{"id":"W4321786118","doi":"10.1038/s41392-023-01346-2","title":"From tuberculosis bedside to bench: UBE2B splicing as a potential biomarker and its regulatory mechanism","year":2023,"lang":"en","type":"article","venue":"Signal Transduction and Targeted Therapy","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Public Health Ontario; University of Toronto; University Health Network","funders":"West China Hospital, Sichuan University; Peking University; Sichuan University; Tsinghua University; National Natural Science Foundation of China","keywords":"RNA splicing; Mycobacterium tuberculosis; Tuberculosis; Biology; Biomarker; Intron; Transcriptome; Exon; Computational biology; Alternative splicing; Proteome; Genetics; Bioinformatics; Medicine; RNA; Gene; Gene expression; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001923631,0.0006271451,0.0008666822,0.0008545797,0.0004119267,0.001714255,0.0005084387,0.001010796,0.001620309],"category_scores_gemma":[0.002174911,0.0002730896,0.0005709336,0.0008769091,0.0004597334,0.0007795718,0.0006896421,0.001001242,0.0006259579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004286411,"about_ca_system_score_gemma":0.0005391753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008165886,"about_ca_topic_score_gemma":0.001655625,"domain_scores_codex":[0.9990156,0.0002541636,0.00007476388,0.0003709623,0.0001978205,0.00008665618],"domain_scores_gemma":[0.9989257,0.0003168445,0.0002406186,0.000104849,0.0003006715,0.0001112239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002708114,0.0003137568,0.5099651,0.002491349,0.0008472087,0.001720655,0.0007151908,0.003223467,0.2264231,0.002726064,0.01444974,0.2344163],"study_design_scores_gemma":[0.0002428372,0.002963615,0.4635178,0.001340628,0.002204549,0.01208948,0.001992707,0.03592132,0.3282969,0.01983562,0.1313247,0.0002699126],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8351636,0.09443785,0.04616414,0.007592076,0.0009610587,0.0001295756,0.00784733,0.0008067096,0.006897646],"genre_scores_gemma":[0.9477376,0.01121643,0.02916326,0.003464619,0.0006821991,0.0001154911,0.004853318,0.0001582937,0.002608782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001923631,"threshold_uncertainty_score":0.01017326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542591625548793,"score_gpt":0.2454315605640061,"score_spread":0.2300056443085182,"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."}}