Ontology highlight
ABSTRACT:
SUBMITTER: Ghorasaini M
PROVIDER: S-EPMC8674878 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature
Ghorasaini Mohan M Mohammed Yassene Y Adamski Jerzy J Bettcher Lisa L Bowden John A JA Cabruja Matias M Contrepois Kévin K Ellenberger Mathew M Gajera Bharat B Haid Mark M Hornburg Daniel D Hunter Christie C Jones Christina M CM Klein Theo T Mayboroda Oleg O Mirzaian Mina M Moaddel Ruin R Ferrucci Luigi L Lovett Jacqueline J Nazir Kenneth K Pearson Mackenzie M Ubhi Baljit K BK Raftery Daniel D Riols Fabien F Sayers Rebekah R Sijbrands Eric J G EJG Snyder Michael P MP Su Baolong B Velagapudi Vidya V Williams Kevin J KJ de Rijke Yolanda B YB Giera Martin M
Analytical chemistry 20211203 49
Modern biomarker and translational research as well as personalized health care studies rely heavily on powerful omics' technologies, including metabolomics and lipidomics. However, to translate metabolomics and lipidomics discoveries into a high-throughput clinical setting, standardization is of utmost importance. Here, we compared and benchmarked a quantitative lipidomics platform. The employed Lipidyzer platform is based on lipid class separation by means of differential mobility spectrometry ...[more]