{"id":"W2921207188","doi":"10.1080/14756366.2019.1587416","title":"CRISPR/Cas9-based liver-derived reporter cells for screening of mPGES-1 inhibitors","year":2019,"lang":"en","type":"article","venue":"Journal of Enzyme Inhibition and Medicinal Chemistry","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"Medical Innovation Project of Fujian Province; Natural Science Foundation of Fujian Province","keywords":"Flow cytometry; CRISPR; Cas9; Inflammation; Reporter gene; Immunofluorescence; High-throughput screening; Fluorescence; Molecular biology; Biology; Chemistry; Cancer research; Cell biology; Biochemistry; Gene; Gene expression; Immunology; Antibody","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003321251,0.0001341639,0.0002411376,0.00004419502,0.00002434356,0.000008604487,0.00005728807,0.000139564,0.00004895684],"category_scores_gemma":[0.00009684407,0.0001203628,0.0001530113,0.00004394132,0.00005786198,0.00000646326,0.00002297214,0.0001205441,2.853397e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001000065,"about_ca_system_score_gemma":0.00007855333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002346799,"about_ca_topic_score_gemma":5.99156e-7,"domain_scores_codex":[0.9990083,0.00001159927,0.0004733175,0.000161421,0.0001970678,0.0001482923],"domain_scores_gemma":[0.9991115,0.00003177419,0.0003592093,0.0001346982,0.000235057,0.0001277651],"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":[0.000216408,0.00003701518,0.0002576138,0.0003365938,0.00003395189,0.00001433597,0.00003711746,0.0002960738,0.9957943,9.005734e-7,0.002241851,0.0007338584],"study_design_scores_gemma":[0.001638038,0.0004632415,0.0001690298,0.0003119988,0.00005497029,0.0002028219,0.0002688987,0.0002720767,0.9905004,0.000005887779,0.00598823,0.0001244003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658067,0.001473596,0.03205014,0.0001279373,0.0001768109,0.0001223215,0.00001087965,0.000003655482,0.0002279855],"genre_scores_gemma":[0.9965966,0.0001205942,0.002412183,0.0001375364,0.0004937283,0.000002938796,0.00002515192,0.00001643339,0.00019482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03078994,"threshold_uncertainty_score":0.4908251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0086909725005621,"score_gpt":0.2731167711729139,"score_spread":0.2644257986723518,"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."}}