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...
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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.
Metabolite of the month – NAD+ (nicotinamide adenine dinucleotide)
NAD is best known as a master regulator of redox reactions, but it is also a substrate used by many enzymes to fine tune cell biology.
MxP® Quant 500 kit for SCIEX 7500 LC-MS/MS systems
MxP® Quant 500 targeted metabolomics kit is now validated for use with SCIEX 7500 LC-MS/MS systems
Importance of pre-analytics for metabolomics studies
Pre-analytics influences metabolite concentrations. Adherence to standardized sample collection and storage protocols is crucial for reliable metabolomics data