Project description:Lipids in the reference material NIST 1950 (50 uL) were extracted accodring to the Matyash protocol. The sample was analysed in 5 technical replicates by ESI(-)-HILIC-TIMS-MS with PASEF enabled with 100 ms and 500 ms.
Project description:Lipids in the reference material NIST SRM 1950 (50 uL) were extracted according to the Matyash protocol. The sample was analysed in 5 technical replicates by ESI(-)-HILIC-TIMS-MS with PASEF enabled with 100 ms.
Project description:<p>Here we present LipidCreator, a software that fully supports targeted lipidomics assay development. LipidCreator offers a comprehensive framework to compute MS/MS fragment masses for over 60 lipid classes. LipidCreator provides all functionalities needed to define fragments, manage stable isotope labeling, optimize collision energy and generate in silico spectral libraries. We validate LipidCreator assays computationally and analytically and prove that it is capable to generate large targeted experiments to analyze blood and to dissect lipid-signaling pathways such as in human platelets.</p><p><br></p><p>In MTBLS1375, to validate tissue-specific transitions which we generated with LipidCreator, we conducted quantitative lipidomics experiments monitoring 433 lipids in the plasma of 21 healthy Asian human subjects. For a subset of 50 individual lipid levels the concentrations were compared to a recently conducted ring trial monitoring the lipid content of a reference material obtained from a mixed American population (NIST SRM 1950). The rationale behind this was to see if the creation of a list including internal standard and endogenous lipids lead to similar quantitative results as the ring trial experiment.</p><p><br></p><p>Studies linked to this manuscript include;</p><p><a href='https://www.ebi.ac.uk/metabolights/editor/study/MTBLS1333' rel='noopener noreferrer' target='_blank'>MTBLS1333; LipidCreator: Collision Energy Optimization and Fragment Intensity Prediction for Lipid Mediators - Thermo QExactive HF</a></p><p><a href='https://www.ebi.ac.uk/metabolights/editor/study/MTBLS1334' rel='noopener noreferrer' target='_blank'>MTBLS1334; LipidCreator: Collision Energy Optimization and Fragment Intensity Prediction for Lipid Mediators - Agilent QTof</a></p><p><a href='https://www.ebi.ac.uk/metabolights/editor/study/MTBLS1369' rel='noopener noreferrer' target='_blank'>MTBLS1369; LipidCreator: Platelet isolation and stimulation - Targeted Phospho- and Glycerolipid Profiling</a></p><p><a href='https://www.ebi.ac.uk/metabolights/editor/study/MTBLS1375' rel='noopener noreferrer' target='_blank'>MTBLS1375; LipidCreator: Targeted lipidomics analysis of Human Plasma samples and comparison with NIST SRM 1950 standard</a></p><p><a href='https://www.ebi.ac.uk/metabolights/editor/study/MTBLS1376' rel='noopener noreferrer' target='_blank'>MTBLS1376; LipidCreator: Targeted lipidomics analysis of S. cerevisiae to determine true and false identification</a></p><p><a href='https://www.ebi.ac.uk/metabolights/editor/study/MTBLS1381' rel='noopener noreferrer' target='_blank'>MTBLS1381; LipidCreator: Platelet isolation and stimulation - Targeted Lipid Mediator Profiling</a></p><p><a href='https://www.ebi.ac.uk/metabolights/editor/study/MTBLS1382' rel='noopener noreferrer' target='_blank'>MTBLS1382; LipidCreator: Platelet isolation and stimulation - DIA Lipid Mediator Validation</a></p>
Project description:GNPS - NIST 1950 Serum SRM serial dilution processed with MZmine2 and OpenMS for Feature Based Molecular Networking. Files were obtained from the MSV000081364 (GNPS - NIST Standard Reference Material Human Serum - Column Comparability) https://massive.ucsd.edu/ProteoSAFe/dataset.jsp?task=010ce4f32b1d4c56aff9402d370d0c15 NIST SRM-1950 was processed using an 80% EtOH extraction protocol (found here 10.1021/ac402503m) and subsequently ran on a UHPLC using a Phenomenex Luna 1.6u C18 Polar Data coupled to Q Exactive Orbtirap (Thermo Fisher Scientific). Files were converted from mzXML to mzML with MSConvert.
Project description:NIST A, B, and C with 10x dilution and no dilution. Methods described in NIST interlaboratory results and following manuscripts.
Data Acquired by Sheng Liu.
Project description:Lipidomics analysis for large-scale studies aiming at the identification and quantification of natural lipidomes is often performed using LC-MS-based data acquisition. However, the choice of suitable LC-MS method for accurate lipid quantification remains a matter of debate. Here, we performed the systematic comparison between two HRAM-MS-based quantification workflows based on HILIC and RPLC MS by quantifying 191 lipids from five lipid classes in human blood plasma using deuterated standards in the "one ISTD-per-lipid class" approach. Lipid quantification was performed considering all necessary isotopic corrections, and obtained correction factors are illustrated. Concentrations of lipids in NIST® SRM® 1950 human blood plasma determined by the two methods were comparable for most of the studied lipid species except for highly unsaturated phosphatidylcholines (PC). A comparison of lipid concentrations to consensus values determined in a previously published multi-laboratory study illustrated possible "overestimation" of concentrations for these highly unsaturated lipids by HILIC MS. We evaluated the influence of lipid loading amounts as well as the difference between quantified lipid and internal standard concentrations on the HILIC MS quantification results. We conclude that both HILIC and RPLC HRAM-MS workflows can be equally used for accurate lysophosphatidylcholine (LPC), lysophosphatidylethanolamine (LPE), phosphatidylcholine (PC), phosphatidylethanolamine (PE), and sphingomyelin (SM) lipid quantification, despite significant differences in the concentration of highly unsaturated PC lipids which need to be addressed by establishing response factors to account for the differences in degree of lipid unsaturation. Graphical.