative indices of autophagy which are important for defining autophagy activation and further assessing its roles associated with different physiopathological states. METHODS: Our approach is based on the minimal autophagy model that allows us to understand underlying dynamics of autophagy from biological experiments. Specifically, based on the model, we reconstruct the experimental context-specific autophagy profiles from the target autophagy system, and two quantitative indices are defined from the model-driven profiles. The indices are then applied to the simulation-based analysis, for the specific and quantitative interpretation of the system. RESULTS: Two quantitative indices measuring autophagy activities in the induction of sequestration fluxes and in the selective degradation are proposed, based on the model-driven autophagy profiles such as the time evolution of autophagy fluxes, levels of autophagosomes/autolysosomes, and corresponding cellular changes. Further, with the help of the indices, those biological experiments of the target autophagy system have been successfully analyzed, implying that the indices are useful not only for defining autophagy activation but also for assessing its role in a specific and quantitative manner. CONCLUSIONS: Such quantitative autophagy indices in conjunction with the computer-aided analysis should provide new opportunities to characterize the causal relationship between autophagy activity and the corresponding cellular change, based on the system-level understanding of the autophagic process at good time resolution, complementing the current in vivo and in vitro assays. BioMed Central 2014-07-06 /pmc/articles/PMC4106221/ /pubmed/24997483 http://dx.doi.org/10.1186/1742-4682-11-31 Text en Copyright © 2014 Han et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Han, Kyungreem
Kim, Jinwoong
Choi, MooYoung
Quantitative indices of autophagy activity from minimal models
title Quantitative indices of autophagy activity from minimal models
title_full Quantitative indices of autophagy activity from minimal models
title_fullStr Quantitative indices of autophagy activity from minimal models
title_full_unstemmed Quantitative indices of autophagy activity from minimal models
title_short Quantitative indices of autophagy activity from minimal models
title_sort quantitative indices of autophagy activity from minimal models
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4106221/
https://www.ncbi.nlm.nih.gov/pubmed/24997483
http://dx.doi.org/10.1186/1742-4682-11-31
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