{"id":"W3021823482","doi":"10.1016/j.ijbiomac.2020.05.048","title":"Low molecular weight chitosan nanoparticles for CpG oligodeoxynucleotides delivery: Impact of molecular weight, degree of deacetylation, and mannosylation on intracellular uptake and cytokine induction","year":2020,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; University of Alberta","funders":"Alberta Innovates Bio Solutions; Natural Sciences and Engineering Research Council of Canada; Alberta Livestock and Meat Agency; Canada Research Chairs; Alberta Crop Industry Development Fund","keywords":"Chitosan; CpG Oligodeoxynucleotide; Intracellular; Chemistry; Drug delivery; In vitro; Acetylation; Mannose; Biophysics; Biochemistry; Biology; Gene expression; Organic chemistry; DNA methylation","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":[],"consensus_categories":[],"category_scores_codex":[0.0001493481,0.0001949137,0.0002952834,0.0001056868,0.00002962351,0.00002626192,0.0002416858,0.000159198,0.00001189845],"category_scores_gemma":[0.0002470279,0.0001485554,0.0002193913,0.00007459509,0.0001632723,0.00002203926,0.00009358432,0.0001081496,4.964335e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000130231,"about_ca_system_score_gemma":0.00004551871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008022967,"about_ca_topic_score_gemma":0.000001052769,"domain_scores_codex":[0.9987054,0.00008273034,0.0005854315,0.0002605318,0.0002184442,0.0001474216],"domain_scores_gemma":[0.9988289,0.00003873519,0.0004968104,0.0001000344,0.0004219472,0.0001136082],"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":[0.001262059,0.0001137298,0.003347323,0.0000184208,0.0003811713,0.00002241831,0.00004946857,0.0004551477,0.9836738,0.0006716315,0.00003571487,0.009969085],"study_design_scores_gemma":[0.0009432402,0.003050716,0.01708492,0.00006940376,0.00004558121,0.00007093779,0.0000436114,0.000354264,0.9772413,0.0008736018,0.00007718146,0.0001452836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892628,0.001028707,0.008833623,0.0005015425,0.00009324392,0.0001538457,0.00009197945,0.000004407294,0.00002990777],"genre_scores_gemma":[0.9967179,0.0007686429,0.002098975,0.0001674006,0.0001647191,0.000005031746,0.00006197728,0.0000143723,0.000001022056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0137376,"threshold_uncertainty_score":0.6057913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02304084679906208,"score_gpt":0.2658531769674544,"score_spread":0.2428123301683923,"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."}}