DROP Met, Data Resources Of Plant Metabolomics, is a repository and distribution site of the dataset obtained from our multiple MS-based metabolome analyses. Various kinds of datasets, ranging from raw fundamental data on analytical conditions to metabolic profiles of plant samples, are available to the public. We release some datasets in the raw, hoping that users in bioinformatics and metabolomics fields will develop novel algorithms and methodologies of metabolomics using our datasets. Please read Terms of Use carefully before using DROP Met.
DROP Met is maintained by DROP Met development team, which is supported in part by JST, CREST (Project name "Elucidation of Amino Acid Metabolism in Plants based on Integrated Omics Analyses").
Metabolic Systems Research Team & Integrated Genome Informatics Research Unit
RIKEN Plant Science Center
The MS raw data were acquired in positive mode of LC-FTICR-MS.
The raw files were converted to netCDF files stored here.
The MS raw data of the Arabidopsis mutants were acquired in positive mode of LC-QTOF-MS.
The raw files were converted to netCDF files stored here.
LC-ESI-QqQ-MS (UPLC-TQS, Waters) data derived from 93 Soybean RILs with excel file.
The MS and MS/MS raw data were acquired in the positive mode of LC-FT-ICR-MS.
The raw files were converted to netCDF files stored here.
Total 88 metabolites of raw LC-ESI-QqQ-MS (UPLC-TQS, Waters) data derived from 132 LjMG RILines with excel file.
Total 200 raw LC-ESI-TOF-MS chromatogram data derived from 20 Arabidopsis accession recorded with NetCDF format. These are part of the AtMetExpress metabolite accumulation atlas. Detailed information of each data files are described in the meta information (.txt) by following Metabolome Standard Initiative (MSI) recommendation.
Aritifical biological gradients between leaft and fruit samples from tomato for broad evaluation of quantification performance.
Metabolic profile data of miraculin over-expressing tomatoes grown on hydroponics (HC) and soil.
Metabolic profiles in seeds of 2,656 Arabidopsis transposon-tagged mutants and 225 Arabidopsis accessions. Peak areas were measured by UPLC-ZQMS analysis for 36 metabolites and recorded with Tab Separated Variables format.
"Toward genome-wide metabolotyping and elucidation of metabolic system: metabolic profiling of large-scale bioresources. Journal of Plant Research. (2010) 123, 291-298"
Total 288 raw LC-ESI-TOF-MS chromatogram data derived from 36 Arabidopsis tissues recorded with NetCDF format. These are part of the AtMetExpress metabolite accumulation atlas. Detailed information of each data files are described in the meta information (.txt) by following Metabolome Standard Initiative (MSI) recommendation.
"AtMetExpress Development: A phytochemical Atlas of Arabidopsis Develpment Plant Physiol. (2010) in press."
Total of 27 chromatograms with replicates of three different standard mixtures. Provided for validation of the Bioconductor package TargetSearch
"TargetSearch - a Bioconductor package for the efficient preprocessing of GC-MS metabolite profiling data. BMC Bioinformatics. (2009) 10:428"
Total 32 raw LC-ESI-MS chromatogram data derived from four Arabidopsis tissues (flower, rosette leaf, cauline leaf, and internode, eight replicates) recorded with NetCDF and ASCII format. Detailed information of each data files are described in the meta information (.txt) by following Metabolome Standard Initiative (MSI) recommendation. For details, please refer LC-MS branch.
"MS/MS spectral tag-based annotation of non-targeted profile of plant secondary metabolites. Plant J (2009) 57,555-577"
We optimized multiple reaction monitoring (MRM) conditions to detect each of the 860 compounds (as of Mar 2009) by means of widely targeted metabolomics. All datasets useful to condition your measurement system are released here. ESI-MS/MS spectra are also available in ReSpect for Phytochemicals. A dataset of the metabolite accumulation patterns in 14 plants from Brassicaceae, Gramineae and Fabaceae is also released here.
"Widely targeted metabolomics based on large-scale MS/MS data for elucidating metabolite accumulation patterns in plants." Plant Cell Physiol. (2009) 50, 37-47