TarMet: a Reactive GUI Tool for Efficient and Confident Quantification of MS Based Targeted Metabolic and Stable Isotope Tracer Analysis

Overview

Journal Metabolomics

Publisher Springer

Specialty Endocrinology

Date 2019 Mar 5

PMID 30830368

Citations 1

Authors

Hongchao Ji

Zhimin Zhang

Hongmei Lu

Affiliations

Soon will be listed here.

Abstract

Introduction: Untargeted and targeted analyses are two classes of metabolic study. Both strategies have been advanced by high resolution mass spectrometers coupled with chromatography, which have the advantages of high mass sensitivity and accuracy. State-of-art methods for mass spectrometric data sets do not always quantify metabolites of interest in a targeted assay efficiently and accurately.

Objectives: TarMet can quantify targeted metabolites as well as their isotopologues through a reactive and user-friendly graphical user interface.

Methods: TarMet accepts vendor-neutral data files (NetCDF, mzXML and mzML) as inputs. Then it extracts ion chromatograms, detects peak position and bounds and confirms the metabolites via the isotope patterns. It can integrate peak areas for all isotopologues automatically.

Results: TarMet detects more isotopologues and quantify them better than state-of-art methods, and it can process isotope tracer assay well.

Conclusion: TarMet is a better tool for targeted metabolic and stable isotope tracer analyses.

Citing Articles

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

Gomez J, Wall M, Rahim M, Kambhampati S, Evans B, Allen D Bioinformatics. 2023; 39(11).

PMID: 37889279 PMC: 10636274. DOI: 10.1093/bioinformatics/btad661.

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