%0 Journal Article
%T Bioinformatic Analysis of Differential Genes in Sinusoidal Endothelial Cells of Liver Cirrhosis Rat
%A Xiong Zhao
%A Haofeng Lu
%A Mi Li
%J Yangtze Medicine
%P 133-140
%@ ****-****
%D 2021
%I Scientific Research Publishing
%R 10.4236/ym.2021.52014
%X <strong>Objective:</strong> Based on the GEO database, the differential genes of sinusoidal endothelial cells in cirrhotic rats were analyzed. <strong>Methods:</strong> In the GEO database, the differential gene expressions of liver sinusoidal endothelial cells in cirrhotic rats were obtained. The screening was performed according to P &lt; 0.01 and differential multiple factor ¡Ý 4. The obtained genes were input into the DAVID database for enrichment analysis of genes and pathways. The GeneMania and string databases were then used for protein interaction analysis. <strong>Results:</strong> The GSE1843 dataset was obtained in the GEO database, and three pathways significantly associated with cirrhosis and 13 differential genes enriched in three pathways were screened. Text mining revealed that 11 differential genes were directly associated with cirrhosis. The other two were indirectly linked by other genes. The screened genes and known gene formation networks were discovered by the GeneMania tool. <strong>Conclusion:</strong> CDH2 and COL1A1 may be important target genes for cirrhosis.
%K Cirrhosis
%K Gene Chip
%K Sinusoidal Endothelial Cells
%K Bioinformatics
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=108471