Literature DB >> 15738661

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

Arul Jayaraman1, Martin L Yarmush, Charles M Roth.   

Abstract

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 double-gel 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.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15738661     DOI: 10.1089/ten.2005.11.50

Source DB:  PubMed          Journal:  Tissue Eng        ISSN: 1076-3279


  7 in total

1.  A high-throughput microfluidic real-time gene expression living cell array.

Authors:  Kevin R King; Sihong Wang; Daniel Irimia; Arul Jayaraman; Mehmet Toner; Martin L Yarmush
Journal:  Lab Chip       Date:  2006-09-29       Impact factor: 6.799

2.  Analysis of time-series gene expression data: methods, challenges, and opportunities.

Authors:  I P Androulakis; E Yang; R R Almon
Journal:  Annu Rev Biomed Eng       Date:  2007       Impact factor: 9.590

Review 3.  The liver is a metabolic and immunologic organ: A reconsideration of metabolic decompensation due to infection in inborn errors of metabolism (IEM).

Authors:  Tatyana N Tarasenko; Peter J McGuire
Journal:  Mol Genet Metab       Date:  2017-06-24       Impact factor: 4.797

4.  Macrophage derived TNFα promotes hepatic reprogramming to Warburg-like metabolism.

Authors:  Tatyana N Tarasenko; Maxim Jestin; Shingo Matsumoto; Keita Saito; Sean Hwang; Oksana Gavrilova; Niraj Trivedi; Patricia M Zerfas; Emanuele Barca; Salvatore DiMauro; Julien Senac; Charles P Venditti; Murali Cherukuri; Peter J McGuire
Journal:  J Mol Med (Berl)       Date:  2019-05-03       Impact factor: 4.599

5.  Identification of global transcriptional dynamics.

Authors:  Eric H Yang; Richard R Almon; Debra C Dubois; Willian J Jusko; Ioannis P Androulakis
Journal:  PLoS One       Date:  2009-07-10       Impact factor: 3.240

6.  Long-term superior performance of a stem cell/hepatocyte device for the treatment of acute liver failure.

Authors:  Hiroshi Yagi; Biju Parekkadan; Kazuhiro Suganuma; Alejandro Soto-Gutierrez; Ronald G Tompkins; Arno W Tilles; Martin L Yarmush
Journal:  Tissue Eng Part A       Date:  2009-11       Impact factor: 3.845

7.  Bioinformatics analysis of the early inflammatory response in a rat thermal injury model.

Authors:  Eric Yang; Timothy Maguire; Martin L Yarmush; Francois Berthiaume; Ioannis P Androulakis
Journal:  BMC Bioinformatics       Date:  2007-01-10       Impact factor: 3.169

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.