Cited by 157Single-cell and spatial transcriptomicsNeurogenesis and neuroplasticity mechanismsNeuroscience and Neuropharmacology Research

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The problem of neuronal cell types: a physiological genomics approach

Nelson, Sacha B., Sugino, Ken, Hempel, Chris M.·2006·Trends in Neurosciences

DOI 10.1016/j.tins.2006.05.004

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Abstract

Neural circuits within the vertebrate brain are composed of highly diverse cell types. The exact extent of this diversity is a matter of continuing debate. For example, do cortical interneurons comprise a few, dozens or >100 distinct cell types? Recently, several groups have used microarrays to measure genome-wide gene expression profiles for specific neuronal cell types. These methods can offer an objective basis for neuronal classification. In this review, we argue that this approach should now be carried out more broadly and that it should be coupled to large-scale efforts to generate mouse driver lines in which tools for genetic manipulation, such as the Cre recombinase, are expressed in identified cell types within the brain. This would enable neuroscientists to begin to investigate more systematically the roles of specific genes in establishing particular cellular phenotypes, and also the roles of particular cell types within brain circuits. This review is part of the TINS special issue on The Neural Substrates of Cognition.

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Self-citation
A computational approach to identify cellular heterogeneity and tissue-specific gene regulatory networks
Jambusaria, A., Klomp, J. A., Hong, Z., Rafii, S., Dai, Y. D., Malik, A. B., & Rehman, J. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2190-6 · Cited by 17

Authors: Nelson, S. B., Sugino, K., & Hempel, C. M.
Affiliations: Brandeis University (US)
Corresponding author: Nelson, Sacha B.
ORCID: Nelson, Sacha B.
Sugino, Ken
Venue: Trends in Neurosciences
Publisher: Elsevier BV
Published: 2006-06
Volume: 29
Issue: 6
Pages: 339-345
ISSN: 0166-2236 (ISSN-L)
DOI: 10.1016/j.tins.2006.05.004
OpenAlex: W2014405654
Cited by: 157
References: 56
Citations by year: 2026: 2 · 2025: 4 · 2024: 1 · 2023: 3 · 2022: 4 · 2021: 1 · 2020: 3 · 2019: 4 · 2018: 10 · 2017: 11 · 2016: 5 · 2015: 16 · 2014: 13 · 2013: 8 · 2012: 10
FWCI: 0.98
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Trends in Neurosciences (publishedVersion)
PubMed (publishedVersion)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords: neuronal cell types, cortical interneurons, gene expression profiling, neuron classification, Cre recombinase, neural circuits, cell type diversity, physiological genomics
MeSH terms: Animals, Brain, Humans, Nerve Net, Neurons, Gene Expression Profiling, Genomics

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The problem of neuronal cell types: a physiological genomics approach

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