Editing a downstream repressive cis-regulatory element of TAW1 unlocks yield potential in rice
Year: 2026
Type: article
Abstract: To systematically dissect the direction and magnitude of cis-regulatory sequence effects on gene transcription in rice, we integrated ATAC-seq and RNA-seq data from 22 tissues and organs of the japonica rice cultivar Nipponbare and developed RiceTissueX, a deep learning framework composed of three functionally complementary submodels. RiceTissueX jointly predicts the regulatory direction (activation or repression), effect size, and tissue specificity of candidate cis-regulatory sequences, and further supports in silico perturbation analysis of regulatory elements, providing computational guidance for precise genome editing targeting cis-regulatory elements.This is a preprint version of the manuscript. The work has not yet been peer-reviewed.
Author: Ma, zhigang
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7125985065
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