PLX103566

GSE140895: Inducible cell-specific mouse models for paired epigenetic and transcriptomic studies of microglia and astroglia: RNA-Seq Data

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

Studies of neuroepigenetic mechanisms in health and disease are hindered by a lack of approaches to analyze both the transcriptome and epigenome of specific cell types isolated from the complex milieu of the CNS. Cell isolation by cell surface markers is complicated by preparation artifacts, changes in markers with experimental conditions, and lack of specific markers. This study validates a Nuclear Tagging and Translating Ribosome Affinity Purification (NuTRAP) approach with tamoxifen (Tam) inducible cell-type specific cre recombination to allow the parallel interrogation of the epigenome and the transcriptome in astrocytes (Aldh1l1-creERT2) or microglia (Cx3cr1-creERT2). The recombined NuTRAP construct labels, in a cell-type specific manner, nuclei (RanGAP1) with biotin and mCherry, and the ribosomes (L10a) with EGFP, enabling INTACT isolation of DNA and TRAP isolation of RNA. Validation experiments by flow cytometry and imaging demonstrate cell-type specific induction of the NuTRAP construct. Transcriptomic studies demonstrate isolation of highly enriched RNA by TRAP and oxidative bisulfite studies of INTACT-isolated DNA demonstrate differential DNA modification patterns in microglia and astrocytes. LPS administration in Cx3cr1 NuTRAP mice demonstrates that microglia-specific transcriptome and epigenome changes are revealed that cannot be detected with tissue-level samples. These experiments demonstrate that the NuTRAP approach can be applied to CNS cell populations and that INTACT approaches can be used to study DNA modifications. These results also provide an approach for generation and validation of NuTRAP neuroscience models crossed to any relevant cell-type specific cre line. SOURCE: Willard Freeman (bill-freeman@omrf.org) - Dr. Willard Freeman Oklahoma Medical Research Foundation

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