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. 2014 Feb 5;9(2):e88302. doi: 10.1371/journal.pone.0088302

Table 1. qPCR versus Microarray results correlations and primers used.

Genes Pearson (r) Statistics Foward Reverse
Il6 0,91 p = 0,001 5′-GTTCTCTGGGAAATCGTGGA-3′ 5′-TGTACTCCAGGTAGCTATGG-3′
Il12a 0,89 p = 0,001 5′-GATCATGAAGACATCACACGG-3′ 5′-AGAATGATCTGCTGATGGTGG-3′
Il10 0,84 p = 0,01 5′-TCAAACAAAGGACCAGCTGGACAACATACTG-3′ 5′-CTGTCTAGGTCCTGGAGTCCAGCAGACTCAA-3′
Il1b 0,81 p = 0,01 5′-CAGTTCTGCCATTGACCATC-3′ 5′-TCTCACTGAAACTCAGCCGT-3′
Tnfa 0,82 p = 0,01 5′-TCTCATCAGTTCTATGGCCC-3′ 5′-GGGAGTAGACAAGGTACAAC-3′
Csf2 0,80 p = 0,01 5′-TGAACCTCCTGGATGACATG-3′ 5′-GTGTTTCACAGTCCGTTTCC-3′
Cxcl1 0.89 p = 0,001 5′- TGAAGCTCCCTTGGTTCAGA-3′ 5′- AGGTGCCATCAGAGCAGTCT-3′
Msr1 0.91 p = 0,001 5′- GGGGAGTGTAGGCGGATCAACCCC-3′ 5′- CGGCCCTCATGGGCTCCACTA-3′
Hmox1 0.87 p = 0,001 5′- ACCAGAGTCCCTCACAGATGGCG-3′ 5′- GCAGGGGCAGTATCTTGCACCA-3′
β2microglubulin 0.97 p = 0,001 5′TGACCGGCTTGTATGCTATC-3′ 5′-CAGTGTGAGCCAGGATATAG-3′

Relative differences were calculated according to the delta-delta Ct method. Microarray data was correlated with qPCR results using Pearson’s analyses and the same four samples on each line.