@article{FerberGerhardsSaueretal.2020,
  author    = {Ferber, Elena and Gerhards, Julian and Sauer, Miriam and Krischke, Markus and Dittrich, Marcus T. and M{\"u}ller, Tobias and Berger, Susanne and Fekete, Agnes and Mueller, Martin J.},
  title     = {Chemical Priming by Isothiocyanates Protects Against Intoxication by Products of the Mustard Oil Bomb},
  series = {Frontiers in Plant Science},
  volume    = {11},
  journal   = {Frontiers in Plant Science},
  issn      = {1664-462X},
  doi       = {10.3389/fpls.2020.00887},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-207104},
  year      = {2020},
  abstract  = {In Brassicaceae, tissue damage triggers the mustard oil bomb i.e., activates the degradation of glucosinolates by myrosinases leading to a rapid accumulation of isothiocyanates at the site of damage. Isothiocyanates are reactive electrophilic species (RES) known to covalently bind to thiols in proteins and glutathione, a process that is not only toxic to herbivores and microbes but can also cause cell death of healthy plant tissues. Previously, it has been shown that subtoxic isothiocyanate concentrations can induce transcriptional reprogramming in intact plant cells. Glutathione depletion by RES leading to breakdown of the redox potential has been proposed as a central and common RES signal transduction mechanism. Using transcriptome analyses, we show that after exposure of Arabidopsis seedlings (grown in liquid culture) to subtoxic concentrations of sulforaphane hundreds of genes were regulated without depletion of the cellular glutathione pool. Heat shock genes were among the most highly up-regulated genes and this response was found to be dependent on the canonical heat shock factors A1 (HSFA1). HSFA1-deficient plants were more sensitive to isothiocyanates than wild type plants. Moreover, pretreatment of Arabidopsis seedlings with subtoxic concentrations of isothiocyanates increased resistance against exposure to toxic levels of isothiocyanates and, hence, may reduce the autotoxicity of the mustard oil bomb by inducing cell protection mechanisms.},
  language  = {en}
}
@article{UrbanRemmeleDittrichetal.2020,
  author    = {Urban, Lara and Remmele, Christian W. and Dittrich, Marcus and Schwarz, Roland F. and M{\"u}ller, Tobias},
  title     = {covRNA: discovering covariate associations in large-scale gene expression data},
  series = {BMC Reserach Notes},
  volume    = {13},
  journal   = {BMC Reserach Notes},
  doi       = {10.1186/s13104-020-04946-1},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-229258},
  year      = {2020},
  abstract  = {Objective The biological interpretation of gene expression measurements is a challenging task. While ordination methods are routinely used to identify clusters of samples or co-expressed genes, these methods do not take sample or gene annotations into account. We aim to provide a tool that allows users of all backgrounds to assess and visualize the intrinsic correlation structure of complex annotated gene expression data and discover the covariates that jointly affect expression patterns. Results The Bioconductor package covRNA provides a convenient and fast interface for testing and visualizing complex relationships between sample and gene covariates mediated by gene expression data in an entirely unsupervised setting. The relationships between sample and gene covariates are tested by statistical permutation tests and visualized by ordination. The methods are inspired by the fourthcorner and RLQ analyses used in ecological research for the analysis of species abundance data, that we modified to make them suitable for the distributional characteristics of both, RNA-Seq read counts and microarray intensities, and to provide a high-performance parallelized implementation for the analysis of large-scale gene expression data on multi-core computational systems. CovRNA provides additional modules for unsupervised gene filtering and plotting functions to ensure a smooth and coherent analysis workflow.},
  language  = {en}
}