ArticlebioRxiv : the preprint server for biology2026
TAG-IN, a swappable strategy for endogenous gene tagging in
Article in bioRxiv : the preprint server for biology, 2026. 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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Authors and funding
7 authors.
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Abstract
Endogenous gene tagging allows researchers to study genes in their native genomic context, underscoring the need for efficient and scalable tagging approaches. Here, we report TAG-IN, a streamlined and swappable strategy for tagging virtually any gene in the
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Registered trials
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