Improving the quality of biomarker candidates in untargeted metabolomics via peak table-based alignment of comprehensive two-dimensional gas chromatography-mass spectrometry data

Heather Bean, Jane E. Hill, Jean Marie D Dimandja

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

The potential of high-resolution analytical technologies like GC. ×. GC/TOF MS in untargeted metabolomics and biomarker discovery has been limited by the development of fully automated software that can efficiently align and extract information from multiple chromatographic data sets. In this work we report the first investigation on a peak-by-peak basis of the chromatographic factors that impact GC. ×. GC data alignment. A representative set of 16 compounds of different chromatographic characteristics were followed through the alignment of 63 GC. ×. GC chromatograms. We found that varying the mass spectral match parameter had a significant influence on the alignment for poorly-resolved peaks, especially those at the extremes of the detector linear range, and no influence on well-chromatographed peaks. Therefore, optimized chromatography is required for proper GC. ×. GC data alignment. Based on these observations, a workflow is presented for the conservative selection of biomarker candidates from untargeted metabolomics analyses.

Original languageEnglish (US)
Pages (from-to)111-117
Number of pages7
JournalJournal of Chromatography A
Volume1394
DOIs
StatePublished - May 15 2015
Externally publishedYes

Fingerprint

Metabolomics
Biomarkers
Gas chromatography
Gas Chromatography-Mass Spectrometry
Mass spectrometry
Workflow
Chromatography
Software
Technology
Detectors
Datasets

Keywords

  • Biomarker
  • Comprehensive two-dimensional gas chromatography
  • Data alignment
  • GC×GC-MS
  • Untargeted metabolomics

ASJC Scopus subject areas

  • Analytical Chemistry
  • Organic Chemistry
  • Biochemistry
  • Medicine(all)

Cite this

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title = "Improving the quality of biomarker candidates in untargeted metabolomics via peak table-based alignment of comprehensive two-dimensional gas chromatography-mass spectrometry data",
abstract = "The potential of high-resolution analytical technologies like GC. ×. GC/TOF MS in untargeted metabolomics and biomarker discovery has been limited by the development of fully automated software that can efficiently align and extract information from multiple chromatographic data sets. In this work we report the first investigation on a peak-by-peak basis of the chromatographic factors that impact GC. ×. GC data alignment. A representative set of 16 compounds of different chromatographic characteristics were followed through the alignment of 63 GC. ×. GC chromatograms. We found that varying the mass spectral match parameter had a significant influence on the alignment for poorly-resolved peaks, especially those at the extremes of the detector linear range, and no influence on well-chromatographed peaks. Therefore, optimized chromatography is required for proper GC. ×. GC data alignment. Based on these observations, a workflow is presented for the conservative selection of biomarker candidates from untargeted metabolomics analyses.",
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AU - Dimandja, Jean Marie D

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N2 - The potential of high-resolution analytical technologies like GC. ×. GC/TOF MS in untargeted metabolomics and biomarker discovery has been limited by the development of fully automated software that can efficiently align and extract information from multiple chromatographic data sets. In this work we report the first investigation on a peak-by-peak basis of the chromatographic factors that impact GC. ×. GC data alignment. A representative set of 16 compounds of different chromatographic characteristics were followed through the alignment of 63 GC. ×. GC chromatograms. We found that varying the mass spectral match parameter had a significant influence on the alignment for poorly-resolved peaks, especially those at the extremes of the detector linear range, and no influence on well-chromatographed peaks. Therefore, optimized chromatography is required for proper GC. ×. GC data alignment. Based on these observations, a workflow is presented for the conservative selection of biomarker candidates from untargeted metabolomics analyses.

AB - The potential of high-resolution analytical technologies like GC. ×. GC/TOF MS in untargeted metabolomics and biomarker discovery has been limited by the development of fully automated software that can efficiently align and extract information from multiple chromatographic data sets. In this work we report the first investigation on a peak-by-peak basis of the chromatographic factors that impact GC. ×. GC data alignment. A representative set of 16 compounds of different chromatographic characteristics were followed through the alignment of 63 GC. ×. GC chromatograms. We found that varying the mass spectral match parameter had a significant influence on the alignment for poorly-resolved peaks, especially those at the extremes of the detector linear range, and no influence on well-chromatographed peaks. Therefore, optimized chromatography is required for proper GC. ×. GC data alignment. Based on these observations, a workflow is presented for the conservative selection of biomarker candidates from untargeted metabolomics analyses.

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