Viewing posts tagged lipids

LipidGenie, a genome-guided lipid identification tool

Despite the crucial roles of lipids in metabolism, we are still in the early stages of annotating lipid species and their genetic basis. To help in this work, a team of researchers led by Vanessa Linke recently developed LipidGenie, an interactive, query-able resource for lipid identification. The research team used high-resolution liquid chromatography–tandem mass spectrometry to quantify 3,283 molecular features from the liver and plasma of outbred mice. These features were then mapped to 5,622 lipid quantitative trait loci, compiled and cross-referenced to the human genome.

Download the software and read the manuscript.

Multi-Omics of COVID-19 Collaboration with Albany Medical College

A collaboration with the lab of Dr. Ariel Jaitovich at Albany Medical College studied a Large-scale Multi-omic Analysis of COVID-19 Severity (in preprint). Over 17,000 transcripts, proteins, metabolites, and lipids were quantified and associated with clinical outcomes in a curated relational database, uniquely enabling systems analysis and cross-ome correlations to molecules and patient prognoses. A web-based tool ( enables interactive exploration and illustrates its utility through a comparative analysis with published data and a machine learning prediction of COVID-19 severity.