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Profiling the Lipidome requires quality control

William Griffiths Orcid Logo

Swansea University Author: William Griffiths Orcid Logo

DOI (Published version): 10.5281/zenodo.4672232

Abstract

A recent publication from Vasilopoulou et al. reports on the full lipidome profiling by a combination of trapped ion mobility spectrometry (TIMS), parallel accumulation serial fragmentation (PASEF) and nano HPLC. While this is altogether an impressive technological advance, having the potential to i...

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Published: This manuscript is submitted by the international Lipidomics community under the category 'Matters Arising' in Nature Communications in response to Vasilopoulou et al., Nature Comm, 11: ArtNo 331 (2020).
URI: https://cronfa.swan.ac.uk/Record/cronfa56656
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Abstract: A recent publication from Vasilopoulou et al. reports on the full lipidome profiling by a combination of trapped ion mobility spectrometry (TIMS), parallel accumulation serial fragmentation (PASEF) and nano HPLC. While this is altogether an impressive technological advance, having the potential to increase lipidome coverage and lower detection limits for individual lipids, the interpretation of the acquired spectra is a matter of serious concern. Specifically, the authors exclusively relied on software-assisted lipid assignments that were not confirmed by an independent inspection of matched spectra to recognize abundant structurally unique lipid fragments or by correlation of retention times of identified species with available lipid standards – essential measures typically employed in lipidomics to reduce false-positive assignments. However, manual inspection of the dataset performed by us suggested that, in fact, the identification of at least 510 out of 1108 features reported as ‘unique lipids’ required additional experimental evidence. This, in turn, compromised the assignment of CCS values for 1856 features that will likely be used by others for identifying lipids.
College: Swansea University Medical School