Robin J. Johnson

Works (11)

Updated: April 6th, 2024 05:04

2023 journal article

CTD tetramers: a new online tool that computationally links curated chemicals, genes, phenotypes, and diseases to inform molecular mechanisms for environmental health

TOXICOLOGICAL SCIENCES, 195(2), 155–168.

By: A. Davis n, T. Wiegers n, J. Wiegers n, B. Wyatt n, R. Johnson n, D. Sciaky n, F. Barkalow n, M. Strong n, A. Planchart n , C. Mattingly n 

author keywords: database tool; chemical-disease pathway; molecular mechanisms; environmental health; knowledge gaps; adverse outcome pathway
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Sources: Web Of Science, NC State University Libraries
Added: April 1, 2024

2022 article

Comparative Toxicogenomics Database (CTD): update 2023

Davis, A. P., Wiegers, T. C., Johnson, R. J., Sciaky, D., Wiegers, J., & Mattingly, C. J. (2022, September 28). NUCLEIC ACIDS RESEARCH, Vol. 9.

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

MeSH headings : Humans; Toxicogenetics; Databases, Factual; Phenotype
TL;DR: A 20% increase in overall CTD content is reported and CTD Tetramers, a novel tool that computationally generates four-unit information blocks connecting a chemical, gene, phenotype, and disease to construct potential molecular mechanistic pathways are presented. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: October 11, 2022

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
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Sources: Web Of Science, NC State University Libraries
Added: January 3, 2022

2021 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)
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Sources: Web Of Science, NC State University Libraries
Added: February 8, 2021

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
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3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: January 3, 2022

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.

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

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)
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Sources: Web Of Science, NC State University Libraries
Added: December 14, 2020

2019 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)
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9. Industry, Innovation and Infrastructure (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: April 9, 2019

2018 journal article

Chemical-Induced Phenotypes at CTD Help Inform the Predisease State and Construct Adverse Outcome Pathways

TOXICOLOGICAL SCIENCES, 165(1), 145–156.

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

author keywords: phenotype; database; curation; chemical; disease; adverse outcome pathway
MeSH headings : Adverse Outcome Pathways; Animals; Databases, Factual; Drug-Related Side Effects and Adverse Reactions / genetics; Gene Ontology; Gene-Environment Interaction; Humans; Phenotype; Toxicogenetics / methods
TL;DR: This work introduces a new chemical-phenotype module that describes how chemicals can affect molecular, cellular, and physiological phenotypes, and presents 3 diverse case studies discerning the effect of vehicle emissions on altered leukocyte migration, the role of cadmium in influencing phenotypes preceding Alzheimer disease, and the connection of arsenic-induced glucose metabolic phenotypes with diabetes. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: October 16, 2018

2017 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)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 journal article

BioCreative V CDR task corpus: a resource for chemical disease relation extraction

DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION.

By: J. Li *, Y. Sun *, R. Johnson n, D. Sciaky n, C. Wei *, R. Leaman *, A. Davis n, C. Mattingly n  ...

MeSH headings : Computational Biology / methods; Data Mining / methods; Databases, Factual; Disease; Humans; Toxicogenetics / methods
TL;DR: The BC5CDR corpus was successfully used for the BioCreative V challenge tasks and should serve as a valuable resource for the text-mining research community. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
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)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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