Summary of Study ST002867
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 PR001462. The data can be accessed directly via it's Project DOI: 10.21228/M8R997 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 | ST002867 |
| Study Title | Root VOCs of Arabidopsis thaliana and its mutants |
| Study Summary | This study provides a comprehensive list of root VOCs detected from the rhizosphere of Arabidopsis thaliana and the mutants belonging to their biosynthetic pathways. |
| Institute | National University of Singapore |
| Last Name | Kulkarni |
| First Name | Omkar |
| Address | Dept of Biological Sciences,Metabolites Biology Lab,, Science drive 4,Block S1A #06-03 |
| omkar@u.nus.edu | |
| Phone | 98668733 |
| Submit Date | 2023-04-20 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | d |
| Analysis Type Detail | GC-MS |
| Release Date | 2023-09-21 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN004700 |
|---|---|
| Analysis type | MS |
| Chromatography type | GC |
| Chromatography system | Agilent 7890B |
| Column | Agilent DB-FFAP (60m x 250um, 0.25um) |
| MS Type | EI |
| MS instrument type | QTOF |
| MS instrument name | Agilent 5977B |
| Ion Mode | POSITIVE |
| Units | % relative peak abundance |
MS:
| MS ID: | MS004447 |
| Analysis ID: | AN004700 |
| Instrument Name: | Agilent 5977B |
| Instrument Type: | QTOF |
| MS Type: | EI |
| MS Comments: | Analysis was performed using MassHunter Qualified software to extract and integrate peat spectra to profile the root volatiles from WT and mutant lines. The data from only soil was considered as the blank and was subtracted from the rVOCs data. Compounds were identified by using the library NIST 2020 (Agilent Technologies, Palo Alto, CA, USA) with minimum hit count of 65. The compounds that were found to be present in at least two biological replicates out of three were taken into consideration for further analysis. |
| Ion Mode: | POSITIVE |
