Development of Systematic Analysis Method of Gene Network for Adipocyte Transdifferentiation

2017 Fiscal Year Final Research Report

• Project/Area Number: 26280106
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Life / Health / Medical informatics
• Research Institution: Osaka University
• Principal Investigator: Matsuda Hideo 大阪大学, 情報科学研究科, 教授 (50183950)
• Co-Investigator(Kenkyū-buntansha): 瀬尾 茂人 大阪大学, 情報科学研究科, 准教授 (30432462)
• Co-Investigator(Renkei-kenkyūsha): KAWADA Teruo 京都大学, 大学院農学研究科, 教授 (10177701)
• Project Period (FY): 2014-04-01 – 2018-03-31
• Keywords: 遺伝子ネットワーク / 脂肪細胞 / ベイジアンネットワーク / 遺伝子発現解析

Outline of Final Research Achievements

In mammals under cold-exposure stimulation, adipocytes change to be brown and to have thermogenic activity. However, it has not been discovered why only a part of adipocytes obtain the activity. In this study, we measured time-course gene expression of various adipose tissues under the stimulation. As the results of gene network analysis using the expression data, we elucidated that an inflammatory cytokine suppresses the browning of adipocytes. We also developed a method for predicting target genes of microRNAs that regulate the expression of the genes related to the adipocytes browning. In addition, we developed a method for the segmentation of adipocyte areas from the microscopic images of adipose tissues based on deep learning. The method was used for automatic and quantitative calculation of the areas of adipocytes to measure the change of their cell sizes by decomposing fat due to the browning.

Free Research Field

バイオインフォマティクス