{"id":"W4401016855","doi":"10.1016/j.omtm.2024.101305","title":"Characterization of residual microRNAs in AAV vector batches produced in HEK293 mammalian cells and Sf9 insect cells","year":2024,"lang":"en","type":"article","venue":"Molecular Therapy — Methods & Clinical Development","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre hospitalier régional universitaire de Lille; Conseil Régional des Pays de la Loire; Agence Nationale de la Recherche; Centre hospitalier universitaire Sainte-Justine; Centre Hospitalier Universitaire de Nantes; Université de Nantes; Institut National de la Santé et de la Recherche Médicale","keywords":"Sf9; HEK 293 cells; Genetic enhancement; Adeno-associated virus; Vector (molecular biology); microRNA; Gene; Gene delivery; Biology; Virus; Virology; Viral vector; Residual; DNA; Computational biology; Genetics; Recombinant DNA; Computer science","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":[0.0007577051,0.0004838564,0.00039719,0.0003708968,0.0002194238,0.0006438028,0.0003012941,0.0004060767,0.0007418048],"category_scores_gemma":[0.001015247,0.0002574054,0.0003831973,0.00024456,0.0003019883,0.0003211811,0.0002588686,0.0007576325,0.000639111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003204739,"about_ca_system_score_gemma":0.0003146689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008833051,"about_ca_topic_score_gemma":0.001148136,"domain_scores_codex":[0.9991298,0.0001336094,0.0001209484,0.0002033999,0.0003558824,0.00005644495],"domain_scores_gemma":[0.9994423,0.0001850828,0.0001224499,0.00007493618,0.0001327286,0.00004243851],"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":[0.00001855097,0.000005851054,0.0001614777,0.00002304618,0.000005941092,0.00002775577,0.00002241985,0.00001579143,0.9991007,0.00002640064,0.00001229003,0.0005797847],"study_design_scores_gemma":[0.000002585827,0.0001121778,0.003011508,0.000005908273,0.00002780967,0.0002113101,0.00002068587,0.0004231567,0.9937226,0.00002437099,0.002432452,0.00000544858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9108235,0.003065447,0.08050825,0.0001728914,0.0001434739,0.0002738631,0.00167286,0.000475107,0.002864647],"genre_scores_gemma":[0.8893828,0.001937278,0.09038301,0.000244526,0.00004411834,0.0003342169,0.008081446,0.0005070716,0.009085526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008833051,"threshold_uncertainty_score":0.00400722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06367860439141217,"score_gpt":0.4006725751568266,"score_spread":0.3369939707654145,"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."}}