Gene expression differences of regenerating rat liver in a short interval successive partial hepatectomy |
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Authors: | Xu Cun-Shuan Zhang An-Shi Han Hong-Peng Yuan Jin-Yun Chang Cui-Fang Li Wen-Qiang Yang Ke-Jin Zhao Li-Feng Li Yu-Chang Zhang Hui-Yong Rahman Salman Zhang Jing-Bo |
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Affiliation: | 1. College of Life Sciences, Henan Normal University, Xinxiang 453007, Henan Province, China 2. State Key Laboratory of Cell Differentiation and Regulation of Province and Ministry, Xinxiang 453007, Henan Province, China 3. Homophilia Research Center, London University,London SE17EH, United Kingdom |
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Abstract: | AIM: To identify the genes expressed differentially in the regenerating rat liver in a short interval successive partial hepatectomy (SISPH), and to analyze their expression profiles. METHODS: Five hundred and fifty-one elements selected from subtractive cDNA libraries were conformed to a cDNA microarray (cDNA chip). An extensive gene expression analysis following 0-36-72-96-144 h SISPH was performed by microarray. RESULTS: Two hundred and sixteen elements were identified either up- or down-regulated more than 2-fold at one or more time points of SISPH. By cluster analysis and generalization analysis, 8 kinds of ramose gene expression clusters were generated in the SISPH. Of the 216 elements, 111 were up-regulated and 105 down-regulated. Except 99 unreported genes, 117 reported genes were categorized into 22 groups based on their biological functions. Comparison of the gene expression in SISPH with that after partial hepatectomy (PH) disclosed that 56 genes were specially altered in SISPH, and 160 genes were simultaneously up-regulated or down-regulated in SISPH and after PH, but in various amount and at different time points. CONCLUSION: Genes expressed consistently are far less than that intermittently; the genes strikingly increased are much less than that increased only 2-5 fold; the expression trends of most genes in SISPH and in PH are similar, but the expression of 56 genes is specifically altered in SISPH. Microarray combined with suppressive subtractive hybridization can in a large scale effectively identify the genes related to liver regeneration. |
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