Research
Gene-expression patterns reveal underlying biological processes in Kawasaki disease
-
* Corresponding author: Stephen J Popper spopper@stanford.edu
1 Departments of Microbiology and Immunology, and Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
2 Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA 92093 and Rady Children's Hospital San Diego, San Diego, CA 92123, USA
3 Departments of Cardiology and Pediatrics, Children's Hospital Boston, and Harvard Medical School, Boston, MA 02115, USA
4 Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305, USA
5 Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304, USA
Genome Biology 2007, 8:R261 doi:10.1186/gb-2007-8-12-r261
Published: 11 December 2007Additional files
Additional data file 1:
A spreadsheet containing a list of the genes in clusters 1 and 2 in Figure 1 (cohort 1). Gene symbol, gene name, and gene cluster are listed for each gene.
Format: XLS Size: 43KB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional data file 2:
A spreadsheet containing the list of genes identified as having person-specific patterns of expression (see Figure 3).
Format: XLS Size: 23KB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional data file 3:
Seven RNA samples from different KD patients were amplified, labeled, and hybridized to cDNA microarrays on two separate occasions. The set of 601 array elements that were present in both the final dataset for cohort 1 (Figure 1) and cohort 2 (Figure 4) were used to center and organize each of the two sets of seven samples. The two datasets were then jointly organized using hierarchical clustering. Each original RNA sample is indicated by a unique color. In all cases, the replicates of each sample were paired, indicating that relative patterns of expression were maintained across the two experiments.
Format: EPS Size: 217KB Download file
Additional data file 4:
A list of the genes whose expression was correlated with clinical parameters in cohort 2. Gene symbol, gene name, and gene cluster (see Figure 4) are listed for each gene.
Format: XLS Size: 89KB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional data file 5:
Detailed information on the quantitative RT-PCR methods used in this study.
Format: DOC Size: 24KB Download file
This file can be viewed with: Microsoft Word Viewer