{"id":"W4414259389","doi":"10.1101/2025.09.13.672380","title":"In vivo single-cell gene editing using RNA electroporation reveals sequential adaptation of cortical neurons to excitatory-inhibitory imbalance","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Excitatory postsynaptic potential; Electroporation; Inhibitory postsynaptic potential; Neurotransmission; Cortical neurons; Cortex (anatomy); Premovement neuronal activity; Cerebral cortex; Cellular neuroscience","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001651352,0.0002784167,0.0002869859,0.0001403751,0.00008632603,0.0003481899,0.0002816248,0.0002987247,0.0008563317],"category_scores_gemma":[0.0001837665,0.0001541973,0.0001936604,0.00007787816,0.0002932215,0.0001420138,0.0002318174,0.0005407566,0.0003141665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002465053,"about_ca_system_score_gemma":0.0001270733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005024631,"about_ca_topic_score_gemma":0.0007114889,"domain_scores_codex":[0.9998643,0.00001239226,0.00001077951,0.00004915563,0.00003764252,0.00002566458],"domain_scores_gemma":[0.9998487,0.00004334857,0.00004961707,0.00002435603,0.00001380265,0.00002019005],"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":[0.000009474398,0.000002939805,0.00003574227,0.00000560195,0.000001700742,0.00001618226,0.000004286236,0.00007664429,0.9994596,0.00005260476,0.000009875793,0.0003253401],"study_design_scores_gemma":[0.000003903614,0.00002698402,0.001207289,0.000001408934,0.000005294747,0.00008552602,0.000007115986,0.001835651,0.9961696,0.0000645215,0.0005894366,0.000003151172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485839,0.0003418966,0.04779111,0.0001249058,0.00006302031,0.00004372939,0.0003868699,0.0006006352,0.002064088],"genre_scores_gemma":[0.9873675,0.0002164281,0.009444586,0.00005845418,0.000008506399,0.00003657069,0.0001737752,0.0001237057,0.002570572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008563317,"threshold_uncertainty_score":0.002864718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308422101170001,"score_gpt":0.2557896102739999,"score_spread":0.2427053892622999,"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."}}