Evidence map›Paper›PMID 30949034›Full record

ArticleFrontiers in neuroanatomy2019

Neuron Names: A Gene- and Property-Based Name Format, With Special Reference to Cortical Neurons.

Gordon M Shepherd, Luis Marenco, Michael L Hines, Michele Migliore, Robert A McDougal, Nicholas T Carnevale, Adam J H Newton, Monique Surles-Zeigler, Giorgio A Ascoli

Abstract read
In one paragraph

Article in Frontiers in neuroanatomy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Automating literature screening and curation with applications to computational neuroscience.Journal of the American Medical Informatics Association : JAMIA · 2024
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  6. Review
  7. Circuit analysis of theNetwork neuroscience (Cambridge, Mass.) · 2023
    Article
  8. Article
  9. Review
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  12. Review
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  15. A model for mapping between the human and rodent cerebral cortex.The Journal of comparative neurology · 2019
    Article
  16. 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

9 authors.

Gordon M ShepherdDepartment of Neuroscience, Yale School of Medicine, New Haven, CT, United States.
Luis MarencoDepartment of Neuroscience, Yale School of Medicine, New Haven, CT, United States.
Michael L HinesDepartment of Neuroscience, Yale School of Medicine, New Haven, CT, United States.
Michele MiglioreDepartment of Neuroscience, Yale School of Medicine, New Haven, CT, United States.
Robert A McDougalDepartment of Neuroscience, Yale School of Medicine, New Haven, CT, United States.
Nicholas T CarnevaleDepartment of Neuroscience, Yale School of Medicine, New Haven, CT, United States.
Adam J H NewtonDepartment of Neuroscience, Yale School of Medicine, New Haven, CT, United States.
Monique Surles-ZeiglerDepartment of Neuroscience, Yale School of Medicine, New Haven, CT, United States.
Giorgio A AscoliBioengineering Department and Center for Neural Informatics, Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA, United States.

Funding

MEDICAL INFORMATICS RESEARCH TRAINING AT YALET15LM007056 · NLM · YALE UNIVERSITY · PI Mark Bender Gerstein, LUCILA OHNO-MACHADO · 1987 to 2026
$22.2M
Anatomical characterization of neuronal cell types of the mouse brainU01MH114829 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ASCOLI, GIORGIO A, DONG, HONG-WEI · 2017 to 2021
$13.9M
Generation and Description of Neuronal Morphology and ConnectivityR01NS039600 · NINDS · GEORGE MASON UNIVERSITY · PI ASCOLI, GIORGIO A · 1999 to 2024
$6.9M
SenseLab: Integration of Multidisciplinary Sensory DataR01DC009977 · NIDCD · YALE UNIVERSITY · PI HINES, MICHAEL L, MCDOUGAL, ROBERT A. · 2009 to 2018
$6.7M
Translational Research on Alcohol, Immunodeficiency, and Aging In COMpAAASU24AA022001 · NIAAA · YALE UNIVERSITY · PI BRANDT, CYNTHIA A. · 2012 to 2020
$3.2M
NIAAA NIH HHS U24 AA022001NIDCD NIH HHS R01 DC009977NIMH NIH HHS U01 MH114829NINDS NIH HHS R01 NS039600NLM NIH HHS T15 LM007056
6 · The paper itself

Abstract

Precision in neuron names is increasingly needed. We are entering a new era in which classical anatomical criteria are only the beginning toward defining the identity of a neuron as carried in its name. New criteria include patterns of gene expression, membrane properties of channels and receptors, pharmacology of neurotransmitters and neuropeptides, physiological properties of impulse firing, and state-dependent variations in expression of characteristic genes and proteins. These gene and functional properties are increasingly defining neuron types and subtypes. Clarity will therefore be enhanced by conveying as much as possible the genes and properties in the neuron name. Using a tested format of parent-child relations for the region and subregion for naming a neuron, we show how the format can be extended so that these additional properties can become an explicit part of a neuron's identity and name, or archived in a linked properties database. Based on the mouse, examples are provided for neurons in several brain regions as proof of principle, with extension to the complexities of neuron names in the cerebral cortex. The format has dual advantages, of ensuring order in archiving the hundreds of neuron types across all brain regions, as well as facilitating investigation of a given neuron type or given gene or property in the context of all its properties. In particular, we show how the format is extensible to the variety of neuron types and subtypes being revealed by RNA-seq and optogenetics. As current research reveals increasingly complex properties, the proposed approach can facilitate a consensus that goes beyond traditional neuron types.

Indexed as

axonsbrain regionsdendritesgenomicsneuron classificationterminology

Identifiers

PMID30949034
PMCPMC6437103

What OpenQuestion holds

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Registered trials

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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.