Integrative analysis of mRNA stability regulation uncovers a metastasis-suppressive program in breast cancer.

ABSTRACT: Heterogeneity in cancer gene expression is typically linked to genetic and epigenetic alterations, yet post-transcriptional regulation likely influences these patterns as well. However, the quantitative contribution of post-transcriptional mechanisms to cancer transcriptome dynamics remains unclear. Here, we systematically measured mRNA dynamics across diverse breast cancer models, revealing that mRNA stability significantly shapes gene expression variability. To decipher the regulatory grammar underlying these dynamics, we developed GreyHound, an interpretable multimodal deep-learning framework integrating RNA sequence features and RNA-binding protein (RBP) expression. GreyHound identified an extensive network of RBPs and their regulons underlying variations in mRNA stability. Among these

SUBMITTER: Karner H 

PROVIDER: S-EPMC12157493 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature