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Physiol. Genomics (January 29, 2002). doi:10.1152/physiolgenomics.00090.2001
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Articles in PresS, published online ahead of print January 29, 2002
Physiol Genomics, 10.1152/physiolgenomics.00090.2001
Submitted on October 1, 2001
Accepted on January 24, 2002

Gene expression tomography

Vanessa M Brown1, Alex Ossadtchi2, Arshad H Khan1, Sanjiv S Gambhir3, Simon R Cherry3, Richard M Leahy2, and Desmond J Smith3*

1 Pharmacology, UCLA School of Medicine, Los Angeles, CA, USA; Crump Institute for Molecular Imaging, University of California, Los Angeles, CA, USA
2 Electrical Engineering, School of Engineering, University of Southern California, Davis, CA, USA
3 Pharmacology, UCLA School of Medicine, Los Angeles, CA, USA; Crump Institute for Molecular Imaging, University of California, Los Angeles, CA, USA; Energy Lab for Structural Biol & Mol Med, UC School of Medicine, Los Angeles, CA, USA

* To whom correspondence should be addressed. E-mail: DSmith{at}mednet.ucla.edu.

Gene expression tomography, or GET, is a new method to increase the speed of 3D gene expression analysis in the brain. The name is evocative of the method's dual foundations in high throughput gene expression analysis and computerized tomographic image reconstruction, familiar from techniques such as PET and CT. In GET, brain slices are taken using a cryostat in conjunction with axial rotation about independent axes to create a series of "views" of the brain. Gene expression information obtained from the axially rotated views can then be used to recreate 3D gene expression patterns. GET was used to successfully reconstruct images of tyrosine hydroxylase gene expression in the mouse brain, using both RNase protection and real-time QRT-PCR. A Monte-Carlo analysis confirmed the good quality of the GET image reconstruction. By speeding acquisition of gene expression patterns, GET may help improve our understanding of the genomics of the brain in both health and disease.




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