PLX121324

GSE72607: Intergenerational consequences of gene-environment induced epigenetic dynamics at rDNA in the mouse (RNA-Seq)

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

The ability of environmental exposures in one generation to elicit phenotypic outcomes in subsequent generations suggests that DNA is not the sole vehicle of biological heredity. Such non-genetic inheritance has been demonstrated in a variety of non-mammalian species but, to date, has remained controversial and inadequately characterised in mammals. Here, we show that early life protein restriction (PR) in mice alters DNA methylation at specific genetic variants of multi-copy ribosomal DNA (rDNA), to produce a linear correlation with the extent of growth restriction induced by PR. These effects are common to soma and germ-line and are concomitant with changes in the relative abundance of the responsive rDNA genetic variant. Intergenerational pedigree analysis reveals that rDNA genetic correlations are abolished between directly exposed males and their unexposed offspring, and epigenetic correlations are gained.To the best of our knowledge, this is the first direct demonstration in mammals of epigenetic dynamics induced by gene-environment interactions. Our work confirms rDNA as an evolutionarily conserved target of nutritional insults and intergenerational effects in flies, yeast, and now mice. SOURCE: Robert Lowe QMUL

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