The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
The problem of neuronal cell types: a physiological genomics approach
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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“the definition of a cell type in the brain remains controversial20,21”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [20]
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Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Phylogenetic structure of the prokaryotic domain: The primary kingdoms
Woese, C. R., & Fox, G. E. (1977) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.74.11.5088 · Cited by 4,131
Imaging Neuronal Subsets in Transgenic Mice Expressing Multiple Spectral Variants of GFP
Feng, G., Mellor, R. H., Bernstein, M., Keller-Peck, C., Nguyen, Q. T., Wallace, M., Nerbonne, J. M., Lichtman, J. W., & Sanes, J. R. (2000) · Neuron · doi:10.1016/s0896-6273(00)00084-2 · Cited by 3,042
Interneurons of the neocortical inhibitory system
Markram, H., Toledo-Rodriguez, M., Wang, Y., Gupta, A., Silberberg, G., & Wu, C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1519 · Cited by 2,954
A gene expression atlas of the central nervous system based on bacterial artificial chromosomes
Gong, S., Zheng, C., Doughty, M. L., Losos, K., Didkovsky, N., Schambra, U. B., Nowak, N. J., Joyner, A., Leblanc, G., Hatten, M. E., et al. (2003) · Nature · doi:10.1038/nature02033 · Cited by 2,108
Germline Transmission and Tissue-Specific Expression of Transgenes Delivered by Lentiviral Vectors
Lois, C., Hong, E. J., Pease, S., Brown, E. J., & Baltimore, D. (2002) · Science · doi:10.1126/science.1067081 · Cited by 1,992
Molecules as documents of evolutionary history
Zuckerkandl, E., & Pauling, L. C. (1965) · Journal of Theoretical Biology · doi:10.1016/0022-5193(65)90083-4 · Cited by 1,359
Neuronal Subtype-Specific Genes that Control Corticospinal Motor Neuron Development In Vivo
Arlotta, P., Molyneaux, B. J., Chen, J., Inoue, J., Kominami, R., & Macklis, J. D. (2005) · Neuron · doi:10.1016/j.neuron.2004.12.036 · Cited by 1,161
Analysis of gene expression in single live neurons.
Eberwine, J. H., Yeh, H., Miyashiro, K., Cao, Y., Nair, S., Finnell, R. H., Zettel, M. F., & Coleman, P. D. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.7.3010 · Cited by 947
Mirnics, K., Middleton, F. A., Marquez, A., Lewis, D. A., & Levitt, P. (2000) · Neuron · doi:10.1016/s0896-6273(00)00085-4 · Cited by 882
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Daigle, T. L., Madisen, L., Hage, T. A., Valley, M. T., Knoblich, U., Larsen, R. S., Takeno, M. M., Huang, L., Gu, H., Larsen, R., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.035 · Cited by 817
Metadata
- Authors
- Nelson, S. B., Sugino, K., & Hempel, C. M.
- Affiliations
- Brandeis University (US)
- Corresponding author
- Nelson, Sacha B.
- Venue
- Trends in Neurosciences
- Publisher
- Elsevier BV
- Published
- 2006-06
- Volume
- 29
- Issue
- 6
- Pages
- 339-345
- ISSN
- 0166-2236 (ISSN-L)
- 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
- 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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