{"id":"W3036745223","doi":"10.1007/s12015-020-09986-5","title":"Immortalization of Mesenchymal Stromal Cells by TERT Affects Adenosine Metabolism and Impairs their Immunosuppressive Capacity","year":2020,"lang":"en","type":"article","venue":"Stem Cell Reviews and Reports","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Mesenchymal stem cell; Purinergic receptor; Adenosine deaminase; Cell biology; Stromal cell; Extracellular; Biology; Purinergic signalling; Adenosine; Regenerative medicine; Immortalised cell line; Stem cell; Cell; Cancer research; Biochemistry; Adenosine receptor","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002081514,0.0003298627,0.000314295,0.00029349,0.0001392128,0.0004669863,0.0001912372,0.0002978605,0.001785923],"category_scores_gemma":[0.000208846,0.0001430778,0.0004058997,0.0002270494,0.0002506715,0.0002645603,0.0001776072,0.0006103413,0.0007132282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008613682,"about_ca_system_score_gemma":0.0001297849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001727013,"about_ca_topic_score_gemma":0.0001324221,"domain_scores_codex":[0.9997233,0.00006907045,0.00003765581,0.00003331776,0.0000599447,0.00007678078],"domain_scores_gemma":[0.9997877,0.00006323327,0.00005155617,0.00004267953,0.00001713359,0.00003762147],"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":[0.00008540621,0.00001198741,0.00009978115,0.00001482895,0.000004789948,0.00007241953,0.00001070627,0.00003268425,0.998679,0.0001053402,0.00003174883,0.0008512961],"study_design_scores_gemma":[0.000008137441,0.0001239953,0.001444858,0.000002803366,0.0000199227,0.000343666,0.00003355377,0.0002359746,0.9949065,0.00007175971,0.002804983,0.000003799561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873853,0.003773371,0.004964032,0.0002593788,0.0001631712,0.00002236176,0.0004820892,0.0001561246,0.002794183],"genre_scores_gemma":[0.9933423,0.002566962,0.001176721,0.000088963,0.00004524625,0.00002302314,0.0006359649,0.00004475849,0.002076006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001785923,"threshold_uncertainty_score":0.005974531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02657520256714302,"score_gpt":0.2551237610883719,"score_spread":0.2285485585212289,"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."}}