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A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics

Mass spectrometry is a widely used technology to identify and quantify biomolecules such as lipids, metabolites and proteins necessary for biomedical research. In this study, we catalogued freely available software tools, libraries, databases, repositories and resources that support lipidomics data...

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Autores principales: Hoffmann, Nils, Mayer, Gerhard, Has, Canan, Kopczynski, Dominik, Al Machot, Fadi, Schwudke, Dominik, Ahrends, Robert, Marcus, Katrin, Eisenacher, Martin, Turewicz, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319858/
https://www.ncbi.nlm.nih.gov/pubmed/35888710
http://dx.doi.org/10.3390/metabo12070584
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author Hoffmann, Nils
Mayer, Gerhard
Has, Canan
Kopczynski, Dominik
Al Machot, Fadi
Schwudke, Dominik
Ahrends, Robert
Marcus, Katrin
Eisenacher, Martin
Turewicz, Michael
author_facet Hoffmann, Nils
Mayer, Gerhard
Has, Canan
Kopczynski, Dominik
Al Machot, Fadi
Schwudke, Dominik
Ahrends, Robert
Marcus, Katrin
Eisenacher, Martin
Turewicz, Michael
author_sort Hoffmann, Nils
collection PubMed
description Mass spectrometry is a widely used technology to identify and quantify biomolecules such as lipids, metabolites and proteins necessary for biomedical research. In this study, we catalogued freely available software tools, libraries, databases, repositories and resources that support lipidomics data analysis and determined the scope of currently used analytical technologies. Because of the tremendous importance of data interoperability, we assessed the support of standardized data formats in mass spectrometric (MS)-based lipidomics workflows. We included tools in our comparison that support targeted as well as untargeted analysis using direct infusion/shotgun (DI-MS), liquid chromatography−mass spectrometry, ion mobility or MS imaging approaches on MS(1) and potentially higher MS levels. As a result, we determined that the Human Proteome Organization-Proteomics Standards Initiative standard data formats, mzML and mzTab-M, are already supported by a substantial number of recent software tools. We further discuss how mzTab-M can serve as a bridge between data acquisition and lipid bioinformatics tools for interpretation, capturing their output and transmitting rich annotated data for downstream processing. However, we identified several challenges of currently available tools and standards. Potential areas for improvement were: adaptation of common nomenclature and standardized reporting to enable high throughput lipidomics and improve its data handling. Finally, we suggest specific areas where tools and repositories need to improve to become FAIRer.
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spelling pubmed-93198582022-07-27 A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics Hoffmann, Nils Mayer, Gerhard Has, Canan Kopczynski, Dominik Al Machot, Fadi Schwudke, Dominik Ahrends, Robert Marcus, Katrin Eisenacher, Martin Turewicz, Michael Metabolites Review Mass spectrometry is a widely used technology to identify and quantify biomolecules such as lipids, metabolites and proteins necessary for biomedical research. In this study, we catalogued freely available software tools, libraries, databases, repositories and resources that support lipidomics data analysis and determined the scope of currently used analytical technologies. Because of the tremendous importance of data interoperability, we assessed the support of standardized data formats in mass spectrometric (MS)-based lipidomics workflows. We included tools in our comparison that support targeted as well as untargeted analysis using direct infusion/shotgun (DI-MS), liquid chromatography−mass spectrometry, ion mobility or MS imaging approaches on MS(1) and potentially higher MS levels. As a result, we determined that the Human Proteome Organization-Proteomics Standards Initiative standard data formats, mzML and mzTab-M, are already supported by a substantial number of recent software tools. We further discuss how mzTab-M can serve as a bridge between data acquisition and lipid bioinformatics tools for interpretation, capturing their output and transmitting rich annotated data for downstream processing. However, we identified several challenges of currently available tools and standards. Potential areas for improvement were: adaptation of common nomenclature and standardized reporting to enable high throughput lipidomics and improve its data handling. Finally, we suggest specific areas where tools and repositories need to improve to become FAIRer. MDPI 2022-06-23 /pmc/articles/PMC9319858/ /pubmed/35888710 http://dx.doi.org/10.3390/metabo12070584 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Hoffmann, Nils
Mayer, Gerhard
Has, Canan
Kopczynski, Dominik
Al Machot, Fadi
Schwudke, Dominik
Ahrends, Robert
Marcus, Katrin
Eisenacher, Martin
Turewicz, Michael
A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics
title A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics
title_full A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics
title_fullStr A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics
title_full_unstemmed A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics
title_short A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics
title_sort current encyclopedia of bioinformatics tools, data formats and resources for mass spectrometry lipidomics
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319858/
https://www.ncbi.nlm.nih.gov/pubmed/35888710
http://dx.doi.org/10.3390/metabo12070584
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