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Ion Mobility Derived Collision Cross Sections to Support Metabolomics Applications

[Image: see text] Metabolomics is a rapidly evolving analytical approach in life and health sciences. The structural elucidation of the metabolites of interest remains a major analytical challenge in the metabolomics workflow. Here, we investigate the use of ion mobility as a tool to aid metabolite...

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Autores principales: Paglia, Giuseppe, Williams, Jonathan P., Menikarachchi, Lochana, Thompson, J. Will, Tyldesley-Worster, Richard, Halldórsson, Skarphédinn, Rolfsson, Ottar, Moseley, Arthur, Grant, David, Langridge, James, Palsson, Bernhard O., Astarita, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2014
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4004193/
https://www.ncbi.nlm.nih.gov/pubmed/24640936
http://dx.doi.org/10.1021/ac500405x
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author Paglia, Giuseppe
Williams, Jonathan P.
Menikarachchi, Lochana
Thompson, J. Will
Tyldesley-Worster, Richard
Halldórsson, Skarphédinn
Rolfsson, Ottar
Moseley, Arthur
Grant, David
Langridge, James
Palsson, Bernhard O.
Astarita, Giuseppe
author_facet Paglia, Giuseppe
Williams, Jonathan P.
Menikarachchi, Lochana
Thompson, J. Will
Tyldesley-Worster, Richard
Halldórsson, Skarphédinn
Rolfsson, Ottar
Moseley, Arthur
Grant, David
Langridge, James
Palsson, Bernhard O.
Astarita, Giuseppe
author_sort Paglia, Giuseppe
collection PubMed
description [Image: see text] Metabolomics is a rapidly evolving analytical approach in life and health sciences. The structural elucidation of the metabolites of interest remains a major analytical challenge in the metabolomics workflow. Here, we investigate the use of ion mobility as a tool to aid metabolite identification. Ion mobility allows for the measurement of the rotationally averaged collision cross-section (CCS), which gives information about the ionic shape of a molecule in the gas phase. We measured the CCSs of 125 common metabolites using traveling-wave ion mobility-mass spectrometry (TW-IM-MS). CCS measurements were highly reproducible on instruments located in three independent laboratories (RSD < 5% for 99%). We also determined the reproducibility of CCS measurements in various biological matrixes including urine, plasma, platelets, and red blood cells using ultra performance liquid chromatography (UPLC) coupled with TW-IM-MS. The mean RSD was < 2% for 97% of the CCS values, compared to 80% of retention times. Finally, as proof of concept, we used UPLC–TW-IM-MS to compare the cellular metabolome of epithelial and mesenchymal cells, an in vitro model used to study cancer development. Experimentally determined and computationally derived CCS values were used as orthogonal analytical parameters in combination with retention time and accurate mass information to confirm the identity of key metabolites potentially involved in cancer. Thus, our results indicate that adding CCS data to searchable databases and to routine metabolomics workflows will increase the identification confidence compared to traditional analytical approaches.
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spelling pubmed-40041932015-03-18 Ion Mobility Derived Collision Cross Sections to Support Metabolomics Applications Paglia, Giuseppe Williams, Jonathan P. Menikarachchi, Lochana Thompson, J. Will Tyldesley-Worster, Richard Halldórsson, Skarphédinn Rolfsson, Ottar Moseley, Arthur Grant, David Langridge, James Palsson, Bernhard O. Astarita, Giuseppe Anal Chem [Image: see text] Metabolomics is a rapidly evolving analytical approach in life and health sciences. The structural elucidation of the metabolites of interest remains a major analytical challenge in the metabolomics workflow. Here, we investigate the use of ion mobility as a tool to aid metabolite identification. Ion mobility allows for the measurement of the rotationally averaged collision cross-section (CCS), which gives information about the ionic shape of a molecule in the gas phase. We measured the CCSs of 125 common metabolites using traveling-wave ion mobility-mass spectrometry (TW-IM-MS). CCS measurements were highly reproducible on instruments located in three independent laboratories (RSD < 5% for 99%). We also determined the reproducibility of CCS measurements in various biological matrixes including urine, plasma, platelets, and red blood cells using ultra performance liquid chromatography (UPLC) coupled with TW-IM-MS. The mean RSD was < 2% for 97% of the CCS values, compared to 80% of retention times. Finally, as proof of concept, we used UPLC–TW-IM-MS to compare the cellular metabolome of epithelial and mesenchymal cells, an in vitro model used to study cancer development. Experimentally determined and computationally derived CCS values were used as orthogonal analytical parameters in combination with retention time and accurate mass information to confirm the identity of key metabolites potentially involved in cancer. Thus, our results indicate that adding CCS data to searchable databases and to routine metabolomics workflows will increase the identification confidence compared to traditional analytical approaches. American Chemical Society 2014-03-18 2014-04-15 /pmc/articles/PMC4004193/ /pubmed/24640936 http://dx.doi.org/10.1021/ac500405x Text en Copyright © 2014 American Chemical Society
spellingShingle Paglia, Giuseppe
Williams, Jonathan P.
Menikarachchi, Lochana
Thompson, J. Will
Tyldesley-Worster, Richard
Halldórsson, Skarphédinn
Rolfsson, Ottar
Moseley, Arthur
Grant, David
Langridge, James
Palsson, Bernhard O.
Astarita, Giuseppe
Ion Mobility Derived Collision Cross Sections to Support Metabolomics Applications
title Ion Mobility Derived Collision Cross Sections to Support Metabolomics Applications
title_full Ion Mobility Derived Collision Cross Sections to Support Metabolomics Applications
title_fullStr Ion Mobility Derived Collision Cross Sections to Support Metabolomics Applications
title_full_unstemmed Ion Mobility Derived Collision Cross Sections to Support Metabolomics Applications
title_short Ion Mobility Derived Collision Cross Sections to Support Metabolomics Applications
title_sort ion mobility derived collision cross sections to support metabolomics applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4004193/
https://www.ncbi.nlm.nih.gov/pubmed/24640936
http://dx.doi.org/10.1021/ac500405x
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