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Sugino, et al. Molecular taxonomy of major neuronal classes in the adult mouse forebrain. Nat. Neurosci. 9, 99-107

Department of Biology, Brandeis University, Волтам, Massachusetts, United States
Nature Neuroscience (Impact Factor: 14.98). 02/2006; 9(1):99-107. DOI: 10.1038/nn1618
Source: PubMed

ABSTRACT Identifying the neuronal cell types that comprise the mammalian forebrain is a central unsolved problem in neuroscience. Global gene expression profiles offer a potentially unbiased way to assess functional relationships between neurons. Here, we carried out microarray analysis of 12 populations of neurons in the adult mouse forebrain. Five of these populations were chosen from cingulate cortex and included several subtypes of GABAergic interneurons and pyramidal neurons. The remaining seven were derived from the somatosensory cortex, hippocampus, amygdala and thalamus. Using these expression profiles, we were able to construct a taxonomic tree that reflected the expected major relationships between these populations, such as the distinction between cortical interneurons and projection neurons. The taxonomic tree indicated highly heterogeneous gene expression even within a single region. This dataset should be useful for the classification of unknown neuronal subtypes, the investigation of specifically expressed genes and the genetic manipulation of specific neuronal circuit elements.

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    • "All P-values from the bioinformatic analyses were adjusted using the Benjamini–Hochberg method. For cell types and immune response enrichment, we used the following lists of genes: neurons, astrocytes and oligodendrocytes (Cahoy et al, 2008), microglia (cured from Oldham et al, 2008), and glutamate/GABA (Sugino et al, 2006). For cross species comparison, we used lists from alcohol vapor-treated rats (Tapocik et al, 2013) and human alcoholics (Lewohl et al, 2011) to identify conserved alcoholresponsive microRNAs. "
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    • "This suggests possible occlusion of relationships in more heterogeneous tissue than in more and more specific cell samples. Ideally, all analyses of this kind would be from single identified neurons (Schulz et al., 2007; Tobin et al., 2009; Kodama et al., 2012), or at least pooled neurons of a defined subclass (Sugino et al., 2006). Single cell data of this quality are technically feasible, although they would require preamplification of mRNA to have enough material for the depth of analyses provided here. "
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    • "The technique also identifies a series of 'marker' genes and proteins that can be used to subdivide, label, monitor, and manipulate subpopulations of interest. This procedure has proved valuable in other sensory processing nodes such as the medial vestibular nucleus (MVN) (Sugino et al., 2005; Kodama et al., 2012). Gene expression profiling in the MVN identified six distinct neuronal subpopulations. "
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