BMC Bioinformatics

official impact factor 3.03

Open Access Highly Access Research article

Circadian signatures in rat liver: from gene expression to pathways

Meric A Ovacik1, Siddharth Sukumaran2, Richard R Almon2,3, Debra C DuBois2,3, William J Jusko3 and Ioannis P Androulakis4*

Author Affiliations

1 Chemical and Biochemical Engineering Department, Rutgers University Piscataway, NJ 08854, USA

2 Department of Biological Sciences, State University of New York at Buffalo, Buffalo, NY 14260, USA

3 Department of Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, NY 14260, USA

4 Biomedical Engineering Department, Rutgers University Piscataway, NJ 08854, USA

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BMC Bioinformatics 2010, 11:540 doi:10.1186/1471-2105-11-540

Published: 1 November 2010

Additional files

Additional file 1:

The relative values of the associated eigenvalues for glycine, serine and threonine metabolism. The bars indicate the variation in the data captured by each individual eigenvector for glycine, serine and threonine metabolism pathways. T solid line represents the data variability captured by the corresponding eigenvectors when randomly generated data (of the same dimension) were used. No apparent distinction between the actual data and randomly generated data was identified after the first eigenvalue, as quantified by the calculated p-values.

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Additional file 2:

The first 4 rows of <a onClick="popup('http://www.biomedcentral.com/1471-2105/11/540/mathml/M2','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2105/11/540/mathml/M2">View MathML</a> that are retrieved from SVD calculations of Glycine, serine and threonine metabolism the elements of SP (k, t) are sorted from the highest to the lowest. 1)<a onClick="popup('http://www.biomedcentral.com/1471-2105/11/540/mathml/M6','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2105/11/540/mathml/M6">View MathML</a> 2) <a onClick="popup('http://www.biomedcentral.com/1471-2105/11/540/mathml/M7','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2105/11/540/mathml/M7">View MathML</a> 3) <a onClick="popup('http://www.biomedcentral.com/1471-2105/11/540/mathml/M8','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2105/11/540/mathml/M8">View MathML</a> 4) <a onClick="popup('http://www.biomedcentral.com/1471-2105/11/540/mathml/M6','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2105/11/540/mathml/M6">View MathML</a>

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Additional file 3:

Pathway activity levels of five clusters and associated information of the genes in pathways. The excel file contains two sheets. First sheet, Pathway Activities includes the pathway activity levels and associated cluster numbers. Second Sheet contains the genes in selected pathways and associated information such as gene expression, weights and correlations.

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Additional file 4:

Enriched pathways by circadian genes. The circadian genes were mapped to canonical pathways provided by http://www.broadinstitute.org/gsea/msigdb/ webcite. p-values indicate the significance of the overlap of the circadian genes within a pathway

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Additional file 5:

Individual gene expressions in cholesterol biosynthesis. Associated weights and correlations with the fitted sinusoidal model were given on top of each panel.

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Additional file 6:

Individual gene expressions in bile acid biosynthesis. Associated weights and correlations with the fitted sinusoidal model were given on top of each panel.

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