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Updated: Mar 11, 2026

Human Pluripotent Stem Cell Based Developmental Toxicity Assays for Chemical Safety Screening and Systems Biology Data Generation
Published on: June 17, 2015
ToxReporter: viewing the genome through the eyes of a toxicologist
1Department of Investigative Toxicology, Pfizer Inc, Eastern Point Rd, MS 8274-1246, Groton, CT 06340, USA Mark.M.Gosink@Pfizer.com.
Abstract:
One of the many roles of a toxicologist is to determine if an observed adverse event (AE) is related to a previously unrecognized function of a given gene/protein. Towards that end, he or she will search a variety of public and propriety databases for information linking that protein to the observed AE. However, these databases tend to present all available information about a protein, which can be overwhelming, limiting the ability to find information about the specific toxicity being investigated. ToxReporter compiles information from a broad selection of resources and limits display of the information to user-selected areas of interest. ToxReporter is a PERL-based web-application which utilizes a MySQL database to streamline this process by categorizing public and proprietary domain-derived information into predefined safety categories according to a customizable lexicon. Users can view gene information that is 'red-flagged' according to the safety issue under investigation. ToxReporter also uses a scoring system based on relative counts of the red-flags to rank all genes for the amount of information pertaining to each safety issue and to display their scored ranking as an easily interpretable 'Tox-At-A-Glance' chart. Although ToxReporter was originally developed to display safety information, its flexible design could easily be adapted to display disease information as well.Database URL: ToxReporter is freely available at https://github.com/mgosink/ToxReporter.
Insights
ToxReporter streamlines toxicological research by compiling gene and protein safety data from diverse sources. This tool helps toxicologists efficiently identify potential adverse event links by filtering and ranking information based on user-defined safety categories.
Area of Science:
- Toxicology
- Bioinformatics
- Computational Biology
Background:
- Toxicologists investigate adverse events (AEs) by searching extensive databases for gene/protein links.
- Current databases can be overwhelming, hindering the identification of specific toxicity information.
- Efficiently linking AEs to specific gene functions is crucial for toxicological assessment.
Purpose of the Study:
- To develop ToxReporter, a web-application designed to streamline the process of identifying gene/protein-related adverse events.
- To provide toxicologists with a tool that filters and categorizes safety information based on user-defined criteria.
- To enhance the efficiency of toxicological research by presenting relevant data in an accessible format.
Main Methods:
- ToxReporter is a PERL-based web application utilizing a MySQL database.
- It categorizes public and proprietary data into predefined safety categories using a customizable lexicon.
- A scoring system ranks genes based on the frequency of 'red-flagged' information relevant to specific safety issues.
Main Results:
- ToxReporter compiles and filters information from multiple resources, focusing on user-selected areas of interest.
- It 'red-flags' gene information pertinent to the investigated safety issue.
- A 'Tox-At-A-Glance' chart provides an easily interpretable ranking of genes based on safety information.
Conclusions:
- ToxReporter effectively consolidates and presents complex safety data, aiding toxicologists in AE investigations.
- The tool's flexible design allows for adaptation to other data types, such as disease information.
- ToxReporter offers a valuable solution for managing and interpreting large-scale biological safety data.
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