{"id":"W4410521520","doi":"10.1038/s41551-025-01399-4","title":"Treatment of a metabolic liver disease in mice with a transient prime editing approach","year":2025,"lang":"en","type":"article","venue":"Nature Biomedical Engineering","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acuitas Therapeutics (Canada)","funders":"National Institute of Allergy and Infectious Diseases; Universität Zürich; Novartis Stiftung für Medizinisch-Biologische Forschung; Eidgenössische Technische Hochschule Zürich; Staatssekretariat für Bildung, Forschung und Innovation; Novartis Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Institutes of Health; National Science Foundation","keywords":"Genome editing; RNA editing; RNA; Messenger RNA; Locus (genetics); In vivo; Molecular biology; Computational biology; Chemistry; Biology; Gene; Genetics; Biochemistry; Genome","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003847257,0.000805175,0.0005381259,0.0006021428,0.0002110963,0.0004044734,0.0003546689,0.0008787069,0.002066287],"category_scores_gemma":[0.0002013631,0.0002909581,0.0005318571,0.0001872014,0.0004766874,0.0003106463,0.0002652424,0.001398252,0.0005132889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002962598,"about_ca_system_score_gemma":0.0002455914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003647856,"about_ca_topic_score_gemma":0.0005222223,"domain_scores_codex":[0.9996675,0.00005543637,0.00003109615,0.00009675681,0.00008152606,0.00006770335],"domain_scores_gemma":[0.9997087,0.00006235091,0.00009179652,0.00004635887,0.00002344454,0.00006728029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002028291,0.0000716667,0.00006649936,0.00003654113,0.000009528714,0.00007684008,0.00001479513,0.000132928,0.997269,0.0001945596,0.00008032154,0.001844603],"study_design_scores_gemma":[0.00005051283,0.001152668,0.0004861339,0.000006693728,0.00002174737,0.000247456,0.00001079618,0.0009487097,0.9941403,0.00005951263,0.002866606,0.000008773067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9396088,0.001225659,0.05025319,0.0005502554,0.0002350071,0.000434138,0.00159825,0.001958795,0.004135832],"genre_scores_gemma":[0.9643111,0.0009810771,0.02235253,0.000235529,0.00003881867,0.000561838,0.001002165,0.0002136298,0.01030324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002066287,"threshold_uncertainty_score":0.00691241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002291410172772034,"score_gpt":0.2384732232663218,"score_spread":0.2361818130935498,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}