The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
The Molecular Phenotype of Polycystic Ovary Syndrome (PCOS) Theca Cells and New Candidate PCOS Genes Defined by Microarray Analysis
Open accessAbstract
Polycystic ovary syndrome (PCOS) affects 5% of reproductive aged women and is the leading cause of anovulatory infertility. A hallmark of PCOS is excessive theca cell androgen secretion, which is directly linked to the symptoms of PCOS. Our previous studies demonstrated that theca cells from PCOS ovaries maintained in long term culture persistently secrete significantly greater amounts of androgens than normal theca cells, suggesting an intrinsic abnormality. Furthermore, previous studies suggested that ovarian hyperandrogenemia is inherited as an autosomal dominant trait. However, the genes responsible for ovarian hyperandrogenemia of PCOS have not been identified. In this present study, we carried out microarray analysis to define the gene networks involved in excess androgen synthesis by the PCOS theca cells in order to identify candidate PCOS genes. Our analysis revealed that PCOS theca cells have a gene expression profile that is distinct from normal theca cells. Included in the cohort of genes with increased mRNA abundance in PCOS theca cells were aldehyde dehydrogenase 6 and retinol dehydrogenase 2, which play a role in all-trans-retinoic acid biosynthesis and the transcription factor GATA6. We demonstrated that retinoic acid and GATA6 increased the expression of 17alpha-hydroxylase, providing a functional link between altered gene expression and intrinsic abnormalities in PCOS theca cells. Thus, our analyses have 1) defined a stable molecular phenotype of PCOS theca cells, 2) suggested new mechanisms for excess androgen synthesis by PCOS theca cells, and 3) identified new candidate genes that may be involved in the genetic etiology of PCOS.
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Franks, S. (1995) · New England Journal of Medicine · doi:10.1056/nejm199509283331307 · Cited by 2,463
Brown, V., Jin, P., Ceman, S., Darnell, J. C., O'Donnell, W. T., Tenenbaum, S. A., Jin, X., Feng, Y., Wilkinson, K. D., Keene, J. D., et al. (2001) · Cell · doi:10.1016/s0092-8674(01)00568-2 · Cited by 1,109
Nelson, V. L., Qin, K.-N., Rosenfield, R. L., Wood, J. R., Penning, T. M., Legro, R. S., Strauss, J. F., & McAllister, J. M. (2001) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.86.12.8088 · Cited by 405
Self-citationGene Expression Profile in Skeletal Muscle of Type 2 Diabetes and the Effect of Insulin Treatment
Sreekumar, R., Halvatsiotis, P., Schimke, J. C., & Nair, K. S. (2002) · Diabetes · doi:10.2337/diabetes.51.6.1913 · Cited by 257
Geller, D. H., Auchus, R. J., & Miller, W. L. (1999) · Molecular Endocrinology · doi:10.1210/mend.13.1.0219 · Cited by 183
Protein phosphatase 2A and phosphoprotein SET regulate androgen production by P450c17
Pandey, A. V., Mellon, S. H., & Miller, W. L. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m209527200 · Cited by 137
Napoli, J. L. (2001) · Molecular and Cellular Endocrinology · doi:10.1016/s0303-7207(00)00392-0 · Cited by 56
Cited by
Azziz, R., Carmina, E., Chen, Z., Dunaif, A., Laven, J. S. E., Legro, R. S., Lizneva, D., Natterson-Horowtiz, B., Teede, H. J., & Yildiz, B. O. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.57 · Cited by 2,005
Dumesic, D. A., Oberfield, S. E., Stener-Victorin, E., Marshall, J. C., Laven, J. S., & Legro, R. S. (2015) · Endocrine Reviews · doi:10.1210/er.2015-1018 · Cited by 1,020
Molecular biology of the 3β-hydroxysteroid dehydrogenase/Δ5-Δ4 –isomerase gene family
Simard, J., Ricketts, M.-L., Gingras, S., Soucy, P., Feltus, F. A., & Melner, M. H. (2005) · Endocrine Reviews · doi:10.1210/er.2002-0050 · Cited by 620
Follicle dynamics and anovulation in polycystic ovary syndrome
Franks, S., Stark, J., & Hardy, K. (2008) · Human Reproduction Update · doi:10.1093/humupd/dmn015 · Cited by 581
Abbott, D. H., Barnett, D. K., Bruns, C. M., & Dumesic, D. A. (2005) · Human Reproduction Update · doi:10.1093/humupd/dmi013 · Cited by 555
Metadata
- Authors
- Wood, J. R., Nelson, V. L., Ho, C., Jansen, E., Wang, C. Y., Urbanek, M., McAllister, J. M., Mosselman, S., & Strauss, J. F.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2003-07
- Volume
- 278
- Issue
- 29
- Pages
- 26380-26390
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W2109332684
- Cited by
- 260
- References
- 7
- FWCI
- 15.99
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Wood, J. R., Nelson, V. L., Ho, C., Jansen, E., Wang, C. Y., Urbanek, M., McAllister, J. M., Mosselman, S., & Strauss, J. F. (2003). The Molecular Phenotype of Polycystic Ovary Syndrome (PCOS) Theca Cells and New Candidate PCOS Genes Defined by Microarray Analysis. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.m300688200
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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