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TranscriptomicsCyanide response in Escherichia coli
The goal was to ascertain the impact of cyanide treatment on E. coli's transcriptome. There were 4 biological samples. For each sample there were two replicate DNA microarray performed. Data was analyzed with Imagene and lcDNA Hyduke DR, Rohlin L, Kao KC, Liao JC. 2003 A software package for cDNA ...
ORGANISM(S): Escherichia coli 
2014-07-31 | E-GEOD-23578 | biostudies-arrayexpress
TranscriptomicsIntegration of metabolic activation with a predictive toxicogenomics signature to classify genotoxic versus nongenotoxic chemicals in human TK6 cells
The use of integrated approaches in genetic toxicology, including the incorporation of gene expression data to determine the molecular pathways involved in the response, is becoming more common. In a companion paper, a genomic biomarker was developed in human TK6 cells to classify chemicals as genot...
ORGANISM(S): Homo sapiens 
2015-04-15 | E-GEOD-58782 | biostudies-arrayexpress
TranscriptomicsIntegration of metabolic activation with a predictive toxicogenomics signature to classify genotoxic versus nongenotoxic chemicals in human TK6 cells [BaP 8hr]
The use of integrated approaches in genetic toxicology, including the incorporation of gene expression data to determine the molecular pathways involved in the response, is becoming more common. In a companion paper, a genomic biomarker was developed in human TK6 cells to classify chemicals as genot...
ORGANISM(S): Homo sapiens 
2015-04-15 | E-GEOD-51173 | biostudies-arrayexpress
TranscriptomicsIntegration of metabolic activation with a predictive toxicogenomics signature to classify genotoxic versus nongenotoxic chemicals in human TK6 cells [DEX]
The use of integrated approaches in genetic toxicology, including the incorporation of gene expression data to determine the molecular pathways involved in the response, is becoming more common. In a companion paper, a genomic biomarker was developed in human TK6 cells to classify chemicals as genot...
ORGANISM(S): Homo sapiens 
2015-04-15 | E-GEOD-51174 | biostudies-arrayexpress
TranscriptomicsIntegration of metabolic activation with a predictive toxicogenomics signature to classify genotoxic versus nongenotoxic chemicals in human TK6 cells [AFB1]
The use of integrated approaches in genetic toxicology, including the incorporation of gene expression data to determine the molecular pathways involved in the response, is becoming more common. In a companion paper, a genomic biomarker was developed in human TK6 cells to classify chemicals as genot...
ORGANISM(S): Homo sapiens 
2015-04-15 | E-GEOD-51171 | biostudies-arrayexpress
TranscriptomicsIntegration of metabolic activation with a predictive toxicogenomics signature to classify genotoxic versus nongenotoxic chemicals in human TK6 cells [BaP]
The use of integrated approaches in genetic toxicology, including the incorporation of gene expression data to determine the molecular pathways involved in the response, is becoming more common. In a companion paper, a genomic biomarker was developed in human TK6 cells to classify chemicals as genot...
ORGANISM(S): Homo sapiens 
2015-04-15 | E-GEOD-51172 | biostudies-arrayexpress
TranscriptomicsIntegration of metabolic activation with a predictive toxicogenomics signature to classify genotoxic versus nongenotoxic chemicals in human TK6 cells
This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
ORGANISM(S): Homo sapiens 
2015-04-15 | E-GEOD-51175 | biostudies-arrayexpress
ModelsThiele2011 - Genome-scale metabolic network of Salmonella Typhimurium (STM_v1_0)
Thiele2011 - Genome-scale metabolic network of Salmonella Typhimurium (STM_v1_0) This model is described in the article: A community effort towards a knowledge-base and mathematical model of the human pathogen Salmonella Typhimurium LT2. Thiele I, Hyduke DR, Steeb B, Fankam ...
2015-07-30 | MODEL1507180017 | BioModels
TranscriptomicsModel-driven multi-omic data analysis elucidates metabolic immunomodulators of macrophage activation
We used genome-scale modeling and multi-omics (transcriptomics, proteomics, and metabolomics) analysis to assess metabolic features that are critical for macrophage activation. We constructed a genome-scale metabolic network for the RAW 264.7 cell line to determine metabolic modulators of activation...
ORGANISM(S): Mus musculus 
2012-08-02 | E-GEOD-39785 | biostudies-arrayexpress
MetabolomicsModel-driven multi-omic data analysis elucidates metabolic immunomodulators of macrophage activation
Macrophages are central players in immune response, manifesting divergent phenotypes to control inflammation and innate immunity through release of cytokines and other signaling factors. Recently, the focus on metabolism has been reemphasized as critical signaling and regulatory pathways of human pa...
2012-09-05 | MTBLS23 | MetaboLights
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