ArticlebioRxiv : the preprint server for biology2025
Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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11 authors.
Funding
Abstract
Non-viral gene editing offers a practical alternative to viral delivery for durable biologics production. Clinical trials have shown that adeno-associated virus encoding broadly neutralizing antibodies can protect against HIV, but result in limited, short-lived responses. The development of non-viral gene editing approaches in hematopoietic stem and progenitor cells holds promise for long-term antibody production. In this study, we evaluated CRISPR/Cas9 and CRISPR/Cas12a for gene knock-in at the immunoglobulin heavy chain locus in non-human primate hematopoietic stem and progenitor cells. Delivering the nuclease as a protein alongside a custom DNA template, we optimized editing with Cas12a and demonstrated higher knock-in efficiency and fewer non-specific edits than Cas9. Transplantation of edited non-human primate hematopoietic stem and progenitor cells into MISTRG mice led to engraftment, B cell differentiation, and transgene expression of a reporter transgene or anti-HIV antibody after HIV immunization with detectable anti-HIV antibody titers in peripheral blood circulation. These findings demonstrate the feasibility of using non-viral gene editing in HSPC as a potential strategy for sustained biologics production in the treatment of chronic diseases such as HIV. Future work will assess the efficacy of this model in a non-human primate model of HIV infection.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.