Impact of Environmental Chemicals on Key Transcription Regulators and Correlation to Toxicity End Points within EPA’s ToxCast Program
Exposure to environmental chemicals adds to the burden of disease in humans and wildlife to a degree that is difficult to estimate and, thus, mitigate. The ability to assess the impact of existing chemicals for which little to no toxicity data are available or to foresee such effects during early st...
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          | Published in | Chemical research in toxicology Vol. 23; no. 3; pp. 578 - 590 | 
|---|---|
| Main Authors | , , , , , , , , , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        United States
          American Chemical Society
    
        15.03.2010
     | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 0893-228X 1520-5010 1520-5010  | 
| DOI | 10.1021/tx900325g | 
Cover
| Abstract | Exposure to environmental chemicals adds to the burden of disease in humans and wildlife to a degree that is difficult to estimate and, thus, mitigate. The ability to assess the impact of existing chemicals for which little to no toxicity data are available or to foresee such effects during early stages of chemical development and use, and before potential exposure occurs, is a pressing need. However, the capacity of the current toxicity evaluation approaches to meet this demand is limited by low throughput and high costs. In the context of EPA’s ToxCast project, we have evaluated a novel cellular biosensor system (Factorial) that enables rapid, high-content assessment of a compound’s impact on gene regulatory networks. The Factorial biosensors combined libraries of cis- and trans-regulated transcription factor reporter constructs with a highly homogeneous method of detection enabling simultaneous evaluation of multiplexed transcription factor activities. Here, we demonstrate the application of the technology toward determining bioactivity profiles by quantitatively evaluating the effects of 309 environmental chemicals on 25 nuclear receptors and 48 transcription factor response elements. We demonstrate coherent transcription factor activity across nuclear receptors and their response elements and that Nrf2 activity, a marker of oxidative stress, is highly correlated to the overall promiscuity of a chemical. Additionally, as part of the ToxCast program, we identify molecular targets that associate with in vivo end points and represent modes of action that can serve as potential toxicity pathway biomarkers and inputs for predictive modeling of in vivo toxicity. | 
    
|---|---|
| AbstractList | Exposure to environmental chemicals adds to the burden of disease in humans and wildlife to a degree that is difficult to estimate and, thus, mitigate. The ability to assess the impact of existing chemicals for which little to no toxicity data are available or to foresee such effects during early stages of chemical development and use, and before potential exposure occurs, is a pressing need. However, the capacity of the current toxicity evaluation approaches to meet this demand is limited by low throughput and high costs. In the context of EPA's ToxCast project, we have evaluated a novel cellular biosensor system (Factorial (1) ) that enables rapid, high-content assessment of a compound's impact on gene regulatory networks. The Factorial biosensors combined libraries of cis- and trans-regulated transcription factor reporter constructs with a highly homogeneous method of detection enabling simultaneous evaluation of multiplexed transcription factor activities. Here, we demonstrate the application of the technology toward determining bioactivity profiles by quantitatively evaluating the effects of 309 environmental chemicals on 25 nuclear receptors and 48 transcription factor response elements. We demonstrate coherent transcription factor activity across nuclear receptors and their response elements and that Nrf2 activity, a marker of oxidative stress, is highly correlated to the overall promiscuity of a chemical. Additionally, as part of the ToxCast program, we identify molecular targets that associate with in vivo end points and represent modes of action that can serve as potential toxicity pathway biomarkers and inputs for predictive modeling of in vivo toxicity. Exposure to environmental chemicals adds to the burden of disease in humans and wildlife to a degree that is difficult to estimate and, thus, mitigate. The ability to assess the impact of existing chemicals for which little to no toxicity data are available or to foresee such effects during early stages of chemical development and use, and before potential exposure occurs, is a pressing need. However, the capacity of the current toxicity evaluation approaches to meet this demand is limited by low throughput and high costs. In the context of EPA’s ToxCast project, we have evaluated a novel cellular biosensor system (Factorial) that enables rapid, high-content assessment of a compound’s impact on gene regulatory networks. The Factorial biosensors combined libraries of cis- and trans-regulated transcription factor reporter constructs with a highly homogeneous method of detection enabling simultaneous evaluation of multiplexed transcription factor activities. Here, we demonstrate the application of the technology toward determining bioactivity profiles by quantitatively evaluating the effects of 309 environmental chemicals on 25 nuclear receptors and 48 transcription factor response elements. We demonstrate coherent transcription factor activity across nuclear receptors and their response elements and that Nrf2 activity, a marker of oxidative stress, is highly correlated to the overall promiscuity of a chemical. Additionally, as part of the ToxCast program, we identify molecular targets that associate with in vivo end points and represent modes of action that can serve as potential toxicity pathway biomarkers and inputs for predictive modeling of in vivo toxicity. Exposure to environmental chemicals adds to the burden of disease in humans and wildlife to a degree that is difficult to estimate and, thus, mitigate. The ability to assess the impact of existing chemicals for which little to no toxicity data are available or to foresee such effects during early stages of chemical development and use, and before potential exposure occurs, is a pressing need. However, the capacity of the current toxicity evaluation approaches to meet this demand is limited by low throughput and high costs. In the context of EPA's ToxCast project, we have evaluated a novel cellular biosensor system (Factorial (1) ) that enables rapid, high-content assessment of a compound's impact on gene regulatory networks. The Factorial biosensors combined libraries of cis- and trans-regulated transcription factor reporter constructs with a highly homogeneous method of detection enabling simultaneous evaluation of multiplexed transcription factor activities. Here, we demonstrate the application of the technology toward determining bioactivity profiles by quantitatively evaluating the effects of 309 environmental chemicals on 25 nuclear receptors and 48 transcription factor response elements. We demonstrate coherent transcription factor activity across nuclear receptors and their response elements and that Nrf2 activity, a marker of oxidative stress, is highly correlated to the overall promiscuity of a chemical. Additionally, as part of the ToxCast program, we identify molecular targets that associate with in vivo end points and represent modes of action that can serve as potential toxicity pathway biomarkers and inputs for predictive modeling of in vivo toxicity.Exposure to environmental chemicals adds to the burden of disease in humans and wildlife to a degree that is difficult to estimate and, thus, mitigate. The ability to assess the impact of existing chemicals for which little to no toxicity data are available or to foresee such effects during early stages of chemical development and use, and before potential exposure occurs, is a pressing need. However, the capacity of the current toxicity evaluation approaches to meet this demand is limited by low throughput and high costs. In the context of EPA's ToxCast project, we have evaluated a novel cellular biosensor system (Factorial (1) ) that enables rapid, high-content assessment of a compound's impact on gene regulatory networks. The Factorial biosensors combined libraries of cis- and trans-regulated transcription factor reporter constructs with a highly homogeneous method of detection enabling simultaneous evaluation of multiplexed transcription factor activities. Here, we demonstrate the application of the technology toward determining bioactivity profiles by quantitatively evaluating the effects of 309 environmental chemicals on 25 nuclear receptors and 48 transcription factor response elements. We demonstrate coherent transcription factor activity across nuclear receptors and their response elements and that Nrf2 activity, a marker of oxidative stress, is highly correlated to the overall promiscuity of a chemical. Additionally, as part of the ToxCast program, we identify molecular targets that associate with in vivo end points and represent modes of action that can serve as potential toxicity pathway biomarkers and inputs for predictive modeling of in vivo toxicity.  | 
    
| Author | Rotroff, Daniel M Dix, David J Poltoratskaya, Natalia Judson, Richard S Moeser, Matt Makarov, Sergei S Houck, Keith A Gambarian, Maria Medvedev, Alexander Romanov, Sergei Reif, David M Richard, Ann M Kavlock, Robert J Martin, Matthew T  | 
    
| Author_xml | – sequence: 1 givenname: Matthew T surname: Martin fullname: Martin, Matthew T email: martin.matt@epa.gov – sequence: 2 givenname: David J surname: Dix fullname: Dix, David J – sequence: 3 givenname: Richard S surname: Judson fullname: Judson, Richard S – sequence: 4 givenname: Robert J surname: Kavlock fullname: Kavlock, Robert J – sequence: 5 givenname: David M surname: Reif fullname: Reif, David M – sequence: 6 givenname: Ann M surname: Richard fullname: Richard, Ann M – sequence: 7 givenname: Daniel M surname: Rotroff fullname: Rotroff, Daniel M – sequence: 8 givenname: Sergei surname: Romanov fullname: Romanov, Sergei – sequence: 9 givenname: Alexander surname: Medvedev fullname: Medvedev, Alexander – sequence: 10 givenname: Natalia surname: Poltoratskaya fullname: Poltoratskaya, Natalia – sequence: 11 givenname: Maria surname: Gambarian fullname: Gambarian, Maria – sequence: 12 givenname: Matt surname: Moeser fullname: Moeser, Matt – sequence: 13 givenname: Sergei S surname: Makarov fullname: Makarov, Sergei S – sequence: 14 givenname: Keith A surname: Houck fullname: Houck, Keith A  | 
    
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/20143881$$D View this record in MEDLINE/PubMed | 
    
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| SubjectTerms | Animals Biosensing Techniques - economics Biosensing Techniques - instrumentation Biosensing Techniques - methods Environmental Pollutants - adverse effects Hep G2 Cells Rabbits Rats Receptors, Cytoplasmic and Nuclear - genetics Response Elements - drug effects Transcription Factors - genetics Transcription, Genetic - drug effects  | 
    
| Title | Impact of Environmental Chemicals on Key Transcription Regulators and Correlation to Toxicity End Points within EPA’s ToxCast Program | 
    
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