PLX187871

GSE102269: Mitochondrial unfolded protein response gene Clpp plays a role in female fertility and reproductive aging

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

We performed RNAseq analysis to determine the effect of ClpP-deletion on cumulus cells global gene expression profile in mature (3 month-old) and (6 month-old) mice. RNA sequencing revealed about 13,000 genes (FPKM > 0.1) expressed in cumulus cells. A total of 1025 genes were significantly differentially expressed (p<0.05) in 3-month ClpP-/- cumulus cells compared to WT (548 up-regulated and 477 down-regulated). At 6-month, a total of 555 genes were significantly differentially expressed in ClpP-/- cumulus cells compared to WT (464 up-regulated and 91 down-regulated). In addition, 1012 and 1034 genes were significantly differentially expressed in both 6 month ClpP-/- and WT cumulus cells compared to younger ClpP-/- cumulus cells, respectively. In this study, we assessed the effect of ClpP global deletion on cumulus cells gene expression. Our findings provide new insight into the role of CLPP in the cumulus cells, and may help understand the potential mechanism of infertility and reproductive aging associated with ClpP-deficiency. SOURCE: Zongliang Jiang (zongliang.jiang@yale.edu) - Reproductive Medicine Laboratory Yale 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