{"id":"W2945659966","doi":"10.1021/acsnano.8b09679","title":"Delivery of MicroRNAs by Chitosan Nanoparticles to Functionally Alter Macrophage Cholesterol Efflux <i>in Vitro</i> and <i>in Vivo</i>","year":2019,"lang":"en","type":"article","venue":"ACS Nano","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; Canada Research Chairs; Heart and Stroke Foundation of Canada","keywords":"In vivo; microRNA; ABCA1; Cholesterol; Efflux; Chitosan; In vitro; Cell biology; Macrophage; Gene delivery; Intracellular; Chemistry; Transfection; Biology; Biochemistry; Gene; Transporter; 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":[0.00008964019,0.0001338626,0.0001536936,0.00006403129,0.00001525389,0.00001423389,0.0001160205,0.0001006713,0.00001835274],"category_scores_gemma":[0.00001254628,0.0001388938,0.00003819445,0.0001122465,0.00003581112,0.000009010913,0.0001027581,0.00004525163,0.00001464391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001330702,"about_ca_system_score_gemma":0.00003346485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003096789,"about_ca_topic_score_gemma":0.00002700859,"domain_scores_codex":[0.9990581,0.00004734734,0.000244651,0.0003353209,0.0001037038,0.0002108389],"domain_scores_gemma":[0.9995711,0.00001218128,0.00006246328,0.000258405,0.00002469827,0.00007108098],"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":[0.0002629005,0.00008235004,0.01992455,0.00003249918,0.00001330345,8.218341e-7,0.00002378584,0.00005942265,0.978337,0.000001991614,0.0008668629,0.0003944798],"study_design_scores_gemma":[0.001010893,0.00008896038,0.02394155,0.00002756262,0.000006758862,0.000005457167,0.0000108722,0.000009780004,0.9716022,0.000004690204,0.003155645,0.0001356065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986784,0.0006047707,0.00001178034,0.00009634571,0.0000782555,0.0002992584,0.00007641561,0.000004629007,0.0001501341],"genre_scores_gemma":[0.9988397,0.00004324655,0.0001696651,0.0006105131,0.00003534603,0.00001742836,0.00005375241,0.00001997109,0.0002103911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006734803,"threshold_uncertainty_score":0.5663924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003019408310319789,"score_gpt":0.1994930354899598,"score_spread":0.19647362717964,"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."}}