{"id":"W4309015237","doi":"10.1093/neuonc/noac209.133","title":"STEM-16. MACROH2A2 REPRESSES AN EPIGENETIC SELF-RENEWAL NETWORK IN GLIOBLASTOMA STEM CELLS","year":2022,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; Hospital for Sick Children; Canada's Michael Smith Genome Sciences Centre; Princess Margaret Cancer Centre; McGill University; University of Calgary","funders":"","keywords":"Epigenetics; Psychological repression; Biology; Gene knockdown; Stem cell; Chromatin; Cancer research; Phenotype; Downregulation and upregulation; Histone; Repressor; Glioblastoma; IRF4; Enhancer; Cell biology; Gene expression; Gene; Genetics; Transcription factor","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008698046,0.0001431191,0.0002031347,0.0001625967,0.0001160418,0.000245797,0.00009757945,0.000127966,0.001494225],"category_scores_gemma":[0.00006279769,0.00007993236,0.0001289766,0.0001087596,0.0001616128,0.00008158387,0.0001271459,0.0002103158,0.0002823871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002161851,"about_ca_system_score_gemma":0.0001288982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004771108,"about_ca_topic_score_gemma":0.001108612,"domain_scores_codex":[0.9999403,0.000009458466,0.00000491062,0.00001308263,0.00002172587,0.00001054454],"domain_scores_gemma":[0.9999369,0.000009172413,0.00001775084,0.000006452694,0.000006534942,0.00002306021],"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":[0.00005236634,0.000007031633,0.0002843129,0.00001473207,0.000004050652,0.00003179482,0.000004172968,0.00004233251,0.9987437,0.00005922079,0.00003945121,0.0007168897],"study_design_scores_gemma":[0.00001479578,0.0002145964,0.01036977,0.000003201026,0.00001099004,0.00017541,0.00002261968,0.0008221052,0.9850819,0.00005321004,0.003228094,0.000003293371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932749,0.001609515,0.001968586,0.0001252302,0.00003412839,0.0000260041,0.0006935846,0.0001031775,0.00216483],"genre_scores_gemma":[0.9961175,0.0002883945,0.0006757841,0.00005551053,0.000006794462,0.00002236595,0.0005396932,0.00001050228,0.00228352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001494225,"threshold_uncertainty_score":0.004998684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014786125436833,"score_gpt":0.24897101861209,"score_spread":0.2388231573577216,"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."}}