PLX235711

GSE104559: HNRNPH1 is required for rhabdomyosarcoma cell growth and survival

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

Rhabdomyosarcoma (RMS) is an aggressive and difficult to treat cancer characterized by a muscle-like phenotype. Although the average 5-year survival rate is 65% for newly diagnosed RMS, the treatment options for metastatic disease are limited in efficacy, with the 5-year survival rate plummeting to 30%. Heterogenous nuclear ribonucleoprotein H1 (HNRNPH1) is an RNA-binding protein that is highly expressed in many cancers, including RMS. To determine the role HNRNPH1 plays in RMS tumorigenesis, we investigated its expression and effect on growth in 3 cellular models of RMS: RD, RH30, and RH41 cells. Upon knockdown of HNRNPH1, growth of all cell lines was dramatically reduced, most likely through a combination of apoptosis and cell cycle arrest. We then recapitulated this finding by performing in vivo xenograft studies, in which knockdown of HNRNPH1 resulted in a striking reduction in tumor formation and growth. We used RNA sequencing to identify changes in gene expression after HNRNPH1 knockdown and found altered splicing of some oncogenes. Our data show that HNRNPH1 may be an important molecular target for the development of future RMS therapy. SOURCE: David Finkelstein (david.finkelstein@stjude.org) - St Jude Children's Research Hospital

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