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Comment
. 2021 Aug 6;12(1):4772.
doi: 10.1038/s41467-021-24985-x.

Reply to "Quality control requirements for the correct annotation of lipidomics data"

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Comment

Reply to "Quality control requirements for the correct annotation of lipidomics data"

Catherine G Vasilopoulou et al. Nat Commun. .
No abstract available

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Conflict of interest statement

The following authors state that they have potential conflicts of interest regarding this work: U.S.H., S.M., and A.B. are employees of Bruker, the manufacturer of the timsTOF Pro. N.S.M. is a former employee of PREMIER Biosoft, the vendor of the SimLipid software, and founder of Luhup Private Limited, a lipidomics data analysis service provider. The remaining authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Retention time analysis of triacylglycerols (TGs) with 0 double bonds.
a Retention time versus the number of fatty acyl carbons. Dot size indicates the relative ion intensity and dot color visualizes the collisional cross section (CCS). b Experimental MS/MS spectra of the three features highlighted in panel a supporting the annotation of TG14:0_14:0_16:0.
Fig. 2
Fig. 2. Lipid detection in nanoflow LC-TIMS-MS experiments.
Separation of features in a human plasma extract annotated as phosphatidylcholine (PC) and sphingomyelin (SM) lipids in m/z, retention time, and ion mobility dimensions. One outlier is not shown because its CCS value is out of bounds.

Comment on

References

    1. Vasilopoulou CG, et al. Trapped ion mobility spectrometry and PASEF enable in-depth lipidomics from minimal sample amounts. Nat. Commun. 2020;11:331. doi: 10.1038/s41467-019-14044-x. - DOI - PMC - PubMed
    1. Bowden JA, Ulmer CZ, Jones CM, Koelmel JP, Yost RA. NIST lipidomics workflow questionnaire: an assessment of community-wide methodologies and perspectives. Metabolomics. 2018;14:53. doi: 10.1007/s11306-018-1340-1. - DOI - PMC - PubMed
    1. Liebisch G, et al. Lipidomics needs more standardization. Nat. Metab. 2019;1:745–747. doi: 10.1038/s42255-019-0094-z. - DOI - PubMed
    1. Ross DH, Cho JH, Zhang R, Hines KM, Xu L. LiPydomics: a Python package for comprehensive prediction of lipid collision cross sections and retention times and analysis of ion mobility-mass spectrometry-based lipidomics data. Anal. Chem. 2020;92:14967–14975. doi: 10.1021/acs.analchem.0c02560. - DOI - PMC - PubMed
    1. Ovčačíková M, Lísa M, Cífková E, Holčapek M. Retention behavior of lipids in reversed-phase ultrahigh-performance liquid chromatography–electrospray ionization mass spectrometry. J. Chromatogr. A. 2016;1450:76–85. doi: 10.1016/j.chroma.2016.04.082. - DOI - PubMed