Summary of Study ST002252
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 PR001440. The data can be accessed directly via it's Project DOI: 10.21228/M8KQ6P This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST002252 |
| Study Title | Lipidomics analysis on Arabidopsis autophagy mutants |
| Study Summary | Autophagy is an essential cellular process in eukaryotes that degrades and recycles macromolecules and organelles. Defects in autophagy is known to affect metabolism, including the lipidome. Genetic approaches have identified a series of AuTophaGy-related (ATG) genes in Arabidopsis. In this study we used WT (ecotype Col-0) and two Arabidopsis autophagy-defective mutants, atg7 and atg9 to perform a multi-omics study on the effect of nitrogen starvation treatment, which induces autophagy. Specifically, we have quantified ~100 lipids from leaf and root tissues of WT, atg7 and atg9 mutant plants, under either autophagy-inducing conditions (-N) or normal nitrogen conditions (+N). The lipid species we quantified include: DGDG, MGDG, LPC, LPE, PE, LPG, PC, PA, PG, PI, and PS. Our study sheds lights on the understanding of the relationships between autophagy and metabolism, especially lipid metabolism. |
| Institute | Iowa State University |
| Department | Biochemistry Biophysics, and Molecular Biology |
| Laboratory | Nikolau Lab |
| Last Name | Ding |
| First Name | Geng |
| Address | 2252 Molecular Biology BLDG, Pammel Drive |
| gengding@iastate.edu | |
| Phone | 515-294-0347 |
| Submit Date | 2022-02-21 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML |
| Analysis Type Detail | MS(Dir. Inf.) |
| Release Date | 2023-02-21 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN003679 |
|---|---|
| Analysis type | MS |
| Chromatography type | None (Direct infusion) |
| Chromatography system | N/A |
| Column | N/A |
| MS Type | ESI |
| MS instrument type | Triple quadrupole |
| MS instrument name | Waters Xevo-TQ-S |
| Ion Mode | POSITIVE |
| Units | nmol/mg dry weight |
MS:
| MS ID: | MS003430 |
| Analysis ID: | AN003679 |
| Instrument Name: | Waters Xevo-TQ-S |
| Instrument Type: | Triple quadrupole |
| MS Type: | ESI |
| MS Comments: | Mass spectrometry on a Xevo TQ-S (Waters Co., Milford, MA) was used to analyze the intact lipids by direct infusion in positive ion mode with precursor and neutral loss scans (Peters, Li et al. 2010, Xiao, Gao et al. 2010, Li, Baughman et al. 2014), using the scans shown in the Table. Data processing was also performed as previously described. Response factors were applied to the MGDG and DGDG analyses to correct for differences in the response of the mass spectrometer to unsaturated galactolipid species compared to the saturated internal standards. Generally, phospholipid data do not require response factor corrections, as the biological compounds and the internal standard have similar response factors (and no corrections were applied). |
| Ion Mode: | POSITIVE |
| Analysis Protocol File: | Lipidomics_MS.pdf |
