Skip to main content
. 2013 Apr 15;110(18):7383–7388. doi: 10.1073/pnas.1305638110

Table 2.

Validation of RNA-sequencing using relative quantitative PCR

Gene name Location RNA-sequencing, metafemale/female Relative quantitative PCR Max Min
Ssp3 2L 0.67 0.602 0.755 0.48
Jet 2L 1 1.179 1.325 1.048
Ssrp 2R 0.67 0.524 0.576 0.477
Magu 2R 1 1.132 1.273 1.007
Lysp 3L 0.167 0.114 0.136 0.097
CG16758 3L 0.512 0.259 0.304 0.221
Oxt 3L 1 1.043 1.311 0.829
Kap-alpha1 3L 1 0.942 1.028 0.863
Ac76E 3L 1.98 1.34 1.607 1.117
Sp7 3R 0.37 0.214 0.252 0.181
Gish 3R 0.67 0.595 0.655 0.541
Nup358 3R 0.67 0.693 0.791 0.607
Rpl3 3R 1.18 1.046 1.23 0.89
Sw X 1.5 1.341 1.435 1.253
Out X 1.5 1.313 1.443 1.196
Ag5r2 X 1.5 1.571 1.675 1.473
TLK X 1 0.932 1.01 0.86
Ing3 X 1 0.954 1.204 0.756
CG9577 X 1 1.028 1.192 0.886
Myb X 1 0.908 1.08 0.763
Eo-ry X 1.4 1.475 1.719 1.265
fog X 0.96 0.928 1.126 0.764
Karl X 0.829 0.574 0.671 0.492
CG15771 X 1.76 1.529 1.924 1.215

Ratios of selected gene expression when metafemales (XXX; AA) were compared with normal females (XX; AA) are shown. Three biological and technical replicates were applied to each genotype in RT-PCR. The relative quantification (RQ) for each pair of primers was measured based on the ΔCt analysis according to the instructions from the manufacturer (7300 Real-time PCR system, sequence detection software version 1.3.1; Applied Biosystems). The data were analyzed with calculation of the 95% confidence interval. The average RQ of each gene with its maximum RQ (Max) and minimal RQ (Min) is shown.