Works (13)

Updated: July 5th, 2023 15:44

2023 journal article

The Environmental Conditions, Treatments, and Exposures Ontology (ECTO): connecting toxicology and exposure to human health and beyond

JOURNAL OF BIOMEDICAL SEMANTICS, 14(1).

author keywords: Biomedical ontology; Environmental exposures; Environmental health
MeSH headings : Humans; Biological Ontologies; Databases, Factual
TL;DR: This manuscript presents the Environmental Conditions, Treatments, and Exposures Ontology (ECTO), a species-agnostic ontology focused on exposure events that occur as a result of natural and experimental processes, such as diet, work, or research activities, intended for use in harmonizing environmental health data resources to support cross-study integration and inference for mechanism discovery. (via Semantic Scholar)
Source: Web Of Science
Added: March 27, 2023

2021 journal article

CTD anatomy: Analyzing chemical-induced phenotypes and exposures from an anatomical perspective, with implications for environmental health studies

CURRENT RESEARCH IN TOXICOLOGY, 2, 128–139.

By: A. Davis n, T. Wiegers n, J. Wiegers n, C. Grondin n, R. Johnson n, D. Sciaky n, C. Mattingly n

author keywords: Anatomy; Chemical; Phenotype; Disease; Environmental health; Database
Sources: Web Of Science, NC State University Libraries
Added: January 3, 2022

2021 journal article

Predicting molecular mechanisms, pathways, and health outcomes induced by Juul e-cigarette aerosol chemicals using the Comparative Toxicogenomics Database

CURRENT RESEARCH IN TOXICOLOGY, 2, 272–281.

By: C. Grondin n, A. Davis n, J. Wiegers n, T. Wiegers n, D. Sciaky n, R. Johnson n, C. Mattingly n

author keywords: E-cigarettes; Vaping; Juul; Respiratory disease; Database; Environmental exposure
Sources: Web Of Science, NC State University Libraries
Added: January 3, 2022

2020 journal article

Community Approaches for Integrating Environmental Exposures into Human Models of Disease

ENVIRONMENTAL HEALTH PERSPECTIVES, 128(12).

MeSH headings : Environmental Exposure; Environmental Pollutants; Genome, Human; Genomics; Humans
TL;DR: A preliminary semantic data model is presented that will facilitate the inclusion of exposure data in computational analysis of human disease and use cases and competency questions for further community-driven model development and refinement are presented. (via Semantic Scholar)
Source: Web Of Science
Added: March 1, 2021

2020 journal article

Comparative Toxicogenomics Database (CTD): update 2021

NUCLEIC ACIDS RESEARCH, 49(D1), D1138–D1143.

By: A. Davis n, C. Grondin n, R. Johnson n, D. Sciaky n, J. Wiegers n, T. Wiegers n, C. Mattingly n

MeSH headings : Databases, Chemical; Databases, Factual; Databases, Genetic; Gene-Environment Interaction; Genome, Human / drug effects; Genomics / methods; Genotype; Humans; Internet; Knowledge Bases; Organ Specificity; Phenotype; Prescription Drugs / chemistry; Prescription Drugs / pharmacology; Software; Toxicogenetics / methods; Xenobiotics / chemistry; Xenobiotics / toxicity
TL;DR: This biennial update of the public Comparative Toxicogenomics Database (CTD) reports a 20% increase in CTD curated content and provides 45 million toxicogenomic relationships and introduces new CTD Anatomy pages that allow users to uniquely explore and analyze chemical–phenotype interactions from an anatomical perspective. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: February 8, 2021

2020 journal article

Leveraging the Comparative Toxicogenomics Database to Fill in Knowledge Gaps for Environmental Health: A Test Case for Air Pollution-induced Cardiovascular Disease

TOXICOLOGICAL SCIENCES, 177(2), 392–404.

author keywords: environmental health; chemical-induced pathways; air pollution; cardiovascular disease; database
MeSH headings : Air Pollutants / toxicity; Air Pollution; Cardiovascular Diseases / chemically induced; Environmental Exposure; Environmental Health; Humans; Toxicogenetics
TL;DR: This paper systematically compute the genes, molecular mechanisms, and biological events for the environmental health association linking air pollution toxicants with two cardiovascular diseases as a test case and identifies 19 genes and 96 phenotypes shared between these two air pollutant-induced outcomes. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: December 14, 2020

2018 journal article

Accessing an Expanded Exposure Science Module at the Comparative Toxicogenomics Database

ENVIRONMENTAL HEALTH PERSPECTIVES, 126(1).

By: C. Grondin n, A. Davis n, T. Wiegers n, J. Wiegers n & C. Mattingly n

MeSH headings : Databases, Factual; Environmental Exposure / adverse effects; Gene Ontology; Humans; Phenotype; Toxicogenetics
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2018 journal article

The Comparative Toxicogenomics Database: update 2019

NUCLEIC ACIDS RESEARCH, 47(D1), D948–D954.

By: A. Davis n, C. Grondin n, R. Johnson n, D. Sciaky n, R. McMorran*, J. Wiegers n, T. Wiegers n, C. Mattingly n

MeSH headings : Databases, Pharmaceutical; Disease / genetics; Environmental Exposure; Humans; Phenotype; Toxicogenetics; Vocabulary, Controlled
TL;DR: This biennial update presents a new chemical–phenotype module that codes chemical-induced effects on phenotypes, curated using controlled vocabularies for chemicals, phenotype, taxa, and anatomical descriptors, and describes new querying and display features for the enhanced chemical–exposure science module, providing greater scope of content and utility. (via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: April 9, 2019

2016 journal article

Advancing Exposure Science through Chemical Data Curation and Integration in the Comparative Toxicogenomics Database

Environmental Health Perspectives, 124(10), 1592–1599.

By: C. Grondin n, A. Davis n, T. Wiegers n, B. King*, J. Wiegers n, D. Reif n, J. Hoppin n, C. Mattingly n

Contributors: C. Grondin n, A. Davis n, T. Wiegers n, B. King*, J. Wiegers n, D. Reif n, J. Hoppin n, C. Mattingly n

TL;DR: Curation and integration of exposure data within the CTD provides researchers with new opportunities to correlate exposures with human health outcomes, to identify underlying potential molecular mechanisms, and to improve understanding about the exposome. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: August 6, 2018

2016 journal article

Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database

PLOS ONE, 11(5).

By: A. Davis n, T. Wiegers n, B. King*, J. Wiegers n, C. Grondin n, D. Sciaky n, R. Johnson n, C. Mattingly n

MeSH headings : Computational Biology; Databases, Genetic; Disease / genetics; Drug Repositioning; Gene Ontology; Humans; Toxicogenetics
TL;DR: This inference set should aid researchers, bioinformaticists, and pharmaceutical drug makers in finding commonalities in disease mechanisms, which in turn could help identify new therapeutics, new indications for existing pharmaceuticals, potential disease comorbidities, and alerts for side effects. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 journal article

The Comparative Toxicogenomics Database: update 2017

NUCLEIC ACIDS RESEARCH, 45(D1), D972–D978.

By: A. Davis n, C. Grondin n, R. Johnson n, D. Sciaky n, B. King*, R. McMorran*, J. Wiegers n, T. Wiegers n, C. Mattingly n

MeSH headings : Computational Biology / methods; Databases, Chemical; Databases, Genetic; Gene Ontology; Humans; Search Engine; Signal Transduction; Toxicogenetics / methods; User-Computer Interface; Web Browser
TL;DR: This update describes the new exposure module (that harmonizes exposure science information with core toxicogenomic data) and introduces a novel dataset of GO-disease inferences (that identify common molecular underpinnings for seemingly unrelated pathologies). (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 journal article

The Comparative Toxicogenomics Database's 10th year anniversary: update 2015

NUCLEIC ACIDS RESEARCH, 43(D1), D914–D920.

By: A. Davis n, C. Grondin n, K. Lennon-Hopkins n, C. Saraceni-Richards n, D. Sciaky n, B. King*, T. Wiegers n, C. Mattingly n

MeSH headings : Databases, Chemical / history; Disease / etiology; Disease / genetics; Genomics / history; History, 21st Century; Internet; Phenotype; Toxicogenetics / history
TL;DR: The prototype database originally described in its first report has transformed into a sophisticated resource used actively today to help scientists develop and test hypotheses about the etiologies of environmentally influenced diseases. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

Text Mining Effectively Scores and Ranks the Literature for Improving Chemical-Gene-Disease Curation at the Comparative Toxicogenomics Database

PLOS ONE, 8(4).

By: A. Davis n, T. Wiegers n, R. Johnson*, J. Lay*, K. Lennon-Hopkins*, C. Saraceni-Richards*, D. Sciaky*, C. Murphy n, C. Mattingly n

MeSH headings : Algorithms; Data Mining / methods; Databases, Factual; Disease / genetics; Documentation; Humans; Metals, Heavy / toxicity; Molecular Sequence Annotation; Publications; Reproducibility of Results; Toxicogenetics
TL;DR: It is demonstrated how fully incorporating text mining-based DRS scoring into the curation pipeline enhances manual curation by prioritizing more relevant articles, thereby increasing data content, productivity, and efficiency. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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