bioRxivCancer Biology
miRNA-mediated loss of m6A increases nascent translation in glioblastoma
J. P. Zepecki, D. Karambizi, J. E. Fajardo, K. M. Snyder, C. Guetta-Terrier, O. Y. Tang, J.-S. Chen, A. Sarkar, A. Fiser, S. A. Toms, N. Tapinos
Abstract
Within the glioblastoma cellular niche, glioma stem cells (GSCs) can give rise to differentiated glioma cells (DGCs) and, when necessary, DGCs can reciprocally give rise to GSCs to maintain the cellular equilibrium necessary for optimal tumor growth. Here, using ribosome profiling, transcriptome and m6A RNA sequencing, we show that GSCs from patients with different subtypes of glioblastoma share a set of transcripts, which exhibit a pattern of m6A loss and increased protein translation during differentiation. The target sequences of a group of miRNAs overlap the canonical RRACH m6A motifs of these transcripts, many of which confer a survival advantage in glioblastoma. Ectopic expression of the RRACH-binding miR-145 induces loss of m6A, formation of FTO/AGO1/ILF3/miR-145 complexes on a clinically relevant tumor suppressor gene (CLIP3) and significant increase in its nascent translation. Inhibition of miR-145 maintains RRACH m6A levels of CLIP3 and inhibits its nascent translation. This study highlights a critical role of miRNAs in assembling complexes for m6A demethylation and induction of protein translation during GSC state transition. Author SummaryCellular plasticity and epigenetic adaptation of human glioblastoma stem cells to the tumor microenvironment is a hallmark of this devastating disease. With our present work, we discover the relationship between miRNAs and the RNA methylation machinery in human glioblastoma and show how miRNA-induced loss of m6A results in increase in protein translation of clinically important transcripts during glioblastoma stem cell differentiation. Leveraging the dynamic functions of these miRNAs can be important in the design of optimal therapeutics targeted at cancer cell plasticity.
- organism: human
- assay: Ribo-seq
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: deep learning
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Glioblastoma Hijacks Astrocyte Ribosomes to Feul Malignancy through Translatome Reprogramming
Xujia Wu, Chen Zheng, … Nu Zhang·bioRxiv·Oct 29, 2026
- Deregulating m6A regulators leads to altered RNA biology in glioma cell lines
Syeda Maheen Batool, Hanna Lee, … Leonora Balaj·bioRxiv·Oct 28, 2024
- MicroRNA miR-100 decreases glioblastoma growth by targeting SMARCA5 and ErbB3 in tumor-initiating cells
Bahauddeen M. Alrfaei, Paul A. Clark, … John S. Kuo·Technology in Cancer Research & TreatmentPeer-reviewed·Jan 1, 2020
- Gene Expression Analysis of Glioma Neural Stem Cells Shows Disturbed Amino Acids Metabolism and Axonal Growth Cone Dynamics in Glioblastoma Multiforme.
R. D. Vaja·bioRxiv·Sep 27, 2021
- Chi3l1 is a modulator of glioma stem cell states and a therapeutic vulnerability for glioblastoma
C. Guetta-Terrier, D. Karambizi, … N. Tapinos·bioRxiv·Oct 1, 2021
- Glioblastoma stem cells express non-canonical proteins and exclusive mesenchymal-like or non-mesenchymal-like protein signatures
H. Baba?i?, S. Galardi, … M. Pernemalm·bioRxiv·Feb 6, 2022