Exposure to common environmental chemicals, including those found in personal care products has been linked to mammary cancer at high doses in animal models. Their effects at low doses at levels comparable to human exposure, especially during critical windows of development remain poorly understood. Using a Sprague-Dawley rat model, we investigated the effects of of three environmental chemicals diethyl phthalate (DEP), methyl paraben (MPB) and triclosan (TCS) on the transcriptome of normal developing mammary glands at low doses mimicking human exposure. Rats were exposed during three windows of early development perinatal (gestation day (GD) 1 - 20 or postnatal day (PND) 1 - 20), prepubertal (PND 21 - 41) and pubertal (PND 42 - 62), as well as chronic exposure from birth to end of lactation (PND 1 - 146). Mammary gland whole-transcriptomes were profiled by Affymetrix rat gene 2.0 st arrays.
Changes in mammary histology and transcriptome profiles by low-dose exposure to environmental phenols at critical windows of development.
Sex, Specimen part
View SamplesThere is a lack of systematic investigations of large-scale transcriptome patterns associated with normal breast development. Herein, we profiled whole-transcriptome (by microarrays) of normal mammary glands in female Sprague-Dawley rats, an animal model widely used in breast cancer research, across six distinctive developmental stages pre-pubertal, peri-pubertal, pubertal, lactation, and adult parous and age-matched nulliparous.
Histology and Transcriptome Profiles of the Mammary Gland across Critical Windows of Development in Sprague Dawley Rats.
Sex, Specimen part
View SamplesThe dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions.
Antiviral response dictated by choreographed cascade of transcription factors.
Specimen part, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Human Dendritic Cell Response Signatures Distinguish 1918, Pandemic, and Seasonal H1N1 Influenza Viruses.
Specimen part, Treatment
View SamplesAn 8 hours timecourse was performed with human DCs infected either with A/California/7/2009 and A/Brevig Mission/1/1918 (pandemic) or A/New Caledonia/20/99 and A/Texas/36/91 seosonal.
Human Dendritic Cell Response Signatures Distinguish 1918, Pandemic, and Seasonal H1N1 Influenza Viruses.
Specimen part, Treatment
View SamplesAn 8 hours timecourse was performed with human DCs infected either with A/California/7/2009 and A/Brevig Mission/1/1918 (pandemic) or A/New Caledonia/20/99 and A/Texas/36/91 seosonal.
Human Dendritic Cell Response Signatures Distinguish 1918, Pandemic, and Seasonal H1N1 Influenza Viruses.
Specimen part, Treatment
View SamplesA673 cells were exposed in triplicate to three agrichemicals for 24hrs at 8 concentrations and a DMSO vehicle control (0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1, 3, and 10 M plus DMSO vehicle controls). While a common set of DMSO controls was used, these CEL files were RMA normalized independently with each of the chemical treated groups. Gene expression was measured on an Affymetrix GeneTitan system. The compounds used were fenbuconazole (a.k.a FENB, CAS # 114369-43-6) a triazole fungicide, imazalil (a.k.a. IMAZ, CAS # 35554-44-0), an azole pesticide, and 2,4-dichlorophenoxyacetic acid (a.k.a. 2,4-D or 2-4-D in file names, CAS # 94-75-7), a chlorophenoxy herbicide.
A Qualitative Modeling Approach for Whole Genome Prediction Using High-Throughput Toxicogenomics Data and Pathway-Based Validation.
Specimen part, Cell line
View SamplesMCF7 cells were exposed in triplicate to three agrichemicals for 24hrs at 8 concentrations and a DMSO vehicle control (0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1, 3, and 10 M plus DMSO vehicle controls). While a common set of DMSO controls was used, these CEL files were RMA normalized independently with each of the chemical treated groups. Gene expression was measured on an Affymetrix GeneTitan system. The compounds used were fenbuconazole (a.k.a FENB, CAS # 114369-43-6) a triazole fungicide, imazalil (a.k.a. IMAZ, CAS # 35554-44-0), an azole pesticide, and 2,4-dichlorophenoxyacetic acid (a.k.a. 2,4-D or 2-4-D in file names, CAS # 94-75-7), a chlorophenoxy herbicide.
A Qualitative Modeling Approach for Whole Genome Prediction Using High-Throughput Toxicogenomics Data and Pathway-Based Validation.
Specimen part, Cell line
View SamplesHepaRG cells were exposed in triplicate to three agrichemicals for 24hrs at 8 concentrations and a DMSO vehicle control (0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1, 3, and 10 M plus DMSO vehicle controls). While a common set of DMSO controls was used, these CEL files were RMA normalized independently with each of the chemical treated groups. Gene expression was measured on an Affymetrix GeneTitan system. The compounds used were fenbuconazole (a.k.a FENB, CAS # 114369-43-6) a triazole fungicide, imazalil (a.k.a. IMAZ, CAS # 35554-44-0), an azole pesticide, and 2,4-dichlorophenoxyacetic acid (a.k.a. 2,4-D or 2-4-D in file names, CAS # 94-75-7), a chlorophenoxy herbicide.
A Qualitative Modeling Approach for Whole Genome Prediction Using High-Throughput Toxicogenomics Data and Pathway-Based Validation.
Specimen part, Cell line
View SamplesHpeG2 cells were exposed in triplicate to three agrichemicals for 24hrs at 8 concentrations and a DMSO vehicle control (0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1, 3, and 10 M plus DMSO vehicle controls). While a common set of DMSO controls was used, these CEL files were RMA normalized independently with each of the chemical treated groups. Gene expression was measured on an Affymetrix GeneTitan system. The compounds used were fenbuconazole (a.k.a FENB, CAS # 114369-43-6) a triazole fungicide, imazalil (a.k.a. IMAZ, CAS # 35554-44-0), an azole pesticide, and 2,4-dichlorophenoxyacetic acid (a.k.a. 2,4-D or 2-4-D in file names, CAS # 94-75-7), a chlorophenoxy herbicide.
A Qualitative Modeling Approach for Whole Genome Prediction Using High-Throughput Toxicogenomics Data and Pathway-Based Validation.
Specimen part, Cell line
View Samples