PLX110912

GSE110709: RNA-seq of GSK-J4 Treated Neuroblastoma Cell Lines

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

High-risk neuroblastoma is often distinguished by amplification of MYCN and loss of differentiation potential with tumors refractory to retinoic acid differentiation based therapies. Here, we leverage high-throughput drug screening of epigenetic targeted therapies across a large and diverse tumor cell line panel to uncover the hypersensitivity of neuroblastoma cells to GSK-J4, a small molecule dual inhibitor of H3K27 demethylases UTX and JMJD3. Mechanistically, GSK-J4 induced neuroblastoma differentiation and ER stress with accompanying upregulation of PUMA and apoptosis induction. Retinoic acid (RA)-resistant neuroblastoma cells were sensitive to GSK-J4. Additionally, GSK-J4 was effective at blocking the growth of chemorefractory and patient-derived xenograft models of high-risk neuroblastoma in vivo. Further, GSK-J4 and RA combined to induce differentiation, ER-stress and limit the growth of neuroblastomas resistant to either drug alone. In MYCN-amplified neuroblastoma, which is the most prevalent driver gene alteration in the refractory population, PUMA induction by GSK-J4 sensitized tumors to the BCL-2 inhibitor venetoclax, demonstrating that epigenetic targeted therapies and BH3 mimetics can be rationally combined to treat high-risk subset of neuroblastoma. Therefore, H3K27 demethylation inhibition is a promising therapeutic target to treat high-risk neuroblastoma, and H3K27 demethylation can be part of rational combination therapies to induce robust anti-neuroblastoma activity. SOURCE: Timothy,L,Lochmann (tllochmann@vcu.edu) - Anthony Faber Virginia Commonwealth 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