{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003224217,0.0001395535,0.0002488168,0.0001139054,0.00002516908,0.000003253031,0.00006072893,0.0001094278,0.000008704701],"category_scores_gemma":[0.0001353356,0.0001262996,0.0000274344,0.0001707696,0.0002359696,0.000003616805,0.00005677382,0.00008571317,3.637704e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000129563,"about_ca_system_score_gemma":0.00006844835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005400303,"about_ca_topic_score_gemma":0.00003114226,"domain_scores_codex":[0.9988561,0.00002915844,0.000528139,0.0002922475,0.0001289489,0.0001653518],"domain_scores_gemma":[0.9993001,0.00003006998,0.0002428557,0.0002549613,0.0001107499,0.00006124948],"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":[0.00001248427,0.00001205558,0.01170277,0.000279558,0.00001141173,0.0001363822,0.0002226627,0.000307359,0.9867059,0.000007187685,0.0002389991,0.0003632297],"study_design_scores_gemma":[0.0004216169,0.00005667355,0.002480205,0.0003474145,0.00002718155,0.00007296471,0.001995075,0.0001951595,0.9934616,0.00004062977,0.0008002362,0.0001012475],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901025,0.002838947,0.005291979,0.0003188036,0.0004440409,0.0002165499,0.000002366608,0.00001304013,0.0007717341],"genre_scores_gemma":[0.9987962,0.0004960204,0.0001544077,0.00005217135,0.00009515557,0.000009336575,0.00002634002,0.000009071656,0.0003612556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009222561,"threshold_uncertainty_score":0.5150346,"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."}}