Summary of project PR002148

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR002148. The data can be accessed directly via it's Project DOI: 10.21228/M8ZR7T This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

Project ID: PR002148
Project DOI:doi: 10.21228/M8ZR7T
Project Title:Quantifying acyl-chain diversity in isobaric compound lipids containing monomethyl branched-chain fatty acids
Project Summary:To assess whether branched-chain fatty acids (BCFAs) could be effectively separated and quantified using a C30 liquid chromatography column, we treated 3T3-L1 cells with a variety of lipid substrates, including odd-chain, even-chain, and branched-chain fatty acids. This initial set of experiments aimed to determine whether retention times for compound lipids shifted with the incorporation of different substrates. Despite identical lipid masses, a shift in retention time would indicate that compound lipids with monomethyl branched fatty acids could be separated. Furthermore, we engineered 3T3-L1 cells lacking branched-keto acid dehydrogenase A (Bckdha) and validated our findings using a deuterated BCFA (iso-FA 16:0[D7]). We observed incorporation of this deuterated BCFA into compound lipids, accompanied by a corresponding shift in retention time. Lipid species were analyzed via UHPLC-MS, confirming that the C30 column successfully separated monomethyl BCFA-containing lipids from their straight-chain counterparts.
Institute:Salk Institute
Last Name:Kolar
First Name:Matthew
Address:10010 N Torrey Pines Rd, La Jolla, CA, 92037, USA
Email:mkolar@salk.edu
Phone:8584534100

Summary of all studies in project PR002148

Study IDStudy TitleSpeciesInstituteAnalysis
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ST003502 Quantifying acyl-chain diversity in isobaric compound lipids containing monomethyl branched-chain fatty acids Mus musculus Salk Institute for Biological Studies MS 2024-10-18 1 12 Uploaded data (636.2M)*
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