Development of Selective Antiviral RNA-Degrading Chimeras Mimicking Ribonuclease Activity
- Funded by National Institutes of Health (NIH)
- Total publications:0 publications
Grant number: 1R21AI199121-01
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Key facts
Disease
Zika virus diseaseStart & end year
20262028Known Financial Commitments (USD)
$442,296Funder
National Institutes of Health (NIH)Principal Investigator
ASSISTANT PROFESSOR Jingxin WangResearch Location
United States of AmericaLead Research Institution
UNIVERSITY OF CHICAGOResearch Priority Alignment
N/A
Research Category
Therapeutics research, development and implementation
Research Subcategory
Pre-clinical studies
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
PROJECT SUMMARY Endogenous ribonucleases (RNases) are an important component of the host immune response to viral infections. Mimicking the RNase function, RNA-degrading chimeras (RDC) are a class of molecules that selectively bind RNA and recruit RNases, typically RNase L, to cleave the viral RNA. However, RNase L- dependent RDCs typically achieve only ~75% RNA knockdown, insufficient for complete viral clearance. To overcome this limitation, we propose to develop a novel class of direct-acting antivirals: RDCs that cleave RNA directly through general acid-general base catalysis, more faithfully mimicking the mechanism of natural ribonucleases. Additionally, we will improve the selectivity of RNA-binding scaffolds by targeting a conserved viral RNA structure and developing a high-throughput synthesis and screening pipeline. Importantly, we will implement a second-generation chemical-guided SHAPE sequencing (cgSHAPE-seq) technology for activity- based RNA profiling. This platform will enable competitive, transcriptome-wide evaluation of ligand binding specificity in live cells. We will demonstrate the effectiveness of this new approach to antiviral design in the context of Zika virus (ZIKV), a mosquito-borne flavivirus associated with severe neurological disorders, including Guillain-Barré syndrome and microcephaly. We hypothesize that our optimized RDCs will significantly reduce ZIKV RNA levels both in vitro and in ZIKV-infected human neural progenitor cells. This project represents the first application of RDCs to directly degrade ZIKV RNA and introduces a generalizable strategy for RNA-targeting antiviral development. By establishing robust methods for RNA binding optimization and transcriptome-wide selectivity profiling, this work has the potential to revolutionize antiviral drug discovery and provide a scalable approach to combat emerging RNA viral threats. 1