Gene Expression Profiling on the Classification of Androgenic Endocrine Disrupting Chemicals: Quart Medaka Medium

• Activity Number: 138
• Type: Contributed
• Date/Time: Monday, August 1, 2011 : 8:30 AM to 10:20 PM
• Sponsor: Section on Statistics and the Environment
• Author(s): Ping-Shi Wu*+
• Companies: Lehigh University
• Keywords: Classification ; Gene Expression ; Endocrine Disrupting Activity

Abstract

Endocrine disrupting chemicals (EDCs), that are often found in municipal wastewater, compromise development and/or sexual maturation of aquatic organisms by mimicking or antagonizing the actions of natural hormones. A bioassay using model organism can be a powerful tool as it enables us not only to predict presence of EDCs in water through biological responses but also to assess potential impacts on aquatic organisms due to EDCs exposure. Here we demonstrate the possibility of EDC classification based on gene expression profiling by microarray technique using medaka as a sentinel organism. In this study, successful classification of estrogenic effect on a validation set by using both support vector machine and Fisher's linear discriminant analysis, achieving 9% (1/11) misclassification rate. This discovery shed a new light on the screening of environmental water with respect to androgenic, estrogenic and thyroidogenic effects, which can be easily extended to screening/monitoring endocrine disrupting activities.