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. 2015 Jun 16;113(2):345–353. doi: 10.1038/bjc.2015.205

Table 3. Variation in gene expression levels within and between laboratories testing the same subtissue.

Tissue category Subtissue Lab ID Sample size Within-lab correlation (r) Between-lab correlation (r)
Brain+nerve Caudate nucleus E-AFMX-6 29 0.715 0.732
    GSE3790 1 NA  
Heart+muscle Heart GSE2240 23 0.722 0.880
    GSE974 13 0.606  
Heart+muscle Smooth muscle E-MEXP-569 8 0.749 0.570
    E-MEXP-66 1 NA  
Endocrine organs Thymocyte E-MEXP-337 13 0.623 0.853
    GSE1460 1 NA  
Brain+nerve Brain GSE5392 23 0.582 0.662
    E-LGCL-5 15 0.679 0.301
    E-TABM-145 1 NA 0.598
Heart+muscle Skeletal muscle GSE3307 9 0.797 0.822
    GSE6011 7 0.803 0.793
    GSE1786 1 NA 0.449
Expression=subtissue+gene+lab(subtissue)+subtissue × gene+lab(subtissue) × gene
Effect d.f. SS F-value P-value
Subtissue 5 155.5 6.97 0.003
Gene 22 1003.7 11.86 <0.001
Lab(subtissue) 8 22.8 1.1 0.362
Subtissue × gene 110 2510.6 6.14 <0.001
Lab(subtissue) × gene 176 554.2 4.18 <0.001
Error 3303 2489.0    

The subtissues and their corresponding laboratories (represented by an ArrayExpress experiment ID) are given along with the number of tissue samples that were tested in each lab. For each lab (with sample size >1) an average within-lab correlation was calculated using the expression values across all 23 genes in each sample. For each subtissue, the pairwise correlation between all labs is given (in the order lab 1 vs 2, 1 vs 3, and 2 vs 3) using the mean expression values across all 23 genes for each lab. The analysis of variance (ANOVA) model and results of the data analysis are shown at the bottom of the table.