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An automated growth enclosure for metabolic labeling of Arabidopsis thaliana with (13)C-carbon dioxide - an in vivo labeling system for proteomics and metabolomics research

BACKGROUND: Labeling whole Arabidopsis (Arabidopsis thaliana) plants to high enrichment with (13)C for proteomics and metabolomics applications would facilitate experimental approaches not possible by conventional methods. Such a system would use the plant's native capacity for carbon fixation...

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Autores principales: Chen, Wen-Ping, Yang, Xiao-Yuan, Harms, Geoffrey L, Gray, William M, Hegeman, Adrian D, Cohen, Jerry D
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3046907/
https://www.ncbi.nlm.nih.gov/pubmed/21310072
http://dx.doi.org/10.1186/1477-5956-9-9
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author Chen, Wen-Ping
Yang, Xiao-Yuan
Harms, Geoffrey L
Gray, William M
Hegeman, Adrian D
Cohen, Jerry D
author_facet Chen, Wen-Ping
Yang, Xiao-Yuan
Harms, Geoffrey L
Gray, William M
Hegeman, Adrian D
Cohen, Jerry D
author_sort Chen, Wen-Ping
collection PubMed
description BACKGROUND: Labeling whole Arabidopsis (Arabidopsis thaliana) plants to high enrichment with (13)C for proteomics and metabolomics applications would facilitate experimental approaches not possible by conventional methods. Such a system would use the plant's native capacity for carbon fixation to ubiquitously incorporate (13)C from (13)CO(2 )gas. Because of the high cost of (13)CO(2 )it is critical that the design conserve the labeled gas. RESULTS: A fully enclosed automated plant growth enclosure has been designed and assembled where the system simultaneously monitors humidity, temperature, pressure and (13)CO(2 )concentration with continuous adjustment of humidity, pressure and (13)CO(2 )levels controlled by a computer running LabView software. The enclosure is mounted on a movable cart for mobility among growth environments. Arabidopsis was grown in the enclosure for up to 8 weeks and obtained on average >95 atom% enrichment for small metabolites, such as amino acids and >91 atom% for large metabolites, including proteins and peptides. CONCLUSION: The capability of this labeling system for isotope dilution experiments was demonstrated by evaluation of amino acid turnover using GC-MS as well as protein turnover using LC-MS/MS. Because this 'open source' Arabidopsis (13)C-labeling growth environment was built using readily available materials and software, it can be adapted easily to accommodate many different experimental designs.
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spelling pubmed-30469072011-03-02 An automated growth enclosure for metabolic labeling of Arabidopsis thaliana with (13)C-carbon dioxide - an in vivo labeling system for proteomics and metabolomics research Chen, Wen-Ping Yang, Xiao-Yuan Harms, Geoffrey L Gray, William M Hegeman, Adrian D Cohen, Jerry D Proteome Sci Methodology BACKGROUND: Labeling whole Arabidopsis (Arabidopsis thaliana) plants to high enrichment with (13)C for proteomics and metabolomics applications would facilitate experimental approaches not possible by conventional methods. Such a system would use the plant's native capacity for carbon fixation to ubiquitously incorporate (13)C from (13)CO(2 )gas. Because of the high cost of (13)CO(2 )it is critical that the design conserve the labeled gas. RESULTS: A fully enclosed automated plant growth enclosure has been designed and assembled where the system simultaneously monitors humidity, temperature, pressure and (13)CO(2 )concentration with continuous adjustment of humidity, pressure and (13)CO(2 )levels controlled by a computer running LabView software. The enclosure is mounted on a movable cart for mobility among growth environments. Arabidopsis was grown in the enclosure for up to 8 weeks and obtained on average >95 atom% enrichment for small metabolites, such as amino acids and >91 atom% for large metabolites, including proteins and peptides. CONCLUSION: The capability of this labeling system for isotope dilution experiments was demonstrated by evaluation of amino acid turnover using GC-MS as well as protein turnover using LC-MS/MS. Because this 'open source' Arabidopsis (13)C-labeling growth environment was built using readily available materials and software, it can be adapted easily to accommodate many different experimental designs. BioMed Central 2011-02-10 /pmc/articles/PMC3046907/ /pubmed/21310072 http://dx.doi.org/10.1186/1477-5956-9-9 Text en Copyright ©2011 Chen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology
Chen, Wen-Ping
Yang, Xiao-Yuan
Harms, Geoffrey L
Gray, William M
Hegeman, Adrian D
Cohen, Jerry D
An automated growth enclosure for metabolic labeling of Arabidopsis thaliana with (13)C-carbon dioxide - an in vivo labeling system for proteomics and metabolomics research
title An automated growth enclosure for metabolic labeling of Arabidopsis thaliana with (13)C-carbon dioxide - an in vivo labeling system for proteomics and metabolomics research
title_full An automated growth enclosure for metabolic labeling of Arabidopsis thaliana with (13)C-carbon dioxide - an in vivo labeling system for proteomics and metabolomics research
title_fullStr An automated growth enclosure for metabolic labeling of Arabidopsis thaliana with (13)C-carbon dioxide - an in vivo labeling system for proteomics and metabolomics research
title_full_unstemmed An automated growth enclosure for metabolic labeling of Arabidopsis thaliana with (13)C-carbon dioxide - an in vivo labeling system for proteomics and metabolomics research
title_short An automated growth enclosure for metabolic labeling of Arabidopsis thaliana with (13)C-carbon dioxide - an in vivo labeling system for proteomics and metabolomics research
title_sort automated growth enclosure for metabolic labeling of arabidopsis thaliana with (13)c-carbon dioxide - an in vivo labeling system for proteomics and metabolomics research
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3046907/
https://www.ncbi.nlm.nih.gov/pubmed/21310072
http://dx.doi.org/10.1186/1477-5956-9-9
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