A hierarchical approach employing metabolic and gene expression profiles to identify the pathways that confer cytotoxicity in HepG2 cells

Zheng Li^*¹ , Shireesh Srivastava^*¹ , Xuerui Yang¹ , Sheenu Mittal¹^,5 , Paul Norton⁴ , James Resau⁴ , Brian Haab⁴ and Christina Chan¹^,2^,3

¹Department of Chemical Engineering and Material Science, Michigan State University, East Lansing, MI 48824, USA

²Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA

³Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824, USA

⁴Van Andel Institute, Grand Rapids, MI 49503, USA

⁵Department of Biochemistry and Molecular Biology, Michigan State University, USA

author email corresponding author email* Contributed equally

BMC Systems Biology 2007, 1:21doi:10.1186/1752-0509-1-21


Published:	11 May 2007

Additional files

Additional data file 1:

Metabolic profiles. The data is a table of 27 measured metabolic uptake/productions.

Format: XLS Size: 28KB Download file

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Additional data file 2:

BOH regression coefficients. Additional data file 2 is a table listing the regression coefficients of genes to BOH.

Format: XLS Size: 83KB Download file

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Additional data file 3:

TG regression coefficients. Additional data file 3 is a table listing the regression coefficients of genes to TG.

Format: XLS Size: 77KB Download file

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Additional data file 4:

BOH linear regression coefficients. Additional data file 4 is a table listing the regression coefficients to BOH with the linear regression model.

Format: XLS Size: 26KB Download file

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