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Paglia G, Angel P, Williams JP, Richardson K, Olivos HJ, Thompson JW, Menikarachchi L, Lai S, Walsh C, Moseley A, Plumb RS, Grant D, Palsson BO, Langridge J, Geromanos S, Astarita G. Ion mobility-derived collision cross section as an additional measure for lipid fingerprinting and identification. Anal Chem 2015; 87:1137-44. [PMID: 25495617 PMCID: PMC4302848 DOI: 10.1021/ac503715v] [Citation(s) in RCA: 204] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2014] [Accepted: 12/13/2014] [Indexed: 02/07/2023]
Abstract
Despite recent advances in analytical and computational chemistry, lipid identification remains a significant challenge in lipidomics. Ion-mobility spectrometry provides an accurate measure of the molecules' rotationally averaged collision cross-section (CCS) in the gas phase and is thus related to ionic shape. Here, we investigate the use of CCS as a highly specific molecular descriptor for identifying lipids in biological samples. Using traveling wave ion mobility mass spectrometry (MS), we measured the CCS values of over 200 lipids within multiple chemical classes. CCS values derived from ion mobility were not affected by instrument settings or chromatographic conditions, and they were highly reproducible on instruments located in independent laboratories (interlaboratory RSD < 3% for 98% of molecules). CCS values were used as additional molecular descriptors to identify brain lipids using a variety of traditional lipidomic approaches. The addition of CCS improved the reproducibility of analysis in a liquid chromatography-MS workflow and maximized the separation of isobaric species and the signal-to-noise ratio in direct-MS analyses (e.g., "shotgun" lipidomics and MS imaging). These results indicate that adding CCS to databases and lipidomics workflows increases the specificity and selectivity of analysis, thus improving the confidence in lipid identification compared to traditional analytical approaches. The CCS/accurate-mass database described here is made publicly available.
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Affiliation(s)
- Giuseppe Paglia
- Istituto
Zooprofilattico Sperimentale della Puglia e Della Basilicata, Foggia, Italy
- Center
for Systems Biology, University of Iceland, Reykjavik, Iceland
| | - Peggi Angel
- Protea
Biosciences Group, Inc., Morgantown, West Virginia 26505, United States
| | | | | | | | - J. Will Thompson
- Duke
Proteomics Core Facility, Durham, North Carolina 27708, United States
| | - Lochana Menikarachchi
- Department
of Pharmaceutical Sciences, University of
Connecticut, Storrs, Connecticut 06268, United States
| | - Steven Lai
- Waters
Corporation, Milford, Massachusetts 01757, United States
| | - Callee Walsh
- Protea
Biosciences Group, Inc., Morgantown, West Virginia 26505, United States
| | - Arthur Moseley
- Duke
Proteomics Core Facility, Durham, North Carolina 27708, United States
| | - Robert S. Plumb
- Waters
Corporation, Milford, Massachusetts 01757, United States
- Computational
and Systems Medicine, Department of Surgery and Cancer, Faculty of
Medicine, Imperial College London, London, United Kingdom
| | - David
F. Grant
- Department
of Pharmaceutical Sciences, University of
Connecticut, Storrs, Connecticut 06268, United States
| | - Bernhard O. Palsson
- Computational
and Systems Medicine, Department of Surgery and Cancer, Faculty of
Medicine, Imperial College London, London, United Kingdom
| | - James Langridge
- Waters
Corporation, Milford, Massachusetts 01757, United States
| | - Scott Geromanos
- Waters
Corporation, Milford, Massachusetts 01757, United States
| | - Giuseppe Astarita
- Waters
Corporation, Milford, Massachusetts 01757, United States
- Department
of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20057, United States
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