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Serial Analysis of Gene Expression Identifies Metallothionein-II as Major Neuroprotective Gene in Mouse Focal Cerebral Ischemia

Overview of attention for article published in The Journal of Neuroscience, July 2002
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Article details
Title
Serial Analysis of Gene Expression Identifies Metallothionein-II as Major Neuroprotective Gene in Mouse Focal Cerebral Ischemia
Published in
The Journal of Neuroscience, July 2002
DOI 10.1523/jneurosci.22-14-05879.2002
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Abstract

We applied serial analysis of gene expression (SAGE) to study differentially expressed genes in mouse brain 14 hr after the induction of focal cerebral ischemia. Analysis of >60,000 transcripts revealed 83 upregulated and 94 downregulated transcripts (more than or equal to eightfold). Reproducibility was demonstrated by performing SAGE in duplicate on the same starting material. Metallothionein-II (MT-II) was the most significantly upregulated transcript in the ischemic hemisphere. MT-I and MT-II are assumed to be induced by metals, glucocorticoids, and inflammatory signals in a coordinated manner, yet their function remains elusive. Upregulation of both MT-I and MT-II was confirmed by Northern blotting. MT-I and MT-II mRNA expression increased as early as 2 hr after 2 hr of transient ischemia, with a maximum after 16 hr. Western blotting and immunohistochemistry revealed MT-I/-II upregulation in the ischemic hemisphere, whereas double labeling demonstrated the colocalization of MT with markers for astrocytes as well as for monocytes/macrophages. MT-I- and MT-II-deficient mice developed approximately threefold larger infarcts than wild-type mice and a significantly worse neurological outcome. For the first time we make available a comprehensive data set on brain ischemic gene expression and underscore the important protective role of metallothioneins in ischemic damage of the brain. Our results demonstrate the usefulness of SAGE to screen functionally relevant genes and the power of knock-out models in linking function to expression data generated by high throughput techniques.

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The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
India 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 15 31%
Student > Ph. D. Student 11 22%
Student > Doctoral Student 4 8%
Professor 3 6%
Student > Master 3 6%
Other 6 12%
Unknown 7 14%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 17 35%
Neuroscience 9 18%
Medicine and Dentistry 7 14%
Biochemistry, Genetics and Molecular Biology 2 4%
Chemistry 2 4%
Other 2 4%
Unknown 10 20%