Utilizing Skyline to analyze lipidomics data containing liquid chromatography, ion mobility spectrometry and mass spectrometry dimensions

Kaylie I. Kirkwood, Brian S. Pratt, Nicholas Shulman, Kaipo Tamura, Michael J. MacCoss, Brendan X. MacLean, Erin S. Baker

Published: 2022-07-12 DOI: 10.1038/s41596-022-00714-6

Lipidomics

Skyline

LC-IMS-CID-MS

Data annotation

Open-source software

AI 解读

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References

Lipidomics studies suffer from analytical and annotation challenges because of the great structural similarity of many of the lipid species. To improve lipid characterization and annotation capabilities beyond those afforded by traditional mass spectromet
Introduction
- Comparison with other methods
- Limitations
Materials
- Equipment
Procedure
Troubleshooting
Timing
Anticipated results
- References
- References
References
ACKNOWLEDGMENTS

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Kirkwood, K. I. et al. Utilizing Skyline to analyze lipidomics data containing liquid chromatography, ion mobility spectrometry and mass spectrometry dimensions. Zenodo http://zenodo.org/record/6374209#.YpzYhBPMJJU (2022).

Utilizing Skyline to analyze lipidomics data containing liquid chromatography, ion mobility spectrometry and mass spectrometry dimensions

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Supplementary Information

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Supplementary Table 2

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