{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004711282,0.0001390376,0.0003496281,0.00004784254,0.00008367579,0.00001951363,0.00008440155,0.0001744288,0.000380336],"category_scores_gemma":[0.0002235837,0.00008464544,0.0001234936,0.00008564186,0.0004003173,0.00009710473,0.0000133128,0.0008227553,2.852218e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003404558,"about_ca_system_score_gemma":0.00006909065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001216055,"about_ca_topic_score_gemma":0.000001651955,"domain_scores_codex":[0.9988509,0.00004442563,0.0005559647,0.000170323,0.0002314855,0.0001469017],"domain_scores_gemma":[0.9991422,0.0002087398,0.0002876669,0.00008700934,0.0001579736,0.0001163838],"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":[0.0008254552,0.0002670283,0.000276271,0.0000741406,0.0000318539,0.000007480394,0.00009887927,0.000003588871,0.9971141,0.0004027813,0.00001490387,0.0008835366],"study_design_scores_gemma":[0.002179336,0.0003016815,0.008800165,0.000221813,0.00003316882,0.00007852177,0.0001458896,0.00008599984,0.9868449,0.0004436882,0.0007689903,0.00009582166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976946,0.00005952512,0.0009379532,0.0007482201,0.00005916264,0.0001658789,0.00002540995,0.000006433032,0.0003028061],"genre_scores_gemma":[0.9987804,0.00003262097,0.0008393403,0.00005306321,0.0001881573,0.000009311819,0.00001221819,0.000007885651,0.00007694727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01026916,"threshold_uncertainty_score":0.4164413,"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."}}