2020 Fiscal Year Final Research Report
Elucidation of renal disease onset and progression mechanism using single cell RNA-sequence
Project/Area Number |
19K22621
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Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
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Allocation Type | Multi-year Fund |
Review Section |
Medium-sized Section 53:Organ-based internal medicine and related fields
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Research Institution | Osaka University |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
井上 和則 大阪大学, 医学系研究科, 助教 (10631301)
水井 理之 大阪大学, 医学系研究科, 講師 (30423106)
松井 功 大阪大学, 医学系研究科, 助教 (60456986)
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Project Period (FY) |
2019-06-28 – 2021-03-31
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Keywords | single cell RNA解析 / 腎発生 |
Outline of Final Research Achievements |
In this study, single-cell RNA sequencing data obtained from embryonic mouse kidney were re-analyzed. Manifold learning based on partition-based graph-abstraction coordinated cells, reflecting their expected lineage relationships. Consequently, the coordination in combination with ForceAtlas2 enabled the inference of parietal epithelial cells of Bowman's capsule and the inference of cells involved in the developmental process from the S-shaped body to each nephron segment. RNA velocity suggested developmental sequences of proximal tubules and podocytes. In combination with a Markov chain algorithm, RNA velocity suggested the self-renewal processes of nephron progenitors. NicheNet analyses suggested that not only cells belonging to ureteric bud and stroma, but also endothelial cells, macrophages, and pericytes may contribute to the differentiation of cells from nephron progenitors.
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Free Research Field |
腎臓内科
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Academic Significance and Societal Importance of the Research Achievements |
シングルセルRNA-seq解析では、trajectory解析やRNA velocity解析などを用いることで、従来のbulk RNA sequenceとは異なった側面から生命現象を捉えることが可能です。シングルセルRNA-seq解析技術は日々進化しており、今後益々有用なツールとなると考えられる。
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