| Title |
Metabolic profiling of isolated mitochondria and cytoplasm reveals compartment-specific metabolic responses
|
|---|---|
| Published in |
Metabolomics, March 2018
|
| DOI | 10.1007/s11306-018-1352-x |
| Pubmed ID | |
| Authors |
Daqiang Pan, Caroline Lindau, Simon Lagies, Nils Wiedemann, Bernd Kammerer |
| Abstract |
Subcellular compartmentalization enables eukaryotic cells to carry out different reactions at the same time, resulting in different metabolite pools in the subcellular compartments. Thus, mutations affecting the mitochondrial energy metabolism could cause different metabolic alterations in mitochondria compared to the cytoplasm. Given that the metabolite pool in the cytosol is larger than that of other subcellular compartments, metabolic profiling of total cells could miss these compartment-specific metabolic alterations. To reveal compartment-specific metabolic differences, mitochondria and the cytoplasmic fraction of baker's yeast Saccharomyces cerevisiae were isolated and subjected to metabolic profiling. Mitochondria were isolated through differential centrifugation and were analyzed together with the remaining cytoplasm by gas chromatography-mass spectrometry (GC-MS) based metabolic profiling. Seventy-two metabolites were identified, of which eight were found exclusively in mitochondria and sixteen exclusively in the cytoplasm. Based on the metabolic signature of mitochondria and of the cytoplasm, mutants of the succinate dehydrogenase (respiratory chain complex II) and of the FOF1-ATP-synthase (complex V) can be discriminated in both compartments by principal component analysis from wild-type and each other. These mitochondrial oxidative phosphorylation machinery mutants altered not only citric acid cycle related metabolites but also amino acids, fatty acids, purine and pyrimidine intermediates and others. By applying metabolomics to isolated mitochondria and the corresponding cytoplasm, compartment-specific metabolic signatures can be identified. This subcellular metabolomics analysis is a powerful tool to study the molecular mechanism of compartment-specific metabolic homeostasis in response to mutations affecting the mitochondrial metabolism. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 16% |
| Canada | 2 | 11% |
| Czechia | 1 | 5% |
| India | 1 | 5% |
| United Kingdom | 1 | 5% |
| South Africa | 1 | 5% |
| Unknown | 10 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 47% |
| Scientists | 8 | 42% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 108 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 19% |
| Researcher | 17 | 16% |
| Student > Bachelor | 16 | 15% |
| Student > Master | 14 | 13% |
| Student > Postgraduate | 6 | 6% |
| Other | 10 | 9% |
| Unknown | 25 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 23% |
| Biochemistry, Genetics and Molecular Biology | 24 | 22% |
| Chemistry | 7 | 6% |
| Neuroscience | 3 | 3% |
| Medicine and Dentistry | 3 | 3% |
| Other | 16 | 15% |
| Unknown | 30 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 06 September 2018.
All research outputs
#3,190,206
of 23,314,015 outputs
Outputs from Metabolomics
#160
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Outputs of similar age
#67,040
of 330,738 outputs
Outputs of similar age from Metabolomics
#9
of 37 outputs
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So far Altmetric has tracked 1,309 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 87% of its peers.
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We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.