Gene expression profile of XXXX @entity1721 cell line TE-1.

@entity1 @entity5 @entity1721 @entity876 @entity11 @entity3470 @entity418 @entity19260
@entity1721 ( @entity1721 ) is one of the most common and deadly causes of @entity5 worldwide. However, to date, the mechanisms underlying its pathogenesis remain unclear. The present study investigated the gene expression profile of @entity1 @entity418 cell line TE-1, a cell model for @entity1721 , to gain insight to the genetic regulation of this disease. @entity1 @entity418 TE-1 cells and normal esophageal @entity1 cells were cultured for isolation of total RNA. Differential expression of RNA transcripts was assessed using the Agilent 4*44 K microarray, combined with real-time PCR (qRT-PCR) for validation. Classification and function of the differential genes were illustrated by bioinformatics processing including hierarchical clustering and gene ontology (GO) analysis. We identified 4,986 transcripts with differential expression (fold-change >= 1.5, P<0.05), including 2,368 up-regulated and 2,618 down-regulated transcripts. GO analysis showed that the dysregulated transcripts were associated with biological process, cellular component, and molecular function. After bioinformatic analysis of significantly regulated signaling pathways, we found these transcripts may target 35 gene pathways, including @entity876 signaling, @entity11 , ubiquitin-mediated proteolysis, insulin signaling, cell cycle, @entity19260 metabolism, @entity3470 signaling, and MAPK signaling. The differentially expressed transcripts were screened between the @entity418 cell line TE-1 and normal esophageal cell line HET-1A, as well as their target gene pathways. Further data mining is related to prevention and treatment of @entity418 .
