Evaluation of an in vitro model of hepatic inflammatory response by gene expression profiling

被引:17
|
作者
Jayaraman, A
Yarmush, ML
Roth, CM
机构
[1] Shriners Burns Hosp, Boston, MA 02114 USA
[2] Massachusetts Gen Hosp, Boston, MA 02114 USA
[3] Harvard Univ, Sch Med, Boston, MA USA
[4] Rutgers State Univ, Dept Biomed Engn, Piscataway, NJ USA
[5] Rutgers State Univ, Dept Chem & Biochem Engn, Piscataway, NJ USA
来源
TISSUE ENGINEERING | 2005年 / 11卷 / 1-2期
关键词
D O I
10.1089/ten.2005.11.50
中图分类号
Q813 [细胞工程];
学科分类号
摘要
The body's response to biochemical stress involves coordinated changes in the expression of several sets of genes that regulate its return to homeostasis. Although several cell culture systems have been utilized for studying such complex physiological events in vitro, their assessment has been limited to biochemical assays on individual genes and proteins, limiting interpretation of the results in a systems context. Advances in genomics provide an opportunity to provide a more comprehensive assessment. In this study, we have used DNA microarrays to profile gene expression dynamics during interleukin 6-stimulated inflammation in hepatocytes maintained in a stable, collagen doublegel in vitro model system. The observed expression profile was also compared with that obtained from rat liver tissue after burn injury to determine the extent and nature of responses captured by the in vitro system. Our results indicate that several aspects of the in vivo hepatic inflammatory response can be captured by the in vitro system at the molecular systems level. Statistical analysis of the mRNA profiles was also used to characterize the temporal response in each model system and demonstrate similar behavior. A small panel of molecules involved in the hepatic acute-phase response was also profiled, using quantitative kinetic polymerase chain reaction, to confirm these observations. These results indicate the utility of the stable hepatocyte culture system for expression profiling of inflammatory states and for providing insights into the interplay of changes in gene expression during complex physiological states.
引用
收藏
页码:50 / 63
页数:14
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