PLX291549

GSE101292: Allele-specific expression profiling of imprinted genes in mouse isogenic pluripotent tissues and cell lines

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

Genomic imprinting, resulting in parent-of-origin specific gene expression, plays a critical role in mammalian development. Here, we perform allele-specific RNA-Seq on isogenic B6D2F1 mice to assay imprinted genes in tissues from early embryonic stages and in pluripotent cell lines. For the cell lines, we include embryonic stem cells (ESCs) and epiblast stem cells (EpiSCs) derived from fertilized embryos or from embryos obtained after nuclear transfer (NT), as well as B6D2F1 ESCs and EpiSCs derived after parthenogenetic activation (PGA). Notably, the PGA-derived cell lines contain a mosaic genotype due to genomic recombination occurring in the parental B6D2F1 oocyte during meiosis. As the homozygous genomic regions of the PGA-derived cells are not compatible with allele-specific RNA-Seq, we developed an RNA-Seq based genotyping strategy that allows identification of the informative heterozygous regions. Global imprinting analysis shows that ESC lines largely lose imprints as compared to their corresponding embryonic tissues. Fertilized EpiSC and EpiSC-NT lines generally maintain imprinted gene expression. However, two EpiSC-NT lines show aberrant silencing of Rian and Meg3, two critically imprinted genes in mouse iPSCs. EpiSC-PGA lines display loss of imprinting, with known paternally-expressed genes being silenced and known maternally-expressed genes consistently showing doubled expression. Interestingly, most female EpiSC lines show monoallelic expression of Xist and full skewing of X inactivation, suggesting a (near) clonal origin. Together, our analysis provides a comprehensive overview of imprinted gene expression in pluripotency and provides a benchmark to allow identification of cell lines that faithfully maintain imprinted gene expression and therefore retain full developmental potential. SOURCE: Hendrik Marks (h.marks@ncmls.ru.nl) - Radboud University Nijmegen, RIMLS

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