Neuroscience 2004 Abstract
| Presentation Number: | 606.18 |
|---|---|
| Abstract Title: | High throughput profiling of temporal gene expression patterns during mouse cerebellar development. |
| Authors: |
Peng, H.*1
; Morrison, M. E.2
; Zwingman, T. A.1
; Fletcher, C. F.1
1Neurobiology, Genomics Inst. of the Novartis Res. Fndn., San Diego, CA 2CA, 10675 John J Hopkins Dr, 92121, |
| Primary Theme and Topics |
Development - Neurogenesis and Gliogenesis -- Neuronal differentiation |
| Secondary Theme and Topics | Development<br />- Neurogenesis and Gliogenesis<br />-- Neuron-glia interactions |
| Session: |
606. Cerebellum III Poster |
| Presentation Time: | Tuesday, October 26, 2004 9:00 AM-10:00 AM |
| Location: | San Diego Convention Center - Hall A-H, Board # A1 |
| Keywords: | Microarray, Cerebellum, Pathway, Network |
The mouse cerebellar cortex is an ideal structure for studies of molecular and genetic networks controlling morphogenesis in the CNS. The cerebellum has simple anatomy and a defined set of steps for establishing its structure, and develops postnatally. Our previous study (Morrison, et al., SFN Abstract, 2003) used Affymetrix gnGNF1Musa chips to generate a full genome scale microarray dataset, which represents the gene expression levels of mouse whole cerebellum on postnatal day 0, 4, 8, 12, 16, 20, or 30. Here we employed advanced bioinformatic approach to further profile the temporal gene expression. Principle component analysis revealed 8 major expression patterns. The 1st component representing the genes with continuously increased or decreased levels counts for half (49.2%) of the total variation. The 2nd component showing a highest or lowest expression at the middle age (P8 & P12) contributes 20.2% to the total variation. The 3rd component (17.7%) has a peak/volley at the P4 & P8, while the 4th (12.9%) has a peak/volley at P16 & P20. These changes of expression are likely associated with developmental events including granule cell proliferation, migration, extension of axons, and formation of synapses with the dendrites of Purkinje cells. Combined with one-way ANOVA and limit fold change, we narrowed the number of genes of interest to 2082. In order to analyze the gene expression control networks as well as to discover new genes that play key roles during cerebellar development, the pathway analysis software MetaCore was used. The tissue gene expression atlas was also used to find tissue specific genes, which will help to identify the cerebellum specific biomarkers.
Supported by the Genomics Institute of the Novartis Research Foundation
Sample Citation:
[Authors]. [Abstract Title]. Program No. XXX.XX. 2004 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2004. Online.
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