PLX086290

GSE86065: Time course effects of a latent carcinogen in mice

  • Organsim mouse
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

Early-life environmental factors can increase later-life susceptibility to cancer. Short-term exposure to dichloroacetic acid (DCA), a trace drinking water contaminant with distinctive metabolic effects, increased liver cancer in mice 84 weeks after exposure was stopped. Here we evaluated time course dynamics for key events related to this latent effect. This study followed a stop-exposure design in which 28-day-old male B6C3F1 mice were given the following treatments in drinking water for up to 93 weeks: deionized water (dH20, control); 3.5 g/l DCA continuously; or 3.5 g/l DCA for 4, 10, 26, or 52 weeks followed by dH20. Effects were evaluated at eight interim time points. A short-term biomarker study was used to evaluate DCA effects at 6, 15, and 30 days. Liver tumor incidence was higher in all DCA treatment groups, including carcinomas in 82% of mice previously treated with DCA for only 4 weeks. Direct effects of DCA in the short-term study included decreased liver cell proliferation and marked mRNA changes related to mitochrondrial dysfunction and altered cell metabolism. All observed short-term effects of DCA were reversible. Prior DCA treatment did not alter liver cell proliferation, apoptosis, necrosis, or DNA sequence variants with age. Key intermediate events resulting from early-life DCA exposure do not fit classical cytotoxic, mitogenic, or genotoxic modes of action for carcinogenesis, suggesting a novel epigenetic mechanism related to metabolic disruption. SOURCE: Susan Hester (hester.susan@epa.gov) - US EPA

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team