{"id":"W1101610290","doi":"10.1038/srep12620","title":"Genome-wide whole blood microRNAome and transcriptome analyses reveal miRNA-mRNA regulated host response to foodborne pathogen Salmonella infection in swine","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture; Genome Alberta; Alberta Livestock and Meat Agency; Agricultural Research Service; Genome Canada","keywords":"Biology; microRNA; Transcriptome; Salmonella; Immune system; Gene expression profiling; Gene; Salmonella infection; Gene expression; Messenger RNA; Computational biology; Genetics; Bacteria","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":[0.0001584204,0.0001247704,0.0002577207,0.0002367912,0.0001164866,0.0002073178,0.00006177106,0.0001974744,0.0005001992],"category_scores_gemma":[0.0001311473,0.0001385763,0.0002920826,0.0001887561,0.0001004634,0.00009646747,0.0001190384,0.0001472518,0.0001475183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006930545,"about_ca_system_score_gemma":0.00009545423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002724303,"about_ca_topic_score_gemma":0.0003872686,"domain_scores_codex":[0.999928,0.00001012677,0.000005030266,0.0000305966,0.00001284106,0.00001333933],"domain_scores_gemma":[0.9999262,0.00001848868,0.00002383082,0.000007088309,0.00001234856,0.00001197854],"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":[0.0004463352,0.000017285,0.01962833,0.00003520616,0.00003395036,0.00007504425,0.00005770916,0.00008496882,0.9769395,0.00002517117,0.00004581487,0.002610597],"study_design_scores_gemma":[0.00001642791,0.0006544333,0.9159034,0.000006661815,0.0001158002,0.0008216907,0.0001457075,0.002052989,0.07886043,0.00008444007,0.001324244,0.00001368213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978829,0.0002167791,0.001213305,0.000012573,0.00000321499,0.000006217353,0.0004688296,0.00001208878,0.0001839933],"genre_scores_gemma":[0.9949095,0.0002168587,0.002432914,0.00004816346,0.000005911111,0.0000331933,0.001599659,0.0000133085,0.0007403963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005001992,"threshold_uncertainty_score":0.001673341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097308520113862,"score_gpt":0.2740633842496883,"score_spread":0.2530902990485497,"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."}}