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{ "kind": "infographic", "prompt": "Astrocyte Identity and Diversity figure 1", "provider": "other", "raw_fields": { "name": "astrocyte_subtype_counts_across_studies", "metric": "number of astrocyte subtypes identified", "papers": [ { "doi": "10.1038/s41467-019-14198-8", "year": "2020", "title": "Identification of region-specific astrocyte subtypes at single cell resolution.", "value": 5, "metric": "number of astrocyte subtypes/clusters identified", "study_system": "mouse (scRNA-seq)", "value_source_sentence": "This led to the identification of five distinct Astrocyte SubTypes (AST1–5), each distinguished by a gene expression fingerprint (Fig." }, { "doi": "10.1038/s41467-025-63429-8", "year": "2025", "title": "Aging in mice alters regionally enriched striatal astrocytes.", "value": 7, "metric": "number of astrocyte subtypes/clusters identified", "study_system": "mouse (scRNA-seq)", "value_source_sentence": "1 ), power analysis to assess if our data have enough cells to identify 7 astrocyte subtypes in the striatum (Supplementary Fig." }, { "doi": "10.1038/s41467-025-61829-4", "year": "2025", "title": "Dual lineage origins contribute to neocortical astrocyte diversity.", "value": 5, "metric": "number of astrocyte subtypes/clusters identified", "study_system": "mouse (scRNA-seq, spatial transcriptomics)", "value_source_sentence": "These methods allowed us to identify five molecularly distinct astrocyte subtypes in the mouse neocortex, each with unique localizations along the cortical column and distinct predicted functions." }, { "doi": "10.1038/s41398-025-03616-9", "year": "2025", "title": "Developmental arrest of astrocyte lineage in Snai2 deletion mice: implication for the inte", "value": 5, "metric": "number of astrocyte subtypes/clusters identified", "study_system": "human+mouse (spatial transcriptomics)", "value_source_sentence": "Moreover, five astrocyte clusters were identified in brains of Snai2 + / + and Snai2 − / − mice according to their transcriptomic signatures (Table S2 )." }, { "doi": "10.1038/s41593-020-0602-1", "year": "2020", "title": "Astrocyte layers in the mammalian cerebral cortex revealed by a single-cell in situ transc", "value": 2, "metric": "number of astrocyte subtypes/clusters identified", "study_system": "human+mouse (scRNA-seq, spatial transcriptomics)", "value_source_sentence": "Unsupervised clustering with the Louvain method identified two major astrocyte subtypes in the P56 cortex ( Fig 4C )." }, { "doi": "10.1038/s41593-024-01743-y", "year": "2024", "title": "Characteristics of blood-brain barrier heterogeneity between brain regions revealed by pro", "value": 4, "metric": "number of astrocyte subtypes/clusters identified", "study_system": "mouse (scRNA-seq, spatial transcriptomics, EM)", "value_source_sentence": "Subclustering analysis identified four astrocyte subtypes, one from the cortex and three from the ME (Fig." } ], "x_axis": "study (first author, year)", "y_axis": "number of subtypes", "description": "Bar chart comparing the number of astrocyte subtypes or clusters identified across recent single-cell / spatial transcriptomic studies of rodent and human brain. Values range from 2 to 7 depending on tissue scope, cell numbers, clustering resolution, and whether layer-dependent versus unsupervised clustering is used.", "figure_type": "bar", "homogeneity_check": { "caveats": "Studies span different brain regions (forebrain in Batiuk 2020; cortex-only in Bayraktar 2020 and Cuevas-Diaz Duran 2025; cortex+median eminence in Chen 2024; striatum in Lee 2025). Resolution parameters and clustering algorithms differ (Louvain, Seurat SNN, Leiden), which directly affects cluster count. Bayraktar 2020 reports 2 by unsupervised clustering but 3 gradient-based layer identities; values here take the unsupervised clustering result as reported. The Snai2 study (Dai 2025) reports 5 clusters in control mice. Studies with >=5 subtypes generally used tissue dissociation followed by deep 10x chromium sequencing, while 2-subtype studies used lower-depth smart-seq2 or in situ transcriptomics.", "metric_uniform": true, "scope_region_uniform": false, "taxonomic_level_uniform": false, "scope_population_uniform": false } }, "section_id": "section_02_evidence_package", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewAstrocytes/blob/1a55da0634a3bc04e5688792ed12141ce271d28e/evidence/section_02_evidence_package.json", "target_ref": "wiki_page:computationalreviewastrocytes-02", "review_repo": "ComputationalReviewAstrocytes", "section_ref": "wiki_page:computationalreviewastrocytes-02", "source_path": "evidence/section_02_evidence_package.json", "source_refs": [ "paper:paper-133fbb65f077", "paper:paper-3f58c51c66b8", "paper:paper-45675fb47052", "paper:paper-6a1ea355aaf8", "paper:paper-97331636ab5b", "paper:paper-adc7c61857f7" ], "section_title": "Astrocyte Identity and Diversity", "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": "1a55da0634a3bc04e5688792ed12141ce271d28e", "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewAstrocytes" }, "generation_status": "complete", "review_bundle_ref": "analysis_bundle:ab-029ee9411fe2", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewAstrocytes/blob/1a55da0634a3bc04e5688792ed12141ce271d28e/evidence/section_02_evidence_package.json", "commit_sha": "1a55da0634a3bc04e5688792ed12141ce271d28e", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewAstrocytes" }