PLX217992

GSE83474: Biotin tagging of MeCP2 reveals contextual insights into the Rett syndrome transcriptome

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

Mutations in MECP2 cause Rett syndrome (RTT), a X-linked neurological disorder characterized by the regressive loss of neurodevelopmental milestones and acquired intellectual disability and motor impairments. However, the cellular heterogeneity of the mammalian brain impedes our understanding of how MECP2 mutations disrupt neuronal function and contribute to RTT. In response, we developed cell type-specific biotin tagging in mice bearing RTT-associated mutations and profiled nuclear transcriptomes in WT and mutant neurons. Although individual gene expression changes are largely specific to each mutation and cell type, higher-level transcriptional features remain conserved and correlate with RTT phenotypic severity. Furthermore, subcellular RNA populations support post-transcriptional compensation as a basis for the upregulation of long genes previously reported in RTT mutant neurons. Finally, we overcame the genetic mosacism associated with female RTT mouse models and identified functionally distinct gene expression changes in neighboring WT and mutant neurons, which altogether provide key contextual insights into RTT. SOURCE: Ying-Tao Zhao (jerry.yt.zhao@gmail.com) - Zhaolan (Joe) Zhou Lab University of Pennsylvania School of Medicine

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