MRMQuant: Automated MRM Data Quantitation for Large-Scale Targeted Metabolomics Analysis

Ke Shiuan Lynn*, Hsiang Yu Tang, Chi Jen Lo, Cheng Hung Yang, Yi Ting Tseng, Mei Ling Cheng

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

2 Scopus citations

Abstract

Multiple reaction monitoring (MRM) is a powerful and popular technique used for metabolite quantification in targeted metabolomics. Accurate and consistent quantitation of metabolites from the MRM data is essential for subsequent analyses. Here, we developed an automated tool, MRMQuant, for targeted metabolomic quantitation using high-throughput liquid chromatography-tandem mass spectrometry MRM data to provide users with an easy-to-use tool for accurate MRM data quantitation with minimal human intervention. This tool has many user-friendly functions and features to inspect and correct the quantitation results as required. MRMQuant possesses the following features to ensure accurate quantitation: (1) dynamic signal smoothing, (2) automatic deconvolution of coeluted peaks, (3) absolute quantitation via standard curves and/or internal standards, (4) visualized inspection and correction, (5) corrections applicable to multiple samples, and (6) batch-effect correction.

Original languageEnglish
Pages (from-to)13625-13635
Number of pages11
JournalAnalytical Chemistry
Volume96
Issue number33
DOIs
StatePublished - 20 08 2024

Bibliographical note

Publisher Copyright:
© 2024 The Authors. Published by American Chemical Society.

Keywords

  • Metabolomics/methods
  • Tandem Mass Spectrometry/methods
  • Humans
  • Automation
  • Chromatography, Liquid/methods
  • Software

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