446 related articles for article (PubMed ID: 28660581)
1. 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]
2. Off-line mixed-mode liquid chromatography coupled with reversed phase high performance liquid chromatography-high resolution mass spectrometry to improve coverage in lipidomics analysis.
Narváez-Rivas M; Vu N; Chen GY; Zhang Q
Anal Chim Acta; 2017 Feb; 954():140-150. PubMed ID: 28081809
[TBL] [Abstract][Full Text] [Related]
3. Liquid Chromatography-Mass Spectrometry (LC-MS)-Based Analysis of Molecular Lipids in Algae Samples.
Nygren H; Seppänen-Laakso T; Rischer H
Methods Mol Biol; 2020; 1980():215-222. PubMed ID: 29159726
[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. On-line two-dimensional capillary strong anion exchange/reversed phase liquid chromatography-tandem mass spectrometry for comprehensive lipid analysis.
Bang DY; Moon MH
J Chromatogr A; 2013 Oct; 1310():82-90. PubMed ID: 24001943
[TBL] [Abstract][Full Text] [Related]
6. Exploration of polar lipid accumulation profiles in Euglena gracilis using LipidBlast, an MS/MS spectral library constructed in silico.
Ogawa T; Furuhashi T; Okazawa A; Nakai R; Nakazawa M; Kind T; Fiehn O; Kanaya S; Arita M; Ohta D
Biosci Biotechnol Biochem; 2014; 78(1):14-8. PubMed ID: 25036478
[TBL] [Abstract][Full Text] [Related]
7. Global Lipidomics Profiling by a High Resolution LC-MS Platform.
Züllig T; Trötzmüller M; Köfeler HC
Methods Mol Biol; 2021; 2306():39-51. PubMed ID: 33954938
[TBL] [Abstract][Full Text] [Related]
8. Lipid-Pro: a computational lipid identification solution for untargeted lipidomics on data-independent acquisition tandem mass spectrometry platforms.
Ahmed Z; Mayr M; Zeeshan S; Dandekar T; Mueller MJ; Fekete A
Bioinformatics; 2015 Apr; 31(7):1150-3. PubMed ID: 25433698
[TBL] [Abstract][Full Text] [Related]
9. Metabolomic spectral libraries for data-independent SWATH liquid chromatography mass spectrometry acquisition.
Bruderer T; Varesio E; Hidasi AO; Duchoslav E; Burton L; Bonner R; Hopfgartner G
Anal Bioanal Chem; 2018 Mar; 410(7):1873-1884. PubMed ID: 29411086
[TBL] [Abstract][Full Text] [Related]
10. Retention behavior of lipids in reversed-phase ultrahigh-performance liquid chromatography-electrospray ionization mass spectrometry.
Ovčačíková M; Lísa M; Cífková E; Holčapek M
J Chromatogr A; 2016 Jun; 1450():76-85. PubMed ID: 27179677
[TBL] [Abstract][Full Text] [Related]
11. Shotgun Lipidomics Approach for Clinical Samples.
Eggers LF; Schwudke D
Methods Mol Biol; 2018; 1730():163-174. PubMed ID: 29363073
[TBL] [Abstract][Full Text] [Related]
12. Lipid Identification by Untargeted Tandem Mass Spectrometry Coupled with Ultra-High-Pressure Liquid Chromatography.
Gugiu GB
Methods Mol Biol; 2017; 1609():65-82. PubMed ID: 28660575
[TBL] [Abstract][Full Text] [Related]
13. LIQUID: an-open source software for identifying lipids in LC-MS/MS-based lipidomics data.
Kyle JE; Crowell KL; Casey CP; Fujimoto GM; Kim S; Dautel SE; Smith RD; Payne SH; Metz TO
Bioinformatics; 2017 Jun; 33(11):1744-1746. PubMed ID: 28158427
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatics Pertinent to Lipid Analysis in Biological Samples.
Ma J; Arbelo U; Guerra Y; Aribindi K; Bhattacharya SK; Pelaez D
Methods Mol Biol; 2017; 1609():141-147. PubMed ID: 28660580
[TBL] [Abstract][Full Text] [Related]
15. Comprehensive methodology for Staphylococcus aureus lipidomics by liquid chromatography and quadrupole time-of-flight mass spectrometry.
Hewelt-Belka W; Nakonieczna J; Belka M; Bączek T; Namieśnik J; Kot-Wasik A
J Chromatogr A; 2014 Oct; 1362():62-74. PubMed ID: 25160958
[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. LipidMatch: an automated workflow for rule-based lipid identification using untargeted high-resolution tandem mass spectrometry data.
Koelmel JP; Kroeger NM; Ulmer CZ; Bowden JA; Patterson RE; Cochran JA; Beecher CWW; Garrett TJ; Yost RA
BMC Bioinformatics; 2017 Jul; 18(1):331. PubMed ID: 28693421
[TBL] [Abstract][Full Text] [Related]
18. Development of a lipid profiling system using reverse-phase liquid chromatography coupled to high-resolution mass spectrometry with rapid polarity switching and an automated lipid identification software.
Yamada T; Uchikata T; Sakamoto S; Yokoi Y; Fukusaki E; Bamba T
J Chromatogr A; 2013 May; 1292():211-8. PubMed ID: 23411146
[TBL] [Abstract][Full Text] [Related]
19. Optimization of lipid extraction and analytical protocols for UHPLC-ESI-HRMS-based lipidomic analysis of adherent mammalian cancer cells.
Zhang H; Gao Y; Sun J; Fan S; Yao X; Ran X; Zheng C; Huang M; Bi H
Anal Bioanal Chem; 2017 Sep; 409(22):5349-5358. PubMed ID: 28717896
[TBL] [Abstract][Full Text] [Related]
20. Extension of least squares spectral resolution algorithm to high-resolution lipidomics data.
Zeng YX; Mjøs SA; David FP; Schmid AW
Anal Chim Acta; 2016 Mar; 914():35-46. PubMed ID: 26965325
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
