PLX117722

GSE94574: A Cross-Species Approach Identifies MELK as a Potential Therapeutic Target in Prostate Cancer

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

Genetically engineered mouse models of cancer represent valuable biological tools that can be used to filter genome-wide expression datasets generated from human prostate tumours, and identify gene expression alterations that are functionally important to cancer development and progression. In this study, we have generated RNASeq data from tumours arising in two established mouse models of prostate cancer, PB-Cre/PtenloxP/loxP and p53loxP/loxPRbloxP/loxP, and integrated this with published human prostate cancer expression data to pinpoint cancer-associated gene expression changes that are conserved between the two species. In order to identify potential therapeutic targets, we then filtered this information for genes that are either known or predicted to be druggable. Using this approach, we identified the serine/threonine kinase MELK as a potential therapeutic target in prostate cancer. MELK was overexpressed in both human and murine prostate cancers, and high expression of MELK was associated with biochemical recurrence in prostate cancer patients. SOURCE: Chandra Chilamakuri (datasubmissions@cruk.cam.ac.uk) - Cancer Research UK Cambridge Institute

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