Program for Integration and Rapid Analysis of Mass Isotopomer Distributions (PIRAMID)

Author:

Gomez Javier D1ORCID,Wall Martha L1,Rahim Mohsin1,Kambhampati Shrikaar2,Evans Bradley S2,Allen Doug K23,Antoniewicz Maciek R4,Young Jamey D15

Affiliation:

1. Department of Chemical and Biomolecular Engineering, Vanderbilt University , Nashville, TN, 37240, United States

2. Donald Danforth Plant Science Center , Olviette, MO, 63132, United States

3. United States Department of Agriculture, Agricultural Research Service , Washington, DC, 20250, United States

4. Department of Chemical Engineering, Massachusetts Institute of Technology , Cambridge, MA, 02139, United States

5. Department of Molecular Physiology and Biophysics, Vanderbilt University , Nashville, TN, 37240, United States

Abstract

Abstract 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. 2H, 13C, 15N, 18O, 34S). 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.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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