Divergence between motoneurons: gene expression profiling provides a molecular characterization of functionally discrete somatic and autonomic motoneurons

被引:10
作者
Cui, DP
Dougherty, KJ
Machacek, DW
Sawchuk, M
Hochman, S
Baro, DJ
机构
[1] Emory Univ, Dept Physiol, Atlanta, GA 30322 USA
[2] Georgia State Univ, Dept Biol, Atlanta, GA 30303 USA
关键词
transcriptome; identified motor neuron; combinatorial code; ion channel; transcription factor; fluorescent laser capture microscopy; spinal cord; lipid raft signaling complex;
D O I
10.1152/physiolgenomics.00109.2005
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Studies in developing spinal cord suggest that different motoneuron (MN) cell types express very different genetic programs, but the degree to which adult programs differ is unknown. To compare genetic programs between adult MN columnar cell types, we used laser capture microdissection (LCM) and Affymetrix microarrays to create expression profiles for three columnar cell types: lateral and medial MNs from lumbar segments and sympathetic preganglionic motoneurons located in the thoracic intermediolateral nucleus. A comparison of the three expression profiles indicated that similar to 7% (813/11,552) of the genes showed significant differences in their expression levels. The largest differences were observed between sympathetic preganglionic MNs and the lateral motor column, with 6% ( 706/ 11,552) of the genes being differentially expressed. Significant differences in expression were observed for 1.8% (207/11,552) of the genes when comparing sympathetic preganglionic MNs with the medial motor column. Lateral and medial MNs showed the least divergence, with 1.3% (150/ 11,552) of the genes being differentially expressed. These data indicate that the amount of divergence in expression profiles between identified columnar MNs does not strictly correlate with divergence of function as defined by innervation patterns (somatic/muscle vs. autonomic/viscera). Classification of the differentially expressed genes with regard to function showed that they underpin all fundamental cell systems and processes, although most differentially expressed genes encode proteins involved in signal transduction. Mining the expression profiles to examine transcription factors essential for MN development suggested that many of the same transcription factors participate in combinatorial codes in embryonic and adult neurons, but patterns of expression change significantly.
引用
收藏
页码:276 / 289
页数:14
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