ReviewEnvironmental and molecular mutagenesis2011
Genetic toxicology in the 21st century: reflections and future directions.
Review in Environmental and molecular mutagenesis, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 105 citations in OpenAlex.
- Pooled it
- In Silico Approaches in Predictive Genetic Toxicology.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Evaluating the Genotoxicity and Mutagenicity of Food Contaminants: Acrylamide, Penitrem A, and 3-Acetyldeoxynivalenol in Individual and Combined Exposure In Vitro.Journal of applied toxicology : JAT · 2025Article
- Revisiting the approaches to DNA damage detection in genetic toxicology: insights and regulatory implications.BioData mining · 2025Article
- Genotoxicity assessment: opportunities, challenges and perspectives for quantitative evaluations of dose-response data.Archives of toxicology · 2023Review
- In Vitro Transcriptome Analysis of Cobalt Boride Nanoparticles on Human Pulmonary Alveolar Cells.Materials (Basel, Switzerland) · 2022Article
- Machine Learning for In Silico ADMET Prediction.Methods in molecular biology (Clifton, N.J.) · 2022Article
- GFP-fused yeast cells as whole-cell biosensors for genotoxicity evaluation of nitrosamines.Applied microbiology and biotechnology · 2021Article
- The Challenges of 21st Century Neurotoxicology: The Case of Neurotoxicology Applied to Nanomaterials.Frontiers in toxicology · 2021Article
- Genetic toxicology in silico protocol.Regulatory toxicology and pharmacology : RTP · 2019Article
- Prediction Model with High-Performance Constitutive Androstane Receptor (CAR) Using DeepSnap-Deep Learning Approach from the Tox21 10K Compound Library.International journal of molecular sciences · 2019Article
- The transformics assay: first steps for the development of an integrated approach to investigate the malignant cell transformation in vitro.Carcinogenesis · 2018Article
- Genotoxicity Assessment of Drinking Water Disinfection Byproducts by DNA Damage and Repair Pathway Profiling Analysis.Environmental science & technology · 2018Article
- Article
- The Impact of Novel Assessment Methodologies in Toxicology on Green Chemistry and Chemical Alternatives.Toxicological sciences : an official journal of the Society of Toxicology · 2018Review
- A high-fidelity method for genomic sequencing of single somatic cells reveals a very high mutational burden.Experimental biology and medicine (Maywood, N.J.) · 2017Review
- Development of an in vitro PIG-A gene mutation assay in human cells.Mutagenesis · 2017Article
- Systems biology for organotypic cell cultures.ALTEX · 2017Article
- A Quantitative Toxicogenomics Assay for High-throughput and Mechanistic Genotoxicity Assessment and Screening of Environmental Pollutants.Environmental science & technology · 2016Article
- Advancing toxicology research using in vivo high throughput toxicology with small fish models.ALTEX · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 6 institutions in 1 country.
Funding
Abstract
A symposium at the 40th anniversary of the Environmental Mutagen Society, held from October 24-28, 2009 in St. Louis, MO, surveyed the current status and future directions of genetic toxicology. This article summarizes the presentations and provides a perspective on the future. An abbreviated history is presented, highlighting the current standard battery of genotoxicity assays and persistent challenges. Application of computational toxicology to safety testing within a regulatory setting is discussed as a means for reducing the need for animal testing and human clinical trials, and current approaches and applications of in silico genotoxicity screening approaches across the pharmaceutical industry were surveyed and are reported here. The expanded use of toxicogenomics to illuminate mechanisms and bridge genotoxicity and carcinogenicity, and new public efforts to use high-throughput screening technologies to address lack of toxicity evaluation for the backlog of thousands of industrial chemicals in the environment are detailed. The Tox21 project involves coordinated efforts of four U.S. Government regulatory/research entities to use new and innovative assays to characterize key steps in toxicity pathways, including genotoxic and nongenotoxic mechanisms for carcinogenesis. Progress to date, highlighting preliminary test results from the National Toxicology Program is summarized. Finally, an overview is presented of ToxCast™, a related research program of the U.S. Environmental Protection Agency, using a broad array of high throughput and high content technologies for toxicity profiling of environmental chemicals, and computational toxicology modeling. Progress and challenges, including the pressing need to incorporate metabolic activation capability, are summarized.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.