| Title: | MetaboLights MTBLS2: Comparative LC/MS-based profiling of silver nitrate-treated Arabidopsis thaliana leaves of wild-type and cyp79B2 cyp79B3 double knockout plants. Böttcher et al. (2004) |
|---|---|
| Description: | Indole-3-acetaldoxime (IAOx) represents an early intermediate of the biosynthesis of a variety of indolic secondary metabolites including the phytoanticipin indol-3-ylmethyl glucosinolate and the phytoalexin camalexin (3-thiazol-2'-yl-indole). Arabidopsis thaliana cyp79B2 cyp79B3 double knockout plants are completely impaired in the conversion of tryptophan to indole-3-acetaldoxime and do not accumulate IAOx-derived metabolites any longer. Consequently, comparative analysis of wild-type and cyp79B2 cyp79B3 plant lines has the potential to explore the complete range of IAOx-derived indolic secondary metabolites. |
| Authors: | Steffen Neumann <[email protected]> |
| Maintainer: | Steffen Neumann <[email protected]> |
| License: | CC0 |
| Version: | 1.42.0 |
| Built: | 2026-10-10 11:10:13 UTC |
| Source: | https://github.com/bioc/mtbls2 |
xcmsSet object from the data in the paper on "Indole-3-acetaldoxime (IAOx) represents an early intermediate of the biosynthesis of a variety of indolic secondary metabolites including the phytoanticipin indol-3-ylmethyl glucosinolate and the phytoalexin camalexin (3-thiazol-2'-yl-indole). Arabidopsis thaliana cyp79B2 cyp79B3 double knockout plants are completely impaired in the conversion of tryptophan to indole-3-acetaldoxime and do not accumulate IAOx-derived metabolites any longer. Consequently, comparative analysis of wild-type and cyp79B2 cyp79B3 plant lines has the potential to explore the complete range of IAOx-derived indolic secondary metabolites."
It was collected in positive ionization mode.
data(mtbls2)data(mtbls2)
The format is:
Formal class 'xcmsSet' [package "xcms"] with 12 slots ..@ peaks : num [1:83861, 1:23] 361 369 447 277 372 ... .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : NULL .. .. ..$ : chr [1:23] "mz" "mzmin" "mzmax" "rt" ... ..@ groups : logi[0 , 0 ] ..@ groupidx : list() ..@ filled : int(0) ..@ phenoData :'data.frame': 16 obs. of 2 variables: .. ..$ Factor.Value.genotype. : Factor w/ 2 levels "Col-0","cyp79": 1 1 1 1 2 2 2 2 1 1 ... .. ..$ Factor.Value.replicate.: Factor w/ 2 levels "Exp1","Exp2": 1 1 1 1 1 1 1 1 2 2 ... ..@ rt :List of 2 .. ..$ raw :List of 16 .. .. ..$ : num [1:3562] 0.562 0.898 1.235 1.572 1.908 ... .. .. ..$ : num [1:3570] 0.57 0.907 1.244 1.58 1.917 ... .. .. ..$ : num [1:3564] 0.823 1.159 1.496 1.833 2.236 ... .. .. ..$ : num [1:3566] 0.501 0.838 1.175 1.511 1.848 ... .. .. ..$ : num [1:3565] 0.514 0.851 1.187 1.524 1.861 ... .. .. ..$ : num [1:3566] 0.73 1.07 1.4 1.74 2.08 ... .. .. ..$ : num [1:3567] 0.513 0.85 1.187 1.523 1.86 ... .. .. ..$ : num [1:3568] 0.499 0.836 1.173 1.509 1.846 ... .. .. ..$ : num [1:3567] 0.53 0.866 1.203 1.54 1.876 ... .. .. ..$ : num [1:3567] 0.672 1.008 1.345 1.682 2.019 ... .. .. ..$ : num [1:3568] 0.604 0.94 1.277 1.614 1.95 ... .. .. ..$ : num [1:3566] 0.514 0.85 1.187 1.524 1.86 ... .. .. ..$ : num [1:3568] 0.511 0.848 1.184 1.521 1.858 ... .. .. ..$ : num [1:3567] 0.483 0.82 1.156 1.493 1.83 ... .. .. ..$ : num [1:3567] 0.508 0.844 1.181 1.518 1.855 ... .. .. ..$ : num [1:3568] 0.48 0.817 1.154 1.491 1.827 ... .. ..$ corrected:List of 16 .. .. ..$ : num [1:3562] 0.562 0.898 1.235 1.572 1.908 ... .. .. ..$ : num [1:3570] 0.57 0.907 1.244 1.58 1.917 ... .. .. ..$ : num [1:3564] 0.823 1.159 1.496 1.833 2.236 ... .. .. ..$ : num [1:3566] 0.501 0.838 1.175 1.511 1.848 ... .. .. ..$ : num [1:3565] 0.514 0.851 1.187 1.524 1.861 ... .. .. ..$ : num [1:3566] 0.73 1.07 1.4 1.74 2.08 ... .. .. ..$ : num [1:3567] 0.513 0.85 1.187 1.523 1.86 ... .. .. ..$ : num [1:3568] 0.499 0.836 1.173 1.509 1.846 ... .. .. ..$ : num [1:3567] 0.53 0.866 1.203 1.54 1.876 ... .. .. ..$ : num [1:3567] 0.672 1.008 1.345 1.682 2.019 ... .. .. ..$ : num [1:3568] 0.604 0.94 1.277 1.614 1.95 ... .. .. ..$ : num [1:3566] 0.514 0.85 1.187 1.524 1.86 ... .. .. ..$ : num [1:3568] 0.511 0.848 1.184 1.521 1.858 ... .. .. ..$ : num [1:3567] 0.483 0.82 1.156 1.493 1.83 ... .. .. ..$ : num [1:3567] 0.508 0.844 1.181 1.518 1.855 ... .. .. ..$ : num [1:3568] 0.48 0.817 1.154 1.491 1.827 ... ..@ filepaths : chr [1:16] "/usr/local/lib/R/site-library/mtbls2//vol/R/BioC/devel/mtbls2/MSpos-Ex1-Col0-48h-Ag-1_1-A,1_01_9818.mzData" "/usr/local/lib/R/site-library/mtbls2//vol/R/BioC/devel/mtbls2/MSpos-Ex1-Col0-48h-Ag-2_1-A,1_01_9820.mzData" "/usr/local/lib/R/site-library/mtbls2//vol/R/BioC/devel/mtbls2/MSpos-Ex1-Col0-48h-Ag-3_1-A,1_01_9822.mzData" "/usr/local/lib/R/site-library/mtbls2//vol/R/BioC/devel/mtbls2/MSpos-Ex1-Col0-48h-Ag-4_1-A,1_01_9824.mzData" ... ..@ profinfo :List of 2 .. ..$ method: chr "bin" .. ..$ step : num 0.1 ..@ dataCorrection : int(0) ..@ polarity : chr(0) ..@ progressInfo :List of 12 .. ..$ group.density : num 0 .. ..$ group.mzClust : num 0 .. ..$ group.nearest : num 0 .. ..$ findPeaks.centWave : num 0 .. ..$ findPeaks.massifquant : num 0 .. ..$ findPeaks.matchedFilter: num 0 .. ..$ findPeaks.MS1 : num 0 .. ..$ findPeaks.MSW : num 0 .. ..$ retcor.obiwarp : num 0 .. ..$ retcor.peakgroups : num 0 .. ..$ fillPeaks.chrom : num 0 .. ..$ fillPeaks.MSW : num 0 ..@ progressCallback:function (progress)
The corresponding raw mzData files are located in the mzData
subdirectory of this package.
http://www.ebi.ac.uk/metabolights/MTBLS2 https://github.com/sneumann/mtbls2
Neumann, S., Thum, A. & Böttcher, C. Nearline acquisition and processing of liquid chromatography-tandem mass spectrometry data Metabolomics (2012) DOI: 10.1007/s11306-012-0401-0
data(mtbls2) ## The directory with the mzData LC/MS files filepath <- file.path(find.package("mtbls2"), "mzData") filepath list.files(filepath, recursive = TRUE) if (require(xcms)) { ## xcmsSet Summary show(mtbls2Set) filepaths(mtbls2Set)[1] ## Access raw data file ## Not run: xr <- xcmsRaw(filepaths(mtbls2Set)[1], profmethod = "bin", profstep = 0.1) xr ## End(Not run) }data(mtbls2) ## The directory with the mzData LC/MS files filepath <- file.path(find.package("mtbls2"), "mzData") filepath list.files(filepath, recursive = TRUE) if (require(xcms)) { ## xcmsSet Summary show(mtbls2Set) filepaths(mtbls2Set)[1] ## Access raw data file ## Not run: xr <- xcmsRaw(filepaths(mtbls2Set)[1], profmethod = "bin", profstep = 0.1) xr ## End(Not run) }