This dataset was produced by Lucau-Danila et al. (2005). In this study the authors measured the changes in the mRNA concentrations for each gene at successive times after addition of an antimitotic drug (benomyl), in the growth media of Saccharomyces cerevisiae cells. Parallel experiments were conducted in different genetic contexts: the wild type strain and knock out (KO) strains in which the genes coding for different transcription factors connected to drug response (YAP1, PDR1, PDR3 and YRR1) were deleted. For 78 genes, the measured expression values for 5 different time points (at 30s, 2min, 4min, 10min and 20min) are available, in each yeast strains (WT, DeltaYAP1, DeltaPDR1, DeltaPDR3 and DeltaYRR1). These genes are divided into 18 clusters of genes with condordant transcription profiles. In this context, regulatory associations between parent and target genes are proposed if the deletion of a parent gene significantly alters the expression measurements of the target genes.
A list that comprises information for the 18 clusters of genes whose expression is identically modified in strains deleted for YAP1, PDR1, PDR3 and YRR1 transcription factors, compared to the wild type strain. Detailed description and more information concerning these clusters can be found in Lebre et al. (2010).
Experimental data for genes that belong to the Cluster 1.
yeast$Cluster1 is a list composed of the following elements:
yeast$Cluster1$InitialCluster: A matrix with in row the genes that belong to
Cluster 1 and in column the different experimental measurements related to the
wild type strain (WT), and strains deleted for the transcription factor YAP1
(DeltaYAP1), PDR1 (DeltaPDR1), PDR3 (DeltaPDR3) and YRR1 (DeltaYRR1). For each
genetic context, 5 time points are available T1 = 30s, T2 = 2min, T3 = 4min,
T4 = 10min and T5 = 20min.
yeast$Cluster1$targetData: A vector with all gene expression measurements
correctly formatted to be analyzed with the
yeast$Cluster1$targetName: The name of the analyzed cluster.
yeast$Cluster1$GeneList: A vector with the names of the genes that belong to
the analyzed cluster.
yeast$Cluster1$parentData: A matrix with in row the four transcription factors
for which the corresponding genes were deleted (independantly) in knock out
strains. 1 = the gene coding for the transcription factor is present and 0 =
the gene coding for the transcription factor is deleted. This matrix is
correctly formatted to be analyzed with the
ARTIVAsubnet function, therefore
searching for regulatory interactions between YAP1, PDR1, PDR3 and YRR1
transcription factors and the genes that belong to the analyzed cluster.
yeast$Cluster1$dataDescription : A vector indicating the
ordering of the time measurements in the
Cluster2 to 18
Experimental data for genes that belong to the Cluster 2 to 18 (see the documentation for Cluster 1).
Expression data were obtained from the website:
The Early Expression of Yeast Genes Affected by Chemical Stress A. Lucau-Danila, G. Lelandais, Z. Kozovska, V. Tanty, T. Delaveau, F. Devaux and C. Jacq., Mol Cell Biol., 25(5):1860-8, 2005.
Statistical inference of the time-varying structure of gene regulation networks S. Lebre, J. Becq, F. Devaux, MP Stumpf, G. Lelandais., BMC Systems Biology 4:130, 2010.
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#### # Datasets related to the analysis of the genomic response of the yeast # Saccharomyces cerevisiae to an environmental stress induced by # benomyl (a toxic compound). # Analysis of the yeast data is presented in the original article of # ARTIVA (Lebre et al. BMC Syst. Biol, 2010) #### # Load the yeast dataset data(yeast) # This is a a list that comprises information for the 18 clusters of genes # whose expression is identically modified in strains deleted for # YAP1, PDR1, PDR3 and YRR1 transcription factors, # compared to the wild type strain. # As an illustration : analysis of one cluster cluster=4 # Different genes in a cluster is considered as repeated measurements. # Organisation of the different time point measurements is described in # variable : yeast[[cluster]]$dataDescription # Beacause of repeated measurements, the minimum segment length is set to # segMinLength = 1. # The parentdata is the experiment design (YAP1, PDR1, PDR3 and YRR1 # deletion) described in variable: yeast[[cluster]]$parentData # Time delay between parent and target genes is fixed to dyn=0. ## Not run: ARTIVAtest = ARTIVAsubnet(targetData = yeast[[cluster]]$targetData, targetName = yeast[[cluster]]$targetName, parentData = yeast[[cluster]]$parentData, parentNames = row.names(yeast[[cluster]]$parentData), dataDescription = yeast[[cluster]]$dataDescription, outputPath = paste("ARTIVA_Results_Cluster", cluster, sep = ""), dyn = 0, segMinLength = 1, edgesThreshold = 0.7, niter = 20000) ## End(Not run) # Detailed results can be found in the folder named # "ARTIVA_Results_Cluster4" (with the subfolders "Estimations" for # detailled results of the estimated parameters and "Pictures" for # graphical representations).
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