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

An MSstats workflow for detecting differentially abundant proteins in large-scale data-independent acquisition mass spectrometry experiments with FragPipe processing

High-throughput cultivation and identification of bacteria from the plant root microbiota

A clinically relevant model of focal embolic cerebral ischemia by thrombus and thrombolysis in rhesus monkeys

CODEX multiplexed tissue imaging with DNA-conjugated antibodies

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

Global mapping of RNA G-quadruplexes (G4-RNAs) using G4RP-seq

Human primordial germ cell-like cells specified from resetting precursors develop in human hindgut organoids

Raman spectral cytopathology for cancer diagnostic applications

Yeast-based bioproduction of disulfide-rich peptides and their cyclization via asparaginyl endopeptidases

The use of methanol as a C1 building block

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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 https://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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