Split RNA switch orchestrates pre- and post-translational control to enable cell type-specific gene expression

RNA switch is a synthetic RNA-based technology that controls gene expression in response to cellular RNAs and proteins, thus enabling cell type-specific gene regulation and holding promise for gene therapy, regenerative medicine, and cell therapy. However, individual RNA switches often lack the specificity required for practical applications due to low ON/OFF ratios and difficulty in finding distinct and single biomolecule targets. To address these issues, we present "split RNA switches" that integrate outputs from multiple RNA switches by exploiting protein splicing. We show that split RNA switches significantly improve the ON/OFF ratio of microRNA-responsive ON switch system by canceling leaky OFF level in human cells. Using this approach, we achieve efficient cell purification using drug-resistance genes based on endogenous microRNA profiles and CRISPR-mediated genome editing with minimal off-target-cell effects. Additionally, we demonstrate RNA-based synthetic circuits using split RNA switches to enable the detection of multiple microRNAs and proteins with logical operations. Split RNA switches highlight the potential of post-translational processing as a versatile and comprehensive strategy for advancing mRNA-based therapeutic technologies.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-07-01
DOI
https://doi.org/10.1038/s41467-025-60392-2
Citations
5
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
4.03

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Split RNA switch orchestrates pre- and post-translational control to enable cell type-specific gene expression

Megumi Mochizuki, Hirohide Saito, Hirohisa Ohno, I. ABE et al.
5 citations
Nature Communications
CRISPR and Genetic Engineering
4.03
article

Split RNA switch orchestrates pre- and post-translational control to enable cell type-specific gene expression

Megumi Mochizuki, Hirohide Saito, Hirohisa Ohno, I. ABE, Karin Hayashi
article en
5 citations

Abstract

RNA switch is a synthetic RNA-based technology that controls gene expression in response to cellular RNAs and proteins, thus enabling cell type-specific gene regulation and holding promise for gene therapy, regenerative medicine, and cell therapy. However, individual RNA switches often lack the specificity required for practical applications due to low ON/OFF ratios and difficulty in finding distinct and single biomolecule targets. To address these issues, we present "split RNA switches" that integrate outputs from multiple RNA switches by exploiting protein splicing. We show that split RNA switches significantly improve the ON/OFF ratio of microRNA-responsive ON switch system by canceling leaky OFF level in human cells. Using this approach, we achieve efficient cell purification using drug-resistance genes based on endogenous microRNA profiles and CRISPR-mediated genome editing with minimal off-target-cell effects. Additionally, we demonstrate RNA-based synthetic circuits using split RNA switches to enable the detection of multiple microRNAs and proteins with logical operations. Split RNA switches highlight the potential of post-translational processing as a versatile and comprehensive strategy for advancing mRNA-based therapeutic technologies.

Nature CommunicationsVol. 16(1)
Kyoto University (JP), Quantitative BioSciences (US), Kyoto University Hospital (JP), The University of Tokyo (JP)
University of Chicago, Japan Agency for Medical Research and Development, Inamori Foundation, Ministry of Education, India, Kyoto University, Japan Society for the Promotion of Science, Core Research for Evolutional Science and Technology
Good health and well-being
Openalex Percentile: Top 6%
CRISPR and Genetic Engineering
4.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.