Author
Listed:
- Yafeng Li
(Georgia Institute of Technology)
- Marcos Bouza
(Georgia Institute of Technology)
- Changsheng Wu
(Georgia Institute of Technology)
- Hengyu Guo
(Georgia Institute of Technology)
- Danning Huang
(Georgia Institute of Technology)
- Gilad Doron
(Georgia Institute of Technology and Emory University)
- Johnna S. Temenoff
(Georgia Institute of Technology and Emory University
Georgia Institute of Technology)
- Arlene A. Stecenko
(Emory University School of Medicine and Children’s Healthcare of Atlanta)
- Zhong Lin Wang
(Georgia Institute of Technology
Chinese Academy of Sciences)
- Facundo M. Fernández
(Georgia Institute of Technology
Georgia Institute of Technology)
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.
Suggested Citation
Yafeng Li & Marcos Bouza & Changsheng Wu & Hengyu Guo & Danning Huang & Gilad Doron & Johnna S. Temenoff & Arlene A. Stecenko & Zhong Lin Wang & Facundo M. Fernández, 2020.
"Sub-nanoliter metabolomics via mass spectrometry to characterize volume-limited samples,"
Nature Communications, Nature, vol. 11(1), pages 1-16, December.
Handle:
RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19444-y
DOI: 10.1038/s41467-020-19444-y
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