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Page 4 of 13                                                         Iqbal et al. Vessel Plus 2019;3:40  I  http://dx.doi.org/10.20517/2574-1209.2019.28

                                 Table 1. List of primers used for the quantification of lipid metabolism genes
                           Gene             Forward primer            Reverse primer
                           Cholesterol metabolism genes
                             Hmgr           AGCTTGCCCGAATTGTATGT      TCTGTTGTGAACCATGTGAC
                             Hmgs           TGGCTATAAAGCTGCGGAGG      GGTGAAAGAGCCAAAGGGGA
                             Abca1          GGACATGCACAAGGTCCTGA      CAGAAAATCCTGGAGCTTCA
                             Abcg1          GCTGTGCGTTTTGTGCTGTT      TGCAGCTCCAATCAGTAGGC
                             Abcg5          AGGGCCTCACATCAACAGAG      GCTGACGCTGTAGGACACAT
                             Abcg8          AGTGGTCAGTCCAACACTCT      GAGACCTCCAGGGTATCTTG
                             Acat1          CCAATGCCAGCACACTGAAC      TCTACGGCAGCATCAGCAAA
                             Acat2          TGTTGAAAGGTGGGCAGCAA      CAGGTAACATCCCATCCCGT
                             Cyp7a          CAACGGGTTGATTCCATACC      ATTTCCCCATCAGTTTGCAG
                           Fatty acid metabolism genes
                             Cd36           TGCACCACATATCTACCAAA      TTGTAACCCCACAAGAGTTC
                             Fabp1          CAATAGGTCTGCCCGAGGAC      CAGGGTGAACTCATTGCGGA
                             Fas            GGGTTCTAGCCAGCAGAGTC      TCAGCCACTTGAGTGTCCTC
                             Acc1a          GAGGAAGTTGGCTATCCAGT      CTTGAACCTGTCTGAAGAGG
                             Acc2           TGTCCCAGGAGGCTGCATTG      TGTGCAGGTCCAGTTTCTTG
                             Scd1           CCGGAGACCCCTTAGATCGA      TAGCCTGTAAAAGATTTCTG
                           Triglycerides metabolism genes
                             Dgat1          GTTCAGCTCAGACAGTGGTT      TCAGCATCACCACACACCAA
                             Dgat2          AGCTGCAGGTCATCTCAGTA      CTGCAGGCCACTCCTAGCAC
                             Mgat2          GAGCAAAGCCCGTGTGTAGA      AAGGTCTGTAACCTGCGCTC
                             Mttp           CACACAACTGGCCTCTCATTAAAT TGCCCCCATCAAGAAACACT
                             Vldlr          GCCATATGAGAACATGCCGC      AGGACACGGGGATACACTGA
                             Ldlr           TGACTCAGACGAACAAGGCT      ATCTAGGCAATCTCGGTCTC
                             Plin1          TGCTGCACGTGGAGAGTAAG      AGCAGGGTTGGGCCCTTGTT
                             Lpl            TTTGGCTCCAGAGTTTGACC      TGTGTCTTCAGGGGTCCTTA
                             Apoc2          CATGGGGTCTCGGTTCTTCC      CTTAAGAGGGAGCCCTGCAC
                           Lipid metabolism transcription factor genes
                             Srebp1a        CCATGGACGAGCTGGCCTTC      AGTTGGCACCTGGGCTGCTG
                             Srebp1c        GGAAGCTGTCGGGGTAGCGT      CATGTCTTCAAATGTGCAAT
                             Srebp2         GCGTTCTGGAGACCATGGAG      GAGCTACAAAGTTGCTCTGA
                             Ppara          GCGTACGGCAATGGCTTTAT      GAACGGCTTCCTCAGGTTCT
                             Pparg          ATGGTGCCTTCGCTGATGCA      TGGCATCTCTGTGTCAACCA
                           Housekeeping gene
                             18 sRna        GTAACCCGTTGAACCCCATT      CCATCCAATCGGTAGTAGCG


               Analysis of gene expression by quantitative real time PCR
                     TM
               TRIzol  was used to isolate total RNA from tissues as per the manufacturer’s instructions. cDNA was
               synthesized using Omniscript RT kit from good quality RNA preparations with the purity of RNA having
               A /A  ratio of more than 1.7. Quantitative PCR in each reaction was carried out in a total volume of 20 µL,
                    280
                 260
               consisting of 5 µL of 1:100 diluted first strand cDNA sample and 15 µL of SYBR Green I PCR master mix
               solution. The reaction mixture was incubated for 10 min at 95 °C followed by 40 cycles of 15 s incubations
                                                      TM
               at 95 °C and 60 s at 60 °C in a QuantStudio  6 Flex Real-Time PCR (Applied Biosystems). Data were
               analyzed and presented as arbitrary units that were normalized to the expression of 18 sRNA, according to
               the manufacturer’s instructions. The primers were designed using Primer Express 3.0 (Applied Biosystems)
               and are shown in Table 1.

               Statistical analysis
               Data are presented as mean ± SD Statistical significance (P < 0.05) was determined using Student’s t test
               (GraphPad Prism 5).

               RESULTS

               Effect of Rorγ  gene deletion on body and liver weights
               Age matched eight-week-old male Rorγ KO mice and littermate controls on chow diet were used to assess
               the effect of Rorγ gene deletion on total body and liver weights. Rorγ gene deletion resulted in a significant
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