PLX156112

GSE100098: Neat1 is a p53-inducible lincRNA essential for transformation suppression

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

p53 is a transcriptional activator that induces myriad target genes. However, those p53-inducible genes most critical for tumor suppression remain elusive. Here, we identify Neat1, a ncRNA constituent of paraspeckles, as a p53 target gene induced by mouse and human p53 in different cell types and by diverse stress signals. Using fibroblasts derived from Neat1-/- mice, we examine the functional role of Neat1 in the p53 pathway. We find that Neat1 is dispensable for cell-cycle arrest and apoptosis in response to genotoxic stress, but plays a crucial role in suppressing transformation in response to oncogenic signals. To determine the effects of Neat1 deficiency on cells, we used E1A;HRasV12-expressing wild-type and Neat1-/- mouse embryonic fibroblasts (MEFs) for RNA-sequencing analysis. This analysis revealed that Neat1 deficiency impacts the regulatory networks involved in nervous system development and axon guidance programs, as well as genes of the SWI/SNF complex and components of the pancreas development network. These findings suggest that the ability of Neat1 to globally regulate gene expression, with effects on diverse transcriptional programs, provides a potential mechanism for how Neat1 acts to suppress transformation and tumor initiation. SOURCE: Stephano Spano MelloAttardi lab Stanford 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