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R-MetaboList 2: A Flexible Tool for Metabolite Annotation from High-Resolution Data-Independent Acquisition Mass Spectrometry Analysis

Technological advancements have permitted the development of innovative multiplexing strategies for data independent acquisition (DIA) mass spectrometry (MS). Software solutions and extensive compound libraries facilitate the efficient analysis of MS(1) data, regardless of the analytical platform. H...

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Autores principales: Peris-Díaz, Manuel D., Sweeney, Shannon R., Rodak, Olga, Sentandreu, Enrique, Tiziani, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6780920/
https://www.ncbi.nlm.nih.gov/pubmed/31533242
http://dx.doi.org/10.3390/metabo9090187
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author Peris-Díaz, Manuel D.
Sweeney, Shannon R.
Rodak, Olga
Sentandreu, Enrique
Tiziani, Stefano
author_facet Peris-Díaz, Manuel D.
Sweeney, Shannon R.
Rodak, Olga
Sentandreu, Enrique
Tiziani, Stefano
author_sort Peris-Díaz, Manuel D.
collection PubMed
description Technological advancements have permitted the development of innovative multiplexing strategies for data independent acquisition (DIA) mass spectrometry (MS). Software solutions and extensive compound libraries facilitate the efficient analysis of MS(1) data, regardless of the analytical platform. However, the development of comparable tools for DIA data analysis has significantly lagged. This research introduces an update to the former MetaboList R package and a workflow for full-scan MS(1) and MS/MS DIA processing of metabolomic data from multiplexed liquid chromatography high-resolution mass spectrometry (LC-HRMS) experiments. When compared to the former version, new functions have been added to address isolated MS(1) and MS/MS workflows, processing of MS/MS data from stepped collision energies, performance scoring of metabolite annotations, and batch job analysis were incorporated into the update. The flexibility and efficiency of this strategy were assessed through the study of the metabolite profiles of human urine, leukemia cell culture, and medium samples analyzed by either liquid chromatography quadrupole time-of-flight (q-TOF) or quadrupole orbital (q-Orbitrap) instruments. This open-source alternative was designed to promote global metabolomic strategies based on recursive retrospective research of multiplexed DIA analysis.
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spelling pubmed-67809202019-10-30 R-MetaboList 2: A Flexible Tool for Metabolite Annotation from High-Resolution Data-Independent Acquisition Mass Spectrometry Analysis Peris-Díaz, Manuel D. Sweeney, Shannon R. Rodak, Olga Sentandreu, Enrique Tiziani, Stefano Metabolites Article Technological advancements have permitted the development of innovative multiplexing strategies for data independent acquisition (DIA) mass spectrometry (MS). Software solutions and extensive compound libraries facilitate the efficient analysis of MS(1) data, regardless of the analytical platform. However, the development of comparable tools for DIA data analysis has significantly lagged. This research introduces an update to the former MetaboList R package and a workflow for full-scan MS(1) and MS/MS DIA processing of metabolomic data from multiplexed liquid chromatography high-resolution mass spectrometry (LC-HRMS) experiments. When compared to the former version, new functions have been added to address isolated MS(1) and MS/MS workflows, processing of MS/MS data from stepped collision energies, performance scoring of metabolite annotations, and batch job analysis were incorporated into the update. The flexibility and efficiency of this strategy were assessed through the study of the metabolite profiles of human urine, leukemia cell culture, and medium samples analyzed by either liquid chromatography quadrupole time-of-flight (q-TOF) or quadrupole orbital (q-Orbitrap) instruments. This open-source alternative was designed to promote global metabolomic strategies based on recursive retrospective research of multiplexed DIA analysis. MDPI 2019-09-17 /pmc/articles/PMC6780920/ /pubmed/31533242 http://dx.doi.org/10.3390/metabo9090187 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Peris-Díaz, Manuel D.
Sweeney, Shannon R.
Rodak, Olga
Sentandreu, Enrique
Tiziani, Stefano
R-MetaboList 2: A Flexible Tool for Metabolite Annotation from High-Resolution Data-Independent Acquisition Mass Spectrometry Analysis
title R-MetaboList 2: A Flexible Tool for Metabolite Annotation from High-Resolution Data-Independent Acquisition Mass Spectrometry Analysis
title_full R-MetaboList 2: A Flexible Tool for Metabolite Annotation from High-Resolution Data-Independent Acquisition Mass Spectrometry Analysis
title_fullStr R-MetaboList 2: A Flexible Tool for Metabolite Annotation from High-Resolution Data-Independent Acquisition Mass Spectrometry Analysis
title_full_unstemmed R-MetaboList 2: A Flexible Tool for Metabolite Annotation from High-Resolution Data-Independent Acquisition Mass Spectrometry Analysis
title_short R-MetaboList 2: A Flexible Tool for Metabolite Annotation from High-Resolution Data-Independent Acquisition Mass Spectrometry Analysis
title_sort r-metabolist 2: a flexible tool for metabolite annotation from high-resolution data-independent acquisition mass spectrometry analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6780920/
https://www.ncbi.nlm.nih.gov/pubmed/31533242
http://dx.doi.org/10.3390/metabo9090187
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