Precise engineering of gene expression by editing plasticity.

ABSTRACT:

Background

Identifying transcriptional cis-regulatory elements (CREs) and understanding their role in gene expression are essential for the precise manipulation of gene expression and associated phenotypes. This knowledge is fundamental for advancing genetic engineering and improving crop traits.

Results

We here demonstrate that CREs can be accurately predicted and utilized to precisely regulate gene expression beyond the range of natural variation. We firstly build two sequence-to-expression deep learning models to respectively identify distal and proximal CREs by combining them with interpretability methods in multiple crops. A large number of distal CREs are verified for enhancer activity in vitro using UMI-STARR-seq on 12,000 synthesized sequences. These comprehensively

SUBMITTER: Qiu Y 

PROVIDER: S-EPMC11892124 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature