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 MoreRNA binding proteins (RBPs) tightly control mRNA abundance, stability and translation while mutations or altered expression of specific factors can drive malignancy1,2. However, the identity of the RBPs that govern cancer stem cell self-renewal remains poorly characterized. The MSI2 RBP is a central regulator of translation of the cancer stem cell program3-5,6. Here we report, through proteomics analysis of the MSI2 interacting RBP network and functional shRNA screening, 24 genes required for in vivo leukemia, 20 of which are direct MSI2 protein interactors. Seven of these shRNA screen hits were retested in vitro and found to be required for myeloid colony formation. SYNCRIP (also known as HNRP-Q or NSAP1) was the most differentially required gene between normal (c-kit enriched cells) and myeloid leukemia cells. SYNCRIP is highly expressed in mouse and human leukemia cells and its depletion increases apoptosis, differentiation and delays leukemogenesis. Gene expression profiling of SYNCRIP depleted cells demonstrates a loss of the MLL-AF9 and HOXA9 leukemia stem cell gene associated program. SYNCRIP interacts with MSI2 indirectly through shared mRNA targets (such as Hoxa9, Myc and Ikzf2) and MSI2 or HOXA9 overexpression rescues the effects of SYNCRIP depletion. Strikingly, the shRNA-SYNCRIP gene expression signature can predict survival in AML patients. Overall, we uncovered a functionally dysregulated riboproteome in cancer that can be further distinguished from normal cells and propose that targeting this network could result in a novel therapeutic strategy in eradicating cancer stem cells. SOURCE: Sagar Chhangawala (sagar.cornell@gmail.com) - Weill Cornell Medical College
View on GEOView in PlutoEnhance 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 MoreUse 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 analysisView quality control data and experiment metadata for this experiment.
Request imports from GEO or TCGA directly within Pluto Bio.
Chat with our Scientific Insights team