{"id":"W4410994202","doi":"10.1016/j.xcrm.2025.102157","title":"Senescence and inflammation are unintended adverse consequences of CRISPR-Cas9/AAV6-mediated gene editing in hematopoietic stem cells","year":2025,"lang":"en","type":"article","venue":"Cell Reports Medicine","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"HORIZON EUROPE European Research Council; European Research Council; HORIZON EUROPE Framework Programme; H2020 European Research Council; Associazione Italiana per la Ricerca sul Cancro; Fondazione Telethon; Deutscher Akademischer Austauschdienst; Princess Margaret Cancer Foundation; Boehringer Ingelheim Fonds; New York Stem Cell Foundation","keywords":"CRISPR; Haematopoiesis; Stem cell; Genome editing; Senescence; Inflammation; Biology; Gene; Genetic enhancement; Cell biology; Immunology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004378135,0.0005168996,0.0003774315,0.0002024876,0.0001896196,0.0005452535,0.0001704812,0.0003563341,0.0009828663],"category_scores_gemma":[0.0003223981,0.0001426722,0.000399555,0.0001066579,0.0004268696,0.0003044815,0.000314224,0.0005670083,0.0002319229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002055015,"about_ca_system_score_gemma":0.0003034275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001899167,"about_ca_topic_score_gemma":0.0003465925,"domain_scores_codex":[0.9995647,0.0001037806,0.00005425729,0.0001008038,0.0001132084,0.00006330152],"domain_scores_gemma":[0.9996774,0.00006447259,0.0001370999,0.0000555824,0.00002967831,0.00003580594],"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":[0.00005672568,0.0000174831,0.0005070558,0.00007511364,0.00001131502,0.0001176934,0.00002018331,0.0001107143,0.9956259,0.0002178048,0.00004073635,0.003199389],"study_design_scores_gemma":[0.000008960744,0.0004684408,0.006278491,0.0000254795,0.00003691296,0.001233225,0.00004985425,0.0008441815,0.9861453,0.0004477923,0.004450306,0.00001122142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9348674,0.01217948,0.04744243,0.0004270003,0.0001956484,0.00008820775,0.0003520626,0.0006601571,0.003787576],"genre_scores_gemma":[0.9915349,0.002526493,0.003814901,0.0001645871,0.00002201502,0.00004401038,0.0001790113,0.00003118735,0.001682924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009828663,"threshold_uncertainty_score":0.00328809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006597038632800289,"score_gpt":0.2605912153988238,"score_spread":0.2539941767660235,"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."}}