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Exploring selective autophagy events in multiple biologic models using LC3-interacting regions (LIR)-based molecular traps
Autophagy is an essential cellular pathway that ensures degradation of a wide range of substrates including damaged organelles or large protein aggregates. Understanding how this proteolytic pathway is regulated would increase our comprehension on its role in cellular physiology and contribute to id...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090809/ https://www.ncbi.nlm.nih.gov/pubmed/35538106 http://dx.doi.org/10.1038/s41598-022-11417-z |
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author | Quinet, Grégoire Génin, Pierre Ozturk, Oznur Belgareh-Touzé, Naima Courtot, Lilas Legouis, Renaud Weil, Robert Cohen, Mickael M. Rodriguez, Manuel S. |
author_facet | Quinet, Grégoire Génin, Pierre Ozturk, Oznur Belgareh-Touzé, Naima Courtot, Lilas Legouis, Renaud Weil, Robert Cohen, Mickael M. Rodriguez, Manuel S. |
author_sort | Quinet, Grégoire |
collection | PubMed |
description | Autophagy is an essential cellular pathway that ensures degradation of a wide range of substrates including damaged organelles or large protein aggregates. Understanding how this proteolytic pathway is regulated would increase our comprehension on its role in cellular physiology and contribute to identify biomarkers or potential drug targets to develop more specific treatments for disease in which autophagy is dysregulated. Here, we report the development of molecular traps based in the tandem disposition of LC3-interacting regions (LIR). The estimated affinity of LC3-traps for distinct recombinant LC3/GABARAP proteins is in the low nanomolar range and allows the capture of these proteins from distinct mammalian cell lines, S. cerevisiae and C. elegans. LC3-traps show preferences for GABARAP/LGG1 or LC3/LGG2 and pull-down substrates targeted to proteaphagy and mitophagy. Therefore, LC3-traps are versatile tools that can be adapted to multiple applications to monitor selective autophagy events in distinct physiologic and pathologic circumstances. |
format | Online Article Text |
id | pubmed-9090809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90908092022-05-12 Exploring selective autophagy events in multiple biologic models using LC3-interacting regions (LIR)-based molecular traps Quinet, Grégoire Génin, Pierre Ozturk, Oznur Belgareh-Touzé, Naima Courtot, Lilas Legouis, Renaud Weil, Robert Cohen, Mickael M. Rodriguez, Manuel S. Sci Rep Article Autophagy is an essential cellular pathway that ensures degradation of a wide range of substrates including damaged organelles or large protein aggregates. Understanding how this proteolytic pathway is regulated would increase our comprehension on its role in cellular physiology and contribute to identify biomarkers or potential drug targets to develop more specific treatments for disease in which autophagy is dysregulated. Here, we report the development of molecular traps based in the tandem disposition of LC3-interacting regions (LIR). The estimated affinity of LC3-traps for distinct recombinant LC3/GABARAP proteins is in the low nanomolar range and allows the capture of these proteins from distinct mammalian cell lines, S. cerevisiae and C. elegans. LC3-traps show preferences for GABARAP/LGG1 or LC3/LGG2 and pull-down substrates targeted to proteaphagy and mitophagy. Therefore, LC3-traps are versatile tools that can be adapted to multiple applications to monitor selective autophagy events in distinct physiologic and pathologic circumstances. Nature Publishing Group UK 2022-05-10 /pmc/articles/PMC9090809/ /pubmed/35538106 http://dx.doi.org/10.1038/s41598-022-11417-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Quinet, Grégoire Génin, Pierre Ozturk, Oznur Belgareh-Touzé, Naima Courtot, Lilas Legouis, Renaud Weil, Robert Cohen, Mickael M. Rodriguez, Manuel S. Exploring selective autophagy events in multiple biologic models using LC3-interacting regions (LIR)-based molecular traps |
title | Exploring selective autophagy events in multiple biologic models using LC3-interacting regions (LIR)-based molecular traps |
title_full | Exploring selective autophagy events in multiple biologic models using LC3-interacting regions (LIR)-based molecular traps |
title_fullStr | Exploring selective autophagy events in multiple biologic models using LC3-interacting regions (LIR)-based molecular traps |
title_full_unstemmed | Exploring selective autophagy events in multiple biologic models using LC3-interacting regions (LIR)-based molecular traps |
title_short | Exploring selective autophagy events in multiple biologic models using LC3-interacting regions (LIR)-based molecular traps |
title_sort | exploring selective autophagy events in multiple biologic models using lc3-interacting regions (lir)-based molecular traps |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090809/ https://www.ncbi.nlm.nih.gov/pubmed/35538106 http://dx.doi.org/10.1038/s41598-022-11417-z |
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