| Range |
Table - link
|
| Organism |
Bacteria Bacillus methanolicus |
| Reference |
Kiefer P et al., DynaMet: a fully automated pipeline for dynamic LC-MS data. Anal Chem. 2015 Oct 6 87(19):9679-86. doi: 10.1021/acs.analchem.5b01660. p.9684 table 2PubMed ID26366644
|
| Method |
Abstract: "Dynamic isotope labeling data provides crucial information about the operation of metabolic pathways and are commonly generated via liquid chromatography-mass spectrometry (LC-MS). Metabolome-wide analysis is challenging as it requires grouping of metabolite features over different samples. [Investigators] developed DynaMet for fully automated investigations of isotope labeling experiments from LC-high-resolution MS raw data. DynaMet enables untargeted extraction of metabolite labeling profiles and provides integrated tools for expressive data visualization. To validate DynaMet [they] first used time course labeling data of the model strain Bacillus methanolicus from (13)C methanol resulting in complex spectra in multicarbon compounds. Analysis of two biological replicates revealed high robustness and reproducibility of the pipeline." |
| Comments |
P.9685 left column: "Comparison of DynaMet Results with Manually Generated Labeling Profiles of B. methanolicus Data Sets: To further evaluate the quality of the data generated by DynaMet, [investigators] compared the metabolites kinetic profiles with those from manual data inspection using targeted approach for
peak extraction. [They] selected a set of central metabolites involved in primary carbon metabolism as well as a set of nucleotides as part of universal metabolites present in all cells. Whereas for central metabolites, first order kinetics can be expected and label incorporation into nucleotides is anticipated to be significantly delayed, which should result in logistic fits. Table 2 shows a direct comparison of the fitting results. Almost all core metabolites reveal similar time constants for both types of analysis with the exception of glyceraldehyde-3-phosphate that was not detected with the automatic approach since peak areas were below the selected detection limit." See notes beneath table |
| Entered by |
Uri M |
| ID |
112584 |