Molecular Toxicity Identification Evaluation (mTIE) Approach Predicts Chemical Exposure in Daphnia magna
SCIE
SCOPUS
Cited 29 time in
WEB OF SCIENCE
Cited 0 time in
Scopus
-
Title
- Molecular Toxicity Identification Evaluation (mTIE) Approach Predicts Chemical Exposure in Daphnia magna
-
Author(s)
- Antczak, Philipp; Jo, Hun Je; Woo, Seonock; Scanlan, Leona; Poynton, Helen; Loguinov, Alex; Chan, Sarah; Falciani, Francesco; Vulpe, Chris
- KIOST Author(s)
- Woo, Seon Ock(우선옥)
-
Alternative Author(s)
- 우선옥
-
Publication Year
- 2013-10-15
-
Abstract
- Daphnia magna is a bioindicator organism accepted by several international water quality regulatory agencies. Current approaches for assessment of water quality rely on acute and chronic toxicity that provide no insight into the cause of toxicity. Recently, molecular approaches, such as genome wide gene expression responses, are enabling an alternative mechanism based approach to toxicity assessment. While these genomic methods are providing important mechanistic insight into toxicity, statistically robust prediction systems that allow the identification of chemical contaminants from the molecular response to exposure are needed. Here we apply advanced machine learning approaches to develop predictive models of contaminant exposure using a D. magna gene expression data set for 36 chemical exposures. We demonstrate here that we can discriminate between chemicals belonging to different chemical classes including endocrine disruptors and inorganic and organic chemicals based on gene expression. We also show that predictive models based on indices of whole pathway transcriptional activity can achieve comparable results while facilitating biological interpretability.
-
ISSN
- 0013-936X
-
URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/3082
-
DOI
- 10.1021/es402819c
-
Bibliographic Citation
- ENVIRONMENTAL SCIENCE & TECHNOLOGY, v.47, no.20, pp.11747 - 11756, 2013
-
Publisher
- AMER CHEMICAL SOC
-
Subject
- ENDOCRINE DISRUPTION; VARIABLE SELECTION; RESPONSES; PATHWAY; ECOTOXICOGENOMICS; BIOMARKER; PROFILES; CADMIUM; MARINE; MODELS
-
Type
- Article
-
Language
- English
-
Document Type
- Article
- Files in This Item:
-
There are no files associated with this item.
Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.