{"id":"W2733060293","doi":"10.1016/j.celrep.2017.06.009","title":"Exosomes Mediate Mobilization of Autocrine Wnt10b to Promote Axonal Regeneration in the Injured CNS","year":2017,"lang":"en","type":"article","venue":"Cell Reports","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Krembil Foundation; University Health Network; University of Toronto; Canada Research Chairs","funders":"Canadian Institutes of Health Research; Krembil Foundation; Heart and Stroke Foundation of Canada","keywords":"Microvesicles; Regeneration (biology); PI3K/AKT/mTOR pathway; Neurite; Cell biology; Biology; Myelin; Axon; Ectodomain; Exosome; Paracrine signalling; Autocrine signalling; Signal transduction; Neuroscience; Cancer research; microRNA; Central nervous system; Receptor","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":[0.0002081806,0.000333099,0.0002127644,0.0002981011,0.0001817661,0.0005166664,0.000118302,0.0002700687,0.001392858],"category_scores_gemma":[0.0001101161,0.0001202421,0.0003189505,0.0001052229,0.0002422049,0.0004431817,0.0004607144,0.0004611001,0.000417858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002928796,"about_ca_system_score_gemma":0.0003370693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003582076,"about_ca_topic_score_gemma":0.0009459377,"domain_scores_codex":[0.9998735,0.00002068095,0.00001260075,0.00001838343,0.00003853855,0.00003628315],"domain_scores_gemma":[0.9999436,0.000007809339,0.00001531142,0.000005964205,0.000007447262,0.00001997432],"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":[0.0001248418,0.00002934249,0.0003267401,0.00008392124,0.000009675064,0.0002558994,0.00003991335,0.00004265998,0.9940932,0.0004341358,0.0001359009,0.004423751],"study_design_scores_gemma":[0.00003096654,0.0001435846,0.005306253,0.00002440814,0.00002666015,0.0007234833,0.00009560987,0.0004750938,0.9853957,0.0001682223,0.007604148,0.000005763545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839975,0.004890769,0.006305756,0.0003804435,0.0001296174,0.00006700482,0.0005489513,0.0001450654,0.003534843],"genre_scores_gemma":[0.9879149,0.00365097,0.003658575,0.00008578094,0.00003099624,0.00005078002,0.000318963,0.00003532133,0.004253676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001392858,"threshold_uncertainty_score":0.004659593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03658928433497865,"score_gpt":0.2963898501495348,"score_spread":0.2598005658145562,"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."}}