Articles & Webinars
A cell contains thousands of lipids. Lipidomics reports the precise lipid composition of a sample to fuel research and progress in all biology related fields.
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ArticleLipid metabolism & microbiome of dry skin
Application of a moisturizing body lotion to dry skin improves barrier properties and alters ceramide profile and skin microbiome.
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ArticleLipid metabolism impacts remyelination
Remyelination requires orchestrated lipid droplets formation and cholesterol esterification by microglia.
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ArticleT cell function & lipid metabolism
Activation of LXR in T helper cells alters lipid metabolism, reduces membrane order, and modifies the immune response.
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ArticleWhat is multiomics?
Multiomics analyses of well-studied diseases can reveal molecular pathways, identify biomarkers, and improve predictive models.
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ArticleMultiomics analysis of cancer chemotherapy sensitivity
LDLR expression influences ovarian cancer cells’ lipid profiles and sensitivity to platinum-based chemotherapy.
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ArticleCardiolipin synthesis & protein import during mtUPR
The mtUPR in yeast exhibits an initial increase in protein import, which is accompanied by cardiolipin synthesis and remodeling.
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ArticleChain length impacts membrane fluidity
Yeast adapts to the absence of phosphatidylcholine by changing lipid composition to restore membrane fluidity.
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ArticleAnorexia, refeeding & lipid metabolism
The plasma lipidome in anorexia patients before and after refeeding therapy exhibits dysregulated lipid metabolism.
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ArticleInsulin sensitivity & circadian lipid metabolism
The plasma lipid profile depends on meal timing and composition and is associated with insulin sensitivity.
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ArticleCancer, hypoxia & mitochondria lipids
The enzyme PTPMT1, which synthesizes the mitochondrial lipid cardiolipin, helps cancer cells adapt to hypoxia.
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ArticleMultiomics profiling of Alzheimer’s disease
Multiomics analyses with lipidomics reveal molecular pathways in Alzheimer’s disease to improve predictive power.
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ArticleClinical indicators of metabolic obesity
Metabolic indicators in the plasma lipidome can classify obesity status more accurately than standard metrics.
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