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:Plasma proteomics has regained attention in recent years through advancements in mass spectrometry instrumentation and sample preparation, as well as new high-throughput affinity-based technologies. Here, we evaluate the analytical performance of the new Olink Reveal platform, a proximity extension assay based technology quantifying 1,034 proteins across biological pathways. Using spiked-in recombinant Interleukin-10 (IL-10) and vascular endothelial growth factor D (VEGF-D) in the NIST SRM 1950 plasma standard, we assessed the linearity, sensitivity, precision and accuracy of the Olink assay. The results demonstrated strong linear relationships (R² 0.922–0.953) for both IL-10 and VEGF-D across spiked-in concentrations, confirming the robust technical performance of Olink Reveal and underscoring its suitability for relative quantitation in large-scale studies. The resulting data contains no sensitive or personally identifiable information, and is available in public repositories, and therefore suitable for use in benchmarking and software development.
Project description:As the lipidomics field continues to advance, self-evaluation within the community is critical. Here, we performed an interlaboratory comparison exercise for lipidomics using Standard Reference Material (SRM) 1950-Metabolites in Frozen Human Plasma, a commercially available reference material. The interlaboratory study comprised 31 diverse laboratories, with each laboratory using a different lipidomics workflow. A total of 1,527 unique lipids were measured across all laboratories and consensus location estimates and associated uncertainties were determined for 339 of these lipids measured at the sum composition level by five or more participating laboratories. These evaluated lipids detected in SRM 1950 serve as community-wide benchmarks for intra- and interlaboratory quality control and method validation. These analyses were performed using nonstandardized laboratory-independent workflows. The consensus locations were also compared with a previous examination of SRM 1950 by the LIPID MAPS consortium. While the central theme of the interlaboratory study was to provide values to help harmonize lipids, lipid mediators, and precursor measurements across the community, it was also initiated to stimulate a discussion regarding areas in need of improvement.
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:Liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS)-based methods have become the gold standard methodology for the comprehensive profiling of the human plasma lipidome. However, both the complexity of lipid chemistry and LC-HRMS-associated data pose challenges to the characterization of this biological matrix. In accordance with the current consensus of quality requirements for LC-HRMS lipidomics data, we aimed to characterize the NIST® Standard Reference Material for Human Plasma (SRM 1950) using an LC-ESI(+/-)-MS method compatible with high-throughput lipidome profiling. We generated a highly curated lipid database with increased coverage, quality, and consistency, including additional quality assurance procedures involving adduct formation, within-method m/z evaluation, retention behavior of species within lipid chain isomers, and expert-driven resolution of isomeric and isobaric interferences. As a proof-of-concept, we showed the utility of our in-house LC-MS lipidomic database -consisting of 592 lipid entries- for the fast, comprehensive, and reliable lipidomic profiling of the human plasma from healthy human volunteers. We are confident that the implementation of this robust resource and methodology will have a significant impact by reducing data redundancy and the current delays and bottlenecks in untargeted plasma lipidomic studies.
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:This dataset contains lipidomics data of NIST SRM 1950 plasma acquired by the three-fold approach: capillary LC/nanoelectrospray for enhanced ionization, QLT for higher sensitivity, and maximized parallelization of mass analyzers for efficient acquisition.
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.