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An improved high-throughput lipid extraction method for the analysis of human brain lipids.
- Source :
-
Lipids [Lipids] 2013 Mar; Vol. 48 (3), pp. 307-18. Date of Electronic Publication: 2013 Jan 26. - Publication Year :
- 2013
-
Abstract
- We have developed a protocol suitable for high-throughput lipidomic analysis of human brain samples. The traditional Folch extraction (using chloroform and glass-glass homogenization) was compared to a high-throughput method combining methyl-tert-butyl ether (MTBE) extraction with mechanical homogenization utilizing ceramic beads. This high-throughput method significantly reduced sample handling time and increased efficiency compared to glass-glass homogenizing. Furthermore, replacing chloroform with MTBE is safer (less carcinogenic/toxic), with lipids dissolving in the upper phase, allowing for easier pipetting and the potential for automation (i.e., robotics). Both methods were applied to the analysis of human occipital cortex. Lipid species (including ceramides, sphingomyelins, choline glycerophospholipids, ethanolamine glycerophospholipids and phosphatidylserines) were analyzed via electrospray ionization mass spectrometry and sterol species were analyzed using gas chromatography mass spectrometry. No differences in lipid species composition were evident when the lipid extraction protocols were compared, indicating that MTBE extraction with mechanical bead homogenization provides an improved method for the lipidomic profiling of human brain tissue.
- Subjects :
- Aged, 80 and over
Gas Chromatography-Mass Spectrometry economics
Gas Chromatography-Mass Spectrometry methods
High-Throughput Screening Assays economics
Humans
Lipids analysis
Male
Spectrometry, Mass, Electrospray Ionization economics
Spectrometry, Mass, Electrospray Ionization methods
Time Factors
Brain Chemistry
Chemical Fractionation methods
High-Throughput Screening Assays methods
Lipids isolation & purification
Methyl Ethers chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 1558-9307
- Volume :
- 48
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Lipids
- Publication Type :
- Academic Journal
- Accession number :
- 23355308
- Full Text :
- https://doi.org/10.1007/s11745-013-3760-z