Systemic analysis of lipid metabolism from individuals to multi-organism systems.
Journal
Molecular omics
ISSN: 2515-4184
Titre abrégé: Mol Omics
Pays: England
ID NLM: 101713384
Informations de publication
Date de publication:
09 Sep 2024
09 Sep 2024
Historique:
medline:
9
9
2024
pubmed:
9
9
2024
entrez:
9
9
2024
Statut:
aheadofprint
Résumé
Lipid metabolism is recognised as being central to growth, disease and health. Lipids, therefore, have an important place in current research on globally significant topics such as food security and biodiversity loss. However, answering questions in these important fields of research requires not only identification and measurement of lipids in a wider variety of sample types than ever before, but also hypothesis-driven analysis of the resulting 'big data'. We present a novel pipeline that can collect data from a wide range of biological sample types, taking 1 000 000 lipid measurements per 384 well plate, and analyse the data systemically. We provide evidence of the power of the tool through proof-of-principle studies using edible fish (mackerel, bream, seabass) and colonies of
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM