{"id":"W4372349959","doi":"10.3791/65285","title":"Analysis of Transgenerational Epigenetic Inheritance in &lt;em&gt;C. elegans&lt;/em&gt; Using a Fluorescent Reporter and Chromatin Immunoprecipitation (ChIP)","year":2023,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Biology; Epigenetics; RNA interference; Chromatin; Chromatin immunoprecipitation; Genetics; Caenorhabditis elegans; Gene silencing; Gene; Cell biology; RNA; Gene expression; Promoter","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":[0.0003834712,0.000611479,0.0003185573,0.0008287695,0.0004466199,0.0003650591,0.0005805807,0.0004410963,0.002108157],"category_scores_gemma":[0.0001831723,0.0003399698,0.0004003647,0.0003321815,0.0005636619,0.0003073373,0.0003600938,0.001119936,0.0007042056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006518346,"about_ca_system_score_gemma":0.0004649506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003716151,"about_ca_topic_score_gemma":0.007724661,"domain_scores_codex":[0.9997112,0.00001945725,0.00003037569,0.00009466319,0.0001019093,0.00004234682],"domain_scores_gemma":[0.9996153,0.00006965805,0.0001212643,0.00004586206,0.00007003066,0.00007778702],"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":[0.00001879594,0.00001530628,0.0001023387,0.00002682145,0.000003488523,0.00003335447,0.00001107512,0.00003147505,0.9985766,0.0001349622,0.00005194586,0.0009938248],"study_design_scores_gemma":[0.000006175004,0.00005570945,0.004293089,0.00001012442,0.00001091722,0.000110528,0.00001836504,0.0007926039,0.9925604,0.00003323199,0.002101315,0.000007651029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9020079,0.000891977,0.07640122,0.0002511175,0.0001309943,0.000397142,0.008688343,0.001964529,0.009266756],"genre_scores_gemma":[0.9051882,0.001287101,0.0640447,0.000314721,0.00002288597,0.0006995361,0.005863077,0.001109114,0.02147066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003716151,"threshold_uncertainty_score":0.007389009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263572135293847,"score_gpt":0.3538963309268668,"score_spread":0.3275391173974821,"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."}}