Summary of Study ST000102
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 PR000094. The data can be accessed directly via it's Project DOI: 10.21228/M8X309 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST000102 |
| Study Title | Cold adaptation shapes the robustness of metabolic networks in Drosophila melanogaster |
| Study Type | Time course during cold exposure for four genetic lines of flies |
| Study Summary | Metabolites of cold hardy versus cold susceptible flies were compared using N less than R-based metabolomics. We used 8 replicates per line (2 hardy lines, two susceptible lines), and sampled each line at three time points (before, during and after cold), giving rise to 96 samples total. |
| Institute | University of Florida |
| Department | Entomology and Nematology |
| Last Name | Williams |
| First Name | Caroline |
| cmw@berkeley.edu | |
| Submit Date | 2014-09-26 |
| Num Groups | 4 |
| Total Subjects | 96 |
| Raw Data Available | Yes |
| Uploaded File Size | 151 M |
| Analysis Type Detail | NMR |
| Release Date | 2015-02-03 |
| Release Version | 1 |
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Project:
| Project ID: | PR000094 |
| Project DOI: | doi: 10.21228/M8X309 |
| Project Title: | Cold adaptation shapes the robustness of metabolic networks in Drosophila melanogaster |
| Project Type: | Genetic study |
| Project Summary: | Flies that had been selected for fast and slow recovery from a cold-coma (2 replicates of each type) were sampled before, during (at the end of a 3h cold exposure at 0 degC), and after 5 min recovery from cold exposure. We tested the hypothesis that cold adaptation remodelled metabolic networks to make them more robust to the effects of cold. |
| Institute: | University of Florida |
| Department: | Entomology and Nematology |
| Laboratory: | Daniel A. Hahn |
| Last Name: | Hahn |
| First Name: | Daniel |
| Email: | dahahn@ufl.edu |
| Funding Source: | NSF IOS-1051890 |
