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In utero Electroporation followed by Primary Neuronal Culture for Studying Gene Function in Subset of Cortical Neurons

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

Gordon M Shepherd^1,2, Luis Marenco^1,2, Michael L Hines¹

¹Department of Neuroscience, Yale School of Medicine, New Haven, CT, United States.

Frontiers in Neuroanatomy

|April 6, 2019

Summary

This summary is machine-generated.

A new neuron naming convention incorporates gene expression and functional properties for precise identification. This standardized format aids in organizing and investigating diverse neuron types across brain regions.

Keywords:

axons brain regions dendrites genomics neuron classification terminology

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Area of Science:

Neuroscience
Computational Neuroscience
Genomics

Background:

Classical anatomical criteria are insufficient for defining neuron identity in the modern era.
Emerging criteria include gene expression, membrane properties, neurotransmitter pharmacology, and physiological firing patterns.
These molecular and functional characteristics are crucial for defining neuron types and subtypes.

Purpose of the Study:

To propose an extended neuron naming format that integrates gene and functional properties.
To enhance clarity and precision in neuron nomenclature.
To facilitate the archiving and investigation of neuron types and their associated properties.

Main Methods:

Utilized a parent-child hierarchical format for region and subregion.
Extended this format to explicitly include gene and functional properties.
Provided examples from mouse brain regions, including the cerebral cortex.
Demonstrated extensibility to RNA-sequencing (RNA-seq) and optogenetics data.

Main Results:

Developed a standardized, extensible format for neuron nomenclature.
Showcased how the format explicitly incorporates genetic and functional neuron characteristics.
Established a framework for ordering and archiving hundreds of neuron types.
Facilitated the investigation of neuron types within the context of their comprehensive properties.

Conclusions:

The proposed neuron naming format enhances precision by integrating molecular and functional data.
This approach aids in organizing vast amounts of neuron information and facilitates research.
The format supports a consensus in neuron classification beyond traditional anatomical definitions.
It is adaptable to new discoveries from techniques like RNA-seq and optogenetics.