| Title |
The degradation of nucleotide triphosphates extracted under boiling ethanol conditions is prevented by the yeast cellular matrix
|
|---|---|
| Published in |
Metabolomics, November 2016
|
| DOI | 10.1007/s11306-016-1140-4 |
| Pubmed ID | |
| Authors |
Andres Gil, David Siegel, Silke Bonsing-Vedelaar, Hjalmar Permentier, Dirk-Jan Reijngoud, Frank Dekker, Rainer Bischoff |
| Abstract |
Boiling ethanol extraction is a frequently used method for metabolomics studies of biological samples. However, the stability of several central carbon metabolites, including nucleotide triphosphates, and the influence of the cellular matrix on their degradation have not been addressed. To study how a complex cellular matrix extracted from yeast (Saccharomyces cerevisiae) may affect the degradation profiles of nucleotide triphosphates extracted under boiling ethanol conditions. We present a double-labelling LC-MS approach with a (13)C-labeled yeast cellular extract as complex surrogate matrix, and (13)C(15)N-labeled nucleotides as internal standards, to study the effect of the yeast matrix on the degradation of nucleotide triphosphates. While nucleotide triphosphates were degraded to the corresponding diphosphates in pure solutions, degradation was prevented in the presence of the yeast matrix under typical boiling ethanol extraction conditions. Extraction of biological samples under boiling ethanol extraction conditions that rapidly inactivate enzyme activity are suitable for labile central energy metabolites such as nucleotide triphosphates due to the stabilizing effect of the yeast matrix. The basis of this phenomenon requires further study. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 3% |
| Unknown | 29 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 30% |
| Researcher | 7 | 23% |
| Professor | 4 | 13% |
| Student > Master | 2 | 7% |
| Other | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 27% |
| Agricultural and Biological Sciences | 6 | 20% |
| Chemistry | 5 | 17% |
| Medicine and Dentistry | 4 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 2 | 7% |
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 23 March 2017.
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#17,837,681
of 22,914,829 outputs
Outputs from Metabolomics
#1,013
of 1,297 outputs
Outputs of similar age
#287,814
of 416,674 outputs
Outputs of similar age from Metabolomics
#21
of 26 outputs
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