Publication

Sub-nanoliter metabolomics via mass spectrometry to characterize volume-limited samples

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Last modified
  • 05/15/2025
Type of Material
Authors
    Yafeng Li, Georgia Institute of TechnologyMarcos Bouza, Georgia Institute of TechnologyChangsheng Wu, Georgia Institute of TechnologyHengyu Guo, Georgia Institute of TechnologyDanning Huang, Georgia Institute of TechnologyGilad Doron, Georgia Institute of TechnologyJohnna Temenoff, Emory UniversityArlene Stecenko, Emory UniversityZhong Lin Wang, Georgia Institute of TechnologyFacundo M. Fernandez, Georgia Institute of Technology
Language
  • English
Date
  • 2020-11-06
Publisher
  • NATURE RESEARCH
Publication Version
Copyright Statement
  • © The Author(s) 2020
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 11
Issue
  • 1
Start Page
  • 5625
End Page
  • 5625
Grant/Funding Information
  • F.M.F. acknowledges support from 1R01CA218664-01 and NIH 1U2CES030167-01. F.M.F. and J.S.T. acknowledge support from the CMaT NSF Research Center (EEC-1648035). A.A.S. acknowledges support from FDA R01FD003527-01.
Supplemental Material (URL)
Abstract
  • The human metabolome provides a window into the mechanisms and biomarkers of various diseases. However, because of limited availability, many sample types are still difficult to study by metabolomic analyses. Here, we present a mass spectrometry (MS)-based metabolomics strategy that only consumes sub-nanoliter sample volumes. The approach consists of combining a customized metabolomics workflow with a pulsed MS ion generation method, known as triboelectric nanogenerator inductive nanoelectrospray ionization (TENGi nanoESI) MS. Samples tested with this approach include exhaled breath condensate collected from cystic fibrosis patients as well as in vitro-cultured human mesenchymal stromal cells. Both test samples are only available in minimum amounts. Experiments show that picoliter-volume spray pulses suffice to generate high-quality spectral fingerprints, which increase the information density produced per unit sample volume. This TENGi nanoESI strategy has the potential to fill in the gap in metabolomics where liquid chromatography-MS-based analyses cannot be applied. Our method opens up avenues for future investigations into understanding metabolic changes caused by diseases or external stimuli.
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Research Categories
  • Biology, Cell

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