Evidence map›Paper›PMID 33372656›Full record

ArticleeLife2020

Common cell type nomenclature for the mammalian brain.

Jeremy A Miller, Nathan W Gouwens, Bosiljka Tasic, Forrest Collman, Cindy Tj van Velthoven, Trygve E Bakken, Michael J Hawrylycz, Hongkui Zeng, Ed S Lein, Amy Bernard

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. Article
  3. bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Decoding Alzheimer's Disease One Cell Class at a Time.Cellular and molecular neurobiology · 2026
    Review
  6. Article
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  15. Article
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  17. Article
  18. Multimodal cortical neuronal cell type classification.Pflugers Archiv : European journal of physiology · 2024
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Jeremy A MillerAllen Institute, Seattle, United States.ORCID 0000-0003-4549-588X
Nathan W GouwensAllen Institute, Seattle, United States.ORCID 0000-0001-8429-4090
Bosiljka TasicAllen Institute, Seattle, United States.ORCID 0000-0002-6861-4506
Forrest CollmanAllen Institute, Seattle, United States.ORCID 0000-0002-0280-7022
Cindy Tj van VelthovenAllen Institute, Seattle, United States.ORCID 0000-0001-5120-4546
Trygve E BakkenAllen Institute, Seattle, United States.ORCID 0000-0003-3373-7386
Michael J HawrylyczAllen Institute, Seattle, United States.ORCID 0000-0002-5741-8024
Hongkui ZengAllen Institute, Seattle, United States.ORCID 0000-0002-0326-5878
Ed S LeinAllen Institute, Seattle, United States.ORCID 0000-0001-9012-6552
Amy BernardAllen Institute, Seattle, United States.ORCID 0000-0003-2540-1153
Allen Institute · US

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI TOLIAS, ANDREAS · 2017 to 2021
$64.7M
A multimodal atlas of human brain cell typesU01MH114812 · NIMH · ALLEN INSTITUTE · PI LEIN, ED · 2017 to 2021
$19.2M
A Community Framework for Data-driven Brain Transcriptomic Cell Type Definition, Ontology, and NomenclatureRF1MH123220 · NIMH · ALLEN INSTITUTE · PI HAWRYLYCZ, MICHAEL, LEIN, ED · 2020 to 2020
$2.8M
NIMH NIH HHS RF1 MH123220NIMH NIH HHS U01 MH114812NIMH NIH HHS U01MH114812NIMH NIH HHS U19 MH114830NIMH NIH HHS U19MH114830
6 · The paper itself

Abstract

The advancement of single-cell RNA-sequencing technologies has led to an explosion of cell type definitions across multiple organs and organisms. While standards for data and metadata intake are arising, organization of cell types has largely been left to individual investigators, resulting in widely varying nomenclature and limited alignment between taxonomies. To facilitate cross-dataset comparison, the Allen Institute created the common cell type nomenclature (CCN) for matching and tracking cell types across studies that is qualitatively similar to gene transcript management across different genome builds. The CCN can be readily applied to new or established taxonomies and was applied herein to diverse cell type datasets derived from multiple quantifiable modalities. The CCN facilitates assigning accurate yet flexible cell type names in the mammalian cortex as a step toward community-wide efforts to organize multi-source, data-driven information related to cell type taxonomies from any organism.

Indexed as

Terminology as TopicCellsHumansTemporal Lobecell typehumanmouseneurosciencenomenclatureRNAstandardstaxonomytranscriptomics

Identifiers

PMID33372656
PMCPMC7790494
OpenAlexW3114373167

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.