{"id":"W4402586491","doi":"10.1038/s41467-024-52490-4","title":"Multiplex, single-cell CRISPRa screening for cell type specific regulatory elements","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Damon Runyon Cancer Research Foundation; National Human Genome Research Institute; University of California, San Francisco; U.S. Department of Health and Human Services; National Science Foundation","keywords":"CRISPR; Biology; Enhancer; Computational biology; Gene; Regulation of gene expression; Promoter; Genetics; Chromatin; Gene expression","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":[0.0008935883,0.0006363189,0.0009322548,0.0006250991,0.0003276443,0.0008743448,0.0006290657,0.0007812171,0.001631233],"category_scores_gemma":[0.0007465823,0.0003543675,0.0005198534,0.0003292877,0.0004106559,0.0003409243,0.0008012681,0.0007666981,0.001014807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000430145,"about_ca_system_score_gemma":0.0003388552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005200013,"about_ca_topic_score_gemma":0.002031579,"domain_scores_codex":[0.9989791,0.00009240049,0.00007762535,0.0003546021,0.0004130786,0.00008318998],"domain_scores_gemma":[0.9993618,0.0002004542,0.0001546932,0.000131534,0.00007563517,0.00007595799],"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":[0.00002002035,0.00001903943,0.0002259324,0.00002472194,0.000008117845,0.00002080855,0.000008538414,0.0002360761,0.9975972,0.00008135226,0.00005116603,0.00170712],"study_design_scores_gemma":[0.000004581009,0.00009636536,0.001410755,0.000002453181,0.00001342761,0.0001020037,0.00001099159,0.002370776,0.9947944,0.00006715502,0.001118655,0.000008340366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6943913,0.001025283,0.2914891,0.0002064741,0.000124419,0.0008907001,0.00438289,0.003136993,0.004352782],"genre_scores_gemma":[0.7957169,0.0008078609,0.1902389,0.0002276952,0.00002230718,0.0008578661,0.00293805,0.0003307963,0.008859651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001631233,"threshold_uncertainty_score":0.005456984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713942070415606,"score_gpt":0.3341607808195428,"score_spread":0.3070213601153868,"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."}}