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LipidBlast Templates As Flexible Tools for Creating New in-Silico Tandem Mass Spectral Libraries

[Image: see text] Tandem mass spectral libraries (MS/MS) are usually built by acquiring experimentally measured mass spectra from chemical reference compounds. We here show the versatility of in-silico or computer generated tandem mass spectra that are directly obtained from compound structures. We...

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Autores principales: Kind, Tobias, Okazaki, Yozo, Saito, Kazuki, Fiehn, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2014
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4238643/
https://www.ncbi.nlm.nih.gov/pubmed/25340521
http://dx.doi.org/10.1021/ac502511a
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author Kind, Tobias
Okazaki, Yozo
Saito, Kazuki
Fiehn, Oliver
author_facet Kind, Tobias
Okazaki, Yozo
Saito, Kazuki
Fiehn, Oliver
author_sort Kind, Tobias
collection PubMed
description [Image: see text] Tandem mass spectral libraries (MS/MS) are usually built by acquiring experimentally measured mass spectra from chemical reference compounds. We here show the versatility of in-silico or computer generated tandem mass spectra that are directly obtained from compound structures. We use the freely available LipidBlast development software to generate 15 000 MS/MS spectra of the glucuronosyldiacylglycerol (GlcADG) lipid class, recently discovered for the first time in plants. The generation of such an in-silico MS/MS library for positive and negative ionization mode took 5 h development time, including the validation of the obtained mass spectra. Such libraries allow for high-throughput annotations of previously unknown glycolipids. The publicly available LipidBlast templates are universally applicable for the development of MS/MS libraries for novel lipid classes.
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spelling pubmed-42386432015-10-23 LipidBlast Templates As Flexible Tools for Creating New in-Silico Tandem Mass Spectral Libraries Kind, Tobias Okazaki, Yozo Saito, Kazuki Fiehn, Oliver Anal Chem [Image: see text] Tandem mass spectral libraries (MS/MS) are usually built by acquiring experimentally measured mass spectra from chemical reference compounds. We here show the versatility of in-silico or computer generated tandem mass spectra that are directly obtained from compound structures. We use the freely available LipidBlast development software to generate 15 000 MS/MS spectra of the glucuronosyldiacylglycerol (GlcADG) lipid class, recently discovered for the first time in plants. The generation of such an in-silico MS/MS library for positive and negative ionization mode took 5 h development time, including the validation of the obtained mass spectra. Such libraries allow for high-throughput annotations of previously unknown glycolipids. The publicly available LipidBlast templates are universally applicable for the development of MS/MS libraries for novel lipid classes. American Chemical Society 2014-10-23 2014-11-18 /pmc/articles/PMC4238643/ /pubmed/25340521 http://dx.doi.org/10.1021/ac502511a Text en Copyright © 2014 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Kind, Tobias
Okazaki, Yozo
Saito, Kazuki
Fiehn, Oliver
LipidBlast Templates As Flexible Tools for Creating New in-Silico Tandem Mass Spectral Libraries
title LipidBlast Templates As Flexible Tools for Creating New in-Silico Tandem Mass Spectral Libraries
title_full LipidBlast Templates As Flexible Tools for Creating New in-Silico Tandem Mass Spectral Libraries
title_fullStr LipidBlast Templates As Flexible Tools for Creating New in-Silico Tandem Mass Spectral Libraries
title_full_unstemmed LipidBlast Templates As Flexible Tools for Creating New in-Silico Tandem Mass Spectral Libraries
title_short LipidBlast Templates As Flexible Tools for Creating New in-Silico Tandem Mass Spectral Libraries
title_sort lipidblast templates as flexible tools for creating new in-silico tandem mass spectral libraries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4238643/
https://www.ncbi.nlm.nih.gov/pubmed/25340521
http://dx.doi.org/10.1021/ac502511a
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