Expressed genes in regenerating rat liver after partial hepatectomy.
Expressed genes in regenerating rat liver after partial hepatectomy.
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DOI:
10.3748/wjg.v11.i19.2932
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发表时间:
2005-05
影响因子:
4.3
通讯作者:
Cunshuan Xu;Cuifang Chang;Jinyun Yuan;Wenqiang Li;H. Han;Kejin Yang;Lifeng Zhao;Yuchang Li;Hui-yong Zhang;S. Rahman;Jingbo Zhang
中科院分区:
文献类型:
--
作者:
Cunshuan Xu;Cuifang Chang;Jinyun Yuan;Wenqiang Li;H. Han;Kejin Yang;Lifeng Zhao;Yuchang Li;Hui-yong Zhang;S. Rahman;Jingbo Zhang
AIM To reveal the liver regeneration (LR) and its control as well as the occurrence of liver disease and to study the gene expression profiles of 551 genes after partial hepatectomy (PH) in regenerating rat livers. METHODS Five hundred and fifty-one expressed sequence tags screened by suppression subtractive hybridization were made into an in-house cDNA microarray, and the expressive genes and their expressive profiles in regenerating rat livers were analyzed by microarray and bioinformatics. RESULTS Three hundred of the analyzed 551 genes were up- or downregulated more than twofolds at one or more time points during LR. Most of the genes were up- or downregulated 2-5 folds, but the highest reached 90 folds of the control. One hundred and thirty-nine of them showed upregulation, 135 displayed downregulation, and up or down expression of 26 genes revealed a dependence on regenerating livers. The genes expressed in 24-h regenerating livers were much more than those in the others. Cluster analysis and generalization analysis showed that there were at least six distinct temporal patterns of gene expression in the regenerating livers, that is, genes were expressed in the immediate early phase, early phase, intermediate phase, early-late phase, late phase, terminal phase. CONCLUSION In LR, the number of down-regulated genes was almost similar to that of the upregulated genes; the successively altered genes were more than the rapidly transient genes. The temporal patterns of gene expression were similar 2 and 4 h, 12 and 16 h, 48 and 96 h, 72 and 144 h after PH. Microarray combined with suppressive subtractive hybridization can effectively identify the genes related to LR.