2022 Fiscal Year Final Research Report
Establishment of in vitro culture system of bovine oocyte corresponding to the speed of nuclear maturation for production of the embryo with high implantation ability
Project/Area Number |
20K15681
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Research Category |
Grant-in-Aid for Early-Career Scientists
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Allocation Type | Multi-year Fund |
Review Section |
Basic Section 42020:Veterinary medical science-related
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Research Institution | Osaka Metropolitan University (2022) Osaka Prefecture University (2020-2021) |
Principal Investigator |
Koyama Keisuke 大阪公立大学, 大学院獣医学研究科, 准教授 (50611026)
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Project Period (FY) |
2020-04-01 – 2023-03-31
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Keywords | 牛 / 卵子 / 受精卵 / 成熟培養 / 機械学習 / 核成熟 / 個別培養 / 体外受精 |
Outline of Final Research Achievements |
This study aimed to develop an optimal in vitro culture system for bovine oocytes based on nuclear maturation speed to produce embryos with high implantation potential. Initially, a non-invasive predictive model for nuclear maturation speed was created. Subsequently, the effect of the predicted nuclear maturation speed on fertilization dynamics and embryo development following in vitro fertilization was analyzed. Results indicated that a machine learning procedure could be utilized to construct a non-invasive prediction model for nuclear maturation speed at 18 hours of in vitro maturation of bovine oocytes. Furthermore, differences in predicted nuclear maturation speed may influence the optimal timing for in vitro fertilization. Future research should focus on improving the prediction accuracy of the developed model and constructing technology to produce embryos with high implantation potential using this model.
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Free Research Field |
臨床繁殖学
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Academic Significance and Societal Importance of the Research Achievements |
本研究成果は、卵子の個別成熟培養における核成熟速度の予測が機械学習を活用することで可能であることを示した世界で初めての成果である。酪農および畜産分野において一般的な技術となっている体外培養由来受精卵移植の受胎率は約40%程度であり、移植した60%もの体外培養由来の受精卵は着床および妊娠に至らないのが現状であるが、本研究成果を活用することでその受胎率を向上させる技術開発を進めることが期待される。
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