Alpha-, beta- and gamma-aminobutyric acids (AABA, BABA and GABA) are a group of structurally similar nonproteinogenic amino acids.
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Metabolite of the month – Histamine
Histamine stimulates smooth muscle contraction, vasodilation, and gastric acid secretion, and plays a role in cell differentiation, proliferation and regeneration
Metabolite of the month – Glycine
Glycine plays a role in metabolic regulation, neurological function, anti-oxidative reactions and protein synthesis. It offers multiple health benefits that may help to treat diabetes, cardiovascular disease, cancer, inflammation and obesity.
3 assets needed to excel at metabolomics data interpretation
Data interpretation is often overlooked in omics training. But without knowing how to make sense of our results in the broader biological context, we’ll struggle to pull out actionable insights from our data.The biological interpretation of metabolomics is a long but...
Metabolite of the month – Ornithine
Our metabolite of the month is Ornithine, a non-essential, non-proteinogenic amino acid that plays an essential role in the urea cycle.
Phosphatidylethanolamines – Key lipids in cellular function and membrane integrity
Phosphatidylethanolamine (PE) is a sub-class of phospholipids with a variety of functions in animals, plants and microorganisms. Like other phospholipids, PEs are more than simply the building blocks of membranes
Metabolite – 3-Hydroxy Glutaric Acid (A biomarker for a rare disease)
3-hydroxyglutaric acid is a little known metabolite with great application for the diagnosis of a rare disease.
ICYMI – Recap from “Pan-cohort studies – the future of population health” symposium
With more than 20 hours of cutting-edge science in the rearview mirror, it’s time to reflect on our recent “Pan-cohort studies – The future of population health” event.
Metabolite of the month – Lactic acid
Lactic acid is produced by various cells in the body, including muscle cells, red blood cells and neurons
Which sample matrix should I use for my metabolomics study?
While there’s no single correct approach to figuring out your sample matrix, there certainly are things that could be done wrong. Here, we dive into some of the advantages and advantages of the sample matrices you might consider for you metabolomics study.