[논문]DNA Microarray Analysis of Gene Expression Profiles in Aging process of Mouse Brain

Lee Mi-Suk; Heo Jee-In; Kim Jae-Bong; Park Jae-Bong; Lee Jae-Yang; Han Jeong-A.; Kim Jong-Il

DNA Microarray Analysis of Gene Expression Profiles in Aging process of Mouse Brain 원문보기

Genomics & informatics, v.4 no.1, 2006년, pp.23 - 32

Lee Mi-Suk (Department of Biochemistry, Hallym University College of Medicine) , Heo Jee-In (Department of Biochemistry, Hallym University College of Medicine) , Kim Jae-Bong (Department of Biochemistry, Hallym University College of Medicine) , Park Jae-Bong (Department of Biochemistry, Hallym University College of Medicine) , Lee Jae-Yang (Department of Biochemistry, Hallym University College of Medicine) , Han Jeong-A. (Department of Biochemistry and Molecular Biology, Kangwon National University College of Medicine) , Kim Jong-Il (Department of Biochemistry, Hallym University College of Medicine)

Abstract ▼ AI-Helper

In order to investigate the molecular basis of the aging process in brain, we have employed high-density oligonucleotide microarrays providing data on 10,108 gene clusters to define transcriptional patterns in three brain regions, cerebral cortex, cerebellum, and hippocampus. Comparison of the expression patterns between young (6-week-old) and aged (17-month-old) C57BL/6 male micerevealed that about ten percent (1098) of the genes showed a significant change in the expression level in at least one of the three tissues. Among them, 23 genes were upregulated and 62 genes were downregulated in all three tissues of the old mice. The number of genes upregulated exclusively in hippocampus (337) was much larger compared to other tissues. Gene ontology-based analysis showed the genes related with signal transduction or molecular transports are more likely to be upregulated than downregulated in the aging process of hippocampus. These data may provide some useful means for elucidating the molecular aspect of aging in hippocampus and other regions in brain.

주제어

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제안 방법

Finally each of three data from the same tissue was normalized according to the scale differences of multiple slides. Among the 11, 520 probes mounted on the MAGIC II-10K Oligo Chip, we selected 1, 828 genes that showed more than two fold difference in at least two array data sets for the cluster analysis. Hierarchical clustering analysis revealed that each set of arrays from the same tissue was clustered together except only in one sample, cerebellum #1 (Fig.
The each cDNA was purified using the RNeasy kit (Qiagen;Valencia, USA). Each Cy3-(young mice brain), or Cy5-(old mice brain) labeled cRNA was synthesized using the Megascript T7 kit (Ambion; Austin, USA), using Cy3-CTP and Cy5-CTP (APB/ Uppsala Sweden). The cRNA was purified using the RNeasy.

대상 데이터

M기e C₅₇BL/6 mice were purchased at 1.5 months of age from Polars International Corp. or obtained at 17 months of age from Silver Biotechnology Research Center of Hallym University (Korea).

이론/모형

htm) and used for the cluster analysis and visualization. The distance metric based upon uncentered Pearson correlation was used for the hierarchical clustering. For tissue-specific expression analysis, the genes that showed more than 2-fold expression change in at least two samples from the same type of tissues were selected.

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