{"id":"W4393858351","doi":"10.1038/s41467-024-47271-y","title":"Spatial transcriptomics reveals discrete tumour microenvironments and autocrine loops within ovarian cancer subclones","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Medical Research Council; Australian Government; Cancer Council Western Australia; Conquer Cancer Foundation; Bone Cancer Research Trust; National Health and Medical Research Council","keywords":"Stromal cell; Biology; Autocrine signalling; Cancer research; Transcriptome; Immune system; Ovarian carcinoma; Tumor microenvironment; Ovarian cancer; Cell; Receptor; Cancer; Immunology; Genetics; Gene; Gene expression","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":[0.00008099931,0.00009467796,0.0001350739,0.0002585003,0.000124893,0.0004009771,0.00007729596,0.0001487434,0.0006134958],"category_scores_gemma":[0.0001405061,0.0001035235,0.0001357822,0.0002362977,0.0002105542,0.0001244988,0.0001712207,0.0001950181,0.0001990863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001749966,"about_ca_system_score_gemma":0.0001435973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034621,"about_ca_topic_score_gemma":0.002855315,"domain_scores_codex":[0.9999065,0.00000598082,0.00000450046,0.00003380738,0.00003067668,0.0000184512],"domain_scores_gemma":[0.999877,0.00003681236,0.00003142263,0.00001915917,0.00001946593,0.00001618617],"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":[0.00003039952,0.000001983765,0.001927973,0.00001250754,0.000002578207,0.00002762002,0.00003730415,0.00006937165,0.9968183,0.00004140009,0.00001419977,0.001016298],"study_design_scores_gemma":[0.000008212943,0.0001290376,0.3277527,0.000009309466,0.00003429214,0.0006335453,0.000516161,0.003890709,0.663397,0.0002895614,0.003323004,0.00001637484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953086,0.0002955494,0.003013313,0.00002933239,0.000003694786,0.000006577278,0.0007209633,0.00006792755,0.0005541366],"genre_scores_gemma":[0.9952006,0.0002278249,0.00248958,0.00003000896,0.000002766925,0.00001597143,0.0009918761,0.00002368319,0.001017632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001034621,"threshold_uncertainty_score":0.002057195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317454842077797,"score_gpt":0.2751986990983756,"score_spread":0.2620241506775977,"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."}}