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BioMed Research International
Volume 2013 (2013), Article ID 505864, 17 pages
http://dx.doi.org/10.1155/2013/505864
Research Article

Systems Approaches to Modeling Chronic Mucosal Inflammation

1Sealy Center for Molecular Medicine, The University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555, USA
2Department of Internal Medicine, The University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555, USA
3Hamon Center for Therapeutic Oncology Research, Department of Internal Medicine Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
4Institute for Translational Sciences, The University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555, USA
5Departments of Biochemistry and Molecular Biology, The University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555, USA
6Microbiology and Immunology, The University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555, USA

Received 12 June 2013; Revised 8 August 2013; Accepted 9 August 2013

Academic Editor: Tao Huang

Copyright © 2013 Mridul Kalita et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supplementary Information: Table S1 represents the fold change of all genes for a given time-course in EMT (+TGF) and non-EMT (-TGF) states of HSAECs. For genes whose expression value could not be measured, their fold change value is marked as NA. Table S2 represents the Z scores of all genes for a given time-course in EMT (+TGF) and non-EMT (-TGF) states of HSAECs. The method of Z score calculation is explained in the Methods section of the manuscript. This is a standard transformation that expresses the sample deviation from the row mean in standard deviation units, and allows gene expression data derived from different microarray studies to be comparable across experiments. For genes whose expression value could not be measured, their fold change value is marked as NA.

  1. Supplementary Table