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{ "kind": "infographic", "prompt": "Cross-method concordance for brain receptor expression mapping", "provider": "other", "raw_fields": { "title": "Cross-method concordance for brain receptor expression mapping", "papers": [ { "doi": "10.1038/s41593-022-01186-3", "value": "high correlation for all 5 serotonin targets; replicated in independent autoradiography dataset", "comparison": "PET vs autoradiography", "methods_compared": "PET binding potential vs postmortem autoradiography", "value_source_sentence": "We replicated all findings in an independently collected autoradiography dataset." }, { "doi": "10.1523/jneurosci.2830-16.2016", "value": "strong PET-autoradiography correlation; receptor-specific PET-mRNA associations", "comparison": "PET vs autoradiography vs mRNA", "methods_compared": "PET vs autoradiography vs Allen Human Brain Atlas mRNA", "value_source_sentence": "Comparison of the regional PET binding measures with postmortem human brain autoradiography outcomes showed a high correlation for the five 5-HT targets and this enabled us to transform the atlas to represent protein densities (in picomoles per milliliter)." }, { "doi": "10.1038/s41392-022-00960-w", "value": "seq-based lacks cellular resolution; image-based limited in transcriptome coverage", "comparison": "seq-based vs image-based spatial transcriptomics", "methods_compared": "sequencing-based ST vs FISH-based ST", "value_source_sentence": "Although current ST methods, whether based on next-generation sequencing (seq-based approaches) or fluorescence in situ hybridization (image-based approaches), offer valuable insights, they face limitations either in cellular resolution or transcriptome-wide profiling." } ], "x_axis": "Detection method", "y_axis": "Concordance metric", "n_analyzed": "varies", "n_definition": "varies: subjects (PET), tissue samples (autoradiography), genes (mRNA)", "scope_region": "whole brain", "comparison_id": "fig_sec3_method_concordance", "comparison_type": "methodological comparison", "taxonomic_level": "receptor/transporter level", "scope_population": "receptor expression measurements", "homogeneity_check": "Comparisons span different measurement modalities (protein vs mRNA vs binding), different species (human vs mouse), and different spatial resolutions. PET-autoradiography comparisons are protein-level but differ in spatial resolution and in vivo vs ex vivo conditions. mRNA-protein comparisons are fundamentally different molecular readouts. These methodological differences ARE the point of this comparison figure." }, "section_id": "section_03_evidence", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewNeuromodulation/blob/95db5c630fe54e183d9c452cf826ce502d4a872d/evidence/section_03_evidence.json", "target_ref": "wiki_page:computationalreviewneuromodulation-03", "review_repo": "ComputationalReviewNeuromodulation", "section_ref": "wiki_page:computationalreviewneuromodulation-03", "source_path": "evidence/section_03_evidence.json", "source_refs": [ "paper:paper-8c66fed0864e", "paper:paper-ac1398cc9f7b", "paper:paper-e1ce9847cb04" ], "section_title": "Receptor Pharmacology and Region-Specific Expression", "source_policy": { "mode": "public_source_pointer_with_short_context", "notes": [ "Local review repositories are read-only inputs.", "SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose." ], "source_commit_sha": "95db5c630fe54e183d9c452cf826ce502d4a872d", "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewNeuromodulation" }, "generation_status": "complete", "review_bundle_ref": "analysis_bundle:ab-a3dbbaf9b625", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewNeuromodulation/blob/95db5c630fe54e183d9c452cf826ce502d4a872d/evidence/section_03_evidence.json", "commit_sha": "95db5c630fe54e183d9c452cf826ce502d4a872d", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewNeuromodulation" }