Detalhe da pesquisa
1.
Metabolomics Simultaneously Derives Benchmark Dose Estimates and Discovers Metabolic Biotransformations in a Rat Bioassay.
Chem Res Toxicol
; 37(6): 923-934, 2024 Jun 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-38842447
2.
Toxicogenomics Approaches to Address Toxicity and Carcinogenicity in the Liver.
Toxicol Pathol
; 51(7-8): 470-481, 2023 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-38288963
3.
Applying genomics in regulatory toxicology: a report of the ECETOC workshop on omics threshold on non-adversity.
Arch Toxicol
; 97(8): 2291-2302, 2023 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-37296313
4.
Tox21BodyMap: a webtool to map chemical effects on the human body.
Nucleic Acids Res
; 48(W1): W472-W476, 2020 07 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-32491175
5.
Inferred inactivation of the Cftr gene in the duodena of mice exposed to hexavalent chromium (Cr(VI)) in drinking water supports its tumor-suppressor status and implies its potential role in Cr(VI)-induced carcinogenesis of the small intestines.
Toxicol Appl Pharmacol
; 433: 115773, 2021 12 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-34688701
6.
Saagar-A New, Extensible Set of Molecular Substructures for QSAR/QSPR and Read-Across Predictions.
Chem Res Toxicol
; 34(2): 634-640, 2021 02 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-33356152
7.
Harnessing In Silico, In Vitro, and In Vivo Data to Understand the Toxicity Landscape of Polycyclic Aromatic Compounds (PACs).
Chem Res Toxicol
; 34(2): 268-285, 2021 02 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-33063992
8.
Progress towards an OECD reporting framework for transcriptomics and metabolomics in regulatory toxicology.
Regul Toxicol Pharmacol
; 125: 105020, 2021 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-34333066
9.
Curated Data In - Trustworthy In Silico Models Out: The Impact of Data Quality on the Reliability of Artificial Intelligence Models as Alternatives to Animal Testing.
Altern Lab Anim
; 49(3): 73-82, 2021 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-34233495
10.
BMDExpress 2: enhanced transcriptomic dose-response analysis workflow.
Bioinformatics
; 35(10): 1780-1782, 2019 05 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-30329029
11.
KRAS-retroviral fusion transcripts and gene amplification in arsenic-transformed, human prostate CAsE-PE cancer cells.
Toxicol Appl Pharmacol
; 397: 115017, 2020 Apr 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-32344290
12.
Identifying Compounds with Genotoxicity Potential Using Tox21 High-Throughput Screening Assays.
Chem Res Toxicol
; 32(7): 1384-1401, 2019 07 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-31243984
13.
Exome Sequencing of Fresh-frozen or Formalin-fixed Paraffin-embedded B6C3F1/N Mouse Hepatocellular Carcinomas Arising Either Spontaneously or due to Chronic Chemical Exposure.
Toxicol Pathol
; 46(6): 706-718, 2018 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-30045675
14.
Benchmark Dose Modeling Estimates of the Concentrations of Inorganic Arsenic That Induce Changes to the Neonatal Transcriptome, Proteome, and Epigenome in a Pregnancy Cohort.
Chem Res Toxicol
; 30(10): 1911-1920, 2017 10 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-28927277
15.
An Intuitive Approach for Predicting Potential Human Health Risk with the Tox21 10k Library.
Environ Sci Technol
; 51(18): 10786-10796, 2017 Sep 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-28809115
16.
RNA-Seq-based toxicogenomic assessment of fresh frozen and formalin-fixed tissues yields similar mechanistic insights.
J Appl Toxicol
; 35(7): 766-80, 2015 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-25378103
17.
Exposure to PFAS chemicals induces sex-dependent alterations in key rate-limiting steps of lipid metabolism in liver steatosis.
Front Toxicol
; 6: 1390196, 2024.
Artigo
em Inglês
| MEDLINE | ID: mdl-38903859
18.
Harnessing genomics to identify environmental determinants of heritable disease.
Mutat Res
; 752(1): 6-9, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-22935230
19.
ToxicR: A computational platform in R for computational toxicology and dose-response analyses.
Comput Toxicol
; 252023 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-36909352
20.
Considerations for application of benchmark dose modeling in radiation research: workshop highlights.
Int J Radiat Biol
; 99(9): 1320-1331, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-36881459