PLX188847

GSE120001: Effect of Miz1 POZ domain deletion on expression profiles of B and T leukemia cells

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

Acute lymphoblastic leukemia (ALL) is an aggressive blood cancer mainly affecting children. Relapse rates are high and toxic chemotherapies that block DNA replication and induce DNA damage cause health problems later in life, underlining the need for improved therapies. c-Myc is a transcription factor that is hyperactive in a large proportion of cancers including leukemia but is difficult to target in therapy. We show that ablation of the function of the BTB/POZ domain factor Miz-1, an important co-factor of c-Myc, significantly delays T- and B-ALL/lymphoma in mice and interferes with c-Myc oncogenic transcriptional activity. Leukemic cells that still emerge in this system activate DNA replication pathways, which are those targeted by current chemotherapeutic drugs such as cytarabine. We found that the combination of acute ablation of the Miz-1 POZ domain enhances the effect of cytarabine treatment. This combination was effective in both E-Myc and Notch ICN driven leukemia models and prolonged survival of tumor bearing animals by accelerating apoptosis of leukemic cells. These observations suggest that targeting Miz-1 could render current ALL chemotherapies more effective with a better outcome for patients. SOURCE: Möröy Tarik (tarik.moroy@ircm.qc.ca) - Insititut de Recherches Cliniques

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