A new tool to predict the chances of successfully inserting a gene-edited sequence of DNA into the genome of a cell, using a technique known as prime editing, has been developed by researchers at the Wellcome Sanger Institute.
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Pierre-Luc Jellimann 's curator insight,
October 26, 2022 9:01 AM
Découverte d'un vaccin thérapeutique utilisant les cellules cancéreuses (dénaturées) du patient afin d'entrainer le SI à reconnaitre et à éradiquer les cellules cancéreuses + mise en place d'une mémoire immunitaire sur plusieurs mois. Effet concluant chez des souris ayant un mélanome.
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An evolution of the CRISPR-Cas9 gene editing technology, master editing has enormous potential to treat genetic diseases in humans. However, to date, the factors determining successful editing are not well understood. A new tool to predict the chances of successfully inserting a gene-edited DNA sequence into the genome of a cell has been developed by researchers. The study, published in Nature Biotechnology, evaluated thousands of different DNA sequences inserted into the genome using master editors. This data was then used to train a machine learning algorithm to help researchers design the best solution for a given genetic defect, promising to speed up efforts to introduce master editing into the clinic. Sequence length proved to be a key factor, as was the type of DNA repair mechanism involved. The next steps for the team will be to create models for all known human genetic diseases to better understand if and how they can be corrected using master editing.