Distinguishing between genotoxic and non-genotoxic hepatocarcinogens by gene expression profiling and bioinformatic pathway analysis
Citations Over TimeTop 20% of 2013 papers
Abstract
A rapid and sensitive method to determine the characteristics of carcinogens is needed. In this study, we used a microarray-based genomics approach, with a short-term in vivo model, in combination with insights from statistical and mechanistic analyses to determine the characteristics of carcinogens. Carcinogens were evaluated based on the different mechanisms involved in the responses to genotoxic carcinogens and non-genotoxic carcinogens. Gene profiling was performed at two time points after treatment with six training and four test carcinogens. We mapped the DEG (differentially expressed gene)-related pathways to analyze cellular processes, and we discovered significant mechanisms that involve critical cellular components. Classification results were further supported by Comet and Micronucleus assays. Mechanistic studies based on gene expression profiling enhanced our understanding of the characteristics of different carcinogens. Moreover, the efficiency of this study was demonstrated by the short-term nature of the animal experiments that were conducted.
Related Papers
- → Differential gene expression profiles in peripheral blood in Northeast Chinese Han people with acute myocardial infarction(2018)22 cited
- → Comparative study of microarray and experimental data on Schwann cells in peripheral nerve degeneration and regeneration: big data analysis(2019)14 cited
- → The promise and perils of microarray analysis(2006)8 cited
- → A standardized fold change method for microarray differential expression analysis used to reveal genes involved in acute rejection in murine allograft models(2017)3 cited
- Preparation PRV,PPV and JEV detection microarray(2007)