{"id":"W4225413323","doi":"10.1016/j.jbc.2022.102010","title":"Follistatin-like 1 (FSTL1) interacts with Wnt ligands and Frizzled receptors to enhance Wnt/β-catenin signaling in obstructed kidneys in vivo","year":2022,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health and Medical Research Fund; School of Medicine, Stanford University; Guangdong Science and Technology Department; Food and Health Bureau; Research Grants Council, University Grants Committee; Glaucoma Research Foundation; Sunnybrook Research Institute; Ministry of Science and Technology of the People's Republic of China; College of Medicine, University of Oklahoma","keywords":"Frizzled; Follistatin; Wnt signaling pathway; LRP6; In vivo; LRP5; Cell biology; Receptor; Signal transduction; Chemistry; Beta-catenin; Autocrine signalling; Biology; Biochemistry; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001718613,0.0003542528,0.000333452,0.000370568,0.0002303206,0.0003338706,0.000165167,0.0003475662,0.001024508],"category_scores_gemma":[0.00009476287,0.0003164719,0.0005670054,0.0001570303,0.0002416824,0.0002088781,0.0002945407,0.0006881652,0.0003647307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004761585,"about_ca_system_score_gemma":0.0002230112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008467562,"about_ca_topic_score_gemma":0.001890974,"domain_scores_codex":[0.9997862,0.00002228026,0.00001618503,0.00005906444,0.00005944151,0.00005681082],"domain_scores_gemma":[0.9999014,0.000008898645,0.00003581848,0.000006786941,0.000008832782,0.00003831681],"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":[0.00006688714,0.000006222559,0.0002208427,0.00002686391,0.000004951763,0.00003316529,0.000008799519,0.00002473579,0.9992796,0.00002657995,0.00002115568,0.0002802628],"study_design_scores_gemma":[0.00003236282,0.0001720135,0.01879964,0.000008243704,0.00004159877,0.0004214831,0.00004502809,0.002199772,0.9751193,0.00004477417,0.003107635,0.000008201344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931305,0.002465672,0.00314429,0.0001400791,0.00003188504,0.00001996664,0.0003898726,0.0001002087,0.000577485],"genre_scores_gemma":[0.9931042,0.001046341,0.001968503,0.0001435078,0.00001280271,0.00002882671,0.0008226477,0.00002777408,0.002845472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001024508,"threshold_uncertainty_score":0.003454745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006603701458002338,"score_gpt":0.2377523309957734,"score_spread":0.2311486295377711,"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."}}