{"id":"W4237864178","doi":"10.1074/jbc.m109.099952","title":"TNFα and IFNγ Synergistically Enhance Transcriptional Activation of CXCL10 in Human Airway Smooth Muscle Cells via STAT-1, NF-κB, and the Transcriptional Coactivator CREB-binding Protein","year":2010,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Cytokine Signaling Pathways and Interactions","field":"Medicine","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Biotechnology and Biological Sciences Research Council; Imperial College London; GlaxoSmithKline","keywords":"CXCL10; CREB; stat; Tumor necrosis factor alpha; CREB-binding protein; Coactivator; Chemokine; Interferon; Cancer research; Signal transduction; Transcription factor; Cell biology; Biology; Immunology; Chemistry; Inflammation; STAT3; Biochemistry","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":[0.0003215947,0.0005312286,0.0004110286,0.0002941156,0.0001787537,0.0003061106,0.0001488768,0.0002447772,0.002392073],"category_scores_gemma":[0.0001460775,0.000240561,0.0005599868,0.0002449457,0.0002557113,0.0001630191,0.0002945185,0.0006712887,0.0006559948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002862359,"about_ca_system_score_gemma":0.0003556369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042836,"about_ca_topic_score_gemma":0.001535972,"domain_scores_codex":[0.9995835,0.00008451602,0.00004675959,0.00006462602,0.00009485135,0.0001258031],"domain_scores_gemma":[0.9998775,0.00002870401,0.00002049883,0.00001836261,0.00001474286,0.00004014639],"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":[0.001082344,0.0002056205,0.0003787679,0.0001156708,0.00001254486,0.00008294599,0.00006910834,0.00008013398,0.9960025,0.0000394321,0.0001319086,0.001799008],"study_design_scores_gemma":[0.0002696606,0.002748251,0.01454851,0.00002453266,0.00006191141,0.0003931816,0.0001619933,0.001479407,0.9742042,0.00007328733,0.006024505,0.00001054223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914483,0.003603016,0.001520354,0.0002560112,0.0001970959,0.00009584147,0.0007801482,0.00007570356,0.002023487],"genre_scores_gemma":[0.9912849,0.001635477,0.001855701,0.0001696363,0.00006334053,0.0001447464,0.001279148,0.00001166669,0.003555377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002392073,"threshold_uncertainty_score":0.008002341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699633414274039,"score_gpt":0.2640890920261298,"score_spread":0.2470927578833895,"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."}}