| Title |
An Improved High‐Throughput Lipid Extraction Method for the Analysis of Human Brain Lipids
|
|---|---|
| Published in |
Lipids, January 2013
|
| DOI | 10.1007/s11745-013-3760-z |
| Pubmed ID | |
| Authors |
Sarah K. Abbott, Andrew M. Jenner, Todd W. Mitchell, Simon H. J. Brown, Glenda M. Halliday, Brett Garner |
| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Austria | 2 | 1% |
| Turkey | 1 | <1% |
| Uruguay | 1 | <1% |
| Brazil | 1 | <1% |
| Malaysia | 1 | <1% |
| Singapore | 1 | <1% |
| United Kingdom | 1 | <1% |
| China | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 128 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 28% |
| Researcher | 30 | 21% |
| Student > Master | 16 | 11% |
| Student > Doctoral Student | 9 | 6% |
| Student > Bachelor | 9 | 6% |
| Other | 17 | 12% |
| Unknown | 20 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 29% |
| Chemistry | 28 | 20% |
| Biochemistry, Genetics and Molecular Biology | 14 | 10% |
| Neuroscience | 10 | 7% |
| Medicine and Dentistry | 7 | 5% |
| Other | 16 | 11% |
| Unknown | 25 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 April 2013.
All research outputs
#15,270,698
of 22,708,120 outputs
Outputs from Lipids
#1,541
of 1,901 outputs
Outputs of similar age
#181,500
of 281,576 outputs
Outputs of similar age from Lipids
#4
of 5 outputs
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