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Huang da, W., Sherman, B.T. and Lempicki, R.A. (2009) Bioinformatics Enrichment Tools: Paths toward the Comprehensive Functional Analysis of Large Gene Lists. Nucleic Acids Research, 37, 1-13.
https://doi.org/10.1093/nar/gkn923

has been cited by the following article:

• TITLE: Bioinformatic Analysis of Differential Genes in Sinusoidal Endothelial Cells of Liver Cirrhosis Rat

  AUTHORS: Xiong Zhao, Haofeng Lu, Mi Li

  KEYWORDS: Cirrhosis, Gene Chip, Sinusoidal Endothelial Cells, Bioinformatics

  JOURNAL NAME: Yangtze Medicine, Vol.5 No.2, April 15, 2021

  ABSTRACT: Objective: Based on the GEO database, the differential genes of sinusoidal endothelial cells in cirrhotic rats were analyzed. Methods: 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 Results: 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. Conclusion: CDH2 and COL1A1 may be important target genes for cirrhosis.