{"id":"W2999561768","doi":"10.1101/2020.01.08.898338","title":"Dissecting the roles of GRK2 and GRK3 in μ-opioid receptor internalization and β-arrestin2 recruitment using CRISPR/Cas9-edited HEK293 cells","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Canadian Institutes of Health Research; Novo Nordisk Fonden; Oticon Fonden; Novo Nordisk; H. Lundbeck A/S; Lundbeckfonden; European Commission; Toyota Foundation","keywords":"Internalization; Beta adrenergic receptor kinase; G protein-coupled receptor kinase; G protein-coupled receptor; Arrestin; Cell biology; CRISPR; Agonist; Gene knockdown; Receptor; Biology; Chemistry; Pharmacology; Signal transduction; Biochemistry; Gene","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":[0.0002858794,0.0003487934,0.000511903,0.0002155314,0.0002813484,0.0006628399,0.0005233016,0.0007067571,0.002109043],"category_scores_gemma":[0.0002354892,0.000258174,0.0005831737,0.0002145146,0.0003538034,0.0002366014,0.0003925332,0.00154167,0.001579806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004497647,"about_ca_system_score_gemma":0.0003777391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140408,"about_ca_topic_score_gemma":0.00151985,"domain_scores_codex":[0.9996717,0.00002748572,0.0000452785,0.00008150347,0.0001106637,0.00006334815],"domain_scores_gemma":[0.9998372,0.00003202902,0.00004720167,0.00002692786,0.00002239885,0.00003426866],"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":[0.00007794204,0.00001768139,0.0001713862,0.00007196303,0.00000895488,0.000110007,0.00003650583,0.000265744,0.997693,0.0003450469,0.0001826594,0.001019155],"study_design_scores_gemma":[0.00003487222,0.00008174611,0.002289575,0.00001776678,0.00003183126,0.000481429,0.00007054379,0.005482969,0.9794103,0.0001496957,0.0119274,0.00002183347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9105335,0.00262589,0.06694793,0.0007520287,0.0004364666,0.0002640297,0.009060464,0.001568804,0.007810791],"genre_scores_gemma":[0.9590954,0.001057529,0.0276763,0.0002980764,0.00001687686,0.0002482911,0.003729026,0.0003266618,0.007551854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002109043,"threshold_uncertainty_score":0.007055461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742532649789722,"score_gpt":0.2533044848954396,"score_spread":0.2258791583975423,"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."}}