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A Novel Approach for a Toxicity Prediction Model of Environmental Pollutants by Using a Quantitative Structure-Activity Relationship Method Based on Toxicogenomics
Joint Authors
Tamura, Kumiko
Ito, Tsuyoshi
Okumura, Hiroki
Muraki, Naomi
Hosoya, Junichi
Maeno, Mitsugu
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-07-02
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The development of automobile emission reduction technologies has decreased dramatically the particle concentration in emissions; however, there is a possibility that unexpected harmful chemicals are formed in emissions due to new technologies and fuels.
Therefore, we attempted to develop new and efficient toxicity prediction models for the myriad environmental pollutants including those in automobile emissions.
We chose 54 compounds related to engine exhaust and, by use of the DNA microarray, examined their effect on gene expression in human lung cells.
We focused on IL-8 as a proinflammatory cytokine and developed a prediction model with quantitative structure-activity relationship (QSAR) for the IL-8 gene expression by using an in silico system.
Our results demonstrate that this model showed high accuracy in predicting upregulation of the IL-8 gene.
These results suggest that the prediction model with QSAR based on the gene expression from toxicogenomics may have great potential in predictive toxicology of environmental pollutants.
American Psychological Association (APA)
Hosoya, Junichi& Tamura, Kumiko& Muraki, Naomi& Okumura, Hiroki& Ito, Tsuyoshi& Maeno, Mitsugu. 2011. A Novel Approach for a Toxicity Prediction Model of Environmental Pollutants by Using a Quantitative Structure-Activity Relationship Method Based on Toxicogenomics. ISRN Toxicology،Vol. 2011, no. 2011, pp.1-9.
https://search.emarefa.net/detail/BIM-477806
Modern Language Association (MLA)
Hosoya, Junichi…[et al.]. A Novel Approach for a Toxicity Prediction Model of Environmental Pollutants by Using a Quantitative Structure-Activity Relationship Method Based on Toxicogenomics. ISRN Toxicology No. 2011 (2011), pp.1-9.
https://search.emarefa.net/detail/BIM-477806
American Medical Association (AMA)
Hosoya, Junichi& Tamura, Kumiko& Muraki, Naomi& Okumura, Hiroki& Ito, Tsuyoshi& Maeno, Mitsugu. A Novel Approach for a Toxicity Prediction Model of Environmental Pollutants by Using a Quantitative Structure-Activity Relationship Method Based on Toxicogenomics. ISRN Toxicology. 2011. Vol. 2011, no. 2011, pp.1-9.
https://search.emarefa.net/detail/BIM-477806
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-477806