Files in this Data Supplement:

• Supplemental Figure 1 (PDF, 57 KB) - Cluster Analysis of the Gene Expression Profile of CD4⁺ and CD8⁺ T cells. All 518 differentially expressed genes were clustered according to the geometric mean expression levels of the 6 donors in the CD4⁺ and CD8⁺ T cells at the early and late activation timepoints, using a Pearson Correlation k-means clustering algorithm in GeneSpring. Genes are coloured according to the mean expression level in the CD4⁺ T cell Early Activation timepoint. A small number of highly expressed genes have been omitted from the display for clarity.
  
  
• Supplemental Table 1 (Microsoft Excel, 65 KB) - Differentially Expressed Early-Activation Genes. PBMC were stimulated for 6 days with live M. tuberculosis, and then re-stimulated with autologous macrophages infected with fresh M. tuberculosis for a further 16 hours. Gene expression levels in isolated CD4⁺ and CD8⁺ T cells were compared by cDNA-array hybridisation, and those genes which were differentially expressed by at least 1.3-fold (P<0.05, n=6) are shown.
  ¹Not yet all approved by the HUGO gene nomenclature committee
  ²Genbank accession number, where no reference sequence exists
  ³After normalisation, where the median expression level of genes for each array was normalised to 1
  
  
• Supplemental Table 2 (Microsoft Excel, 80 KB) - Differentially Expressed Late-Activation Genes. PBMC were stimulated for 7 days with live M. tuberculosis. Gene expression levels in isolated CD4⁺ and CD8⁺ T cells were compared by cDNA-array hybridisation, and those genes which were differentially expressed by at least 1.3-fold (P<0.05, n=6) are shown.
  ¹Not yet all approved by HUGO gene nomenclature committee
  ²Genbank accession number, where no reference sequence exists
  ³After normalisation, where the median expression level of genes for each array was normalised to 1
  
  
• Supplemental Table 3 (Microsoft Excel, 76 KB) - Cluster analysis of Gene Expression Profiles. All 518 differentially expressed genes were subjected to a Pearson correlation k-means clustering algorithm. The table shows the genes lying within the 6 resultant clusters, which reflect the expression pattern.