| Literature DB >> 26228249 |
Yoshiaki Yamagata1, Eiichi Takaki2, Masahiro Shinagawa3, Maki Okada3, Kosuke Jozaki3, Lifa Lee3, Shun Sato3, Ryo Maekawa3, Toshiaki Taketani3, Hiromi Asada3, Hiroshi Tamura3, Akira Nakai2, Norihiro Sugino3.
Abstract
BACKGROUND: Despite endometriosis is common estrogen dependent disease afflicting women in reproductive age, the pathogenesis has not been fully elucidated. Retinoic acid has various functions in cells as biologic modulator, and aberrant retinoid metabolism seems to be involved in the lesions of endometriosis. In order to evaluate the potential of all-trans retinoic acid (ATRA) for therapeutic treatment, a transcriptome analysis and estradiol measurements in cultured endometriotic cells and tissues were conducted.Entities:
Mesh:
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Year: 2015 PMID: 26228249 PMCID: PMC4521362 DOI: 10.1186/s13048-015-0179-6
Source DB: PubMed Journal: J Ovarian Res ISSN: 1757-2215 Impact factor: 4.234
Primer sequences used for quantitative RT-PCR
| Gene ID | Forward primer | Reverse primer | Product size (bp) |
|---|---|---|---|
|
| GGAGAAGGCAACTCCAGTCA | GCAATCAGTTGCAAGCAGTC | 92 |
|
| GTCTTCGACACCAGCCAGTT | GGCCATATCCGGAAACTCTT | 114 |
|
| GTGAGCAGGAACTGTGAGCA | CAAAAGAGCATCCAGCAACA | 136 |
|
| ACGGCTCATCGAGAAAAAGA | GAAAGCCAAATCCCAGATGA | 151 |
|
| GGGGTGTACACATTCCCAAC | AGGCTGCCCATACTTATCCA | 116 |
|
| GAATCCAGGCACCTCTACCA | GGTAGAAGCCTCGATGGTCA | 173 |
|
| ACACGGTGTCCAATTCCATT | GCCTCCTGGTACACGTTGAT | 172 |
|
| GGCAAAGGTCATGGAGATGT | TCCAGTTTGCCAAGACACAG | 127 |
|
| ACCAACCGGGGACTTACC | GTCAAACTCCACTGCCATGA | 70 |
|
| GAAACAGGCCTTCTCAGTGC | TTGCTGGGTCGTCTTTTTCT | 137 |
|
| GCTGTGACAGGACAGTGCAT | GCCTCATTGTTGTGGAGGTT | 169 |
|
| TGCACAGGAGCCAAGAGTGAA | CACATCACAGCTCCCCACCA | 132 |
|
| TGGAACTGTGGAGGTCACAA | CCACTTGGAAAGCTCCAGTC | 178 |
Results of the GeneChip microarray. Changes observed in the mRNA levels in the ATRA-treated choESC compared to the control cells
| Gene symbol | Fold-change |
|
|---|---|---|
| RARB | 7.77 | 0.0001 |
| RARRES1 | 7.31 | 0.0089 |
| DHRS3 | 6.09 | 0.0006 |
| LXN | 5.30 | 0.0016 |
| ADH1C | 4.21 | 0.0047 |
| CD22 | 4.09 | 0.0210 |
| IRF8 | 3.97 | 0.0168 |
| RARRES3 | 3.83 | 0.0142 |
| TNFSF10 | 3.68 | 0.0169 |
| IDO1 | 3.51 | 0.0369 |
| GBP4 | 3.43 | 0.0032 |
| ALDH1A1 | 3.31 | 0.0260 |
| LGALS9B | 3.06 | 0.0022 |
| ANO3 | 3.04 | 0.0092 |
| LGALS9 | 2.98 | 0.0101 |
| LGALS9C | 2.91 | 0.0034 |
| GALNT12 | 2.89 | 0.0317 |
| IRF1 | 2.87 | 0.0007 |
| IGFBP6 | 2.80 | 0.0001 |
| SLCO4C1 | 2.79 | 0.0021 |
| TRPC4 | 2.76 | 0.0121 |
| IGFBP3 | 2.54 | 0.0135 |
| MX2 | 2.45 | 0.0138 |
| TNFSF13B | 2.44 | 0.0173 |
| CYP26B1 | 2.30 | 0.0066 |
| GNG2 | 2.28 | 0.0108 |
| LOC100287290 | 2.28 | 0.0006 |
| PELO | 2.23 | 0.0459 |
| OAS2 | 2.20 | 0.0198 |
| RTP4 | 2.19 | 0.0176 |
| IFIT2 | 2.19 | 0.0459 |
| C10orf54 | 2.17 | 0.0029 |
| CFI | 2.14 | 0.0255 |
| SAMD9L | 2.12 | 0.0342 |
| ACSL5 | 2.12 | 0.0462 |
| SAMD9 | 2.10 | 0.0025 |
| TMEM140 | 2.08 | 0.0162 |
| APOL6 | 2.08 | 0.0074 |
| PLK2 | 2.06 | 0.0212 |
| CEACAM1 | 2.06 | 0.0235 |
| GNG2 | 2.04 | 0.0018 |
| PARP14 | 2.03 | 0.0113 |
| WNT4 | 2.02 | 0.0405 |
| HS6ST1 | 2.02 | 0.0207 |
| PSMB9 | 2.02 | 0.0122 |
| PTPRJ | 2.01 | 0.0001 |
| ARHGAP20 | 2.00 | 0.0210 |
| GRIA1 | −2.41 | 0.0463 |
| POPDC2 | −2.56 | 0.0401 |
| HAS2 | −2.61 | 0.0323 |
| FMO1 | −3.32 | 0.0262 |
Gene ontology categories using biological process ontology. The top 21 category terms with a gene count over three and p < 0.01 are listed
| Term | Count |
|
|---|---|---|
| Response to stimulus | 29 | 0.0035 |
| Immune system process | 20 |
|
| Negative regulation of cellular process | 20 |
|
| Negative regulation of biological process | 20 | 0.0010 |
| Organ development | 17 | 0.0098 |
| Immune response | 16 |
|
| Regulation of cell proliferation | 12 | 0.0016 |
| Defense response | 11 |
|
| Regulation of apoptosis | 11 | 0.0060 |
| Regulation of programmed cell death | 11 | 0.0065 |
| Regulation of cell death | 11 | 0.0066 |
| Negative regulation of cell proliferation | 10 |
|
| Response to other organism | 8 |
|
| Response to biotic stimulus | 8 | 0.0029 |
| Monocarboxylic acid metabolic process | 7 | 0.0037 |
| Blood vessel morphogenesis | 6 | 0.0039 |
| Positive regulation of response to stimulus | 6 | 0.0063 |
| Blood vessel development | 6 | 0.0073 |
| Vasculature development | 6 | 0.0081 |
| Hormone metabolic process | 5 | 0.0019 |
| Regulation of hormone levels | 5 | 0.0067 |
| Positive regulation of protein kinase cascade | 5 | 0.0095 |
| Cellular hormone metabolic process | 4 | 0.0031 |
| Response to lipopolysaccharide | 4 | 0.0066 |
| Secondary metabolic process | 4 | 0.0071 |
| Response to molecule of bacterial origin | 4 | 0.0089 |
Gene ontology categories using molecular function ontology. The top seven category terms with a gene count over three gene count and p < 0.05 are listed
| Term | Count |
|
|---|---|---|
| Catalytic activity | 34 | 0.0426 |
| Signal transducer activity | 19 | 0.0231 |
| Molecular transducer activity | 19 | 0.0231 |
| Carbohydrate binding | 7 | 0.0076 |
| Cytokine activity | 6 | 0.0026 |
| Sugar binding | 5 | 0.0152 |
| Carboxylic acid binding | 4 | 0.0334 |
Fig. 1Results of quantitative RT-PCR in the 11 selected genes involved in negative cellular proliferation for validation of the mRNA expression array. The values are shown as mean ± SEM of three experiments. *P < 0.05 vs. control
Fig. 2Effect of ATRA on the HSD17B2-mRNA expression in the cultured choESC. Cells were obtained from three different individuals, and the cells from a given individual were cultured in triplicate. The cells were treated with the indicated concentrations of ATRA for four days. The values are shown as mean ± SEM of three experiments. *P < 0.05 vs. control, ATRA: 10−9 M, and 10−8 M
Fig. 3Effect of ATRA on estradiol production in the cultured OEC tissues. Tissues were obtained from four different individuals, and the cells from a given individual were cultured in duplicate. The tissues were treated with 10−7 M ATRA for two days. The values are shown as mean ± SEM of four experiments