{"id":"W4399087850","doi":"10.1038/s41587-024-02266-4","title":"Enhancing prime editing in hematopoietic stem and progenitor cells by modulating nucleotide metabolism","year":2024,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Harvard Stem Cell Institute; Broad Institute; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; American-Italian Cancer Foundation; St. Jude Children's Research Hospital; Fred Hutchinson Cancer Research Center; Doris Duke Charitable Foundation; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Progenitor cell; Haematopoiesis; Stem cell; Nucleotide; Cell biology; Prime (order theory); Biology; Metabolism; Progenitor; Biochemistry; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002929863,0.000319308,0.00029141,0.0001852609,0.0002030487,0.0007816602,0.0004335092,0.0003903723,0.001965073],"category_scores_gemma":[0.0002685205,0.0001937245,0.0001945327,0.0001399357,0.0002598939,0.0002519779,0.0003436605,0.000873312,0.0004371729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003368876,"about_ca_system_score_gemma":0.0002668664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004672964,"about_ca_topic_score_gemma":0.0008683189,"domain_scores_codex":[0.9998412,0.00002642507,0.00001246255,0.00004387717,0.00004682743,0.00002914519],"domain_scores_gemma":[0.9998392,0.00005704903,0.00003336163,0.00002444336,0.00001470966,0.00003122108],"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":[0.00006642138,0.0000140555,0.0000794002,0.00002405049,0.000003763249,0.00004859232,0.00001334972,0.0001762174,0.9962287,0.0008191752,0.00005200404,0.002474298],"study_design_scores_gemma":[0.000006173217,0.00003631265,0.000208785,0.000002201922,0.000007100547,0.00007181536,0.000006775887,0.001044358,0.9960409,0.0001460099,0.002426293,0.000003113261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9372025,0.001594128,0.05096561,0.0004284901,0.0001576524,0.00008327037,0.0005764909,0.0008845267,0.008107451],"genre_scores_gemma":[0.9805361,0.000539444,0.01390976,0.00008283772,0.00001383067,0.00002599207,0.0002667051,0.00013176,0.00449365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001965073,"threshold_uncertainty_score":0.006573856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002158548803081159,"score_gpt":0.2444653905230191,"score_spread":0.242306841719938,"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."}}