• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Selective gene expression machinary during prolonged phase of hypoxia(Fostering Joint International Research)

Research Project

Project/Area Number 15KK0298
Research Category

Fund for the Promotion of Joint International Research (Fostering Joint International Research)

Allocation TypeMulti-year Fund
Research Field General medical chemistry
Research InstitutionTokyo Medical and Dental University

Principal Investigator

NAKAYAMA Koh  東京医科歯科大学, 難治疾患研究所, 准教授 (10451923)

Research Collaborator Misteli Tom  国立がん研究所, NIH Distinguished Investigator
Project Period (FY) 2016 – 2017
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥14,300,000 (Direct Cost: ¥11,000,000、Indirect Cost: ¥3,300,000)
Keywords低酸素応答 / 遺伝子発現 / 転写 / 染色体構造 / CREB / 遺伝子配置 / 転写因子
Outline of Final Research Achievements

We investigated the molecular machinery of gene expression during acute and prolonged phase of hypoxia by focusing on its nuclear position. We first picked up about 200 genes which is up-regulated during hypoxic response in a HIF- or CREB-dependent manner. Probes for these genes were synthesized and their nuclear positions were determined by HIPMap method. This analysis indicated that multiple genes which change expressions in hypoxia, also change their nuclear position. These results indicate that dynamic changes in the gene expression during hypoxia are also co-related with their nuclear positions.

Report

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

    (6 results)

All 2018 2017 2016 Other

All Int'l Joint Research (1 results) Journal Article (1 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 1 results,  Open Access: 1 results) Presentation (2 results) (of which Invited: 2 results) Remarks (2 results)

  • [Int'l Joint Research] アメリカ国立衛生研究所(米国)2017

    • Year and Date
      2017-04-08
    • Related Report
      2017 Annual Research Report
  • [Journal Article] SpotLearn: Convolutional Neural Network for Detection of Fluorescence In Situ Hybridization (FISH) Signals in High-Throughput Imaging Approaches.2018

    • Author(s)
      Gudla PR., Nakayama K., Pegoraro G., Misteli T.
    • Journal Title

      Cold Spring Harb Symp Quant Biol.

      Volume: - Pages: 57-70

    • DOI

      10.1101/sqb.2017.82.033761

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] HIFプロリン水酸化酵素Phd3が形成するタンパク質複合体を介した細胞内エネルギー代謝機構の解析2017

    • Author(s)
      中山 恒
    • Organizer
      第17回日本蛋白質科学会年会
    • Related Report
      2017 Annual Research Report
    • Invited
  • [Presentation] 低酸素環境における解糖系に依存したエネルギー代謝を制御する新たな分子機構の解析2016

    • Author(s)
      中山 恒
    • Organizer
      第39回日本分子生物学会年会
    • Place of Presentation
      パシフィコ横浜(横浜市)
    • Year and Date
      2016-11-30
    • Related Report
      2016 Research-status Report
    • Invited
  • [Remarks] 東京医科歯科大学 低酸素生物学HP

    • URL

      http://www.tmd.ac.jp/mri/section/advanced/oxy/labo/index.html

    • Related Report
      2017 Annual Research Report
  • [Remarks] 東京医科歯科大学 低酸素生物学研究室HP

    • URL

      http://www.tmd.ac.jp/mri/section/advanced/oxy/labo/index.html

    • Related Report
      2016 Research-status Report

URL: 

Published: 2016-10-04   Modified: 2019-03-29  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi