Quantitative proteomic profiling of the human ovary from early to mid-gestation reveals protein expression dynamics of oogenesis and folliculogenesis

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Abstract

The in vivo gene networks involved in coordinating human fetal ovarian development remain obscure. In this study, quantitative mass spectrometry was conducted on ovarian tissue collected at key stages during the first two trimesters of human gestational development, confirming the expression profiling data using immunofluorescence, as well as in vitro modeling with human oogonial stem cells (OSCs) and human embryonic stem cells (ESCs). A total of 3,837 proteins were identified in samples spanning developmental days 47-137. Bioinformatics clustering and Ingenuity Pathway Analysis identified DNA mismatch repair and base excision repair as major pathways upregulated during this time. In addition, MAEL and TEX11, two key meiosis-related proteins, were identified as highly expressed during the developmental window associated with fetal oogenesis. These findings were confirmed and extended using in vitro differentiation of OSCs into in vitro derived oocytes and of ESCs into primordial germ cell-like cells and oocyte-like cells, as models. In conclusion, the global protein expression profiling data generated by this study have provided novel insights into human fetal ovarian development in vivo and will serve as a valuable new resource for future studies of the signaling pathways used to orchestrate human oogenesis and folliculogenesis.

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Bothun, A. M., Gao, Y., Takai, Y., Ishihara, O., Seki, H., Karger, B., … Woods, D. C. (2018). Quantitative proteomic profiling of the human ovary from early to mid-gestation reveals protein expression dynamics of oogenesis and folliculogenesis. Stem Cells and Development, 27(11), 723–735. https://doi.org/10.1089/scd.2018.0002

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