Karner H†, Mittmann TC†, Chen VW, Borah AA, Langen A, Yousefi H, Fish L, Zaro BW, Navickas A, Goodarzi H. (2026). Integrative analysis of mRNA stability regulation uncovers a metastasis-suppressive program in breast cancer. Science Advances 12, eaea9061.
Co-First Author
We systematically measured mRNA stability across diverse breast cancer models and built GreyHound, an interpretable deep-learning framework to identify regulators of RNA decay. This work revealed that RBMS3 stabilizes a metastasis-suppressive transcript program centered on TXNIP, linking post-transcriptional regulation directly to breast cancer progression.
DOI linkKeshavarzi Arshadi A†, Salem M†, Karner H†, Garcia K, Arab A, Yuan JS, Goodarzi H. (2024). Functional microRNA-targeting drug discovery by graph-based deep learning. Patterns 5, 100909.
Co-First Author
We developed RiboStrike, a deep-learning framework that identified small molecules with anti-miR-21 activity. I contributed to the experimental validation, helping test candidate compounds through reporter assays and RNA-seq and showing that the top hit reduced lung metastases in a breast cancer mouse model.
DOI linkKarner HM, Webb CH, Carmona S, Liu Y, Lin B, Erhard M, Chan D, Baldi P, Spitale RC, Sun S. (2020). Functional Conservation of LncRNA JPX Despite Sequence and Structural Divergence. Journal of Molecular Biology 432:283-300.
First Author · Featured Article · Cover Art
I showed that the human lncRNA JPX remains functionally conserved despite major sequence and structural divergence from mouse Jpx: it still binds CTCF and can rescue Xist-related defects in mouse embryonic stem cells.
DOI link