Characterization and optimization of 5´ untranslated region containing poly-adenine tracts in Kluyveromyces marxianus using machine-learning model.

ABSTRACT:

Background

The 5´ untranslated region (5´ UTR) plays a key role in regulating translation efficiency and mRNA stability, making it a favored target in genetic engineering and synthetic biology. A common feature found in the 5´ UTR is the poly-adenine (poly(A)) tract. However, the effect of 5´ UTR poly(A) on protein production remains controversial. Machine-learning models are powerful tools for explaining the complex contributions of features, but models incorporating features of 5´ UTR poly(A) are currently lacking. Thus, our goal is to construct such a model, using natural 5´ UTRs from Kluyveromyces marxianus, a promising cell factory for producing heterologous proteins.

Results

We constructed a mini-library consisting of 207 5´ UTRs harboring poly(A) and 34 5´ UTRs withou

SUBMITTER: Zeng J 

PROVIDER: S-EPMC10763412 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature