Individual variation of adipose gene expression and identification of covariated genes by cDNA microarrays
Individual variation of adipose gene expression and identification of covariated genes by cDNA microarrays
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DOI：
10.1152/physiolgenomics.00051.2002
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发表时间：
2002-10-02
影响因子：
4.6
通讯作者：
Klaus, S
中科院分区：
文献类型：
--
作者：
Boeuf, S;Keijer, J;Klaus, S
通过应用微阵列进行基因表达谱分析，可以全面评估给定组织或细胞群中的基因表达水平，以及改变生理或病理情况下基因表达变化的信息。微阵列特别适合研究大量不同基因调控中的相互作用，因为它们的表达是同时分析的。为了更好地了解脂肪组织的生理学，进而了解肥胖和糖尿病，通过使用含有类似脂肪基因 300 个 cDNA 片段的微阵列分析西伯利亚侏儒仓鼠皮下白色和棕色脂肪中基因表达的个体变异性，尝试鉴定基因表达的协变异性。没有发现基因表达的性别依赖性变异，总体个体变异相当低，超过80%的克隆表现出变异系数低于30%。解偶联蛋白 1 (UCP1) 在棕色脂肪中表现出高度的基因表达变异性，与补体因子 B (FactB) 的基因表达呈负相关，这意味着可能存在功能关系。
Gene expression profiling through the application of microarrays provides comprehensive assessment of gene expression levels in a given tissue or cell population, as well as information on changes of gene expression in altered physiological or pathological situations. Microarrays are particularly suited to study interactions in the regulation of large numbers of different genes, since their expression is analyzed simultaneously. For improved understanding of the physiology of adipose tissue, and consequently obesity and diabetes, identification of covariability in gene expression was attempted by analysis of the individual variability of gene expression in subcutaneous white and brown fat of the Siberian dwarf hamster using microarrays containing similar to300 cDNA fragments of adipose genes. No sex-dependant variability in gene expression could be found, and overall individual variability was rather low, with more than 80% of clones showing a coefficient of variation lower than 30%. Uncoupling protein 1 (UCP1) displayed a high variability of gene expression in brown fat, which was negatively correlated with the gene expression of complement factor B (FactB), implying a possible functional relationship.