Matthew T Martin

Summary

Affiliation: U.S. Environmental Protection Agency
Country: USA

Publications

  1. pmc Profiling chemicals based on chronic toxicity results from the U.S. EPA ToxRef Database
    Matthew T Martin
    National Center for Computational Toxicology, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Environ Health Perspect 117:392-9. 2009
  2. pmc Aggregating Data for Computational Toxicology Applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) System
    Richard S Judson
    U S EPA, National Center for Computational Toxicology, Research Triangle Park, NC 27709, USA E Mails M T M S G D M R P K D S J V A F S M E A C H A M R
    Int J Mol Sci 13:1805-31. 2012
  3. doi request reprint Economic benefits of using adaptive predictive models of reproductive toxicity in the context of a tiered testing program
    Matthew T Martin
    National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Syst Biol Reprod Med 58:3-9. 2012
  4. doi request reprint Predictive model of rat reproductive toxicity from ToxCast high throughput screening
    Matthew T Martin
    National Center for Computational Toxicology, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, NC 27711, USA
    Biol Reprod 85:327-39. 2011
  5. doi request reprint Profiling the reproductive toxicity of chemicals from multigeneration studies in the toxicity reference database
    Matthew T Martin
    National Center for Computational Toxicology, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Toxicol Sci 110:181-90. 2009
  6. doi request reprint Impact of environmental chemicals on key transcription regulators and correlation to toxicity end points within EPA's ToxCast program
    Matthew T Martin
    National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, North Carolina, USA
    Chem Res Toxicol 23:578-90. 2010
  7. doi request reprint Predictive models of prenatal developmental toxicity from ToxCast high-throughput screening data
    Nisha S Sipes
    National Center for Computational Toxicology, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Toxicol Sci 124:109-27. 2011
  8. doi request reprint In vitro perturbations of targets in cancer hallmark processes predict rodent chemical carcinogenesis
    Nicole C Kleinstreuer
    National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Toxicol Sci 131:40-55. 2013
  9. doi request reprint Estimating toxicity-related biological pathway altering doses for high-throughput chemical risk assessment
    Richard S Judson
    National Center for Computational Toxicology, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, NC 27711, United States
    Chem Res Toxicol 24:451-62. 2011
  10. doi request reprint Xenobiotic-metabolizing enzyme and transporter gene expression in primary cultures of human hepatocytes modulated by ToxCast chemicals
    Daniel M Rotroff
    US Environmental Protection Agency, Office of Research and Development, National Center for Computational Toxicology, Research Triangle Park, North Carolina, USA
    J Toxicol Environ Health B Crit Rev 13:329-46. 2010

Collaborators

Detail Information

Publications21

  1. pmc Profiling chemicals based on chronic toxicity results from the U.S. EPA ToxRef Database
    Matthew T Martin
    National Center for Computational Toxicology, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Environ Health Perspect 117:392-9. 2009
    ..These data are now accessible and mineable within ToxRefDB and are serving as a primary source of validation for U.S. EPA's ToxCast research program in predictive toxicology...
  2. pmc Aggregating Data for Computational Toxicology Applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) System
    Richard S Judson
    U S EPA, National Center for Computational Toxicology, Research Triangle Park, NC 27709, USA E Mails M T M S G D M R P K D S J V A F S M E A C H A M R
    Int J Mol Sci 13:1805-31. 2012
    ..The entire system is built using open source tools and is freely available to download. This review describes the organization of the data repository and provides selected examples of use cases...
  3. doi request reprint Economic benefits of using adaptive predictive models of reproductive toxicity in the context of a tiered testing program
    Matthew T Martin
    National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Syst Biol Reprod Med 58:3-9. 2012
    ....
  4. doi request reprint Predictive model of rat reproductive toxicity from ToxCast high throughput screening
    Matthew T Martin
    National Center for Computational Toxicology, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, NC 27711, USA
    Biol Reprod 85:327-39. 2011
    ....
  5. doi request reprint Profiling the reproductive toxicity of chemicals from multigeneration studies in the toxicity reference database
    Matthew T Martin
    National Center for Computational Toxicology, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Toxicol Sci 110:181-90. 2009
    ..Capturing this reproductive toxicity data in ToxRefDB supports ongoing retrospective analyses, test guideline revisions, and computational toxicology research...
  6. doi request reprint Impact of environmental chemicals on key transcription regulators and correlation to toxicity end points within EPA's ToxCast program
    Matthew T Martin
    National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, North Carolina, USA
    Chem Res Toxicol 23:578-90. 2010
    ....
  7. doi request reprint Predictive models of prenatal developmental toxicity from ToxCast high-throughput screening data
    Nisha S Sipes
    National Center for Computational Toxicology, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Toxicol Sci 124:109-27. 2011
    ..This work indicates the utility of HTS assays for developing pathway-level models predictive of developmental toxicity...
  8. doi request reprint In vitro perturbations of targets in cancer hallmark processes predict rodent chemical carcinogenesis
    Nicole C Kleinstreuer
    National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Toxicol Sci 131:40-55. 2013
    ..This model represents a chemical carcinogenicity prioritization tool supporting targeted testing and functional validation of cancer pathways...
  9. doi request reprint Estimating toxicity-related biological pathway altering doses for high-throughput chemical risk assessment
    Richard S Judson
    National Center for Computational Toxicology, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, NC 27711, United States
    Chem Res Toxicol 24:451-62. 2011
    ....
  10. doi request reprint Xenobiotic-metabolizing enzyme and transporter gene expression in primary cultures of human hepatocytes modulated by ToxCast chemicals
    Daniel M Rotroff
    US Environmental Protection Agency, Office of Research and Development, National Center for Computational Toxicology, Research Triangle Park, North Carolina, USA
    J Toxicol Environ Health B Crit Rev 13:329-46. 2010
    ..Significant relative risk associations with rodent in vivo chronic toxicity effects are reported for the five major receptor pathways. These gene expression data are being incorporated into the larger ToxCast predictive modeling effort...
  11. pmc In vitro screening of environmental chemicals for targeted testing prioritization: the ToxCast project
    Richard S Judson
    National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Environ Health Perspect 118:485-92. 2010
    ..The U.S. Environmental Protection Agency's ToxCast program aims to address these concerns by screening and prioritizing chemicals for potential human toxicity using in vitro assays and in silico approaches...
  12. doi request reprint Profiling the activity of environmental chemicals in prenatal developmental toxicity studies using the U.S. EPA's ToxRefDB
    Thomas B Knudsen
    National Center for Computational Toxicology, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, NC 27711, United States
    Reprod Toxicol 28:209-19. 2009
    ..This novel data model provides an important public resource for cross-scale modeling and predictive understanding of developmental processes and toxicities...
  13. pmc Using in vitro high throughput screening assays to identify potential endocrine-disrupting chemicals
    Daniel M Rotroff
    Department of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina, USA
    Environ Health Perspect 121:7-14. 2013
    ..A need for increased throughput and efficiency motivated the development of methods using in vitro high throughput screening (HTS) assays to prioritize chemicals for EDSP Tier 1 screening (T1S)...
  14. pmc Profiling 976 ToxCast chemicals across 331 enzymatic and receptor signaling assays
    Nisha S Sipes
    National Center for Computational Toxicology, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Chem Res Toxicol 26:878-95. 2013
    ..Results from this large inventory of chemical-biological interactions can inform read-across methods as well as link potential targets to molecular initiating events in adverse outcome pathways for diverse toxicities...
  15. ncbi request reprint The ToxCast program for prioritizing toxicity testing of environmental chemicals
    David J Dix
    National Center for Computational Toxicology D343 03, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Toxicol Sci 95:5-12. 2007
    ..The resulting multidimensional data set provides an informatics challenge requiring appropriate computational methods for integrating various chemical, biological, and toxicological data into profiles and models predicting toxicity...
  16. doi request reprint Activity profiles of 309 ToxCastâ„¢ chemicals evaluated across 292 biochemical targets
    Thomas B Knudsen
    National Center for Computational Toxicology B205 01, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, NC 27711, USA
    Toxicology 282:1-15. 2011
    ..The primary dataset, summary data and details on quality control checks are available for download at http://www.epa.gov/ncct/toxcast/...
  17. pmc Endocrine profiling and prioritization of environmental chemicals using ToxCast data
    David M Reif
    National Center for Computational Toxicology, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Environ Health Perspect 118:1714-20. 2010
    ..S. EPA's Endocrine Disruptor Screening Program (EDSP) has been charged with screening pesticide chemicals and environmental contaminants for their potential to affect the endocrine systems of humans and wildlife...
  18. pmc Using nuclear receptor activity to stratify hepatocarcinogens
    Imran Shah
    National Center for Computational Toxicology, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, North Carolina, United States of America
    PLoS ONE 6:e14584. 2011
    ..Here we report on a systematic analysis of new in vitro human NR activity data on 309 environmental chemicals in relationship to their liver cancer-related chronic outcomes in rodents...
  19. doi request reprint Incorporating human dosimetry and exposure into high-throughput in vitro toxicity screening
    Daniel M Rotroff
    National Center for Computational Toxicology, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Toxicol Sci 117:348-58. 2010
    ..Importantly, these tools are necessary to move beyond hazard rankings to estimates of possible in vivo responses based on in vitro screens...
  20. pmc Analysis of eight oil spill dispersants using rapid, in vitro tests for endocrine and other biological activity
    Richard S Judson
    National Center for Computational Toxicology, Office of Research and Development, U S Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
    Environ Sci Technol 44:5979-85. 2010
    ..Two dispersants, JD 2000 and SAF-RON GOLD, were significantly less cytotoxic than the others with LC50 values approaching or exceeding 1000 ppm...
  21. ncbi request reprint Toxicogenomic study of triazole fungicides and perfluoroalkyl acids in rat livers predicts toxicity and categorizes chemicals based on mechanisms of toxicity
    Matthew T Martin
    National Center for Computational Toxicology, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA
    Toxicol Sci 97:595-613. 2007
    ..The concordance of in vivo observations and gene expression findings demonstrated the ability of genomics to accurately categorize chemicals, identify toxic mechanisms of action, and predict subsequent pathological responses...