Details

kind
infographic
provider
other
section_id
section_02_evidence_package
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_02_evidence_package.json
target_ref
wiki_page:computationalreviewpv-02
review_repo
ComputationalReviewPV
section_ref
wiki_page:computationalreviewpv-02
source_path
evidence/section_02_evidence_package.json
section_title
Molecular Identity and Transcriptomic Taxonomy
generation_status
complete
review_bundle_ref
analysis_bundle:ab-e6261c8263e7
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_02_evidence_package.json
commit_sha
df9fc7e8d455b084152c9d713558dae0013cef21
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewPV
Raw fields (4)
prompt
The rapid scaling of single-cell transcriptomic atlases from thousands to millions of cells, with each generation revealing finer-grained PV interneuron subtypes. Earlier studies (2020) found 28 met-types from 4,200 cells; the latest (2023-2024) resolve >5,000 clusters from millions of cells.
raw_fields
{
  "papers": [
    {
      "n": 4200,
      "doi": "10.1016/j.cell.2020.09.057",
      "value": "4200",
      "method": "10x Chromium scRNA-seq + patch-clamp",
      "metric": "Number of GABAergic interneurons profiled (transcriptomics)",
      "n_analyzed": "4200",
      "ci_or_error": null,
      "text_access": "fulltext",
      "n_definition": "cells profiled with scRNA-seq",
      "scope_region": "visual cortex only",
      "study_system": "mouse visual cortex",
      "taxonomic_level": "28 met-types",
      "scope_population": "GABAergic interneurons only",
      "value_source_sentence": "we characterized the transcriptomes and intrinsic physiological properties of over 4,200 mouse visual cortical GABAergic interneurons",
      "experimental_conditions": "acute brain slices, Patch-seq"
    },
    {
      "n": 1300000,
      "doi": "10.1016/j.cell.2021.04.021",
      "value": "1300000",
      "method": "10x Chromium scRNA-seq",
      "metric": "Number of cells profiled (transcriptomics)",
      "n_analyzed": "1300000",
      "ci_or_error": null,
      "text_access": "fulltext",
      "n_definition": "cells profiled with scRNA-seq",
      "scope_region": "isocortex and hippocampal formation",
      "study_system": "mouse isocortex and hippocampal formation",
      "taxonomic_level": "subclass level (Pvalb = 1 subclass with 3 supertypes)",
      "scope_population": "all cell types",
      "value_source_sentence": "We profiled ~1.3 million cells covering the entire adult mouse isocortex and HPF",
      "experimental_conditions": "10x Chromium scRNA-seq"
    },
    {
      "n": 11300000,
      "doi": "10.1038/s41586-023-06812-z",
      "value": "11300000",
      "method": "10x scRNA-seq + MERFISH spatial transcriptomics",
      "metric": "Number of cells profiled (scRNA-seq + MERFISH)",
      "n_analyzed": "11300000",
      "ci_or_error": null,
      "text_access": "abstract_only",
      "n_definition": "cells profiled across both modalities",
      "scope_region": "whole brain",
      "study_system": "whole adult mouse brain",
      "taxonomic_level": "5,200 clusters in whole brain",
      "scope_population": "all cell types",
      "value_source_sentence": "a single-cell RNA-sequencing (scRNA-seq) dataset of ~7 million cells profiled, and a spatially resolved transcriptomic dataset of ~4.3 million cells using MERFISH",
      "experimental_conditions": "scRNA-seq + MERFISH"
    },
    {
      "n": 611423,
      "doi": "10.1101/2024.06.18.599583",
      "value": "611423",
      "method": "scRNA-seq",
      "metric": "Number of GABAergic cells profiled",
      "n_analyzed": "611423",
      "ci_or_error": null,
      "text_access": "fulltext",
      "n_definition": "GABAergic neuronal cells profiled",
      "scope_region": "whole telencephalon",
      "study_system": "mouse whole telencephalon",
      "taxonomic_level": "1,051 GABAergic clusters in 52 subclasses",
      "scope_population": "GABAergic neurons only",
      "value_source_sentence": "utilizing 611,423 single-cell transcriptomes from the comprehensive and high-resolution transcriptomic and spatial cell type atlas",
      "experimental_conditions": "scRNA-seq extracted from whole brain atlas"
    }
  ],
  "comparison_id": "cell-type-atlas-scale-comparison",
  "comparison_name": "Scale of cell type atlases: number of cells profiled and types identified across major PV-relevant studies",
  "comparison_type": "timeline",
  "what_it_reveals": "The rapid scaling of single-cell transcriptomic atlases from thousands to millions of cells, with each generation revealing finer-grained PV interneuron subtypes. Earlier studies (2020) found 28 met-types from 4,200 cells; the latest (2023-2024) resolve >5,000 clusters from millions of cells.",
  "homogeneity_check": {
    "caveats": [
      "Studies cover different brain regions: visual cortex only vs isocortex vs whole brain",
      "Different studies profile all cells vs only GABAergic cells",
      "Taxonomic resolution varies from 28 met-types to 5,200 clusters",
      "The whole-brain atlases include non-neuronal cell types"
    ],
    "n_definition_uniform": "true",
    "scope_region_uniform": "false",
    "taxonomic_level_uniform": "false",
    "scope_population_uniform": "false"
  },
  "suggested_plot_type": "timeline"
}
source_refs
[
  "paper:paper-pm-33186530",
  "paper:paper-4dfe44516146",
  "paper:1f98e15e-de06-42f7-9da8-1faa69bba835",
  "paper:paper-ead55baa2bf0"
]
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": "df9fc7e8d455b084152c9d713558dae0013cef21",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV"
}

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