Scott S. Auerbach

ORCID: 0000-0002-6294-3069
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About
Contact & Profiles
Research Areas
  • Computational Drug Discovery Methods
  • Molecular Biology Techniques and Applications
  • Gene expression and cancer classification
  • Carcinogens and Genotoxicity Assessment
  • Metabolomics and Mass Spectrometry Studies
  • Effects and risks of endocrine disrupting chemicals
  • Animal testing and alternatives
  • Bioinformatics and Genomic Networks
  • Pharmacogenetics and Drug Metabolism
  • Estrogen and related hormone effects
  • Receptor Mechanisms and Signaling
  • Gene Regulatory Network Analysis
  • Epigenetics and DNA Methylation
  • bioluminescence and chemiluminescence research
  • Arsenic contamination and mitigation
  • Air Quality and Health Impacts
  • Folate and B Vitamins Research
  • Liver Disease Diagnosis and Treatment
  • Per- and polyfluoroalkyl substances research
  • Cancer Genomics and Diagnostics
  • Advanced Chemical Sensor Technologies
  • Cell Image Analysis Techniques
  • Mycotoxins in Agriculture and Food
  • Environmental Toxicology and Ecotoxicology
  • Immunotoxicology and immune responses

National Institute of Environmental Health Sciences
2016-2025

North Carolina State University
2025

Triangle
2014-2024

Research Triangle Park Foundation
2012-2024

Bilkent University
2024

National Institutes of Health
2011-2021

Screen
2016

Alstom (United States)
2010

Pennsylvania State University
2005-2007

University of Washington
2000-2003

10.1038/nbt.2957 article EN Nature Biotechnology 2014-08-21

Based on existing data and previous work, a series of studies is proposed as basis toward pragmatic early step in transforming toxicity testing. These were assembled into data-driven framework that invokes successive tiers testing with margin exposure (MOE) the primary metric. The first tier integrates from high-throughput vitro assays, vitro-to-in vivo extrapolation (IVIVE) pharmacokinetic modeling, modeling. assays are used to separate chemicals based their relative selectivity interacting...

10.1093/toxsci/kft178 article EN cc-by-nc Toxicological Sciences 2013-08-19

The present publication surveys several applications of in silico (i.e., computational) toxicology approaches across different industries and institutions. It highlights the need to develop standardized protocols when conducting toxicity-related predictions. This contribution articulates information needed for support predictions major toxicological endpoints concern (e.g., genetic toxicity, carcinogenicity, acute reproductive developmental toxicity) regulatory bodies. Such novel (IST)...

10.1016/j.yrtph.2018.04.014 article EN cc-by Regulatory Toxicology and Pharmacology 2018-04-17

A new version (version 2) of the genomic dose-response analysis software, BMDExpress, has been created. The software addresses increasing use transcriptomic data in toxicology, drug design, risk assessment and translational research. In this version, we have implemented additional statistical filtering options (e.g. Williams' trend test), curve fitting models, Linux Macintosh compatibility support for platforms with up-to-date gene annotations. Furthermore, extensive visualizations,...

10.1093/bioinformatics/bty878 article EN Bioinformatics 2018-10-15

Changes in gene expression can help reveal the mechanisms of disease processes and mode action for toxicities adverse effects on cellular responses induced by exposures to chemicals, drugs environment agents. The U.S. Tox21 Federal collaboration, which currently quantifies biological nearly 10,000 chemicals via quantitative high-throughput screening(qHTS) vitro model systems, is now making an effort incorporate profiling into existing battery assays. Whole transcriptome analyses performed...

10.1371/journal.pone.0191105 article EN public-domain PLoS ONE 2018-02-20

In vitro–in vivo extrapolation (IVIVE) analyses translating high-throughput screening (HTS) data to human relevance have been limited. This study represents the first report applying IVIVE approaches and exposure comparisons using entirety of Tox21 federal collaboration chemical data, incorporating assay response efficacy quality concentration–response fits, providing quantitative anchoring address likelihood in interactions with compounds. was assessed a maximum blood concentration vitro...

10.1021/acs.est.7b00650 article EN Environmental Science & Technology 2017-08-15

Nephrotoxicity due to drugs and environmental chemicals accounts for significant patient mortality morbidity, but there is no high throughput in vitro method predictive nephrotoxicity assessment. We show that primary human proximal tubular epithelial cells (HPTECs) possess characteristics of differentiated rendering them desirable use such systems. To identify a reliable biomarker nephrotoxicity, we conducted multiplexed gene expression profiling HPTECs after exposure six different...

10.1681/asn.2015010060 article EN Journal of the American Society of Nephrology 2015-08-11

Abstract The main protease (M pro ) of the SARS‐CoV‐2 has been proposed as one major drug targets for COVID‐19. We have identified experimental data on inhibitory activity compounds tested against closely related (96 % sequence identity, 100 active site conservation) M SARS‐CoV. developed QSAR models these inhibitors and employed virtual screening all drugs in DrugBank database. Similarity searching molecular docking were explored parallel, but failed to correctly discriminate between...

10.1002/minf.202000113 article EN Molecular Informatics 2020-07-29

Use of molecular data in human and ecological health risk assessments industrial chemicals agrochemicals has been anticipated by the scientific community for many years; however, these are rarely used assessment. Here, a logic framework is proposed to explore feasibility future development transcriptomic methods refine replace current apical endpoint-based regulatory toxicity testing paradigm. Four foundational principles outlined discussed that would need be accepted stakeholders prior this...

10.1093/toxsci/kfac097 article EN cc-by-nc Toxicological Sciences 2022-09-27

Abstract Motivation Estimating a toxic reference point using tools like the benchmark dose (BMD) is critical step in setting policy to regulate pollution and ensure safe environments. Toxicity can be measured for different endpoints, including changes gene expression histopathology various tissues, typically explored one or tissue at time univariate that ignores correlation. In this work, we develop multivariate estimation procedure estimate BMD specified sets. Our approach extends...

10.1093/bioinformatics/btaf008 article EN cc-by Bioinformatics 2025-01-09

The nuclear receptor family member constitutive activated (CAR) is by structurally diverse drugs and environmentally-relevant chemicals leading to transcriptional regulation of genes involved in xenobiotic metabolism transport. Chronic activation CAR increases liver cancer incidence rodents, whereas suppression can lead steatosis insulin insensitivity. Here, analytical methods were developed screen for chemical treatments a gene expression compendium that alteration activity. A biomarker...

10.1621/nrs.13002 article EN cc-by-nc Nuclear Receptor Signaling 2015-01-01

In silico toxicology (IST) approaches to rapidly assess chemical hazard, and usage of such methods is increasing in all applications but especially for regulatory submissions, as assessing chemicals under REACH well the ICH M7 guideline drug impurities. There are a number obstacles performing an IST assessment, including uncertainty how assessment associated expert review should be performed or what fit purpose, lack confidence that results will accepted by colleagues, collaborators...

10.1016/j.yrtph.2019.104403 article EN cc-by Regulatory Toxicology and Pharmacology 2019-06-10

Prediction of human response to chemical exposures is a major challenge in both pharmaceutical and toxicological research. Transcriptomics has been powerful tool explore chemical-biological interactions, however, limited throughput, high-costs, complexity transcriptomic interpretations have yielded numerous studies lacking sufficient experimental context for predictive application. To address these challenges, we utilized novel high-throughput transcriptomics (HTT) platform, TempO-Seq, apply...

10.1093/toxsci/kfz065 article EN Toxicological Sciences 2019-03-06

Abstract A 5-day in vivo rat model was evaluated as an approach to estimate chemical exposures that may pose minimal risk by comparing benchmark dose (BMD) values for transcriptional changes the liver and kidney BMD toxicological endpoints from traditional toxicity studies. Eighteen chemicals, most having been tested National Toxicology Program 2-year bioassays, were evaluated. Some of these chemicals are potent hepatotoxicants (eg, DE71, PFOA, furan) rodents, some exhibit but have hepatic...

10.1093/toxsci/kfaa081 article EN Toxicological Sciences 2020-05-29

The nuclear receptor CAR (NR1I3) regulates transcription of genes encoding xenobiotic‐ and steroid‐metabolizing enzymes. Regulatory processes that are mediated by modulated a structurally diverse array chemicals including common pharmaceutical environmental agents. Here we describe four in‐frame splice variants the human gene. variant mRNA transcripts were expressed in all livers evaluated. Molecular modeling proteins predicts structural effects localized within receptor's ligand‐binding...

10.1093/nar/gkg419 article EN Nucleic Acids Research 2003-06-10
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