4.7 Article

Defining a molecular atlas of the hippocampus using DNA microarrays and high-throughput in situ hybridization

Journal

JOURNAL OF NEUROSCIENCE
Volume 24, Issue 15, Pages 3879-3889

Publisher

SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.4710-03.2004

Keywords

hippocampus; in situ hybridization; DNA microarray; expression profiling; dentate gyrus; CA2; CA1; CA3

Categories

Funding

  1. NEI NIH HHS [EY14103, R01 EY014103] Funding Source: Medline
  2. NIA NIH HHS [AG06088] Funding Source: Medline
  3. NINDS NIH HHS [F32 NS010826] Funding Source: Medline

Ask authors/readers for more resources

The hippocampus consists of a series of cytoarchitecturally discrete subregions that can be distinguished from one another on the basis of morphology, connectivity, and electrophysiological properties. To understand the molecular underpinnings for these differences, DNA microarrays were used to find genes predicted to be enriched in subregions CA1, CA3, and the dentate gyrus, and >100 of these genes were subsequently analyzed using in situ hybridization to obtain cellular-level localization of their transcripts. The most striking commonality among the resulting patterns of gene expression is the extent to which cytoarchitectural boundaries within the hippocampus are respected, although the complexity of these patterns could not have been predicted on the basis of the microarray data alone. Among those genes with expression that can be characterized as restricted to neurons in one or more subregions of the hippocampus are a number of signal transduction molecules, transcription factors, calcium-binding proteins, and carbohydrate-modifying enzymes. These results suggest that important determinants of the unique identities of adult hippocampal neurons are differential signal transduction, regulation of gene expression, calcium homeostasis, and the maintenance of a unique extracellular milieu. Furthermore, the extremely high correlation between microarray data and in situ expression demonstrates the great utility of using DNA microarrays to genetically profile discrete brain regions.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available