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Automated longitudinal monitoring of in vivo protein aggregation in neurodegenerative disease C. elegans models

BACKGROUND: While many biological studies can be performed on cell-based systems, the investigation of molecular pathways related to complex human dysfunctions – e.g. neurodegenerative diseases – often requires long-term studies in animal models. The nematode Caenorhabditis elegans represents one of...

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Autores principales: Cornaglia, Matteo, Krishnamani, Gopalan, Mouchiroud, Laurent, Sorrentino, Vincenzo, Lehnert, Thomas, Auwerx, Johan, Gijs, Martin A. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4746889/
https://www.ncbi.nlm.nih.gov/pubmed/26858201
http://dx.doi.org/10.1186/s13024-016-0083-6
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author Cornaglia, Matteo
Krishnamani, Gopalan
Mouchiroud, Laurent
Sorrentino, Vincenzo
Lehnert, Thomas
Auwerx, Johan
Gijs, Martin A. M.
author_facet Cornaglia, Matteo
Krishnamani, Gopalan
Mouchiroud, Laurent
Sorrentino, Vincenzo
Lehnert, Thomas
Auwerx, Johan
Gijs, Martin A. M.
author_sort Cornaglia, Matteo
collection PubMed
description BACKGROUND: While many biological studies can be performed on cell-based systems, the investigation of molecular pathways related to complex human dysfunctions – e.g. neurodegenerative diseases – often requires long-term studies in animal models. The nematode Caenorhabditis elegans represents one of the best model organisms for many of these tests and, therefore, versatile and automated systems for accurate time-resolved analyses on C. elegans are becoming highly desirable tools in the field. RESULTS: We describe a new multi-functional platform for C. elegans analytical research, enabling automated worm isolation and culture, reversible worm immobilization and long-term high-resolution imaging, and this under active control of the main culture parameters, including temperature. We employ our platform for in vivo observation of biomolecules and automated analysis of protein aggregation in a C. elegans model for amyotrophic lateral sclerosis (ALS). Our device allows monitoring the growth rate and development of each worm, at single animal resolution, within a matrix of microfluidic chambers. We demonstrate the progression of individual protein aggregates, i.e. mutated human superoxide dismutase 1 - Yellow Fluorescent Protein (SOD1-YFP) fusion proteins in the body wall muscles, for each worm and over several days. Moreover, by combining reversible worm immobilization and on-chip high-resolution imaging, our method allows precisely localizing the expression of biomolecules within the worms’ tissues, as well as monitoring the evolution of single aggregates over consecutive days at the sub-cellular level. We also show the suitability of our system for protein aggregation monitoring in a C. elegans Huntington disease (HD) model, and demonstrate the system’s ability to study long-term doxycycline treatment-linked modification of protein aggregation profiles in the ALS model. CONCLUSION: Our microfluidic-based method allows analyzing in vivo the long-term dynamics of protein aggregation phenomena in C. elegans at unprecedented resolution. Pharmacological screenings on neurodegenerative disease C. elegans models may strongly benefit from this method in the near future, because of its full automation and high-throughput potential. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13024-016-0083-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-47468892016-02-10 Automated longitudinal monitoring of in vivo protein aggregation in neurodegenerative disease C. elegans models Cornaglia, Matteo Krishnamani, Gopalan Mouchiroud, Laurent Sorrentino, Vincenzo Lehnert, Thomas Auwerx, Johan Gijs, Martin A. M. Mol Neurodegener Methodology BACKGROUND: While many biological studies can be performed on cell-based systems, the investigation of molecular pathways related to complex human dysfunctions – e.g. neurodegenerative diseases – often requires long-term studies in animal models. The nematode Caenorhabditis elegans represents one of the best model organisms for many of these tests and, therefore, versatile and automated systems for accurate time-resolved analyses on C. elegans are becoming highly desirable tools in the field. RESULTS: We describe a new multi-functional platform for C. elegans analytical research, enabling automated worm isolation and culture, reversible worm immobilization and long-term high-resolution imaging, and this under active control of the main culture parameters, including temperature. We employ our platform for in vivo observation of biomolecules and automated analysis of protein aggregation in a C. elegans model for amyotrophic lateral sclerosis (ALS). Our device allows monitoring the growth rate and development of each worm, at single animal resolution, within a matrix of microfluidic chambers. We demonstrate the progression of individual protein aggregates, i.e. mutated human superoxide dismutase 1 - Yellow Fluorescent Protein (SOD1-YFP) fusion proteins in the body wall muscles, for each worm and over several days. Moreover, by combining reversible worm immobilization and on-chip high-resolution imaging, our method allows precisely localizing the expression of biomolecules within the worms’ tissues, as well as monitoring the evolution of single aggregates over consecutive days at the sub-cellular level. We also show the suitability of our system for protein aggregation monitoring in a C. elegans Huntington disease (HD) model, and demonstrate the system’s ability to study long-term doxycycline treatment-linked modification of protein aggregation profiles in the ALS model. CONCLUSION: Our microfluidic-based method allows analyzing in vivo the long-term dynamics of protein aggregation phenomena in C. elegans at unprecedented resolution. Pharmacological screenings on neurodegenerative disease C. elegans models may strongly benefit from this method in the near future, because of its full automation and high-throughput potential. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13024-016-0083-6) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-09 /pmc/articles/PMC4746889/ /pubmed/26858201 http://dx.doi.org/10.1186/s13024-016-0083-6 Text en © Cornaglia et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Methodology
Cornaglia, Matteo
Krishnamani, Gopalan
Mouchiroud, Laurent
Sorrentino, Vincenzo
Lehnert, Thomas
Auwerx, Johan
Gijs, Martin A. M.
Automated longitudinal monitoring of in vivo protein aggregation in neurodegenerative disease C. elegans models
title Automated longitudinal monitoring of in vivo protein aggregation in neurodegenerative disease C. elegans models
title_full Automated longitudinal monitoring of in vivo protein aggregation in neurodegenerative disease C. elegans models
title_fullStr Automated longitudinal monitoring of in vivo protein aggregation in neurodegenerative disease C. elegans models
title_full_unstemmed Automated longitudinal monitoring of in vivo protein aggregation in neurodegenerative disease C. elegans models
title_short Automated longitudinal monitoring of in vivo protein aggregation in neurodegenerative disease C. elegans models
title_sort automated longitudinal monitoring of in vivo protein aggregation in neurodegenerative disease c. elegans models
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4746889/
https://www.ncbi.nlm.nih.gov/pubmed/26858201
http://dx.doi.org/10.1186/s13024-016-0083-6
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