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Rapid microbiota profiling and dysbiosis prediction by fluorescence imaging cytometry

Research Project

Project/Area Number 16K12909
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Medical systems
Research InstitutionThe University of Tokyo

Principal Investigator

Ota Sadao  東京大学, 大学院工学系研究科(工学部), 客員研究員 (70731214)

Project Period (FY) 2016-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Keywordsフローサイトメトリー / 1細胞解析 / 腸内細菌 / 環境細菌 / 細菌 / 自家蛍光 / 機械学習 / 光学 / 分光 / 細菌分類 / 知能機械 / マイクロ・ナノデバイス
Outline of Final Research Achievements

In this study, we have developed a series of high-speed optical technologies that profile a complex and large number of bacterial populations with an ultimate goal of evaluating and predicting individual and environmental microbiota dynamics from the bacterial single cell analysis. Specifically, by combining a newly designed microfluidic technology that align the stream of bacteria at the bottom wall of channel in the three-dimensional space, we developed a new high-speed fluorescent high-content flow cytometry (fluorescence imaging / autofluorescence spectrum) and demonstrated the classification of bacterial species and strains.

Academic Significance and Societal Importance of the Research Achievements

本研究では、細菌叢解析から個体や環境動態評価・予測を目指すべく、複雑で大量の1細菌集団を光学的に高速プロファイリングする技術群を提案・開発・実証しました。具体的には、マイクロ流体による細菌の底壁面三次元整列技術を開発し、新規光学技術と組み合わせることにより、高速蛍光ハイコンテンツ・フローサイトメトリー(蛍光イメージング・自家蛍光スペクトル)を新開発し、細菌分類実証を行いました。

Report

(3 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report

URL: 

Published: 2016-04-21   Modified: 2021-02-19  

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