{"id":"W2790526141","doi":"10.1080/20013078.2018.1438727","title":"Proteome profiling of extracellular vesicles captured with the affinity peptide Vn96: comparison of Laemmli and TRIzol© protein‐extraction methods","year":2018,"lang":"en","type":"article","venue":"Journal of Extracellular Vesicles","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of New Brunswick; Université de Moncton; Atlantic Cancer Research Institute","funders":"Atlantic Canada Opportunities Agency; Multiple Sclerosis Society","keywords":"Trizol; Chromatography; Proteomics; Chemistry; Lysis buffer; Proteome; Protein purification; Fractionation; Sample preparation; Lysis; RNA extraction; RNA; Biochemistry; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002809556,0.0004517144,0.0007950853,0.0002010819,0.0002361217,0.00006570077,0.0006584184,0.0003264524,0.00003035175],"category_scores_gemma":[0.0005571476,0.0003250802,0.0003293198,0.0003540544,0.001187224,0.00007205269,0.0001589525,0.0005641846,0.00000222108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003285471,"about_ca_system_score_gemma":0.0003230072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000192889,"about_ca_topic_score_gemma":0.00002035774,"domain_scores_codex":[0.995999,0.0008331384,0.001521797,0.0004909592,0.0006951106,0.0004600415],"domain_scores_gemma":[0.9953048,0.0001677943,0.002597057,0.0007681596,0.0009115582,0.0002505923],"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":[0.001571718,0.0006975691,0.002098553,0.0002521746,0.0003171001,0.00003080023,0.0005505832,0.0001431889,0.9892218,0.0002789288,0.0001957652,0.004641879],"study_design_scores_gemma":[0.001438022,0.002502232,0.001802366,0.0002300218,0.0003198934,0.0001671528,0.001638373,0.0003662792,0.9874265,0.0003991243,0.003351327,0.0003587406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931744,0.02194583,0.04486083,0.0002409885,0.0001270866,0.0009240054,0.00001934147,0.0000124948,0.000125458],"genre_scores_gemma":[0.9005857,0.00009852549,0.09846802,0.00001479596,0.000484417,0.00002344777,0.00001272806,0.00007424691,0.000238158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05360719,"threshold_uncertainty_score":0.9999201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352826803442514,"score_gpt":0.32360783405601,"score_spread":0.3000795660215848,"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."}}