{"id":"W2066652018","doi":"10.1038/ncomms6413","title":"MNKs act as a regulatory switch for eIF4E1 and eIF4E3 driven mRNA translation in DLBCL","year":2014,"lang":"en","type":"article","venue":"Nature Communications","topic":"PI3K/AKT/mTOR signaling in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Weill Cornell Medical College; National Institute on Alcohol Abuse and Alcoholism; Novartis Institutes for BioMedical Research; National Cancer Institute; National Institutes of Health; Memorial Sloan-Kettering Cancer Center; U.S. Department of Veterans Affairs","keywords":"EIF4E; Translation (biology); Messenger RNA; Biology; Cell biology; Eukaryotic translation; Phosphorylation; Translational regulation; Cancer research; Diffuse large B-cell lymphoma; Lymphoma; Genetics; Immunology; Gene","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":[0.0001206461,0.0002070341,0.000169128,0.0001921472,0.0001768436,0.0003152577,0.0001106868,0.0001691141,0.0009153574],"category_scores_gemma":[0.00009628064,0.0001412709,0.0001608474,0.0001330224,0.0002355004,0.0002015212,0.0002185448,0.0002534399,0.0002420846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005205391,"about_ca_system_score_gemma":0.0001432264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005853496,"about_ca_topic_score_gemma":0.001107485,"domain_scores_codex":[0.9999086,0.00001482087,0.000008689603,0.00002242227,0.00002127933,0.00002411423],"domain_scores_gemma":[0.9999629,0.000006211145,0.00001209867,0.00000412195,0.000003678782,0.00001101964],"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":[0.0001889071,0.000007017117,0.0006339196,0.00002179559,0.000002521139,0.00003831667,0.000008088823,0.00008209222,0.9978422,0.0001319619,0.00002028951,0.001022917],"study_design_scores_gemma":[0.00002858321,0.0001098579,0.02390187,0.000004622009,0.00001098049,0.0002672469,0.00003606069,0.001197045,0.9716427,0.0001561202,0.00263896,0.000005846886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960163,0.001369578,0.001372202,0.00006690712,0.00001560817,0.000009236463,0.0001805586,0.00006518032,0.00090444],"genre_scores_gemma":[0.9976107,0.0003254084,0.001037318,0.00002891844,0.000003825739,0.000009147593,0.0001552765,0.00001045793,0.0008190916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009153574,"threshold_uncertainty_score":0.003776789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602621860339634,"score_gpt":0.313640844476893,"score_spread":0.2976146258734966,"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."}}