PLX131077

GSE143218: RNA-seq of knocked-out oocytes and directly induced oocyte-like cells (DIOLs)

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

During female germline development oocytes become a highly specialized cell type, and form a maternal cytoplasmic store of crucial factors during oocyte growth. Oocyte growth is triggered at the primordial-primary follicle transition accompanied with dynamic changes in gene expression, yet the gene regulatory network underpinning oocyte growth remains elusive. Here we identified a set of transcription factors sufficient to trigger oocyte growth. By dissection of the change in gene expression and functional screening using an in vitro oocyte development system, we identified 8 transcription factors, each of which was essential for the primordial-primary follicle transition. Surprisingly, enforced expression of these transcription factors swiftly converted pluripotent stem cells to oocyte-like cells that were competent for fertilization and subsequent cleavage. These transcription factor-induced oocyte-like cells were formed without PGC specification, epigenetic reprogramming or meiosis, establishing that oocyte growth and lineage-specific de novo DNA methylation is separable from the preceding epigenetic reprogramming in PGCs. This study identifies a core set of transcription factors for orchestrating oocyte growth, and also provides an alternative source of ooplasm, which is a unique material for reproductive biology and medicine. SOURCE: Nobuhiko Hamazaki (hamazaki@hgs.med.kyushu-u.ac.jp) - Kyushu University

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