PLX297636

GSE87043: The Dynamic Epigenetic Landscape of the Retina During Development, Reprogramming, and Tumorigenesis [RNA-Seq_Mm]

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

In the developing retina, as in many other regions of the central nervous system, multipotent neural progenitor cells undergo unidirectional changes to produce differentiated cells in a precise spatiotemporal order. Here we profile the epigenetic and transcriptional changes that occur during retinal development in mice and humans. Although some progenitor genes and cell cycle genes were epigenetically silenced during retinogenesis, the most dramatic change was derepression of cell typespecific differentiation programs. We identified developmental stagespecific superenhancers and showed that the majority of epigenetic changes during murine retinal development are conserved in the human retina. To determine how the epigenome changes during tumorigenesis and reprogramming, we performed the same integrated epigenetic analysis of murine and human retinoblastomas and iPSCs derived from murine rod photoreceptors. The retinoblastoma epigenome mapped to the developmental stage when retinal progenitors switch from a neurogenic to a terminal pattern of cell division and murine retinoblastomas initiate earlier in development than human tumors. The epigenome of retinoblastomas was far more similar to that of normal retina than was the epigenome of retinal-derived iPSCs but we were able to identify retinal specific epigenetic memory. Together, these data provide an in depth view of the dynamic epigenome during neurogenesis and how that relates to developmental tumors and epigenetic memory in iPSCs produced from neurons. SOURCE: Beisi Xu (beisi.xu@stjude.org) - St Jude Children's Research Hosipital

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