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Wednesday, November 9, 2016
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Wednesday, November 2, 2016
Highlighted Article: Toxicogenomics to Evaluate Endocrine Disrupting Effects of Environmental Chemicals Using the Zebrafish Model
Toxicogenomics to Evaluate Endocrine Disrupting Effects of Environmental Chemicals Using the Zebrafish Model
Author(s):
Karina Caballero-Gallardo, Jesus Olivero-Verbel and Jennifer L. Freeman Pages 515 - 527 ( 13 )
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.
Affiliation:
School of Health Sciences, 550 Stadium Mall Drive, HAMP-1263D Purdue University, West Lafayette, IN 47907, USA.
Graphical Abstract:
Wednesday, October 26, 2016
Most Accessed Article: A Genome-wide Association Analysis in Four Populations Reveals Strong Genetic Heterogeneity For Birth Weight
A Genome-wide
Association Analysis in Four Populations Reveals Strong Genetic Heterogeneity
For Birth Weight
Author(s):
Tiane Luo, Xu Liu and Yuehua CuiPages 416-426
(11)
Abstract:
Low or high birth weight is one of the main causes for neonatal morbidity and mortality. They are also associated with adulthood chronic illness. Birth weight is a complex trait which is affected by baby’s genes, maternal environments as well as the complex interactions between them. To understand the genetic basis of birth weight, we reanalyzed a genome-wide association study data set which consists of four populations, namely Thai, Afro-Caribbean, European, and Hispanic population with regular linear models. In addition to fit the data with parametric linear models, we fitted the data with a nonparametric varying-coefficient model to identify variants that are nonlinearly modulated by mother’s condition to affect birth weight. For this purpose, we used baby’s cord glucose level as the mother’s environmental variable. At the 10-5 genome-wide threshold, we identified 33 SNP variants in the Thai population, 26 SNPs in the Afro-Caribbean population, 18 SNPs in the European population, and 7 SNPs in the Hispanic population. Some of the variants are significantly modulated by baby’s cord glucose level either linearly or nonlinearly, implying potential interactions between baby’s gene and mother’s glucose level to affect baby’s birth weight. There is no overlap between variants identified in the four populations, indicating strong genetic heterogeneity of birth weight between the four ethnic groups. The findings of this study provide insights into the genetic basis of birth weight and reveal its genetic heterogeneity.
Keywords:
Gene-environment interaction, Genetic association,
Nonlinear modulation, Varying-coefficient model, Birth weight, Four population.
Affiliation:
Division of Health Statistics, School of
Public Health, Shanxi Medical University, Shanxi, 030001, P.R. China.
Graphical Abstract:
Thursday, October 20, 2016
Wednesday, October 5, 2016
New Issue ::: Current Genomics 17, Issue 4
Current Genomics is a peer-reviewed journal that provides essential reading for academic, clinical, government and pharmaceutical scientists who wish to be kept informed and up-to-date with the latest and most important developments in genome science and systems modeling.
Current Genomics publishes three types of peer-reviewed articles including:
- i) High-quality research papersreporting on new and original data generated at the genome scale level, including meta-analysis studies. Systems biology, molecular systems modeling, molecular evolution, developmental biology, aging research and human disease research are topics of particular interest. Position papers dealing with new or complex methodological approaches whether experimental or mathematical are greatly welcome in this section.
- ii) Authoritative and comprehensive reviewsfrom widely-recognized experts, covering all the latest and outstanding developments in genome science and computational/systems biology. Proposals for mini-hot topics (2-3 review papers) and full hot topics (6-8 review papers) are welcome in this section and they should not contain original data. Guest edited issues provide expert views on specific questions giving an extensive and comprehensive analysis of a specific field of activities in genomics. All aspects of genetic analysis and gene function will be covered, particularly in the growing areas of human genomics, functional genomics and next generation sequencing, molecular evolution, developmental biology, aging research and systems/statistical modeling.
iii) Opinion papers from internationally and widely recognized experts addressing contemporary questions and issues in the field of genome science and systems biology and basic and clinical research practices.
Articles from the journal Current Genomics, Volume 17, Issue 4:
- Editorial (Thematic Issue: Enhancement of Plant Productivity in the Post-Genomics Era)
- Crosstalk of Signaling Mechanisms Involved in Host Defense and Symbiosis Against Microorganisms in Rice
- Recent Advances in Understanding the Molecular Mechanisms Regulating the Root System Response to Phosphate Deficiency in Arabidopsis
- Role of Cyclic Nucleotide Gated Channels in Stress Management in Plants
- Genome-assisted Breeding For Drought Resistance
- Genomics Approaches For Improving Salinity Stress Tolerance in Crop Plants
- Exploring Genetic Diversity in Plants Using High-Throughput Sequencing Techniques
- Bioinformatics Approach in Plant Genomic Research
- Applications of DNA Technologies in Agriculture
For details on the articles, please visit this link :: http://bit.ly/2aixpmz
courtesy by : https://benthamsciencepublishers.wordpress.com/2016/08/01/new-issue-current-genomics-17-issue-4/
Highlighted article from the journal Current Genomics Vol 17 issue 4
courtesy by https://benthamsciencepublishers.wordpress.com/2016/02/01/highlighted-article-from-the-journal-current-genomics-vol-17-issue-4/
