{"id":"W2078576279","doi":"10.1126/scisignal.2000594","title":"Identification of the <i>miR-106b</i> ~ <i>25</i> MicroRNA Cluster as a Proto-Oncogenic <i>PTEN</i> -Targeting Intron That Cooperates with Its Host Gene <i>MCM7</i> in Transformation","year":2010,"lang":"en","type":"article","venue":"Science Signaling","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":410,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"PTEN; microRNA; Biology; Suppressor; Gene; Cancer research; Tumor suppressor gene; Cancer; Intron; Transformation (genetics); Prostate cancer; Three prime untranslated region; Identification (biology); Genetics; Carcinogenesis; Untranslated region; RNA; Signal transduction; PI3K/AKT/mTOR pathway","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":[0.0000999918,0.0002387303,0.0001838628,0.00022871,0.000181688,0.0002999768,0.0001928213,0.000227036,0.0004781421],"category_scores_gemma":[0.0001641518,0.0001680976,0.0002385064,0.0001243027,0.0001814056,0.00009136819,0.0001756988,0.0002310808,0.0004014485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003882049,"about_ca_system_score_gemma":0.0002520499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004862999,"about_ca_topic_score_gemma":0.000979424,"domain_scores_codex":[0.9998796,0.00001715896,0.000005653137,0.00003533612,0.00004485387,0.00001745053],"domain_scores_gemma":[0.999912,0.00001254297,0.00003201407,0.000008157132,0.000007745042,0.0000274992],"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":[0.00004637341,0.000006450421,0.0003986953,0.000009967063,0.000002770632,0.00006087995,0.000005695289,0.0002890085,0.997993,0.0001792323,0.00001996964,0.0009879648],"study_design_scores_gemma":[0.00001334745,0.0001250701,0.006445366,0.000005665967,0.00002297421,0.0004454452,0.00001850212,0.008113755,0.9810799,0.0001722456,0.003548655,0.000009073759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890449,0.0004636149,0.008563371,0.00005123043,0.000009851883,0.00002548997,0.0001800778,0.0001298624,0.00153154],"genre_scores_gemma":[0.9862757,0.0001575834,0.01204145,0.00003730478,0.000003691533,0.00001618808,0.0005011295,0.00003035757,0.0009366919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004862999,"threshold_uncertainty_score":0.002816617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00534562180831021,"score_gpt":0.2290658572393023,"score_spread":0.2237202354309921,"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."}}