副研究員
通過13C代謝流量分析揭示代謝活動的基本規律，為各類代謝性疾病和腫瘤發生提供進行幹預的理論依據。
基於代謝組學及動態同位素示蹤技術🍥，穩態和非穩態13C代謝流分析，建立工業菌株動態代謝網絡的代謝流集成平臺⛅️。
代謝流量組學，反映基因-蛋白-代謝物之間的相互作用對代謝網絡的綜合效應。13C代謝流量分析在推動代謝工程和合成生物學從窮舉試錯法到理性設計轉變，發揮至關重要的作用。此外🏊🏼♂️，由於這項技術能夠用於確定細胞能量來源🧑🏼🚒、疾病代謝狀態異質性和藥物引起的代謝變化，也已成功應用於生物醫藥與大健康領域🖱。
Ruilian Yao, Jiawei Li, Lei Feng, Xuehong Zhang, Hongbo Hu. 13C metabolic flux analysis-guided metabolic engineering of Escherichia coli for improved acetol production from glycerol. Biotechnology for Biofuels, 2019, 12:29
Ruilian Yao#, Di Liu#, Xiao Jia, Yuan Zheng, Wei Liu, Yi Xiao. CRISPR-Cas9/Cas12a biotechnology and application in bacteria. Synthetic and Systems Biotechnology, 2018, 3(3): 135-149.
Ruilian Yao, Keli Pan, Huasong Peng, Lei Feng, Hongbo Hu, Xuehong Zhang. Engineering and systems-level analysis of Pseudomonas chlororaphis for production of phenazine-1-carboxamide using glycerol as the cost-effective carbon source. Biotechnology for Biofuels, 2018, 11:130.
Ruilian Yao, Dewang Xiong, Hongbo Hu, Masataka Wakayama, Wenjuan Yu, Xuehong Zhang, Kazuyuki Shimizu. Elucidation of the co-metabolism of glycerol and glucose in Escherichia coli by genetic engineering, transcription, profiling, and 13C metabolic flux analysis. Biotechnology for Biofuels, 2016, 9:175.
論文下載
支撐材料