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Synthetic fusion promoters improve balanced transgene expression in rods and cones in retinal gene therapy preprint

A bioRxiv preprint describes two engineered fusion promoters — Pikali and Nocchu — that drive broader and more balanced transgene expression across both rod and cone photoreceptors than existing options, a longstanding challenge in retinal gene therapy research.

Published · AI-drafted summary based on 1 public source
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Achieving efficient transgene expression across both rod and cone photoreceptors is a persistent challenge in retinal gene therapy research. Current promoter constructs tend either to lack cell-type specificity or to provide insufficient coverage of both photoreceptor types at adequate expression levels. A preprint posted to bioRxiv in June 2026 describes two synthetic fusion promoters, designated Pikali and Nocchu, generated by combining PR1.7 (a cone-specific promoter) with GRK1 (a promoter most active in rods).

The authors report that both fusion promoters outperformed their parental constructs in driving GFP expression across rods and cones in human iPSC-derived retinal organoids. If confirmed after peer review, the findings could inform the design of future photoreceptor-targeted gene therapy vectors for inherited retinal dystrophies, a group of conditions caused by single-gene defects affecting the retina.

The work is of primary interest to researchers in retinal gene therapy, ocular genetics, and vector biology. Educators and students studying gene therapy delivery mechanisms may also find the promoter engineering approach instructive. The preprint has not yet been peer-reviewed.

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  1. Primary sourcePreprint bioRxiv (Cold Spring Harbor Laboratory) · 2026-06-09
    Promfusion: a synthetic fusion promoter enabling enhanced and balanced photoreceptor transgene expression

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retinal-gene-therapy photoreceptors promoter-engineering ipsc inherited-retinal-dystrophy vector-biology preprint
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Genetic Current is the news section of Evagene, an academic, research, and educational pedigree-modelling platform. Stories are AI-drafted summaries of items from trusted public sources, written for researchers, clinicians, educators, students, genealogists, and patients with an interest in genetics. Summaries are for educational and research purposes only and are not medical advice.

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