{"id":"W4283524841","doi":"10.1101/2022.06.22.497227","title":"Clearance of defective muscle stem cells by senolytics reduces the expression of senescence-associated secretory phenotype and restores myogenesis in myotonic dystrophy type 1","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université du Québec à Chicoutimi; Université de Sherbrooke; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Fonds de Recherche du Québec - Santé; Mitacs; Canadian Institutes of Health Research; Courtois Foundation; Fonds Québécois de la Recherche sur la Nature et les Technologies; Myotonic Dystrophy Foundation","keywords":"Myogenesis; Myotonic dystrophy; Biology; Senescence; Myocyte; Cell biology; Skeletal muscle; Muscle atrophy; Phenotype; Stem cell; Cancer research; Telomere; Endocrinology; Genetics; 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":[0.0001787789,0.0003357756,0.0004348068,0.0003263791,0.0001266781,0.0001941552,0.0001623404,0.0001988262,0.001328793],"category_scores_gemma":[0.00009382764,0.0001186313,0.000234918,0.0001194969,0.0001653913,0.0001142247,0.0001638,0.0004450693,0.0002808041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058987,"about_ca_system_score_gemma":0.0001357285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002440205,"about_ca_topic_score_gemma":0.0004214126,"domain_scores_codex":[0.9999046,0.00002115687,0.00001755592,0.00001495413,0.00002095989,0.00002069288],"domain_scores_gemma":[0.999895,0.00001717553,0.00002860897,0.00001279266,0.00001092458,0.00003551373],"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":[0.0001890145,0.00006826238,0.0001730079,0.00003649145,0.000007322126,0.00003029737,0.000008761564,0.00003871336,0.9982781,0.00002442786,0.00001966067,0.001125851],"study_design_scores_gemma":[0.00004020732,0.002028622,0.008357798,0.00001094504,0.000026252,0.0002496045,0.00003752137,0.0005839894,0.9872404,0.00002987983,0.001390935,0.000003827219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971514,0.001316217,0.0007931184,0.00003217099,0.00001786883,0.00002230354,0.0002069739,0.00006268535,0.0003973538],"genre_scores_gemma":[0.9962544,0.0008307544,0.0008088309,0.00003953954,0.00000892423,0.00003316621,0.0004333772,0.00001458192,0.001576323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001328793,"threshold_uncertainty_score":0.004445255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875672728168758,"score_gpt":0.2218523118276144,"score_spread":0.2030955845459268,"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."}}