{"id":"W4410860654","doi":"10.1038/s41467-025-60001-2","title":"Efficient mRNA delivery to resting T cells to reverse HIV latency","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Infection and Immunity; Medical Research Council; amfAR, The Foundation for AIDS Research; National Institute of Allergy and Infectious Diseases; National Health and Medical Research Council; Australian Centre for HIV and Hepatitis Virology Research; Delaney AIDS Research Enterprise; U.S. Department of Health and Human Services","keywords":"Transfection; Transcription (linguistics); Biology; Messenger RNA; Cell biology; Virus latency; Ex vivo; Virology; In vitro; Molecular biology; Virus; Gene; Viral replication; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001554764,0.0002359753,0.0001529666,0.0001138747,0.0001277992,0.0004062897,0.0001933755,0.0002898907,0.001103585],"category_scores_gemma":[0.0001320811,0.0001117573,0.0001586166,0.00007618024,0.0002093972,0.0002315502,0.0001890349,0.0004794592,0.0005393398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002210129,"about_ca_system_score_gemma":0.0001905839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002631212,"about_ca_topic_score_gemma":0.0003322136,"domain_scores_codex":[0.9999141,0.00001827392,0.00000655666,0.00001816386,0.00002393355,0.00001894381],"domain_scores_gemma":[0.9999365,0.00001706922,0.00001589358,0.000006255445,0.00001415752,0.00001018995],"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":[0.00001904031,0.0000157106,0.00004029896,0.0000310617,0.000002055197,0.00002927448,0.00001016993,0.0001192185,0.9974852,0.0001643099,0.00005853943,0.002025169],"study_design_scores_gemma":[0.00001455793,0.0003989453,0.0001987698,0.000004584483,0.000006707574,0.00008035211,0.00001016932,0.00125743,0.9959193,0.00007697268,0.00202936,0.000002900124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9396005,0.002650793,0.05156159,0.000351337,0.0001565237,0.000163522,0.0002313687,0.0004481757,0.004836095],"genre_scores_gemma":[0.9777246,0.0008423312,0.01593345,0.0001411101,0.00003330908,0.00007335825,0.0001233543,0.00004629428,0.005082245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001103585,"threshold_uncertainty_score":0.003691852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710572202582504,"score_gpt":0.3090753733107275,"score_spread":0.2919696512849025,"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."}}