Science Inventory

Probing the ToxCastTM Chemical Library for Predictive Signatures of Developmental Toxicity - Poster at Teratology Society Annual Meeting

Citation:

SIPES, N., M. T. MARTIN, D. REIF, N. KLEINSTREUER, R. JUDSON, A. V. SINGH, K. J. CHANDLER, D. J. DIX, R. J. KAVLOCK, AND T. B. KNUDSEN. Probing the ToxCastTM Chemical Library for Predictive Signatures of Developmental Toxicity - Poster at Teratology Society Annual Meeting. Presented at 51st Annual meeting of the Teratology Society, Coronado, CA, June 25 - 29, 2011.

Impact/Purpose:

We hypothesize that cell signaling pathways are primary targets for diverse environmental chemicals that disrupt embryogenesis via combinatorial effects on cellular functions. To test this hypothesis, we built statistical associations based on in vitro high-throughput screening (HTS) data from ToxCast and in vivo developmental toxicity data from ToxRefDB.

Description:

EPA’s ToxCast™ project is profiling the in vitro bioactivity of chemical compounds to assess pathway-level and cell-based signatures that correlate with observed in vivo toxicity. We hypothesize that cell signaling pathways are primary targets for diverse environmental chemicals that disrupt embryogenesis via combinatorial effects on cellular functions. To test this hypothesis, we built statistical associations based on in vitro high-throughput screening (HTS) data from ToxCast and in vivo developmental toxicity data from ToxRefDB. Feature-class (in vitro assay-in vivo endpoints) associations from 2x2 contingency tables were used to filter HTS assays based on statistical correlation with distinct in vivo endpoints. Linear discriminant analysis with five-fold cross validation was used to build the models using 80% of the data for training and 20% for test. Species specific models of developmental toxicity revealed strong (Balanced Accuracy (BA) >0.7) and unique correlations between assay targets such as TGFβ and retinoic acid receptor signaling in rat, and inflammatory signals in the rabbit. Further analysis revealed 423 feature-class associations, with distinctly different patterns for rat (301 associations) and rabbit (122 associations) across a variety of assay technology platforms. Additionally, species specific endpoints were associated with one another through similar Gene Ontology (GO) biological processes. This work demonstrates the utility of ToxCast HTS assays for developing pathway level signatures correlating to developmental defects. [This abstract does not necessarily reflect US EPA policy.]

URLs/Downloads:

Probing the ToxCastTM Chemical Library for Predictive Signatures   (PDF,NA pp, 44 KB,  about PDF)

Record Details:

Record Type: DOCUMENT (PRESENTATION/POSTER)
Product Published Date: 06/28/2011
Record Last Revised: 01/30/2012
OMB Category: Other
Record ID: 235765

Organization:

U.S. ENVIRONMENTAL PROTECTION AGENCY

OFFICE OF RESEARCH AND DEVELOPMENT

NATIONAL CENTER FOR COMPUTATIONAL TOXICOLOGY

IMMEDIATE OFFICE