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MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis

Open access
Tsugawa, Hiroshi, Cajka, Tomas, Kind, Tobias, Ma, Yan, Higgins, Brendan, Ikeda, Kazutaka, Kanazawa, Mitsuhiro, VanderGheynst, Jean, Fiehn, Oliver, Arita, Masanori·2015·Nature Methods

Abstract

Data-independent acquisition (DIA) in liquid chromatography (LC) coupled to tandem mass spectrometry (MS/MS) provides comprehensive untargeted acquisition of molecular data. We provide an open-source software pipeline, which we call MS-DIAL, for DIA-based identification and quantification of small molecules by mass spectral deconvolution. For a reversed-phase LC-MS/MS analysis of nine algal strains, MS-DIAL using an enriched LipidBlast library identified 1,023 lipid compounds, highlighting the chemotaxonomic relationships between the algal strains.

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Crossref · 10.1038/nmeth.3393

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Research works printed but not linked: 3

  1. Fiehn, O., Wohlgemuth, G. & Scholz, M. Proc. Lect. Notes Bioinform 3615, 224–239 (2005).
  2. Giroud, C., Gerber, A. & Eichenberger, W. Plant Cell Physiol. 29, 587–595 (1988).
  3. Brand, J.J., Andersen, R.A. & Nobles, D.R. Jr. in Applied Phycology and Biotechnology Second Edition, John Wiley & Sons, Ltd, Oxford, UK 10.1002/9781118567166.ch5 (2013). · DOI

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Metadata

Authors
Tsugawa, H., Cajka, T., Kind, T., Ma, Y., Higgins, B., Ikeda, K., Kanazawa, M., VanderGheynst, J., Fiehn, O., & Arita, M.
Venue
Nature Methods
Published
2015-05-04
Volume
12
Issue
6
Pages
523-526
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W1543068333
Cited by
3,397
References
31
FWCI
30.23
Type
journal article
Language
en
Open access
green
Licence
www.springer.com/tdm (tdm)

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CoChat. (2026). Citation check: MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis. https://app.cochat.ai/papers/10.1038/nmeth.3393
The paper
Tsugawa, H., Cajka, T., Kind, T., Ma, Y., Higgins, B., Ikeda, K., Kanazawa, M., VanderGheynst, J., Fiehn, O., & Arita, M. (2015). MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis. Nature Methods. https://doi.org/10.1038/nmeth.3393

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