158 related articles for article (PubMed ID: 36971892)
1. Systematic untargeted UHPLC-Q-TOF-MS based lipidomics workflow for improved detection and annotation of lipid sub-classes in serum.
Dhariwal S; Maan K; Baghel R; Sharma A; Malakar D; Rana P
Metabolomics; 2023 Mar; 19(4):24. PubMed ID: 36971892
[TBL] [Abstract][Full Text] [Related]
2. Development and application of a fast ultra-high performance liquid chromatography-trapped ion mobility mass spectrometry method for untargeted lipidomics.
Merciai F; Musella S; Sommella E; Bertamino A; D'Ursi AM; Campiglia P
J Chromatogr A; 2022 Jun; 1673():463124. PubMed ID: 35567813
[TBL] [Abstract][Full Text] [Related]
3. Dual UHPLC-HRMS Metabolomics and Lipidomics and Automated Data Processing Workflow for Comprehensive High-Throughput Gut Phenotyping.
Vangeenderhuysen P; Van Arnhem J; Pomian B; De Graeve M; De Commer L; Falony G; Raes J; Zhernakova A; Fu J; Hemeryck LY; Vanhaecke L
Anal Chem; 2023 Jun; 95(22):8461-8468. PubMed ID: 37220321
[TBL] [Abstract][Full Text] [Related]
4. A Robust Lipidomics Workflow for Mammalian Cells, Plasma, and Tissue Using Liquid-Chromatography High-Resolution Tandem Mass Spectrometry.
Ulmer CZ; Patterson RE; Koelmel JP; Garrett TJ; Yost RA
Methods Mol Biol; 2017; 1609():91-106. PubMed ID: 28660577
[TBL] [Abstract][Full Text] [Related]
5. compMS2Miner: An Automatable Metabolite Identification, Visualization, and Data-Sharing R Package for High-Resolution LC-MS Data Sets.
Edmands WM; Petrick L; Barupal DK; Scalbert A; Wilson MJ; Wickliffe JK; Rappaport SM
Anal Chem; 2017 Apr; 89(7):3919-3928. PubMed ID: 28225587
[TBL] [Abstract][Full Text] [Related]
6. Assessment of human plasma and urine sample preparation for reproducible and high-throughput UHPLC-MS clinical metabolic phenotyping.
Southam AD; Haglington LD; Najdekr L; Jankevics A; Weber RJM; Dunn WB
Analyst; 2020 Oct; 145(20):6511-6523. PubMed ID: 32760982
[TBL] [Abstract][Full Text] [Related]
7. Lipidomic profiling of non-mineralized dental plaque and biofilm by untargeted UHPLC-QTOF-MS/MS and SWATH acquisition.
Drotleff B; Roth SR; Henkel K; Calderón C; Schlotterbeck J; Neukamm MA; Lämmerhofer M
Anal Bioanal Chem; 2020 Apr; 412(10):2303-2314. PubMed ID: 31942654
[TBL] [Abstract][Full Text] [Related]
8. Comprehensive lipidomics of mouse plasma using class-specific surrogate calibrants and SWATH acquisition for large-scale lipid quantification in untargeted analysis.
Drotleff B; Illison J; Schlotterbeck J; Lukowski R; Lämmerhofer M
Anal Chim Acta; 2019 Dec; 1086():90-102. PubMed ID: 31561798
[TBL] [Abstract][Full Text] [Related]
9. An integrated strategy to improve data acquisition and metabolite identification by time-staggered ion lists in UHPLC/Q-TOF MS-based metabolomics.
Wang Y; Feng R; He C; Su H; Ma H; Wan JB
J Pharm Biomed Anal; 2018 Aug; 157():171-179. PubMed ID: 29802989
[TBL] [Abstract][Full Text] [Related]
10. Rational selection of reverse phase columns for high throughput LC-MS lipidomics.
Criscuolo A; Zeller M; Cook K; Angelidou G; Fedorova M
Chem Phys Lipids; 2019 Jul; 221():120-127. PubMed ID: 30940444
[TBL] [Abstract][Full Text] [Related]
11. Discovery of lipid profiles of type 2 diabetes associated with hyperlipidemia using untargeted UPLC Q-TOF/MS-based lipidomics approach.
Yan L; Han P; Man J; Tian Y; Wang F; Wang J
Clin Chim Acta; 2021 Sep; 520():53-62. PubMed ID: 34077755
[TBL] [Abstract][Full Text] [Related]
12. LC-MS-Based Lipidomics and Automated Identification of Lipids Using the LipidBlast In-Silico MS/MS Library.
Cajka T; Fiehn O
Methods Mol Biol; 2017; 1609():149-170. PubMed ID: 28660581
[TBL] [Abstract][Full Text] [Related]
13. Comparison of one-phase and two-phase extraction methods for porcine tissue lipidomics applying a fast and reliable tentative annotation workflow.
Bögl T; Mlynek F; Himmelsbach M; Buchberger W
Talanta; 2022 Jan; 236():122849. PubMed ID: 34635239
[TBL] [Abstract][Full Text] [Related]
14. Untargeted UHPLC-ESI-QTOF-MS/MS analysis with targeted feature extraction at precursor and fragment level for profiling of the platelet lipidome with ex vivo thrombin-activation.
Cebo M; Calderón Castro C; Schlotterbeck J; Gawaz M; Chatterjee M; Lämmerhofer M
J Pharm Biomed Anal; 2021 Oct; 205():114301. PubMed ID: 34391135
[TBL] [Abstract][Full Text] [Related]
15. An improved strategy for analysis of lipid molecules utilising a reversed phase C
Jankevics A; Jenkins A; Dunn WB; Najdekr L
Talanta; 2021 Jul; 229():122262. PubMed ID: 33838772
[TBL] [Abstract][Full Text] [Related]
16. Bioinformatics in Lipidomics: Automating Large-Scale LC-MS-Based Untargeted Lipidomics Profiling with SimLipid Software.
Meitei NS; Shulaev V
Methods Mol Biol; 2022; 2396():197-214. PubMed ID: 34786685
[TBL] [Abstract][Full Text] [Related]
17. Optimization of a liquid chromatography-ion mobility-high resolution mass spectrometry platform for untargeted lipidomics and application to HepaRG cell extracts.
da Silva KM; Iturrospe E; Heyrman J; Koelmel JP; Cuykx M; Vanhaecke T; Covaci A; van Nuijs ALN
Talanta; 2021 Dec; 235():122808. PubMed ID: 34517665
[TBL] [Abstract][Full Text] [Related]
18. Prioritize biologically relevant ions for data-independent acquisition (BRI-DIA) in LC-MS/MS-based lipidomics analysis.
Duan L; Scheidemantle G; Lodge M; Cummings MJ; Pham E; Wang X; Kennedy A; Liu X
Metabolomics; 2022 Jul; 18(8):55. PubMed ID: 35842862
[TBL] [Abstract][Full Text] [Related]
19. Sub-5-min RP-UHPLC-TIMS for high-throughput untargeted lipidomics and its application to multiple matrices.
Merciai F; Basilicata MG; La Gioia D; Salviati E; Caponigro V; Ciaglia T; Musella S; Crescenzi C; Sommella E; Campiglia P
Anal Bioanal Chem; 2024 Feb; 416(4):959-970. PubMed ID: 38078946
[TBL] [Abstract][Full Text] [Related]
20. UHPLC-Q-Exactive Orbitrap MS/MS-based untargeted lipidomics reveals molecular mechanisms and metabolic pathways of lipid changes during golden pomfret (Trachinotus ovatus) fermentation.
Wang H; Wu Y; Xiang H; Sun-Waterhouse D; Zhao Y; Chen S; Li L; Wang Y
Food Chem; 2022 Dec; 396():133676. PubMed ID: 35868287
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
