{"id":"W2966258113","doi":"10.1016/j.celrep.2019.06.097","title":"Histone Recycling by FACT and Spt6 during Transcription Prevents the Scrambling of Histone Modifications","year":2019,"lang":"en","type":"article","venue":"Cell Reports","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Compute Canada","keywords":"Epigenomics; Histone; Histone methylation; Histone code; Epigenome; Nucleosome; Transcription (linguistics); Biology; Cell biology; Histone H2A; Genetics; Chemistry; DNA methylation; DNA; Gene expression; 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":[0.0001623279,0.0002999891,0.0002376036,0.0001071293,0.0001519224,0.0003717003,0.0003121554,0.0003128373,0.0007031336],"category_scores_gemma":[0.0002148339,0.0001490681,0.0003198299,0.0001454835,0.00028283,0.0002518832,0.0002636078,0.0005848962,0.0004440884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002140304,"about_ca_system_score_gemma":0.0001810626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005403393,"about_ca_topic_score_gemma":0.0007208964,"domain_scores_codex":[0.9998291,0.00002461911,0.00002125748,0.00005411164,0.00004441823,0.00002646535],"domain_scores_gemma":[0.9998022,0.00002848012,0.00006549318,0.00004613913,0.00001987222,0.0000378087],"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":[0.00008060579,0.000006740871,0.00030618,0.00003640513,0.000008041711,0.00005797961,0.00001044048,0.00007524437,0.9974719,0.00014076,0.0000313533,0.001774341],"study_design_scores_gemma":[0.000006671192,0.00007521988,0.001552084,0.000003596684,0.000008281761,0.0002997588,0.00001054481,0.0006365964,0.995231,0.00004282692,0.002129793,0.000003657827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824531,0.003237416,0.01268584,0.0001698181,0.00006457959,0.00001525665,0.0004426189,0.0001359666,0.0007954481],"genre_scores_gemma":[0.9920374,0.0008710157,0.004514397,0.00005035202,0.00001356667,0.00001195726,0.0007613426,0.00004616112,0.001693835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007031336,"threshold_uncertainty_score":0.002352178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007632300766194903,"score_gpt":0.2459904189663054,"score_spread":0.2383581182001105,"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."}}