New AI tool predicts gene-editing success in mice, humans
Hsu A, Chen PJ, Li AH, Hemez CF, Gao XD
Crispr
The underlying editing technology, prime editing, is the same molecular toolkit plant breeders increasingly use to tweak crop genes without inserting foreign DNA, so smarter prediction models like this one could eventually speed up disease-resistant or climate-tolerant plant varieties even though this particular study never touches a leaf.
Researchers made a computer program that guesses how well a precise DNA-editing tool will work in a cell before scientists actually try it, saving time and materials. They tested it by fixing a harmful genetic mutation in the brain cells of live mice, showing the prediction tool works in real living tissue, not just in a lab dish.
Key Findings
OptiPrime is a machine learning model that predicts prime editing efficiency with state-of-the-art accuracy, including for advanced PE3 and twinPE editing strategies
The model learned to identify DNA sequence edits that evade the cell's natural mismatch repair system, which normally undoes small edits
Researchers used OptiPrime to achieve efficient correction of a disease mutation in the brain of a live mouse model of a neurological disorder
chevron_right Technical Summary
Scientists built an AI tool called OptiPrime that predicts how well a gene-editing method called prime editing will work before you run the experiment, and used it to correct a disease-causing mutation in a mouse's brain. This is human and mouse medical research with no direct connection to plants.
Abstract Preview
Original paper
Mechanistic machine learning for prediction of prime editing outcomes.
Prime editing (PE) can make specific local changes to genomic DNA in living systems but its efficient application currently requires extensive optimization of PE guide RNA (pegRNA) sequences. Here ...
open_in_new Read full abstractAbstract copyright held by the original publisher.
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Biotechnology is the application of biological organisms and their molecular components, combined with engineering approaches, to develop practical solutions and innovations. In plant science, biotechnology enables genetic improvement of crops, allowing researchers to enhance traits such as yield,
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