0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessSignificance Defects in transfer RNA (tRNA) modifications occur in human pathologies such as cancer; however, how these alterations contribute to the disease is poorly understood. One example is the tumor-specific hypomodification of position 37 of tRNA Phe , which was first described 45 y ago, although its cause and consequences have remained unknown. Here we report that the tRNA Phe hypomodification is due to promoter CpG island hypermethylation-associated transcriptional silencing of TYW2, a key enzyme in the synthesis of wybutosine derivatives. Furthermore, epigenetic loss of TYW2 in transformed cells provokes hypomodified tRNA Phe -mediated ribosome frameshifting, dysregulating mRNA abundance via nonsense-mediated decay. Importantly, TYW2 silencing in cancer cells confers enhanced migration and epithelial-to-mesenchymal features that are associated in early-stage colorectal cancer patients with poor clinical outcome.
Margalida Rosselló-Tortella, Pere Llinàs‐Arias, Yuriko Sakaguchi, Kenjyo Miyauchi, Verónica Dávalos, Fernando Setién, María Eréndira Calleja-Cervantes, David Piñeyro, Jesús Martínez‐Gómez, Sònia Guil, Ricky S. Joshi, Alberto Villanueva, Tsutomu Suzuki, Manel Esteller (2020). Epigenetic loss of the transfer RNA-modifying enzyme TYW2 induces ribosome frameshifts in colon cancer. , 117(34), DOI: https://doi.org/10.1073/pnas.2003358117.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2020
Authors
14
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1073/pnas.2003358117
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access