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. 2004 Dec 16;7(2):R217–R229. doi: 10.1186/ar1475

Table 3.

Chemokine and chemokine receptor expression data analysis

Gene RA Non-RA Regulation (ratio RA/non-RA)
Receptors
Array column 3 (Fig. 1, C3)
 CCR1 0.050 0.023 Up (2.2 ± 0.2)
 CCR2a 0.031 0.012 ○● Up (2.7 ± 0.2)
 CCR2b 0.000 ○ 0.000 ○ Not visible (NA)
 CCR3 0.000 ○ 0.000 ○ Not visible (NA)
 CCR4 0.003 ○ 0.000 ○ Not visible (NA)
 CCR5 0.042 0.000 ○● Up (NA)
 CCR6 0.001 ○ 0.000 ○ Not visible (NA)
 CCR7 0.022 ○● 0.011 ○ Not visible (2.5 ± 0.9)
 CCR9 0.001 ○● 0.000 ○ Not visible (NA)
 CX3CR1 0.028 ○● 0.019 ○● Not visible (1.5 ± 0.1)
 CXCR1 0.036 ○● 0.008 ○● Not visible (9.6 ± 5.6)
 CXCR2 0.651 0.000 ○● Up (NA)
 CXCR4 0.190 0.055 Up (3.5 ± 0.1)
 CXCR5 1.328 0.059 Up (22.6 ± 0.7)
 CXCR6 (STRL33) 0.016 0.025 Not visible (0.7 ± 0.0)
 Bob 0.034 0.000 ○ Up (NA)
Chemokines
Array column 1 (Fig. 1, C1)
 CCL21 (6Ckine) 0.030 0.019 ○ Up (1.6 ± 0.1)
 CXCL13 (BLC/BCA-1) 0.052 0.020 ○ Up (2.8 ± 0.4)
 CXCL10 (IP-10) 0.031 0.019 ○● Up (1.6 ± 0.1)
 CXCL5 (ENA-78) 0.050 0.015 ○● Up (3.5 ± 0.3)
 CCL11 (eotaxin) 0.050 0.052 Not visible (1.0 ± 0.0)
 CCL24 (eotaxin-2) 0.032 0.013 ○ Up (2.5 ± 0.3)
 CX3CL1 (fractalkine) 0.030 ○● 0.012 ○ Not visible (2.5 ± 0.2)
 CXCL1 (GRO-α) 0.090 0.057 Up (1.6 ± 0.0)
 CXCL2 (GRO-β) 0.151 0.101 Up (1.5 ± 0.0)
 CXCL3 (GRO-γ) 0.101 0.055 Up (1.8 ± 0.0)
 CCL14 (HCC-1) 0.202 0.296 Down (0.7 ± 0.0)
 CCL16 (HCC-4) 0.006 ○● 0.000 ○ Not visible (NA)
 CCL1 (I-309) 0.007 ○● 0.000 ○ Not visible (NA)
 CXCL8 (IL-8) 0.086 0.026 Up (3.3 ± 0.2)
 CXCL7 (LDGF) 0.005 ○ 0.000 ○ Not visible (NA)
 CCL15 (MIP-1δ) 0.009 ○● 0.008 ○ Not visible (11 ± 13)
 XCL1 (lymphotactin) 0.048 0.031 Up (1.6 ± 0.0)
 CCL2 (MCP-1) 0.482 0.545 Not visible (0.9 ± 0.0)
 CCL8 (MCP-2) 0.053 0.062 Not visible(0.9 ± 0.0)
 CCL7 (MCP-3) 0.066 0.047 Up (1.4 ± 0.1)
 CCL13 (MCP-4) 0.000 ○ 0.002 ○ Not visible (0.0)
 CCL22 (MDC) 0.000 ○● 0.008 ○ Not visible (0.0)
Array column 2 (Fig. 1, C2)
 Midkine 0.299 0.155 Up (1.9 ± 0.0)
 CXCL9 (MIG) 0.166 0.047 Up (3.6 ± 0.1)
 CCL3 (MIP-1α) 0.040 0.042 Not visible (1.0 ± 0.0)
 CCL4 (MIP-1β) 0.023 0.018 ○● Up (1.3 ± 0.2)
 CCL20 (MIP-3α) 0.000 ○ 0.013 ○ Not visible(0.0)
 CCL19 (MIP-3β) 0.023 0.042 Not visible (0.6 ± 0.0)
 CCL23 (MPIF-1) 0.039 0.042 Up (0.9 ± 0.0)
 CCL18 (PARC) 0.146 0.033 Up (4.5 ± 0.4)
 CCL5 (RANTES) 0.037 0.031 Up (1.2 ± 0.1)
 CXCL12 (SDF-1) 0.409 0.573 Down (0.7 ± 0.0)
 CCL17 (TARC) 0.000 ○ 0.000 ○ Not visible (NA)
 CCL25 (TECK) 0.000 ○ 0.000 ○ Not visible (NA)

Following hybridization to labelled mRNA extracted from rheumatoid arthritis (RA) and non-RA synovia, a pair of array membranes was autoradiographed for varying lengths of time. The autoradiograms were scanned and analysed with the ArrayVision software (version 6.0; Imaging Research Inc., Haverhill, UK). For each RA/non-RA pair the housekeeping genes on the membranes showed very similar intensities, were not saturated and were used to normalize the data. The analysis measured the 'volume' of each spot (i.e. the density value of each spot multiplied by its area). The background was measured using the 'corners between spots' protocol of the software and was deducted from the 'volumes'. The ratio of RA synovia versus non-RA synovia was also calculated for each spot. The analysis was repeated eight times for each pair of autoradiograms, providing 16 values for each gene (each gene is spotted in duplicate) on each pair. Figures in the columns RA, non-RA and ratio RA/non-RA represent the average of 16 values. For each average ratio the 95% confidence level was calculated, and the results presented are those from the autoradiogram pair giving the smallest variation. ○, spot was not visible by eye on the corresponding autoradiogram; ●, spot was visible after prolonged exposure. The mRNA regulation of RA versus non-RA as observed by eye at the time point used for quantification is indicated by not visible, up or down. NA, ratio could not be calculated due to the presence of zero values. The recent systematic nomenclature of chemokines is used, with the former names in parentheses. The order of the genes presented is the same as that appearing on the microarray in Fig. 1.