Quantitative prediction of variant effects on alternative splicing in

Autor: Jayashree, Kumar, Lela, Lackey, Justin M, Waldern, Abhishek, Dey, Anthony M, Mustoe, Kevin M, Weeks, David H, Mathews, Alain, Laederach
Rok vydání: 2021
Předmět:
Zdroj: eLife. 11
ISSN: 2050-084X
Popis: Splicing is highly regulated and is modulated by numerous factors. Quantitative predictions for how a mutation will affect precursor mRNA (pre-mRNA) structure and downstream function are particularly challenging. Here, we use a novel chemical probing strategy to visualize endogenous precursor and mature
Databáze: OpenAIRE