| Title |
Flexibility of a Eukaryotic Lipidome – Insights from Yeast Lipidomics
|
|---|---|
| Published in |
PLOS ONE, April 2012
|
| DOI | 10.1371/journal.pone.0035063 |
| Pubmed ID | |
| Authors |
Christian Klose, Michal A. Surma, Mathias J. Gerl, Felix Meyenhofer, Andrej Shevchenko, Kai Simons |
| Abstract |
Mass spectrometry-based shotgun lipidomics has enabled the quantitative and comprehensive assessment of cellular lipid compositions. The yeast Saccharomyces cerevisiae has proven to be a particularly valuable experimental system for studying lipid-related cellular processes. Here, by applying our shotgun lipidomics platform, we investigated the influence of a variety of commonly used growth conditions on the yeast lipidome, including glycerophospholipids, triglycerides, ergosterol as well as complex sphingolipids. This extensive dataset allowed for a quantitative description of the intrinsic flexibility of a eukaryotic lipidome, thereby providing new insights into the adjustments of lipid biosynthetic pathways. In addition, we established a baseline for future lipidomic experiments in yeast. Finally, flexibility of lipidomic features is proposed as a new parameter for the description of the physiological state of an organism. |
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 % |
|---|---|---|
| Germany | 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 329 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Switzerland | 1 | <1% |
| Austria | 1 | <1% |
| Brazil | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Finland | 1 | <1% |
| Spain | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 318 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 80 | 24% |
| Researcher | 57 | 17% |
| Student > Master | 40 | 12% |
| Student > Bachelor | 39 | 12% |
| Student > Doctoral Student | 17 | 5% |
| Other | 48 | 15% |
| Unknown | 48 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 116 | 35% |
| Biochemistry, Genetics and Molecular Biology | 100 | 30% |
| Chemistry | 16 | 5% |
| Engineering | 6 | 2% |
| Physics and Astronomy | 6 | 2% |
| Other | 29 | 9% |
| Unknown | 56 | 17% |