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Program for Integration and Rapid Analysis of Mass Isotopomer Distributions (PIRAMID)
SUMMARY: The analysis of stable isotope labeling experiments requires accurate, efficient, and reproducible quantification of mass isotopomer distributions (MIDs), which is not a core feature of general-purpose metabolomics software tools that are optimized to quantify metabolite abundance. Here, we...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636274/ https://www.ncbi.nlm.nih.gov/pubmed/37889279 http://dx.doi.org/10.1093/bioinformatics/btad661 |
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author | Gomez, Javier D Wall, Martha L Rahim, Mohsin Kambhampati, Shrikaar Evans, Bradley S Allen, Doug K Antoniewicz, Maciek R Young, Jamey D |
author_facet | Gomez, Javier D Wall, Martha L Rahim, Mohsin Kambhampati, Shrikaar Evans, Bradley S Allen, Doug K Antoniewicz, Maciek R Young, Jamey D |
author_sort | Gomez, Javier D |
collection | PubMed |
description | SUMMARY: The analysis of stable isotope labeling experiments requires accurate, efficient, and reproducible quantification of mass isotopomer distributions (MIDs), which is not a core feature of general-purpose metabolomics software tools that are optimized to quantify metabolite abundance. Here, we present PIRAMID (Program for Integration and Rapid Analysis of Mass Isotopomer Distributions), a MATLAB-based tool that addresses this need by offering a user-friendly, graphical user interface-driven program to automate the extraction of isotopic information from mass spectrometry (MS) datasets. This tool can simultaneously extract ion chromatograms for various metabolites from multiple data files in common vendor–agnostic file formats, locate chromatographic peaks based on a targeted list of characteristic ions and retention times, and integrate MIDs for each target ion. These MIDs can be corrected for natural isotopic background based on the user-defined molecular formula of each ion. PIRAMID offers support for datasets acquired from low- or high-resolution MS, and single (MS) or tandem (MS/MS) instruments. It also enables the analysis of single or dual labeling experiments using a variety of isotopes (i.e. (2)H, (13)C, (15)N, (18)O, (34)S). DATA AVAILABILITY AND IMPLEMENTATION: MATLAB p-code files are freely available for non-commercial use and can be downloaded from https://mfa.vueinnovations.com/. Commercial licenses are also available. All the data presented in this publication are available under the “Help_menu” folder of the PIRAMID software. |
format | Online Article Text |
id | pubmed-10636274 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106362742023-11-11 Program for Integration and Rapid Analysis of Mass Isotopomer Distributions (PIRAMID) Gomez, Javier D Wall, Martha L Rahim, Mohsin Kambhampati, Shrikaar Evans, Bradley S Allen, Doug K Antoniewicz, Maciek R Young, Jamey D Bioinformatics Applications Note SUMMARY: The analysis of stable isotope labeling experiments requires accurate, efficient, and reproducible quantification of mass isotopomer distributions (MIDs), which is not a core feature of general-purpose metabolomics software tools that are optimized to quantify metabolite abundance. Here, we present PIRAMID (Program for Integration and Rapid Analysis of Mass Isotopomer Distributions), a MATLAB-based tool that addresses this need by offering a user-friendly, graphical user interface-driven program to automate the extraction of isotopic information from mass spectrometry (MS) datasets. This tool can simultaneously extract ion chromatograms for various metabolites from multiple data files in common vendor–agnostic file formats, locate chromatographic peaks based on a targeted list of characteristic ions and retention times, and integrate MIDs for each target ion. These MIDs can be corrected for natural isotopic background based on the user-defined molecular formula of each ion. PIRAMID offers support for datasets acquired from low- or high-resolution MS, and single (MS) or tandem (MS/MS) instruments. It also enables the analysis of single or dual labeling experiments using a variety of isotopes (i.e. (2)H, (13)C, (15)N, (18)O, (34)S). DATA AVAILABILITY AND IMPLEMENTATION: MATLAB p-code files are freely available for non-commercial use and can be downloaded from https://mfa.vueinnovations.com/. Commercial licenses are also available. All the data presented in this publication are available under the “Help_menu” folder of the PIRAMID software. Oxford University Press 2023-10-27 /pmc/articles/PMC10636274/ /pubmed/37889279 http://dx.doi.org/10.1093/bioinformatics/btad661 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Gomez, Javier D Wall, Martha L Rahim, Mohsin Kambhampati, Shrikaar Evans, Bradley S Allen, Doug K Antoniewicz, Maciek R Young, Jamey D Program for Integration and Rapid Analysis of Mass Isotopomer Distributions (PIRAMID) |
title | Program for Integration and Rapid Analysis of Mass Isotopomer Distributions (PIRAMID) |
title_full | Program for Integration and Rapid Analysis of Mass Isotopomer Distributions (PIRAMID) |
title_fullStr | Program for Integration and Rapid Analysis of Mass Isotopomer Distributions (PIRAMID) |
title_full_unstemmed | Program for Integration and Rapid Analysis of Mass Isotopomer Distributions (PIRAMID) |
title_short | Program for Integration and Rapid Analysis of Mass Isotopomer Distributions (PIRAMID) |
title_sort | program for integration and rapid analysis of mass isotopomer distributions (piramid) |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636274/ https://www.ncbi.nlm.nih.gov/pubmed/37889279 http://dx.doi.org/10.1093/bioinformatics/btad661 |
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