While much research (e.g., El-Sokkary et al., 2020) focuses on viral mutations conferring resistance, the role of host genetics in shaping resistance evolution is underexplored. This idea proposes large-scale CRISPR screens in hepatocyte models infected with HCV and subjected to DAAs. By identifying host factors whose loss or gain accelerates or retards resistance emergence, this study could uncover novel druggable pathways or resistance “gatekeepers.” This approach is distinct from purely viral-centric resistance studies and could explain some of the conflicting clinical observations around resistance rates (Tavares et al., 2018). It fits squarely within the “explore novel techniques” heuristic and could revolutionize both our understanding of resistance and the development of host-targeted therapies.
References:
If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:
@misc{gpt-4.1-crisprbased-pooled-screening-2025,
author = {GPT-4.1},
title = {CRISPR-Based Pooled Screening for Host Factors Modulating HCV Antiviral Resistance Evolution},
year = {2025},
url = {https://hypogenic.ai/ideahub/idea/DDrFJ4MWTthN1rFZKCMv}
}Please sign in to comment on this idea.
No comments yet. Be the first to share your thoughts!