The delivery of genetically encoded fluorescent sensors via adeno-associated viral vectors (AAVs) enables the quantification of biological analytes with high spatiotemporal resolution in living animals. In this study, we expose an unreported problem of the approach, in which the presence of repeated subsequences in the sensor's DNA sequence triggers recombination during AAV production. In the case of Förster Resonance Energy Transfer (FRET) sensors, recombination leads to a mixture of fluorescent products, severely compromising in vivo functionality. To counter this phenomenon, we introduce Abundance-Biased Codon Diversification (ABCD), a modification of a previously reported codon diversification method that prevents recombination without sacrificing codon optimization for a target organism. We demonstrate that ABCD greatly facilitates in vivo studies by restoring the functionality of FRET sensors and advanced inducible expression systems delivered via AAV vectors. Our approach offers a robust solution to a previously overlooked challenge, significantly expanding the range of future applications in quantitative imaging and genetic manipulation in living animals using AAV-mediated strategies.
Abundance-biased codon diversification prevents recombination in AAV production and ensures robust in vivo expression of functional FRET sensors.
丰度偏向密码子多样化可防止 AAV 生产中的重组,并确保功能性 FRET 传感器在体内稳定表达
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作者:Dernic Jan, Eleftheriou Afroditi, Vasilikos Lazaros, Rauch Melanie, Imseng Pascal, Zanker Henri S, Looser Zoe J, Meister Rachel M, Velasquez Moros Felipe, Kagan Tomer, Laviv Tal, Paterna Jean-Charles, Arand Michael, Saab Aiman S, Weber Bruno, Ravotto Luca
| 期刊: | Communications Biology | 影响因子: | 5.100 |
| 时间: | 2025 | 起止号: | 2025 Aug 19; 8(1):1244 |
| doi: | 10.1038/s42003-025-08677-6 | ||
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