Ovarian infertility (Homo sapiens)
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Description
A valuable approach to the study of infertility is the comparison of mutations of individual human and mouse genes associated with infertility phenotypes. The individual gene pages in the OKdb (Ovarian Kaleidoscope Database: http://ovary.stanford.edu) contain information on associated fertility phenotypes sorted by ovarian and nonovarian defects and by subfertility or infertility. If one searches for null mutations (under mutation type) causing infertility (infertile - ovarian defect, under female fertility status) in mice (under species), 44 gene entries are found. The expression of these infertility genes in the oocyte and granulosa cells together with their cellular localization is presented in Ovarian Infertility gene map. The theca cell genes are not presented because most publications emphasize granulosa cell studies.
Proteins on this pathway have targeted assays available via the CPTAC Assay PortalQuality Tags
Ontology Terms
Bibliography
- Elzaiat M, Herman L, Legois B, Léger T, Todeschini AL, Veitia RA; ''High-throughput Exploration of the Network Dependent on AKT1 in Mouse Ovarian Granulosa Cells''; doi: 10.1074/mcp.RA119, 2019 PubMed Europe PMC Scholia
- Rehnitz J, Capp E, Messmer B, Nguyen XP, Germeyer A, Freis A, Dietrich JE, Hinderhofer K, Strowitzki T, Vogt PH; ''FMR1 and AKT/mTOR Signaling in Human Granulosa Cells: Functional Interaction and Impact on Ovarian Response''; DOI: 10.3390/jcm10173892, 2021 PubMed Europe PMC Scholia
- Rehnitz J, Capp E, Messmer B, Nguyen XP, Germeyer A, Freis A, Dietrich JE, Hinderhofer K, Strowitzki T, Vogt PH; ''FMR1 and AKT/mTOR Signaling in Human Granulosa Cells: Functional Interaction and Impact on Ovarian Response''; DOI: 10.3390/jcm10173892, 2021 PubMed Europe PMC Scholia
- Li D, Xu W, Wang X, Dang Y, Xu L, Lu G, Chan WY, Leung PCK, Zhao S, Qin Y; ''lncRNA DDGC participates in premature ovarian insufficiency through regulating RAD51 and WT1''; DOI: 10.1016/j.omtn.2021.10.015, 2021 PubMed Europe PMC Scholia
- Lin PH, Lin L, Li C, Kao PG, Tsai HW, Chen SN, Wen ZH, Wang P, Tsui KH; ''Combining Bioinformatics and Experiments to Identify CREB1 as a Key Regulator in Senescent Granulosa Cells''; DOI: 10.3390/diagnostics10050295, 2020 PubMed Europe PMC Scholia
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