Summary of Study ST001421
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000975. The data can be accessed directly via it's Project DOI: 10.21228/M8NX1G This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
Study ID | ST001421 |
Study Title | Metabolomic study of Escherichia coli K-12 MG1655 WT and its transcriptional regulator mutants under anaerobic fermentation conditions |
Study Type | Metabolomics |
Study Summary | Metabolomic analysis of Wildtype, fnr, arcA and ihf mutants in glucose minimal media under anaerobic fermentation conditions during its exponential phase of growth. Three biological and two technical replicate samples (n=6) were harvested for each of the strains while growing in a bioreactor anaerobically at 37 degrees Celsius and 150 rpm. This study aims to characterize and compare the metabolic profiles of all these strains. |
Institute | IIT Bombay |
Department | Department of Chemical Engineering |
Laboratory | Systems Biology and Metabolic Engineering Laboratory (SBMEL) |
Last Name | Pal |
First Name | Ankita |
Address | Department of Chemical Engineering, IIT Bombay, Mumbai, Maharashtra, 400076, India |
pal.ankita90@gmail.com | |
Phone | 08879536816 |
Submit Date | 2020-07-07 |
Raw Data Available | Yes |
Raw Data File Type(s) | raw(Thermo) |
Analysis Type Detail | LC-MS |
Release Date | 2021-03-01 |
Release Version | 1 |
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Sample Preparation:
Sampleprep ID: | SP001503 |
Sampleprep Summary: | Samples were extracted from the Wildtype, fnr, arcA and ihf mutants grown in a bioreactor anaerobically in glucose minimal media at 37 degrees Celsius and 150 rpm. The metabolites were extracted using the Methanol-Chloroform-Water method. The samples were spiked with an equal volume of 13C-labelled internal standard taken from the same batch at an earlier stage to prevent to account for losses due to metabolite degradation and to enable robust quantification circumventing the ion-suppression effects. |
Sampleprep Protocol Filename: | ankita_pal_MS-method_msi.pdf |