{"id":"W2032933113","doi":"10.3389/fbioe.2015.00014","title":"Targeting Cell Cycle Proteins in Breast Cancer Cells with siRNA by Using Lipid-Substituted Polyethylenimines","year":2015,"lang":"en","type":"article","venue":"Frontiers in Bioengineering and Biotechnology","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Cure Brain Cancer Foundation; Alberta Innovates; Alberta Innovates - Health Solutions; Women and Children's Health Research Institute; Children's Health Research Institute","keywords":"Cell cycle; Small interfering RNA; Biology; Cancer research; Cell biology; RNA interference; Cell cycle checkpoint; CDC20; Cancer cell; Gene silencing; Cell; Cancer; Biochemistry; Transfection; RNA","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":[0.0002320976,0.0003466526,0.0002795604,0.000176736,0.0001071541,0.0002540551,0.0002017128,0.0003454144,0.0005389436],"category_scores_gemma":[0.0001323548,0.0001532751,0.0002080774,0.0001477498,0.0001450984,0.0001922502,0.0001536065,0.000327123,0.0002865417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003013484,"about_ca_system_score_gemma":0.0001815809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004156298,"about_ca_topic_score_gemma":0.0008069175,"domain_scores_codex":[0.9998553,0.00002593153,0.00001794694,0.00003974714,0.00003984187,0.00002119031],"domain_scores_gemma":[0.9999298,0.00002006404,0.00002059736,0.000008938074,0.00001184056,0.000008781327],"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":[0.0000242003,0.00001032697,0.00001988698,0.00002250085,0.000001870913,0.00001434856,0.000007167259,0.00004582903,0.9990651,0.00004576063,0.00001249878,0.0007305166],"study_design_scores_gemma":[0.000006944527,0.0001462791,0.0002813334,0.000001829235,0.00000543794,0.00004643014,0.000003162884,0.000452809,0.9979024,0.000009338219,0.001142055,0.000001952455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793205,0.003772692,0.01200755,0.000147341,0.00004791022,0.0001718902,0.0003268055,0.0002393134,0.003966032],"genre_scores_gemma":[0.9729035,0.002471332,0.01795367,0.0001631144,0.00001210236,0.0002424957,0.0006357108,0.00005255101,0.005565462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005389436,"threshold_uncertainty_score":0.002186418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005542985038236204,"score_gpt":0.1975264402325198,"score_spread":0.1919834551942836,"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."}}