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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Context-Specific Genotoxicity in Therapeutic Base Editing for Genetic Hyperinflammation - Part 4

Authors: Andrieux, Geoffroy;

Context-Specific Genotoxicity in Therapeutic Base Editing for Genetic Hyperinflammation - Part 4

Abstract

Base editors enable precise correction of point mutations without requiring DNA double-strand breaks, yet platform– and cell type–specific genotoxicities remain incompletely characterized. Here, we applied cytosine base editing (CBE) to disrupt a cryptic splice-site mutation in the Unc13d locus of Jinx mice, a model of familial hemophagocytic lymphohistiocytosis type 3 (FHL3). Efficient editing (62–89%) in fibroblasts, T cells, and hematopoietic stem cells (HSCs) restored Unc13d splicing, reconstituted cytotoxic T cell function, and protected mice from virus-triggered hyperinflammation after transplantation of edited HSCs. Comparative genotoxicity profiling revealed distinct platform- and cell type–specific patterns: hyperactive CBE induced broader off-target activity and more structural variants than CRISPR–Cas9, particularly in HSCs. While off-target sequence edits persisted, CBE-induced chromosomal translocations largely resolved in vivo. These findings establish therapeutic base editing for a genetically predisposed hyperinflammatory syndrome and underscore the importance of context-specific safety profiling to guide clinical translation of genome editors.

Murine T cells, HSCs and MEF cells were edited using Cas9 nuclease or evoCDA1-BE4max at the Unc13D locus. CAST-Seq was performed to assess the formation of chromosomal translocations between the on-target site and potential off-target sites.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average