Abstract
The extent of our knowledge on the number of chemical compounds related to anthropogenic activities that can cause damage to the environment and to organisms is increasing. Endocrine disrupting chemicals (EDCs) are one group of potentially hazardous substances that include natural and synthetic chemicals and have the ability to mimic endogenous hormones, interfering with their biosynthesis, metabolism, and normal functions. Adverse effects associated with EDC exposure have been documented in aquatic biota and there is widespread interest in the characterization and understanding of their modes of action. Fish are considered one of the primary risk organisms for EDCs. Zebrafish (Danio rerio) are increasingly used as an animal model to study the effects of endocrine disruptors, due to their advantages compared to other model organisms. One approach to assess the toxicity of a compound is to identify those patterns of gene expression found in a tissue or organ exposed to particular classes of chemicals, through new technologies in genomics (toxicogenomics), such as microarrays or whole-genome sequencing. Application of these technologies permit the quantitative analysis of thousands of gene expression changes simultaneously in a single experiment and offer the opportunity to use transcript profiling as a tool to predict toxic outcomes of exposure to particular compounds. The application of toxicogenomic tools for identification of chemicals with endocrine disrupting capacity using the zebrafish model system is reviewed.
Keywords: Danio rerio, Endocrine disruptors, Environmental pollutants, Fish, Omics, Toxicity, Toxicogenomics, Zebrafish.
Current Genomics
Title:Toxicogenomics to Evaluate Endocrine Disrupting Effects of Environmental Chemicals Using the Zebrafish Model
Volume: 17 Issue: 6
Author(s): Karina Caballero-Gallardo, Jesus Olivero-Verbel and Jennifer L. Freeman
Affiliation:
Keywords: Danio rerio, Endocrine disruptors, Environmental pollutants, Fish, Omics, Toxicity, Toxicogenomics, Zebrafish.
Abstract: The extent of our knowledge on the number of chemical compounds related to anthropogenic activities that can cause damage to the environment and to organisms is increasing. Endocrine disrupting chemicals (EDCs) are one group of potentially hazardous substances that include natural and synthetic chemicals and have the ability to mimic endogenous hormones, interfering with their biosynthesis, metabolism, and normal functions. Adverse effects associated with EDC exposure have been documented in aquatic biota and there is widespread interest in the characterization and understanding of their modes of action. Fish are considered one of the primary risk organisms for EDCs. Zebrafish (Danio rerio) are increasingly used as an animal model to study the effects of endocrine disruptors, due to their advantages compared to other model organisms. One approach to assess the toxicity of a compound is to identify those patterns of gene expression found in a tissue or organ exposed to particular classes of chemicals, through new technologies in genomics (toxicogenomics), such as microarrays or whole-genome sequencing. Application of these technologies permit the quantitative analysis of thousands of gene expression changes simultaneously in a single experiment and offer the opportunity to use transcript profiling as a tool to predict toxic outcomes of exposure to particular compounds. The application of toxicogenomic tools for identification of chemicals with endocrine disrupting capacity using the zebrafish model system is reviewed.
Export Options
About this article
Cite this article as:
Caballero-Gallardo Karina, Olivero-Verbel Jesus and Freeman L. Jennifer, Toxicogenomics to Evaluate Endocrine Disrupting Effects of Environmental Chemicals Using the Zebrafish Model, Current Genomics 2016; 17 (6) . https://dx.doi.org/10.2174/1389202917666160513105959
DOI https://dx.doi.org/10.2174/1389202917666160513105959 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
Call for Papers in Thematic Issues
Advanced AI Techniques in Big Genomic Data Analysis
The thematic issue on "Advanced AI Techniques in Big Genomic Data Analysis" aims to explore the cutting-edge methodologies and applications of artificial intelligence (AI) in the realm of genomic research, where vast amounts of data pose both challenges and opportunities. This issue will cover a broad spectrum of AI-driven strategies, ...read more
Advanced Computational Algorithms and Artificial Intelligence in Clinical Pharmacogenomics
In the era of personalized medicine, understanding the relationship between genetics and drug response is crucial. This issue delves into innovative methodologies, leveraging deep computational analysis and artificial intelligence, to enhance the field of Clinical Pharmacogenomics. The interdisciplinary approach harnesses the power of advanced high-throughput genotyping technologies, sophisticated computational analysis, ...read more
Applications of Single-cell Sequencing Technology in Reproductive Medicine
Single cell sequencing (SCS) technology utilizes individual cells' genetic material to sequence their genome, transcriptome, and epigenetics at the molecular level. It offers insights into cell heterogeneity and enables the study of limited biological materials. Since its recognition as a valuable technique in 2011, single cell sequencing has yielded numerous ...read more
Big Data in Cancer Research
Cancer is a significant threat to human life and health, remaining a highly aggressive killer. It is a leading cause of death worldwide and represents a crucial medical issue for humanity. However, in the past decade, the effectiveness of new synthetic anticancer agents has not matched the current clinical speculation. ...read more
Related Journals
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
New Approaches to Target Cancer Stem Cells: Current Scenario
Mini-Reviews in Medicinal Chemistry Safety Profile of Plasmid/Liposomes and Virus Vectors in Clinical Gene Therapy
Current Drug Safety Bioactive Polyphenols from Grapes and Wine Emphasized with Resveratrol
Current Pharmaceutical Design Biosafety Challenges for Use of Lentiviral Vectors in Gene Therapy
Current Gene Therapy HIF-1α Modulates Energy Metabolism in Cancer Cells by Inducing Over-Expression of Specific Glycolytic Isoforms
Mini-Reviews in Medicinal Chemistry Regulatory Overview of Biosimilars: Current Scenario and Future Opportunities
Applied Clinical Research, Clinical Trials and Regulatory Affairs Chemokine Receptors as Targets for Cancer Therapy
Current Pharmaceutical Design Organic Synthesis of C-Prenylated Phenolic Compounds
Current Organic Chemistry Chemical Metabolic Inhibitors for the Treatment of Blood-Borne Cancers
Anti-Cancer Agents in Medicinal Chemistry Tumor Stem Cell Niches: A New Functional Framework for the Action of Anticancer Drugs
Recent Patents on Anti-Cancer Drug Discovery Natural Products Chemistry in Marine Ascidians of the Genus Aplidium
Mini-Reviews in Organic Chemistry Recent Patents Reveal Microtubules as Persistent Promising Target for Novel Drug Development for Cancers
Recent Patents on Anti-Infective Drug Discovery Bioplex Technology: Novel Synthetic Gene Delivery Pharmaceutical Based on Peptides Anchored to Nucleic Acids
Current Pharmaceutical Design Protein Kinase CK2 Inhibitors: Emerging Anticancer Therapeutic Agents?
Anti-Cancer Agents in Medicinal Chemistry A Practical Approach to Diagnosis and Treatment of Symptomatic Thromboembolic Events in Children with Acute Lymphoblastic Leukemia: Recommendations of the “Coagulation Defects” AIEOP Working Group
Recent Patents on Cardiovascular Drug Discovery Mechanistic Insights into the Antileukemic Activity of Hyperforin
Current Cancer Drug Targets Small Interfering RNA for Effective Cancer Therapies
Mini-Reviews in Medicinal Chemistry Treatment of Relapsed Acute Myeloid Leukaemia
Reviews on Recent Clinical Trials CD20-based Immunotherapy of B-cell Derived Hematologic Malignancies
Current Cancer Drug Targets Modulation of Ornithine Decarboxylase Activity by Phenolics Based Structurally Related Compounds Synthesized on Steroidal and Non-Steroidal Skeleton and their Radical Scavenging Action
Current Bioactive Compounds