| Project/Area Number |
18H03372
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 63020:Radiation influence-related
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| Research Institution | Nagoya University |
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Principal Investigator |
Oka Yasuyoshi 名古屋大学, 環境医学研究所, 講師 (60762383)
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| Co-Investigator(Kenkyū-buntansha) |
荻 朋男 名古屋大学, 環境医学研究所, 教授 (80508317)
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| Project Period (FY) |
2018-04-01 – 2021-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥17,550,000 (Direct Cost: ¥13,500,000、Indirect Cost: ¥4,050,000)
Fiscal Year 2020: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2019: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Fiscal Year 2018: ¥8,320,000 (Direct Cost: ¥6,400,000、Indirect Cost: ¥1,920,000)
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| Keywords | DNA損傷応答システム / ゲノム不安定性 / 遺伝性疾患 / プロテオーム解析 / 疾患ゲノム解析 / マルチオミクス解析 |
|---|
| Outline of Final Research Achievements |
DNA damage response is prerequisite for the maintenance of genomic stability. Mutations in genes encoding many components of DNA damage response can result in a number of genetic disorders. Recent extensive studies using NGS analysis identify pathogenic mutations in patients with genomic instability. Because the average healthy person has dozens of genetic variants predicted to severely disrupt protein-coding genes, known as loss-of-function variants, and WES is not able to detect chromosomal translocations, large chromosomal deletions and non-canonical splicing mutations, it is difficult to narrow down and identify pathogenic mutations from patients with extremely rare genetic diseases using only NGS technologies. Using deep proteome analysis, we found the novel disease-causing mutation in the RNASEH2B gene from the patient with microcephaly, cerebral atrophy, and basal ganglia calcification, who was undiagnosed using a WES analysis.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究では、全エキソーム解析のみでは疾患発症因子の同定に至らなかった症例について、プロテオーム解析を実施することで、原因因子を特定することが可能となった。全エキソーム解析に加えて、全ゲノム解析、RNAシーケンス解析、本研究で実施したプロテオーム解析を組み合わせた、マルチオミクス解析を実施することにより、診断率の向上ならびに未診断遺伝性疾患の病態解明へと繋がることが期待される。
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