Joshua Harrill

ORCID: 0000-0003-4317-6391
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About
Contact & Profiles
Research Areas
  • Animal testing and alternatives
  • Computational Drug Discovery Methods
  • Cell Image Analysis Techniques
  • Molecular Biology Techniques and Applications
  • Effects and risks of endocrine disrupting chemicals
  • Metabolomics and Mass Spectrometry Studies
  • Toxic Organic Pollutants Impact
  • Pesticide Exposure and Toxicity
  • Neuroscience and Neural Engineering
  • Carcinogens and Genotoxicity Assessment
  • Environmental Toxicology and Ecotoxicology
  • Anesthesia and Neurotoxicity Research
  • Gene expression and cancer classification
  • Insect and Pesticide Research
  • bioluminescence and chemiluminescence research
  • Bioinformatics and Genomic Networks
  • 3D Printing in Biomedical Research
  • Neuroscience and Neuropharmacology Research
  • Pluripotent Stem Cells Research
  • Per- and polyfluoroalkyl substances research
  • Electrochemical Analysis and Applications
  • Cancer, Hypoxia, and Metabolism
  • Genetics, Bioinformatics, and Biomedical Research
  • Liver Disease Diagnosis and Treatment
  • Pesticide and Herbicide Environmental Studies

Environmental Protection Agency
2012-2025

Research Triangle Park Foundation
2010-2025

The Hamner Institutes for Health Sciences
2012-2024

Center for Environmental Health
2017

University of North Carolina at Chapel Hill
2005-2010

VA Office of Research and Development
2007

The U.S. Environmental Protection Agency (EPA) is faced with the challenge of efficiently and credibly evaluating chemical safety often limited or no available toxicity data. expanding number chemicals found in commerce environment, coupled time resource requirements for traditional testing exposure characterization, continue to underscore need new approaches. In 2005, EPA charted a course address this by embracing computational toxicology (CompTox) investing technologies capabilities push...

10.1093/toxsci/kfz058 article EN public-domain Toxicological Sciences 2019-03-04

Abstract New approach methodologies (NAMs) that efficiently provide information about chemical hazard without using whole animals are needed to accelerate the pace of risk assessments. Technological advancements in gene expression assays have made vitro high-throughput transcriptomics (HTTr) a feasible option for NAMs-based characterization environmental chemicals. In this study, we evaluated Templated Oligo with Sequencing Readout (TempO-Seq) assay HTTr concentration-response screening...

10.1093/toxsci/kfab009 article EN Toxicological Sciences 2021-01-28

ORIGINAL RESEARCH article Front. Neuroeng., 20 January 2011 https://doi.org/10.3389/fneng.2011.00001

10.3389/fneng.2011.00001 article EN Frontiers in Neuroengineering 2011-01-01

The growing number of chemicals in the current consumer and industrial markets presents a major challenge for regulatory programs faced with need to assess potential risks they pose human ecological health. increasing demand hazard risk assessment currently exceeds capacity produce toxicity data necessary decision making, applied is commonly generated using traditional approaches animal models that have limited context terms relevance. This scenario provides opportunity implement novel, more...

10.3389/ftox.2023.1194895 article EN cc-by Frontiers in Toxicology 2023-05-23

High-throughput transcriptomics (HTTr) uses gene expression profiling to characterize the biological activity of chemicals in vitro cell-based test systems. As an extension a previous study testing 44 chemicals, HTTr was used screen additional 1,751 unique from EPA's ToxCast collection MCF7 cells using 8 concentrations and exposure duration 6 h. We hypothesized that concentration-response modeling signature scores could be identify putative molecular targets cluster with similar bioactivity....

10.1093/toxsci/kfae108 article EN Toxicological Sciences 2024-08-23

Abstract 6PPD-quinone (N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine quinone), a transformation product of the antiozonant 6PPD (N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine) is likely causative agent coho salmon (Oncorhynchus kisutch) pre-spawn mortality. Stormwater runoff transports into freshwater streams, rapidly leading to neurobehavioral, respiratory distress, and rapid mortality in laboratory exposed salmon, but causing no many laboratory-tested species. Given this...

10.1093/toxsci/kfaf008 article EN Toxicological Sciences 2025-01-22

Cell Painting is a high-throughput phenotypic profiling assay that uses fluorescent cytochemistry to visualize variety of organelles and high-content imaging derive large number morphological features at the single-cell level. Most studies have used U-2 OS cell line for chemical or functional genomics screening. The can be with many other human-derived types, given based on use fluoroprobes label are present in most (if not all) human cells. Questions remain, however, regarding optimization...

10.1177/2472555220928004 article EN cc-by-nc-nd SLAS DISCOVERY 2020-06-17

In vivo developmental neurotoxicity (DNT) testing is resource intensive and lacks information on cellular processes affected by chemicals. To address this, DNT new approach methodologies (NAMs) are being evaluated, including: the microelectrode array neuronal network formation assay; high-content imaging to evaluate proliferation, apoptosis, neurite outgrowth, synaptogenesis. This work addresses 3 hypotheses: (1) a broad screening battery provides sensitive marker of bioactivity; (2)...

10.1093/toxsci/kfac018 article EN Toxicological Sciences 2022-02-12

Synaptogenesis is a critical neurodevelopmental process whereby pre- and postsynaptic neurons form apposed sites of contact specialized for chemical neurotransmission. Many disorders are thought to reflect altered patterns synaptic connectivity, including imbalances between excitatory inhibitory synapses. Developing rapid throughput approaches assessing synaptogenesis will facilitate toxicologic drug screening studies disorders. The current study describes the use high-content imaging...

10.1186/s13041-015-0099-9 article EN cc-by Molecular Brain 2015-02-15
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